Tampilkan postingan dengan label Jenis Riset. Tampilkan semua postingan
Tampilkan postingan dengan label Jenis Riset. Tampilkan semua postingan

Minggu, 22 September 2013

Ragam Jenis Penelitian

                            Ragam Jenis Penelitian

Written by Ari Julianto


Penelitian dapat diklasifikasikan menjadi bermacam-macam. Klasifikasi tersebut dapat dilakukan berdasarkan beberapa tinjauan. Secara umum setiap ilmu pengetahuan bertujuan mengembangkan ilmu baru dan secara khusus ilmu pengetahuan bertujuan:
1. menggambarkan (to describe)
2. meramalkan (to predict)
3. mengendalikan (to control)
4. menerangkan (to explain)

Namun, beberapa ahli dan penulis memiliki klasifikasi yang berbeda tergantung dari sudut pandang dan penilaian mereka masing-masing. Berikut rangkuman jenis-jenis penelitian ditinjau dari beragam aspek.
P = Penelitian
R = Research
S = Studi/Study

1. Berdasarkan Bidang Ilmu
a. P. Pendidikan (Educational R.)
b. P. Kedokteran (Medical R.)
c. P. Keperawatan (Nursing R.)
dan sebagainya

2. Berdasarkan Pendekatan dan Bentuk Data
a. P. Kuantitatif (Quantitative R.)
b. P. Kualitatif (Qualitative R.)

3. Berdasarkan Tempat
a. P. Perpustakaan (Library R.)
b. P. Laborartorium (Laboratory R.)
c. P. Lapangan (Field R.)

4. Berdasarkan Pemakaiannya
a. P. Murni (Pure R. or Basic R.)
b. P. Terapan (Applied R.)

5. Berdasarkan Tujuan Umumnya
a. P. Eksploratif (Explorative R.)
b. P. Pengembangan (Developmental R.)
c. P. verifikatif (Verificative R.)

6. Berdasarkan Tarafnya
a. P. Deskriptif (Descriptive R.)
b. P. Analitik    (Analytic R.)

7. Berdasarkan Metode dan Pendekatan Sumber
a. P. Longitudinal(Longitudinal R.)
b. P. penampang-silang (Cross-sectional R.)

8. Menurut Pembentukan Ilmu
a. P. Induktif (Inductive R.)
b. P. Deduktif (Deductive R.)

9. Menurut Paradigma Keilmuan
a. P. Positivisme (Positivism R.)
b. P. Rasionalisme (Rationalism R.)
c. P. Fenomenologi (Phenomenology R.)

10. Menurut Strategi dan jenis data
a. P. Opini (Opinion R.)
b. P. Empiris (Emphirical R.)
c. P. Kearsipan (Archival R.)
d. P. Analitis (Analytical R.)

11. Menurut Sumbernya
a. P.Historis (Historical R.)
b. P.Deskriptif  (Descriptive R.)
c. P.Perkembangan (Developmental R.)
d. S.Kasus/Lapangan (Field/Case S.)
e. P.Korelasional (Correlational R.)
f. P.Eksperimental sungguhan Real Experimental R.)
g. P.Eksperimental semu (Quasi Experimental R.)
h. P.Kausal-komparatif (Causal Comprative R.)
i. P.Tindakan (Action R.)

12. Berdasarkan Karakteristik Masalah
a. P. Historis (Historical R.)
b. P. Desktriptif  (Descriptive R.)
c. Studi kasus lapangan (Field/Case S.)
d. P.Korelasional (Correlational R.)
e. P.Kausal-komparatif (Causal Comparative R.)
f. P.Eksperimen (Experimental R.)

13. Menurut Tingkat Eksplanasi
a. P. Deskriptif (Descriptive R.)
b. P. Komparatif(Comparative R.)
c. P. Asosiatif (Associative R.)

14. Menurut Caranya
a.P. Operasional (Operational R.)
b.P. Tindakan (Action R.)
c.P. Eksperimen (Experimental R.)

15. Menurut Metodenya
a. P. Survei (Survey R.)
b. P. Eksperimen (Experimental R.)
c. P. Expose Facto
d. P. Naturalistik/Alamiah
e. P. Tindakan (Action R.)
f. P. Evaluasi (Evaluation R.)
g. P. Kebijakan (Judisficational R.)
h. P. Sejarah (Historical R.)

16. Menurut Saat Terjadi Variabel   
a. P. Historis (Historical R.)
b. P. Ekspos Facto (Expose Facto R.)
c. P. Eksperimen (Experimental R.)

17. Menurut Manfaat Penelitian
a. P. Dasar/ Murni (Basic/Pure R.)
b. P. Terapan (Applied R.)
   (1) P. Tindakan (Action R.)
   (2) P. Evaluatif (Evaluative R.)
   (3) P. Formatif (Formative R.)
   (4) P. Sumatif (Summative R.)

18. Waktu Penelitian
a. P. Cross Sectional
b. P. Longitudinal/Time Series
   (1). Panel S.
   (2). Time Series
   (3) Cohort S.

19. Teknik Pengumpulan Data
a. Data Kuantitatif (Quantitative R.)
   (1) P. Eksperimen (Experimental R.)
   (2) P. Survei (Survey R.)
   (3) P. Analisis isi (Content analisis R.)
   (4) P. Existing statistic
b. Data Kualitatif (Qualitative R.)
   (1). P. Lapangan (field research)
   (2). P. Sejarah (Historical R.)

(Dikutip dan disimpulkan dari beragam sumber literatur)

Demikianlah pembahasan kita kali ini. Semoga bermanfaat. Amien.

Kamis, 29 Agustus 2013

Advantages and Disadvantages of Experimental Research in Education

                                    Advantages and Disadvantages 
                            of Experimental Research in Education



 

Written by Daniel Muijs in Doing Quantitative Research in Education with SPSS. 2004. London. SAGE Publications Ltd. pp 22-26.


I. Advantages
One of the things we are often trying to do in quantitative research is determine what causes what – what is cause and what is effect. Often when talking about the results of research, the term ‘cause’ is used both frequently and loosely, e.g. ‘an overly academic curriculum is a cause of pupil disaffection’.Many studies want to determine causes, and policy frequently wants to address causes of perceived problems (e.g. ‘the causes of crime’).

In experimental studies the researcher is manipulating the treatment so we can be certain of the time sequence. Likewise, the problem of extraneous variables causing a relationship is less strong in experimental research than in any other type of research because the experimenter can control the environment and ensure that as few extraneous factors are involved as possible, as we saw in the section on how to design experiments.

Does this mean that when we do an experiment and find a significant result, we can be certain of cause and effect? This is clearly not the case, for the following reasons:

1. Results from a single experiment may be due to chance. Only if research is replicated, i.e. the findings are repeated in different studies using different participants, preferably in slightly different settings, can we be certain of this.
2. It is always possible that findings are caused by an extraneous factor that we haven’t thought of when setting up our experiment.
3. We are creating an artificial situation. Therefore the question remains: do these effects occur in real-life
situations?

II. Disadvantages
 This leads us to some of the weaknesses of the experimental approach. The laboratory set-up is always an artificial one, and the correspondence to real-life situations can be questionable. How applicable are the results of experiments to real-life educational situations? Here, the control that is an advantage of the experimental method becomes a disadvantage.

In everyday settings, any causal effect found in an experimental setting is likely to be influenced by a whole load of contextual factors and influences which will tend to make the relationship far less predictable than in a laboratory setting.

Remember, for example, the study on the effect of violent video games  While in an experimental study we may find an effect of watching these videos on children’s behaviour, it is rare that children will be in a situation in which the video will be the only influence on their behaviour. When they are actually playing at school, for example, interactions with peers, school rules, weather, etc. will all influence their behaviour as well.

If we look at the other example about presentation of material in animated form, we would have to question whether this effect really matters in practice, or if it is so small that it makes no real difference to learning in classroom situations compared to other factors (such as teacher interactions).

