Contents

List of figures

List of tables

List of boxes

List of contributors

Preface to the seventh edition

Acknowledgements

PART 1

The context of educational research

1      The nature of enquiry: setting the field

1.1      Introduction

1.2      The search for truth

1.3      Two conceptions of social reality

1.4      Positivism

1.5      The assumptions and nature of science

1.6      The tools of science

1.7      The scientific method

1.8      Criticisms of positivism and the scientific method

1.9      Alternatives to positivistic social science-naturalistic approaches

1.10    A question of terminology: the normative and interpretive paradigms

1.11    Phenomenology, ethnomethodology and symbolic interactionism

1.12    Criticisms of the naturalistic and interpretive approaches

1.13    Mixed methods research: a new paradigm?

1.14    Is mixed methods research a new paradigm?

1.15    A note on post-positivism, postmodernism and post-structuralism

1.16    The paradigm of complexity theory

2      Critical educational research

2.1      Critical theory and critical educational research

2.2      Criticisms of approaches from critical theory

2.3      Critical theory and curriculum research

2.4      Participatory research and critical theory

2.5      Feminist research

2.6      A note on post-colonial theory and queer theory

2.7      A summary of three major paradigms

3      Evaluation and the politics of educational research

3.1      Research and evaluation

3.2      Research, politics and policy making

4      The search for causation

4.1      Causes and conditions

4.2      Causal inference and probabilistic causation

4.3      Causation, explanation, prediction and correlation

4.4      Causal over-determination

4.5      The timing and scope of the cause and the effect

4.6      Causal direction, directness and indirectness

4.7      Establishing causation

4.8      The role of action narratives in causation

4.9      Researching causes and effects

4.10    Researching the effects of causes

4.11    Researching the causes of effects

4.12    Conclusion

PART 2

Planning educational research

5      The ethics of educational and social research

5.1      Introduction

5.2      Informed consent

5.3      Access and acceptance

5.4      The field of ethics

5.5      Sources of tension

5.6      Voices of experience

5.7      Ethical dilemmas

5.8      Privacy

5.9      Anonymity

5.10    Confidentiality

5.11    Against privacy, confidentiality and anonymity

5.12    Ethics in electronic research

5.13    Betrayal

5.14    Deception

5.15    Ethics and evaluative research

5.16    Research and regulation: ethical codes and review boards

5.17    Sponsored research

5.18    Responsibilities to the research community

5.19    Conclusion

6      Choosing a research project

6.1      Introduction

6.2      What gives rise to the research project?

6.3      The importance of the research

6.4      The purposes of the research

6.5      Ensuring that the research can be conducted

6.6      Considering research questions

6.7      Considering the scope of the literature review

6.8      Summary of key issues in choosing a research topic or project

7      Planning educational research

7.1      Introduction

7.2      Approaching research planning

7.3      A framework for planning research

7.4      Conducting and reporting a literature review

7.5      Searching for literature on the internet

7.6      Orienting decisions in planning research

7.7      Research design and methodology

7.8      How to operationalize research questions

7.9      Data analysis

7.10    Presenting and reporting the results

7.11    A planning matrix for research

7.12    Managing the planning of research

7.13    A worked example

7.14    Ensuring quality in the planning of research

8      Sampling

8.1      Introduction

8.2      The sample size

8.3      Sampling error

8.4      The representativeness of the sample

8.5      The access to the sample

8.6      The sampling strategy to be used

8.7      Probability samples

8.8      Non-probability samples

8.9      Sampling in qualitative research

8.10    Sampling in mixed methods research

8.11    Planning a sampling strategy

8.12    Conclusion

9      Sensitive educational research

9.1      Introduction

9.2      What is sensitive research?

9.3      Sampling and access

9.4      Ethical issues in sensitive research

9.5      Researching powerful people

9.6      Researching powerless and vulnerable people

9.7      Asking questions

9.8      Conclusion

10    Validity and reliability

10.1   Defining validity

10.2   Validity in quantitative research

10.3   Validity in qualitative research

10.4   Types of validity

10.5   Triangulation

10.6   Validity in mixed methods research

10.7   Ensuring validity

10.8   Reliability

10.9   Reliability in quantitative research

10.10  Reliability in qualitative research

10.11  Validity and reliability in interviews

10.12  Validity and reliability in experiments

10.13  Validity and reliability in questionnaires

10.14  Validity and reliability in observations

10.15  Validity and reliability in tests

10.16  Validity and reliability in life histories

PART 3

Styles of educational research

11     Naturalistic, qualitative and ethnographic research

11.1   Foundations of naturalistic, qualitative and ethnographic enquiry

11.2    Planning naturalistic, qualitative and ethnographic research

11.3    Features and stages of a qualitative study

11.4    Critical ethnography

11.5    Some problems with ethnographic and naturalistic approaches

12    Historical and documentary research in education

GARY   MCCULLOCH

12.1   Introduction

12.2   What is a document?

12.3   Primary documents

12.4   In the archive

12.5   Documentary analysis

12.6   Ethical and legal issues

12.7   Conclusions

13    Surveys, longitudinal, cross-sectional and trend studies

13.1   What is a survey?

13.2   Some preliminary considerations

13.3   Planning a survey

13.4   Low response and non-response, and how to reduce them

13.5   Survey sampling

13.6   Longitudinal, cross-sectional and trend studies

13.7   Strengths and weaknesses of longitudinal, cohort and cross-sectional studies

13.8   Postal, interview and telephone surveys

13.9   Internet-based surveys

13.10 Comparing methods of data collection in surveys

14    Case studies

14.1   What is a case study?

14.2   Generalization in case study

14.3   Reliability and validity in case studies

14.4   What makes a good case study researcher?

14.5   Examples of kinds of case study

14.6   Why participant observation?

14.7   Planning a case study

14.8   Data in case studies

14.9   Recording observations

14.10 Writing up a case study

14.11 Conclusion

15    Ex post facto research

15.1   Introduction

15.2   Co-relational and criterion groups designs

15.3   Characteristics of ex post facto research

15.4   Occasions when appropriate

15.5   Advantages and disadvantages of ex post facto research

15.6   Designing an ex post facto investigation

15.7   Procedures in ex post facto research

16    Experiments, quasi-experiments, single-case research and internet-based experiments

16.1   Introduction

16.2   Designs in educational experimentation

16.3   True experimental designs

16.4   A quasi-experimental design: the non-equivalent control group design

16.5   Single-case research: ABAB design

16.6   Procedures in conducting experimental research

16.7   Threats to internal and external validity in experiments

16.8   The timing of the pre-test and the post-test

16.9   Examples from educational research

16.10 The design experiment

16.11 Internet-based experiments

16.12 Conclusion

17    Meta-analysis, research syntheses and systematic reviews

17.1   Evidence-based research

17.2   Meta-analysis

17.3   Research syntheses and systematic reviews

18    Action research

18.1   Introduction

18.2   Defining action research

18.3   Principles and characteristics of action research

18.4   Participatory action research

18.5   Action research as critical praxis

18.6   Action research and complexity theory

18.7   Procedures for action research

18.8   Reporting action research

18.9   Reflexivity in action research

18.10 Some practical and theoretical matters

18.11 Conclusion

19    Virtual worlds in educational research

STEWART MARTIN

19.1   Simulations and virtual worlds

19.2   Theoretical bases of simulations and virtual worlds

19.3   Applications of virtual worlds

19.4   A worked example of virtual world research

19.5   Opportunities and limitations

19.6   Issues and problems in virtual world research

19.7   Using a virtual world and simulations in educational research

19.8   Ethical issues in virtual world research

19.9   Online tools for data collection from virtual worlds

19.10 Conclusions

PART 4

Strategies and instruments for data collection and researching

20    Questionnaires