Transferability is clearly an issue in educational experimental research.Another problem with experimental research is that it can be difficult to put into practice in educational settings. Consider, for example, the issue of evaluating educational programmes and initiatives. We might want to do this using an experimental design because we want to see whether he intervention has caused an improvement in the school. We might want to develop an intervention to improve the reading performance of pupils and would involve randomly assigning pupils to the treatment and control groups in the school in which the experiment is taking place.

This is often problematic in practice. Teachers and parents will be unlikely to be overly keen on this type of design, and there are obvious ethical issues in allowing one group of pupils to receive an intervention that we think/hope is effective while other pupils do not receive this intervention.

In practical terms, realigning timetables etc. to facilitate the experimental design is also difficult. The difficulties are even larger when one is doing an experiment in a number of schools.A further problem occurs when we are implementing an intervention that is specifically designed to take place in a classroom, such as a new teaching method. Obviously, there would

be problems in trying to randomly allocate pupils to teachers who did and did not implement the intervention. As in the example above, this would be disruptive to the school, and lead to possible ethical issues as well as potentially to complaints from parents. Another major problem would be the lack of control over the environment.

In a classroom situation, there is a whole variety of other influences that may affect outcomes, making it difficult to ascribe effects to the intervention. The teachers may be differentially effective, peers may influence each other, and so on. However, taking the intervention out of the classroom and putting it in the laboratory might make the results suspect with regards to transferability. If an intervention is supposed to work in the classroom, testing it in an artificial laboratory environment often would not seem sensible. Because of these problems, educational interventions in schools are typically evaluated using quasi-experimental designs.

Sabtu, 01 Juni 2013

Basic Research Design

             Basic Research Design

 Written by Nicholas Walliman in Research Methods: The Basics. 2011. New York. Routledge

There are numerous types of research design that are appropriate for the different types of research projects. The choice of which design to apply depends on the nature of the problems posed by the research aims. Each type of research design has a range of research methods that are commonly used to collect and analyse the type of data that is generated by the investigations. Here is a list of some of the more common research designs, with a short explanation of the characteristics of each.

1. HISTORICAL

This aims at a systematic and objective evaluation and synthesis of evidence in order to establish facts and draw conclusions about past events. It uses primary historical data, such as archaeological remains as well as documentary sources of the past. It is usually necessary to carry out tests in order to check the authenticity of these sources.

Apart from informing us about what happened in previous times and re-evaluating beliefs about the past, historical research can be used to find contemporary solutions based on the past and to inform present and future trends. It stresses the importance of interactions and their effects.

2. DESCRIPTIVE
This design relies on observation as a means of collecting data. It attempts to examine situations in order to establish what is the norm,i.e. what can be predicted to happen again under the same circumstances. ‘Observation’ can take many forms. Depending on the type of information sought, people can be interviewed, questionnaires distributed, visual records made, even sounds and smells recorded. Important is that the observations are written down or recorded in some way, in order that they can be subsequently analysed. The scale of the research is influenced by two major factors: the level of complexity of the survey and the scope or extent of the survey.

3. CORRELATION
This design is used to examine a relationship between two concepts.There are two broad classifications of relational statements: an association between two concepts – where there is some kind of influence of one on the other; and a causal relationship – where one causes changes to occur in the other. Causal statements describe what is sometimes called a ‘cause and effect’ relationship. The cause is referred to as the ‘independent variable’, the variable that is affected is referred to as the ‘dependent variable’.

The correlation between two concepts can either be none (no correlation);positive (where an increase in one results in the increase in the other, or decrease results in a decrease); or negative (where the increase in one results in the decrease in the other or vice versa). The degree of association is often measurable.

4. COMPARATIVE
This design is used to compare past and present or different parallel situations,particularly when the researcher has no control over events. It can look at situations at different scales, macro (international, national) or micro (community, individual). Analogy is used to identify similarities in order to predict results – assuming that if two events are similar in certain characteristics, they could well be similar in others too.

In this way comparative design is used to explore and test what conditions were necessary to cause certain events, so that it is possible, for example, to understand the likely effects of making certain decisions.

5. EXPERIMENTAL
Experimental research attempts to isolate and control every relevant condition which determines the events investigated and then observes the effects when the conditions are manipulated. At its simplest,changes are made to an independent variable and the effects are observed on a dependent variable – i.e. cause and effect. Although experiments can be done to explore a particular event, they usually require a hypothesis (prediction) to be formulated first in order to determine what variables are to be tested and how they can be controlled and measured. There are several classes of experiment – pre,true, quasi, etc. which are characterized by the amount of checking and control involved in the methods.

6. SIMULATION
Simulation involves devising a representation in a small and simplified form (model) of a system, which can be manipulated to gauge effects. It is similar to experimental design in the respect of this manipulation, but it provides a more artificial environment in that it does work with original materials at the same scale. Models can be mathematical (number crunching in a computer) or physical, working with two- or three-dimensional materials. The performance of the model must be checked and calibrated against the real system to check that the results are reliable. Simulation enables theoretical situations to be tested – what if?

7. EVALUATION
This descriptive type of research is specifically designed to deal with complex social issues. It aims to move beyond ‘just getting the facts’,by trying to make sense of the myriad human, political, social, cultural and contextual elements involved. There are a range of different approaches of evaluation models, for example, systems analysis – which is a holistic type of research looking at the complex interplay of many variables; and responsive evaluation – which entails a series of investigative steps to evaluate how responsive a programme is to all those taking part in it. A common purpose of evaluation research is to examine the working of projects from the point of view of levels of awareness, costs and benefits, cost-effectiveness, attainment of objectives and quality assurance. The results are generally used to prescribe changes to improve and develop the situation.

8. ACTION
Essentially, this is an ‘on the spot’ procedure, principally designed to deal with a specific problem found in a particular situation. There is no attempt made to separate the problem from its context in order to study it in isolation. What are thought to be useful changes are made and then constant monitoring and evaluation are carried out to see the effects of the changes. The conclusions from the findings are applied immediately, and further monitored to gauge their effectiveness.

Action research depends mainly on observation and behavioural data. Because it is so bound up in a particular situation, it is difficult to generalize the results, i.e. to be confident that the action will be successful in another context.

9. ETHNOLOGICAL

Ethnological research focuses on people. In this approach, the researcher is interested in how the subjects of the research interpret their own behaviour rather than imposing a theory from outside. It takes place in the undisturbed natural settings of the subjects’ environment. It regards the context to be as equally important as the actions it studies,and attempts to represent the totality of the social, cultural and economic situation. This is not easy as much of culture is hidden and rarely made explicit and the cultural background and assumptions of the researcher may unduly influence the interpretations and descriptions. Moreover there can be confusions produced by the use of language and the different meanings which may be given to words by the respondents and researcher.

10. CULTURAL
Many of the prevailing theoretical debates (e.g. postmodernism, poststructuralism etc.) are concerned with the subjects of language and cultural interpretation. Cultural research provides methodologies that allow a consistent analysis of cultural texts so that they can be compared, replicated, disproved and generalized. Examples of approaches to the interpretation of cultural texts are: content analysis, semiotics and discourse analysis. The meaning of the term ‘cultural texts’ has been broadened from that of purely literary works to that of the many different forms of communication, both formal such as opera, TV news programmes, cocktail parties etc., and informal such as how people dress or converse.

Senin, 06 Mei 2013

Jenis-jenis Desain Ekperimental

Jenis-jenis Desain Ekperimental
                                Written by Ari Julianto


Posting kali ini saya ingin membahas tentang beragam desain penelitian eksperiemntal. Ditinjau berdasarkan tingkat pengendalian variable, desain penelitian eksperimental dapat dibedakan menjadi tiga, yaitu :
a. Desain penelitian pra-eksperimental(Pre-experiment),
b. desain penelitian eksperimental semu (Quasy Experiment), dan
c. desain penelitian eksperimental sungguhan (tTrue Experiment).



1.Desain penelitian pra-eksperimental (Pre-experiment)
Desain penelitian pra-eksperimental ada tiga jenis yaitu
1) one-shot case study, 2) one-group pre-post tes design, dan 3) static group design menurut Suryabrata (2000 : 55), Fraenkel dan Wallen (2008: 265).

a. One-shot case study
Prosedur desain penelitian one-shot case study adalah sebagai berikut. Sekolompok subjek dikenai perlakuan tertentu (sebagai variable bebas) kemudian dilakukan pengukuran terhadap variable bebas. Desain penelitian ini secara visual seperti berikut

SUBJECT        PRE        TREATMENT       POST
1 GROUP           -                 X                       0

b. One group pretest-posttes design
Prosedur desain penelitian ini adalah : a) dilakukan pengukuran variable tergantung dari satu kelompok subjek (pretest), b) subjek diberi perlakuan untuk jangka waktu tertentu (exposure), c) dilakukan pengukuran ke-2 (posttest) terhadap variable bebas, dan d) hasil pengukuran prestest dibandingan dengan hasil pengukuran posttes. Prosedur one group pretest-posttes design dapat digambarkan seperti berikut

SUBJECT         PRE       TREATMENT      POST
1 GROUP           0                    X                   0

c. Static Group Comparison
Desain ketiga adalah static group comparison yang merupakan modifikasi dari desain b. Dalam desain ini terdapat dua kelompok yang dipilih sebagai objek penelitian. Kelompok pertama mendapatkan perlakuan sedang kelompok kedua tidak mendapat perlakuan. Kelompok kedua ini berfungsi sebagai kelompok pembanding / pengontrol. Desainnya adalah sebagai berikut

SUBJECT                 PRE         TREATMENT     POST
EXPERIMENTAL       0                    X                   0
CONTTROL              -                      -                   0

2. Desain penelitian eksperimen semu (quasy-experiment)
Desain penelitian eksperimen semu berupaya mengungkap hubungan sebab akibat dengan cara melibatkan kelompok kontrol dan kelompok ekperimen tetapi pemilihan kedua kelompok tersebut tidak dilakukan secara acak (Nursalam, 2003 : 89). Kedua kelompok tersebut ada secara alami. Desain penelitian jenis ini dapat digambarkan sebagai berikut

SUBJECT              PRE       TREATMENT      POST
EXPERIMENTAL    0                  X                    0
CONTTROL            0                 -                      0

3. Desain eksperimen sungguhan (true-experiment)
Desain ini memiliki karakteristik dilibatkannya kelompok control dan kelompok eksperimen yang ditentukan secara acak. Ada tiga jenis desain penelitian yang termasuk desain eksperimental sungguhan , yaitu :
1) pasca-tes dengan kelompok eksperimen dan control yang diacak,
2) pra-tes dan pasca-tes dengan kelompok eksperimen dan kontrol yang diacak, dan
3) gabungan desain pertama dan kedua.

(1) Pasca-tes dengan pemilihan kelompok secara acak
Pada rancangan ini kelompok eksperimen diberi perlakuan sedangkan kelompok control tidak. Pengukuran hanya diberikan satu kali yaitu setelah perlakuan diberikan kepada kelompok eksperimen. Desaian ini dapat digambarkan sebagai berikut.

SUBJECT               PRE       TREATMENT     POST
EXPERIMENTAL     -                    X                   0
CONTTROL             -                   -                     0

(2) Pra dan pasca tes dengan pemilihan kelompok secara acak
Dalam rancangan ini ada dua kelompok yang dipilih secara acak. Kelompok pertama diberi perlakuan (kel. Ekperimen) dan kelopok kedua tidak diberi perlakuan (kel. Control). Observasi atau pengkukuran dilakukan untuk kedua kelompok baik sebelum maupun sesudah pemberian perlakuan. Desain ini dapat digambarkan berikut ini.

SUBJECT              PRE       TREATMENT      POST
EXPERIMENTAL     0                  X                    0
CONTTROL            0                   -                    0

(3) Desain Solomon
Desain yang merupakan penggabungan dari desain 1) dan desain 2) disebut desain Solomon atau Randomized Solomon Four-Group Design. Ada empat kelompok yang dilibatkan dalam penelitian ini : dua kelompok kontrol dan dua kelompok eksperimen. Pada satu pasangan kelompok eskperimen dan kontrol diawali dengan pra-tes, sedangkan pada pasangan yang lain tidak. Gambar dari desain Solomon adalah sebagai berikut.

SUBJECT                 PRE       TREATMENT          POST
EXPERIMENTAL1     -                  X                         0
CONTTROL1             -                  -                          0
EXPERIMENTAL2     0                 X                         0
CONTTROL2            0                  -                          0

Referensi
Suryabrata, Sumadi. 2000. Metodologi Penelitian. Jakarta : PT Raja Grafindo Persada.

Fraenkel, Jack R. and Norman E. Wallen. 2008. How to Design and Evaluate Research in Education. New York: McGraw-Hill.

Demikianlah pembahasan kali ini. Semoga bermanfaat bagi kita semua. Amin.

Rabu, 17 April 2013

Types of Action Research

            Types of Action Research

Written by Ari Julianto

There are different types of action research that depend upon the participants involved. A plan of research can involve a single teacher investigating an issue in his or her classroom, a group of teachers working on a common problem, or a team of teachers and others focusing on a school- or district-wide issue.

1. Individual teacher research
This type usually focuses on a single issue in the classroom. The teacher may be seeking solutions to problems of classroom management, instructional strategies, use of materials, or student learning. Teachers may have support of their supervisor or principal, an instructor for a course they are taking, or parents. The problem is one that the teacher believes is evident in his or her classroom and one that can be addressed on an individual basis. The research may then be such that the teacher collects data or may involve looking at student participation. One of the drawbacks of individual research is that it may not be shared with others unless the teacher chooses to present findings at a faculty meeting, make a formal presentation at a conference, or submit written material to a listserv, journal, or newsletter. It is possible for several teachers to be working concurrently on the same problem with no knowledge of the work of others.
Focus: Single classroom issue
Possible support needed: Coach/mentor; Access to technology; Assistance with data organization and analysis
Potential impact: Curriculum; Instruction; Assessment
Side effects: Practice informed by data; Information not always shared

2. Collaborative action research
This type may include as few as two teachers or a group of several teachers and others interested in addressing a classroom or department issue. This issue may involve one classroom or a common problem shared by many classrooms. These teachers may be supported by individuals outside of the school, such as a university or community partner. The LAB at Brown has just such a relationship with several teams.
Focus: Single classroom or several classrooms with common issue
Possible support needed:Substitute teachers; Release time; Close link with administrators
Potential impact: Curriculum; Instruction; Assessment; Policy
Side effects: Improved collegiality; Formation of partnerships

3. School-wide research
This type focuses on issues common to all. For example, a school may have a concern about the lack of parental involvement in activities, and is looking for a way to reach more parents to involve them in meaningful ways.Or, the school may be looking to address its organizational and decision-making structures. Teams of staff from the school work together to narrow the question, gather and analyze the data, and decide on a plan of action. An example of action research for a school could be to examine their state test scores to identify areas that need improvement, and then determine a plan of action to improve student performance.
Focus: School issue, problem, or area of collective interest
Possible support needed: School commitment; Leadership; Communication; External partners
Potential impact: Potential to impact school restructuring and change; Policy; Parent involvement; Evaluation of programs
Side effects: Improved collegiality;collaboration,and communication;Team building; Disagreements on process

4. District-wide research
This type is far more complex and utilizes more resources, but the rewards can be great. Issues can be organizational, community-based, performance-based, or processes for decision-making. A district may choose to address a problem common to several schools or one of organizational management. Downsides are the documentation requirements (communication) to keep everyone in the loop, and the ability to keep the process in motion. Collecting data from all participants needs a commitment from staff to do their fair share and to meet agreed-upon deadlines for assignments. On the positive side, real school reform and change can take hold based on a common understanding through inquiry. The involvement of multiple constituent groups can lend energy to the process and create an environment of genuine stakeholders.
Focus: District issue; Organizational structures
Possible support needed: District commitment; Facilitator; Recorder; Communication; External partners
Potential impact: Allocation of resources; Professional development activities; Organizational structures; Policy
Side effects: Improved collegiality, collaboration,and communication; Team building; Disagreements on process;Shared vision.

(Taken from various sources)
Hope today's posting will be useful for all of us. Amien.

Sabtu, 16 Februari 2013

Penelitian Pengembangan/Development Research (2)

    Penelitian Pengembangan/Development Research 
                                              (2)
                                                  Written by Ari Julianto




B. Ciri Utama Penelitian dan Pengembangan
Borg and Gall (1983) menjelaskan empat ciri utama dalampenelitian dan pengembangan, yaitu:
1. Studying research findings pertinent to the product to be develop,
2. Developing the product base on this findings.
3. Field testing it in the setting where it will be used eventually,
4. Revising it to correct the deficiencies found in the field-testing stage.

Dari empat ciri utama R & D tersebut, memberikan gambaran bahwa ciri utama R & D adalah adanya langkah-langkah penelitian awal tekait dengan produk yang akan dikembangkan. Berdasarkan hasil penelitian tersebut kemudian produk pendidikan dirancang dan dikembangkan untuk kemudian diuji dan diperbaiki/direvisi.

C.Komponen Utama Penelitian Pengembangan (DR)Menurut Tim Puslitjaknov (2008), metode penelitian pengembangan memuat 3 komponen utama yaitu:
(1) Model pengembangan,
(2) Prosedur pengembangan,dan
(3) Uji coba produk.

D.Langkah-Langkah Penelitian dan Pengembangan (R & D)Ada beberapa model penelitian pengembangan dalam bidang pendidikan. Disini hanya dikemukakan model Sugiyono dan model Borg and Gall.

1. Model SugiyonoMenurut Sugiyono (2011), langkah-langkah penelitian dan pengembangan ada sepuluh langkah antara lain
(1) Potensi dan masalah,
(2) Pengumpulan data,
(3) Desain produk,
(4) Validasi desain,
(5) Revisi desain,
(6) Ujicoba produk,
(7) Revisi produk,
(8) Ujicoba pemakaian,
(9) Revisi produk, dan
(10) Produksi missal.

2. Model Borg and Gall
Menurut Borg dan Gall (1989), pendekatan R & D dalam pendidikan meliputi sepuluh langkah.
1. Research and Information Collecting,
2. Planning,
3. Develop Preliminary of Product
4. Preliminary Field Testing,
5. Main Product Revision,
6. Main Field Test,
7. Operational Product Revision,
8. Operational Field Testing,
9. Final Product Revision,
10. Dissemination and Implementation.

Demikianlah pembahasan kali ini. Semoga bermanfaat. Amin.

Referensi
Borg, Walter R., & Gall, M.D. 1983. Educational research: An introduction. New York & London: Longman.

Sugiyono. (2011). Metode Penelitian Kuantitatif, Kualitatif, dan R & D. Bandung: Alfabeta.

Tim Puslitjaknov. 2008. Metode Penelitian Pengembangan. Jakarta: Departemen Pendidikan Nasional

Penelitian Pengembangan/Development Research (1)

    Penelitian Pengembangan/Development Research 
                                                     (1)
                                                             Written by Ari Julianto




A.Definisi Penelitian Pengembangan
Pada awalnya, metode penelitian dan pengembangan atau research and development (R & D) mulai diterapkan pada dunia industri. Sedangkan dalam bidang sosial dan pendidikan, peranan research and development masih sangat kecil dan kurang dari 1% dari biaya pendidikan secara keseluruhan. Hal ini dianggap sebagai salah satu alasan utama mengapa kemajuan dalam bidang pendidikan agak tertinggal jika dibandingkan dengan bidang lain.

Seperti yang dikemukakan oleh Borg and Gall (1983), Unfortunately, R & D still plays a minor role in education. Less than one percent of education expenditures are for this purpose. This is probably one of the main reasons why progress in education has logged for behind progress in other field.
Penelitian  dan pengembangan (R & D) adalah proses yang digunakan untuk mengembangkan dan memvalidasi produk pendidikan. Langkah-langkah dari proses ini biasanya disebut sebagai siklus R & D, yang terdiri dari mempelajari temuan penelitian yang berkaitan dengan produk yang akan dikembangkan, mengembangkan produk berdasarkan temuan ini, bidang pengujian dalam pengaturan di mana ia akan digunakan akhirnya , dan merevisinya untuk memperbaiki kekurangan yang ditemukan dalam tahap mengajukan pengujian.

Dalam program yang lebih ketat dari R & D, siklus ini diulang sampai bidang-data uji menunjukkan bahwa produk tersebut memenuhi tujuan perilaku didefinisikan Seels dan Richey (1994) mendefinisikan penelitian pengembangan sebagai suatu pengkajian sistematik terhadap pendesainan, pengembangan dan evaluasi program, proses dan produk pembelajaran yang harus memenuhi kriteria validitas, kepraktisan, dan efektifitas.

Dalam praktiknya, ada beberapa versi penelitian dan pengembangan sesuai dengan para ahli masing-masing. Selain metode penelitian dan pengembangan atau Research and Development (R & D), dikenal juga metode penelitian pengembangan atau Development Research (DR) yang hampir sama tetapi ada perbedaan. Oleh karena itu, diperlukan pengetahuan yang memadai tentang kedua jenis metode penelitian tersebut agar dapat melaksanakan penelitian dengan baik.

Akker (1999) mendeskripsikan penelitian pengembangan berdasarkan dua tujuan yakni Pengembangan prototipe produk Perumusan saran-saran metodologis untuk pendesainan dan evaluasi prototipe produk tersebut. Sedangkan Richey dan Nelson (2004) membedakan penelitian pengembangan atas dua tipe sebagai berikut.

1. Difokuskan pada pendesainan dan evaluasi atas produk atau program tertentu dengan tujuan untuk mendapatkan gambaran tentang proses pengembangan serta mempelajari kondisi yang mendukung bagi implementasi program tersebut.
2. Dipusatkan pada pengkajian terhadap program pengembangan yang dilakukan sebelumnya. Tujuan tipe kedua ini adalah untuk memperoleh gambaran tentang prosedur pendesainan dan evaluasi yang efektif.

Berdasarkan pendapat-pendapat diatas, maka dapat disimpulkan bahwa penelitian pengembangan adalah suatu proses yang digunakan untuk mengembangkan dan memvalidasi produk-produk yang digunakan dalam pendidikan. Produk yang dihasilkan antara lain: bahan pelatihan untuk guru, materi belajar, media, soal, dan sistem pengelolaan dalam pembelajaran.

Demikianlah pembahasan kali ini. Semoga bermanfaat. Amin.

Referensi
Borg, Walter R., & Gall, M.D. 1983. Educational research: An Introduction. New York & London: Longman.

Richey, R.C., Klein, J., & Nelson, W. 2004. Developmental research: Studies of instructional design and development. In D. Jonassen (Ed.) Handbook of Research for Educational Communications and Technology. Mahwah,NJ: Lawrence Erlbaum Associates, Inc.

Seels, B.B., & Richey, R.C. 1994. Instructional technology: The definition and domains of the field. Washington, DC: Association for Educational Communications and Technology.

van den Akker, J. (1999). Principles and methods of development research. In J. van den Akker, R. Branch, K. Gustafson, N. Nieveen, & T. Plomp (Eds.), Design approaches and tools in education and training. Dordrecht: Kluwer Academic Publishers.

Tim Puslitjaknov. 2008. Metode Penelitian Pengembangan. Jakarta: Departemen Pendidikan Nasional

Selasa, 20 November 2012

Experimental Research

                   Experimental Research 
                              Written by Ari Julianto

     Today posting discusses about experimental research. Experimental Research is also called Empirical Research or Cause and Effect Method. The experimental method in educational research is the application and adaptation of the classical method of experimentation.
      It is a scientifically sophisticated method. It provides a  method of investigation to derive basic relationships among phenomena under controlled condition or, more simply, to identify the conditions underlying the occurrence of a given phenomenon. Experimental research is the description and analysis of what will be, or what will occur, under carefully controlled conditions.
      Experimenters manipulate certain stimuli, treatments, or environmental conditions and observe how the condition or behaviour of the subject is affected or changed. Such manipulations are deliberate and systematic. The researchers must be aware of other factors that could influence the outcome and remove or control them in such a way that it will establish a logical association between manipulated factors and observed factors.
      Experimental research provides a method of hypothesis testing. Hypothesis is the heart of experimental research. After the experimenter defines a problem he has to propose a tentative answer to the problem or hypothesis. Further, he has to test the hypothesis and confirm or disconfirm it.
      There are four essential characteristics of experimental research: (a) Control, (b) Manipulation, (c) Observation, and (d) Replication.

a. Control : Variables that are not of direct interest to the researcher, called extraneous variables, need to be controlled. Control refers to removing or minimizing the influence of such variables by several methods such as: randomization or random assignment of subjects to groups; matching subjects on extraneous variable(s) and then assigning subjects randomly to groups; making groups that are as homogenous as possible on extraneous variable.

b. Manipulation : Manipulation refers to a deliberate operation of the conditions by the researcher. In this process, a pre-determined set of conditions, called independent variable or experimental variable. It is also called treatment variable. Such variables are imposed on the subjects of experiment. In specific terms manipulation refers to deliberate operation of independent variable on the subjects of experimental group by the researcher to observe its effect. Sex, socio-economic status, intelligence, method of teaching, training or qualification of teacher, and classroom environment are the major independent variables in educational research.

c.Observation : In experimental research, the experimenter observes the effect of the manipulation of the independent variable on dependent variable. The dependent variable, for example, may be performance or achievement in a task.

d. Replication : Replication is a matter of conducting a number of sub-experiments, instead of one experiment only, within the framework of the same experimental design. The researcher may make a multiple comparison of a number of cases of the control group and a number of cases of the experimental group. In some experimental situations, a number of control and experimental groups, each consisting of equivalent subjects, are combined within a single experiment.

The following categories of experimental research designs are popular in educational research: 
a. Pre-experimental designs – They are least effective and provide little or no control of extraneous variables. 
b. True experimental designs – employ randomization to control the effects of variables such as history, maturation, testing, statistical regression, and mortality 
c. Quasi-experimental designs – provide less satisfactory degree of control and are used only when randomization is not feasible. 
d. Factorial designs- more than one independent variables can be manipulated simultaneously. Both independent and interaction effects of two or more than two factors can be studied with the help of this factorial design.

(Taken from various sources)

Senin, 19 November 2012

Correlational Research

                          Correlational Research

     Written by Ari Julianto

          Today posting discusses about correlational research. From the word correlation, we could understand the meaning of it. Most research falls into one of two categories: correlational and experimental.
      Understanding the differences between these two types of research is one of the major goals of any introductory research methods course.Correlational research tests for statistical relationships between variables.
      The researcher begins with the idea that there might be a relationship between two variables.  She or he then measures both variables for each of a large number of cases and checks to see if they are in fact related.  The relationship of interest could be either a D relationship or an R relationship, so this might involve making a bar graph and computing d or making a line graph or scatterplot and computingr.  It probably also involves null hypothesis testing to see if the observed relationship is statistically significant.
      Here the researcher focuses on naturally occurring patterns,measures specific variables, and generates statistics for clarification:
a. Focus on naturally occurring patterns: Complex real-world situations are the basis of the investigation. The idea is to clarify these through pattern-making,
b. Measurement of specific variables: the researcher simply measures the variables of interest and analyzes relations among them. These are always variables that can be measured and quantified in some way (the data is quantitative; as ‘solid’ as measurements or object counts, or more ‘abstract’, including people’s attitudes,meaning-making, or perceptions).

Two Types of Correlational Research:
a. Relationship: Here the specific focus is the predictive power of relationships between variables. Here the researcher knows what variable he/she wants to focus on, and then these are applied in some context to see how they relate. 
b. Causal-Comparative: this is an ‘intermediate’ position between the predictive orientation of relationship studies and the focus on causality  that characterizes experimental research. Here the purpose is to isolate factors that cause differences in variables between contexts. Here the first step is to identify a group of particular contexts. Variables are then selected as they seem to vary from context to context.

Data-gathering methods:
a. Survey questionnaire: This is perhaps the most frequently employed tool.It allows the researcher to cover an extensive amount of information across a large number of people in a limited amount of time. 
b. Observation: Direct or indirect. Indirect observation (videotape, time-lapse photography, etc.)
is useful in order to catch all the details). 
c. Mapping: The ways in which people map or draw particular data allows researchers to derive
personalized patterns. 
d. Sorting: This is a great method for generating a creative foundation to a project. Very useful
for establishing patterns between a client and a designer in a design project (it is a very effective
alternative to simply asking people to state their preferences). 
e. Archives: For inanimate objects or ‘removed’ individuals, researchers establish patterns from  archived information. 
f. Factor Analysis: Also for interval-ratio data. Instead of  using key variables to predict the outcomes of other variables, factor analysis aims to articulate an overall pattern. Variables that share similar patterns are grouped into clusters known as ‘factors’. 
g. Multidimensional Scaling: Useful for nominal or interval-ratio data. This process creates a graphic plot that locates relationships in a spatial manner (variables are plotted as points; points plotted in close proximity represent similar patterns, while distant points represent dissimilar patterns).

In short, Correlational research strategy seeks to clarify patterns of relationships between 2 or more variables.

Minggu, 18 November 2012

Contrastive Research

                   Contrastive Research
                                             Written by Ari Julianto




      Today, I would like to post one of the research types in which the contents I have arranged the best I could do. From the word contrast we could understand that we have to find out the difference and the similarities.
      Gast (2011) defines contrastive research as an analysis that  investigates the differences between pairs (or small sets) of languages against the background of similarities and with the purpose of providing input to applied disciplines such as foreign language teaching and translation studies.
      Contrastive studies mostly deal with the comparison of languages that are ‘socio-culturally linked’, i.e. languages whose speech communities overlap in some way, typically through (natural or instructed) bilingualism.
      The assumption that foreign language teaching can be improved by comparing the learner’s native language with the language to be learned came to be known as the “Contrastive Hypothesis”. Its main assumptions can be summarized as follows,Konig & Gast (2008):
• First language acquisition and foreign language learning differ fundamentally, especially in those cases where the foreign language is learnt later than a mother tongue and on the basis of the full mastery of that mother tongue.
• Every language has its own specific structure. Similarities between the two languages will cause no difficulties (‘positive transfer’), but differences will, due to ‘negative transfer’ (or ‘interference’). The student’s learning task can therefore roughly be defined as the sum of the differences between the two languages.
• A systematic comparison between mother tongue and foreign language to be learnt will reveal both similarities and contrasts.
• On the basis of such a comparison it will be possible to predict or even rank learning difficulties and to develop strategies (teaching materials, teaching techniques, etc.) for making foreign language teaching more efficient.

Establishing comparability
Just like linguistic typology, contrastive linguistics has to face the problem of “comparability of incommensurable systems”, Haspelmath (2008). In non-universalist frameworks (such as early structuralist linguistics and its modern successors), linguistic categories are only defined relative to the system that they form part of. Accordingly, the question arises whether categories from different linguistic systems can be compared at all, and if so, how such a comparison can be carried out. In  very general terms, comparison can be defined as the identification of similarities and differences between two or more categories along a specific (set of) dimension(s).
a. Comparison based on form: Consonant inventories
A phonological and morphophonological comparison of two languages is purely form-based insofar as it does not make reference to meaning or function. Specific aspects of phonological organization have figured prominently in (especially early) contrastive studies e.g. Lado (1957).
b. Comparison based on form and function: Temporal categories
Most parameters of comparison investigated in contrastive studies are not purely formal but concern the mapping between form and function. As is well known from typological studies, this mapping is typically (and perhaps universally) many-to-many, i.e. each ontological category can be expressed using various linguistic categories, and each linguistic category covers a certain range of functions.

c. Comparison across functional domains
As was shown in the previous section, the comparison of categories associated with specific functions (‘tense’) typically departs from an ontological category (‘temporal reference’). In specific cases several types of ontological categories (as well as their manifestations in different languages) can be described in terms of the same comparative concept. A relevant example is provided by the two phenomena of relative clause formation and Wh-question formation in English and German, Hawkins (1986).

Reference
Gast, Volker. 2011. Contrastive Linguistics: Theories and Methods.Haspelmath, 
Martin . 2008. Comparative concepts and descriptive categories in cross-linguistic studies. Ms.Oxford: Oxford University Press.
Hawkins, John (1986). A comparative typology of English and German. Unifying the contrasts. London: Croom Helm.
Konig, Ekkehard and Volker Gast (2008). Understanding English-German Contrasts. 2nd edition (revised). Berlin: Erich Schmidt Verlag.
Lado, Robert (1957). Linguistics across cultures: Applied linguistics for language teachers. Ann Arbor: University of Michigan Press.

Action Research

                         Action Research

                                                               
                                                             Written by Ari Julianto


      This time, I would like to discuss about the Action Research (Penelitian Tindakan). This research is the same as what I have posted in the title posting Penelitian Tindakan Kelas (TPK). Action research is one of those terms that we hear quite often in today’s educational circles. But just what does it mean? If you ask three people to define action research, you may find yourself with three different responses.
      Typically, action research is undertaken in a school setting. It is a reflective process that allows for inquiry and discussion as components of the “research.” Action research can inform teachers about their practice and empower them to take leadership roles in their local teaching contexts. Mills (2003) provides the following definition of  action research:
      Action research is any systematic inquiry conducted by teacher researchers to gather information about the ways that their particular school operates, how they teach, and how well their students learn. The information is gathered with the goals of gaining insight, developing reflective practice, effecting positive changes in the school environment and on educational practices in general, and improving student outcomes.
      Action research is conducted by teachers and for teachers. It is small scale, contextualized, localized, and aimed at discovering, developing, or monitoring changes to practice. The defining features of action research also reflect the qualities of leaders in collaborative cultures of change. These qualities include a deep understanding of the organization, vision and insight, a quest for new knowledge, a desire for improved performance, self-reflective activity, and a willingness to effect change, Fullan (2000a, 2000b). This Digest discusses a framework for conducting action research and describes an action research study carried out in an elementary school Spanish program.
      Action research is a process in which participants examine their own educational practice systematically and carefully, using the techniques of research, Ferrance (2000). Action research is the term which describes the integration of action (implementing a plan) with research (developing an understanding of the effectiveness of this implementation). The original concept is sometimes attributed to Kurt Lewin (1890–1947).
      Action research is characterised as being:- integrated conducted as part of a teacher’s normal daily practice
- reflective a process which alternates between plan implementation and critical reflection
- flexible methods, data and interpretation are refined in the light of the understanding gained during the research process
- active a process designed to generate change in small steps
- relevant meets the needs of teachers and/or their students
- cyclical involving a number of cycles with each clarifying issue leading to a deeper understanding and more meaningful outcomes
- focused on a single issue of school improvement
- collaborative teachers and leaders working together to improve student outcomes
- planned an organised approach to answering a question
- learning simultaneous construction of new knowledge by teachers about their practice.

Mertler (2008) stated that teachers use action research because:
1. it deals with their own problems, not someone else’s
2. it can start now—or whenever they are ready—providing immediate results
3. action research provides them with opportunities to better understand, and therefore improve, their educational practices
4. as a process, action research promotes the building of stronger relationships among staff
5. importantly, action research provides educators with alternative ways of viewing and approaching educational questions providing a new way of examining their own practices.

Types of Action Research
Ferrance (2000) stated that types of action research can be
a. Individual teacher research usually focuses on a single issue in the classroom. The teacher may be seeking solutions to problems of classroom management, instructional strategies, use of materials, or student learning. Teachers may have support of their supervisor or principal, an instructor for a course they are taking, or parents.
b. Collaborative action research may include as few as two teachers or a group of several teachers and others interested in addressing a classroom or department issue. This issue may involve one classroom or a common problem shared by many classrooms. 
c. School-wide research focuses on issues common to all. For example, a school may have a concern about the lack of parental involvement in activities, and is looking for a way to reach more parents to involve them in meaningful ways. Or, the school may be looking to address its organizational and decision-making structures. 
d. District-wide research is far more complex and utilizes more resources, but the rewards can be great. Issues can be organizational, community-based, performance-based, or processes for decision-making.

Steps in Action Research
Within all the definitions of action research, there are four basic themes: empowerment of participants, collaboration through participation, acquisition of knowledge, and social change. In conducting action research, we structure routines for continuous confrontation with data on the health of a school community. These routines are loosely guided by movement through five phases of inquiry:


1. Identification of problem area
There are several criteria to consider before investing the time and effort in “researching” a problem.
• be a higher-order question—not a yes/no
• be stated in common language, avoiding jargon
• be concise
• be meaningful
• not already have an answer 

2. Collection and organization of data
The collection of data is an important step in deciding what action needs to be taken. Multiple sources of data are used to better understand the scope of happenings in the classroom or school. There are many vehicles for collection of data:
interviews   portfolios   diaries   field notes   audio tapes   photos   memos   questionnaires   focus    groups   anecdotal records   checklists   journals   individual files   logs of meetings   videotapes   case studies   surveys   records – tests, report cards,   attendance   self-assessment   samples of student work,   projects, performances

3. Interpretation of data
Analyze and identify major themes.  Depending upon the question, teachers may wish to use classroom data, individual data, or subgroup data.  Some of the data are quantifiable and can be analyzed without the use of statistics or technical assistance. Other data, such as opinions, attitudes or checklists, may be summarized in table form. Data that are not quantifiable can be reviewed holistically and important elements or themes can be noted. 

4. Action based on data
Using the information from the data collection and review of current literature, design a plan of action that will allow you to make a change and to study that change. It is important that only one variable be altered. As with any experiment, if several changes are made at once, it will be difficult to determine which action is responsible for the outcome. While the new technique is being implemented, continue to document and collect data on performance. 

5. Reflection 
Assess the effects of the intervention to determine if improvement has occurred. If there is improvement, do the data clearly provide the supporting evidence? If no, what changes can be made to the actions to elicit better results?

References
Ferrance, Eileen. Action Research.New York: Northeast and Islands Regional Educational Laboratory At Brown University.

Fullan, M. (2000a). Change forces. The sequel. Philadelphia: Falmer Press.

Fullan, M. (2000b). Leadership for the twenty-first century: Breaking the bonds of dependency. In The Jossey-Bass reader on educational leadership (pp. 156-63). San Francisco: Jossey-Bass.

Mertler, C.A. & Charles, C.M., (2008) Introduction to education research, 6th Edition, Allyn & Bacon, Boston, Mass, page 308.

Mills, G. E. (2003). Action research: A guide for the teacher researcher. Upper Saddle River, NJ: Merrill/Prentice Hall.

Kamis, 08 November 2012

Educational Research (3)


Educational Research (3)


Written by T. Neville Postlethwaite, Institute of Comparative Education University of Hamburg from Educational Research: Some Basic Concepts and Terminology



4. Pilot testing
      At the pilot testing stage the instruments (tests, questionnaires,observation schedules, etc.) are administered to a sample of the kinds of individuals that will be required to respond in the final data collection. For example, school principals and/or teachers and/or students in a small number of schools in the target population.
      If the target population has been specified as, for example, Grade 5 in primary school, knowledge should exist in the Ministry, or in the inspectorate, about which schools are good, average, and poor schools in terms of educational achievement levels or in the general conditions of school buildings and facilities. A ‘judgement sample’of five to eight schools can then be drawn in order to represent a range of achievement levels and school conditions. It is in these schools that the pilot testing should be undertaken. The two main purposes of most pilot studies are:
a. To assess whether a questionnaire has been designed in a manner that will elicit the required information from the respondents. This process allows weaknesses in the questionnaire to be detected so that they can be removed before the final form is prepared. Typical weaknesses that are found in questionnaires include:
• Ambiguities in the phrasing of questions.
• Excessive complexity in the language that has been used.
• Inappropriate response categories for some questions.
• Some questions are redundant.
b. To assess whether test items can be understood by the students,that the items are pitched at the appropriate level of complexity (assessed by the ‘Difficulty Index’), provide a stable measure of student ability (assessed by the ‘Reliability Index’), and lead to the construction of total test scores that are meaningful in terms of the student ability being examined (assessed by the ‘Validity Index’).
Typical weaknesses that are found in tests include:
• Some items have either no correct answer or more than one correct answer.
• Some distractors in multiple choice items are not functioning.
• Some items measure abilities different from the ability measured by other items (assessed by the ‘Discrimination Index’).
• Some items contain internal ‘tricks’ that result in high ability students performing worse than low ability students.

5. Data collection
      When a probability sample of schools for the whole of the target population under consideration has been selected, and the instruments have been finalized, the next task is to arrange the logistics of the data collection. If a survey is being undertaken in a large country, this can require the mobilization of substantial resources and many people.
      The management of this research stage will depend on the existing infrastructure for data collection. In many countries there are regional planning officers and within each region there are district education officers. These people are often used for collecting data. However, the problem of transport can loom large, especially in situations where there is a shortage of transportation and spare parts, and where office vehicles are booked weeks in advance. In such countries, two to three months of careful prior planning will be required.
      The instructions for the completion of tests and questionnaires must be clear. When the testing of students is involved, it is important to have a special “Manual for Test Administration”. This manual explains how to arrange the testing room, and provides standard instructions that are given to the students about how to complete the test, questionnaire, or attitude statements, when to start and when to finish.
      Finally, instructions must be clear on how the data collection instruments are to be returned from the field. When data collection instruments are returned to the National Planning Office, checks must be undertaken to ensure that all instruments have the correct identification numbers.

5. Data analysis

      If there are unequal probabilities of selection for members of the sample, or if there is a small amount of (random) non-response,then the calculation of sampling weights has to be undertaken. For teacher and school data there are choices which can be made about weighting. For example, if one is conducting a survey and each student in the target population had the same probability of entering the sample, then the school weights can either be designed to reflect the probability of selecting a school, or school weights
can be made proportional to the weighted number of students in the sample in the school. In this latter case, the result for a school variable means the school value given is what the ‘average student’ experiences. This matter has been discussed in more detail in the module on ‘Sample Design’.
a. Descriptive
      Typically, the first step in the data analyses is to produce descriptive statistics separately for each variable. These statistics are often called univariates. Some variables are continuous – for example ‘size of school’ which can run from, say, 50 to 2,000. In this case the univariate statistics consist of a mean value for all schools, the standard deviation of the values, and a frequency distribution showing the number of schools of different sizes. Other variables are proportions or percentages. Such a variable could be the percentage of teachers with different types of teacher training.
      These descriptive statistics describe the characteristics of the students, teachers, and schools in the sample. If a good probability sample has been drawn, then generalizations (within narrow limits) can be made about the target population.Often comparisons between the Ministry norms and sample averages are made. For example, if the Ministry has stated that each student should have 1.25 square meters of space in the classroom,then this norm can be examined for each school by dividing the total number of square meters of classroom floor space in the school by the total enrolment of students in the school. This statistic may then be used to give direct feedback to the educational planners in charge of buildings about the extent to which their norms are being met.

b. Correlational
      In this case product moment correlations or cross tabulations can be calculated. There are statistical tests which can be applied to determine whether the association is more than would occur by chance. When the association between two variables is examined, this is known as bivariate’ analysis.
c. Causal
      If the research design used is an experimental one, then tests can be applied to see if the performance of the experimental group (that is,the group subjected to the new treatment) is better than the control group.
      There are statistical techniques for determining this. However, the use of this approach depends on the application of randomization in order to ensure that the two groups are ‘equivalent’ in all other respects. If the research design is based on a survey, then it is possible to calculate the influence of one variable on another with other variables being “held statistically constant”. Where calculations are
made of the relationships among more than two variables at the same time, this is known as ‘multivariate analysis’.

6. Research report

      There are three major types of research reports. The first is the Technical Report written in great detail and showing all of the research details. This is typically read by other researchers. It is this report that provides evidence that the research was conducted soundly. This is usually the report which is written first.
      The second report is for the senior policy makers in the Ministry of Education. It is in the form of an Executive Summary of about 5 or 6 pages. It reports the major findings succinctly and explains, in simple terms, the implications of the findings for future action and/or policy.
      The third General Report is usually in the form of a 50 to 100 page booklet and is written for interested members of the public,teachers, and university people. This report presents the results in an easily understood and digestible form.


Finish

Selasa, 06 November 2012

Educational Research (1 & 2)

Educational Research (1)

Written by T. Neville Postlethwaite, Institute of Comparative Education University of Hamburg. from Educational Research: Some Basic Concepts and Terminology. 



 I. Introduction
      Research is the orderly investigation of a subject matter for the purpose of adding to knowledge. Research can mean ‘re-search’ implying that the subject matter is already known but, for one reason or another, needs to be studied again.
      Alternatively, the expression can be used without a hyphen and in this case it typically means investigating a new problem or phenomenon. Within the realm of educational planning, many things are always changing: the structure of the education system, curriculum and textbooks, modes of teaching, methods of teacher training, the amount and type of provisions to schools such as science laboratories, textbooks, furniture, classroom supplies, and so on.
      These changes may lead to an improvement, or a worsening, in the quality of an educational system. Sometimes they may result in no impact upon quality - in which case major government expenditures on such changes have been wasted. The educational planner working within this kind of environment must be able to undertake assessments of the effects of major changes and then provide policy advice that will consolidate and extend the post productive courses of action, and also intercept and terminate existing practices that are shown to be damaging and wasteful.

II. Types of educational research
      There are many types of educational research studies and there are also a number of ways in which they may be classified. Studies may be classified according to topic whereby the particular phenomena being investigated are used to group the studies. Some examples of educational research topics are: teaching methods, school administration, classroom environment, school finance, etc. Studies may also be classified according to whether they are exploratory or confirmatory.
      An exploratory study is undertaken in  situations where there is a lack of theoretical understanding about the phenomena being investigated so that key variables, their relationships, and their (potential) causal linkages, are the subject of conjecture. In contrast a confirmatory study is employed when the researcher has generated a theoretical model (based on theory, previous research findings, or detailed observation) that needs to be tested through the gathering and analysis of field data.
      A more widely applied way of classifying educational research studies is to define the various types of research according to the kinds of information that they provide. Accordingly, educational research studies may be classified as follows:

1. Historical research generates descriptions, and sometimes attempted explanations, of conditions, situations, and events that have occurred in the past. For example, a study that documents the evolution of teacher training programs since the turn of the century, with the aim of explaining the historical origins of the content and processes of current programs.

2.Descriptive research provides information about conditions,situations, and events that occur in the present. For example, a survey of the physical condition of school buildings in order to establish a descriptive profile of the facilities that exist in a typical school.

3. Correlational research involves the search for relationships between variables through the use of various measures of statistical association. For example, an investigation of the relationship between teachers’ satisfaction with their job and various factors describing the provision and quality of teacher housing, salaries, leave entitlements, and the availability of classroom supplies.

4. Causal research aims to suggest causal linkages between variables by observing existing phenomena and then searching back through available data in order to try to identify plausible causal relationships. For example, a study of factors related to student ‘drop out’ from secondary school using data obtained from school records over the past decade.

5.Experimental research is used in settings where variables defining one or more ‘causes’ can be manipulated in a systematic fashion in order to discern ‘effects’ on other variables. For example, an investigation of the effectiveness of two new textbooks using random assignment of teachers and students to three groups - two groups for each of the new textbooks, and one group as a ‘control’ group to use the existing textbook.

6. Case study research generally refers to two distinct research approaches. The first consists of an in-depth study of a particular student, classroom, or school with the aim of producing a nuanced description of the pervading cultural setting that affects education, and an account of the interactions that take place between students and other relevant persons.
      For example, an in-depth exploration of the patterns of friendship between students in a single class. The second approach to Case Study Research involves the application of quantitative research methods to non-probability samples - which provide results that are not necessarily designed to be generalizable to wider populations. For example, a survey of the reading achievements of the students in one rural region of a particular country.

7. Ethnographic research usually consists of a description of events that occur within the life of a group - with particular reference to the interaction of individuals in the context of the sociocultural norms, rituals, and beliefs shared by the group. The researcher generally participates in some part of the normal life of the group and uses what he or she learns from this participation to understand the interactions between group members.
      For example, a detailed account of the daily tasks and interactions encountered by a school principal using observations gathered by a researcher who is placed in the position of ‘Principal’s Assistant’ in order to become fully involved in the daily life of the school.

8. Research and development research differs from the above types of research in that, rather than bringing new information to light, it focuses on the interaction between  research and the production and evaluation of a new product.
      This type of research can be ‘formative’ (by collecting evaluative information about the product while it is being developed with the aim of using such information to modify and improve the development process). For example, an investigation of teachers’ reactions to the various drafts and redrafts of a
new mathematics teaching kit, with the information gathered at each stage being used to improve each stage of the drafting process.
      Alternatively, it can be ‘summative’ (by evaluating the worth of the final product, especially in comparison to some other competing product). For example, a comparison of the mathematics achievement of students exposed to a new mathematics teaching kit in comparison with students exposed to the established mathematics curriculum.



Educational Research (2)
Written by T. Neville Postlethwaite, Institute of Comparative Education University of Hamburg from Educational Research: Some Basic Concepts and Terminology


III. Three Types of Research Questions in Educational Planning
In research on issues concerned with educational l planning, the main educational research questions can be subsumed under three categories: descriptive, correlational, and causal.

1. Descriptive questions
      In the field of educational planning, the research carried out on descriptive questions is often focused on comparing t he existing conditions of schooling with: (i) leg isolated benchmark standards,(ii) conditions operating in several other school systems, or (iii) conditions operating in several sectors of a single school system. Some examples are:
• What is the physical state of school buildings in the country?
• Do some districts or regions have better or worse school buildings than others? (Behind these two questions are the implications that the Ministry of Education  wishes to ensure that all schools have a minimum standard of school building while at the same time ensuring t hat there are not large differences among schools with respect to the state of their buildings.)
      What is the level of achievement in the core subject areas at a particular level of schooling? Does such achievement accord with the Ministry’s view of what should have been learned by all students or particular sub-groups of students? A further question is often raised about student achievement – is it better,worse, or the same as last year’s achievement for the particular grade group? And, again, are there differences between regions,or urban and rural children, and so on? (By the early 1990s there was a thrust from some systems of education – especially that of the United States of America – to have comparisons of achievement (at the same age level) of different national systems of education for countries at a similar level of economic development.)

2. Correlational questions
      Behind these kinds of questions, there is often an assumption that if an association is found between variables then it provides evidence of causation. However, care must be exercised when moving between the notions of association and causation. For example, an ‘association’ may be discovered between the incidence of classroom libraries and average class reading scores. However,the real ‘cause’ of higher reading scores may be that students from high socio-economic backgrounds, while they tend to be in classes with classroom libraries, read better than other students because their home environments (in terms of physical, emotional, and intellectual resources) facilitate the acquisition of reading skills.Some examples are:
• Do students in poorer school buildings have lower achievement scores than those in better buildings?
• Do students in better equipped classrooms have better achievement scores than those in less well-equipped classrooms? Do students in schools where the teachers have better teacher housing have higher achievement than students in schools where teachers have poorer teacher housing?

3. Causal questions
      Causal questions are usually the most important to educational planners. For example, in some schools it is considered normal for children to have a desk at which to sit. In other schools the children sit on the ground and write on their laps. It is important to know if schools (with a particular socio-economic background of children) with a shortage of desks and seats achieve less well than schools (with a similar socio-economic background of children) with an adequate supply of desks and chairs.
      Or, to put the question in a different way, is it the desks and chairs, or something else, which
really cause the better achievement? It may be a better supply of books or better qualified teachers or, or, or.... It is, therefore, important to disentangle the relative influence of each of the many input and process factors in schools on achievement. As will be seen from another module in this series on ‘Research Design’ both survey and experimental designs can be used to assess the relative influence of many factors on educational achievement.
      It is unusual in education to find only one factor influencing student educational achievement. It is rather the case that several, or even many, factors from outside and inside the school influence how well or poorly students achieve in school. Thus, causal questions take one of two forms. Some examples are:
• All other factors being equal do students with Textbook A achieve better than students with Textbook B? What is the relative effect on school achievement of the following factors:
• the socio-economic level of students in the school;
• the general parental help given to the children with their homework;
• peer group pressure;
• the condition of the school buildings;
• the supplies and equipment in the classroom;
• the curriculum;
• the quality of teaching, etc.

IV. Sequential Stages in The Research Process

      In order for the research to proceed in a focused and systematic manner, these questions must be refined to form more specific research questions that indicate exactly which target populations and which variables or factors should be included in the research study.

1. Literature review

      The review of literature aims to describe the ‘state of play’ in the area selected for study. That is, it should describe the point reached by the discipline of which the particular research study  will form
a part. An effective literature review is not merely a summary of research studies and their findings. Rather, it represents a ‘distillation’ of the essential issues and inter-relationships associated with the knowledge, arguments, and themes that have been explored in the area. Such literature reviews describe what has been written about the area, how this material has been received by other scholars, the major research findings across studies, and the major debates in terms of substantive and methodological issues.

2. Research design

      Given the specific research questions that have been posed,  a decision must be taken on whether to adopt an experimental design for the study or a survey design. Further, if a survey design is to be used, a decision must be taken on whether to use a longitudinal design, in which data are collected on a sample at different points of time, or a cross-sectional design, in which data are collected at a single point of time.
      Once the variables on which data are to be collected are known, the next questions are: Which data collection ‘units’ are to be employed? and Which techniques should be used to collect these data? That is, should the units be students, the teachers, the school principals, or the district education officers. And should data be collected by using observations, interviews, or questionnaires? Should data be collected from just a few hand-picked schools (case study), or a probability sample of schools and students (thus allowing inferences from the sample to the population), or a census in which all schools are included? For a case study, the sample is known as a ‘sample of convenience’ and only limited inferences can be made from such a sample.
      For research that aims to generalize its research findings, a more systematic approach to sample selection is required. Detailed information on the drawing of probability samples for both experimental and survey design is given in another module in this series entitled ‘Sample Design’.

3. Instrumentation
      Occasionally, data that are required to undertake a research study already exist in Ministry files, or in the data archives of research studies already undertaken, but this is rarely the case. Where data already exist, the analysis of them is known as “secondary data analysis”. But, usually, primary data have to be
collected. From the specific research questions established in the first step of a research study it is possible to determine the indicators and variables required in the research, and also the general nature of questionnaire and/or test items, etc. that are required to form these.
      Decisions must then be taken on the medium by which data owe to be collected (questionnaires, tests, scales, observations, and/or interviews). Once these decisions have been taken, the instrument construction can begin. This usually consists of the writing (or borrowing) of test items, attitude items, and questionnaire items. The items should be reviewed by experienced practitioners in order to ensure that they are unambiguous, and that they will elicit the required information. The broad issue of ‘Instrumentation’ (via both tests and questionnaires) has been taken up in more detail in several other modules in this series.

to be continued