20.1   Ethical issues

20.2   Approaching the planning of a questionnaire

20.3   Types of questionnaire items

20.4   Asking sensitive questions

20.5   Avoiding pitfalls in question writing

20.6   Sequencing questions

20.7   Questionnaires containing few verbal items

20.8   The layout of the questionnaire

20.9   Covering letters/sheets and follow-up letters

20.10 Piloting the questionnaire

20.11 Practical considerations in questionnaire design

20.12 Administering questionnaires

20.13 Processing questionnaire data

21    Interviews

21.1   Introduction

21.2   Conceptions of the interview

21.3   Purposes of the interview

21.4   Types of interview

21.5   Planning interview-based research procedures

21.6   Group interviewing

21.7   Interviewing children

21.8   Interviewing minority and marginalized people

21.9   Focus groups

21.10  Non-directive, focused, problem-centred and in-depth interviews

21.11  Telephone interviewing

21.12  Ethical issues in interviewing

22    Accounts

22.1   Introduction

22.2   The ethogenic approach

22.3   Characteristics of accounts and episodes

22.4   Procedures in eliciting, analysing and authenticating accounts: an example

22.5   Network analysis

22.6   Discourse analysis

22.7   Analysing social episodes

22.8   Account gathering in educational research: an example

22.9   Problems in gathering and analysing accounts

22.10  Strengths of the ethogenic approach

22.11  A note on stories

23    Observation

23.1   Introduction

23.2   Structured observation

23.3   The need to practise structured observation

23.4   Analysing data from structured observations

23.5   Critical incidents

23.6   Naturalistic and participant observation

23.7   Data analysis for less structured observations

23.8   Natural and artificial settings for observation

23.9   The use of technology in recording observations

23.10 Timing and causality with observational data

23.11 Ethical considerations

23.12 Some cautionary comments

23.13 Conclusion

24   Tests

24.1   What are we testing?

24.2   Parametric and non-parametric tests

24.3    Norm-referenced, criterion-referenced and domain-referenced tests

24.4   Commercially produced tests and researcher-produced tests

24.5   Constructing a test

24.6   Software for preparation of a test

24.7   Devising a pre-test and post-test

24.8   Ethical issues in testing

24.9   Computerized adaptive testing

25    Personal constructs

RICHARD   BELL

25.1   Introduction

25.2   Strengths of repertory grid technique

25.3   Working with personal constructs

25.4   Grid analysis

25.5   Some examples of the use of repertory grid in educational research

25.6   Difficulties in the use of repertory grid technique in research

25.7   Resources

26    Role-playing

CARMEL   O’SULLIVAN

26.1   Introduction

26.2   What is role-play?

26.3   Why use role-play in research?

26.4   Issues to be aware of when using role-play

26.5   Role-play as a research method

26.6   How does it work?

26.7   Important strategies for successful role-play

26.8   Three examples of research using role-play

27    Visual media in educational research

27.1   Introduction

27.2   Photographs and still images

27.3   Video and moving images

27.4   Artefacts

27.5   Ethical practices in visual research

PART 5

Data analysis

28    approaches to qualitative data analysis

28.1   Introduction

28.2   Data analysis, thick description and reflexivity

28.3   Ethics in qualitative data analysis

28.4   Computer-assisted qualitative data analysis (CAQDAS)

29    Organizing and presenting qualitative data

29.1   Tabulating data

29.2   Seven ways of organizing and presenting data analysis

29.3   Narrative and biographical approaches to data analysis

29.4   Systematic approaches to data analysis

29.5   Methodological tools for analysing qualitative data

30    Coding and content analysis

30.1   Coding

30.2   What is content analysis?

30.3   How does content analysis work?

30.4   A worked example of content analysis

30.5   Reliability in content analysis

31    Discourses: conversations, narratives and autobiographies as texts

31.1   What is a discourse?

31.2   A conversational analysis

31.3   A narrative discourse

31.4   Autobiography

31.5   Conclusion

32    Analysing visual media

32.1   Introduction

32.2   Content analysis

32.3   Discourse analysis

32.4   Grounded theory

32.5   Interpreting images

32.6   Interpreting an image: a worked example

32.7   Analysing moving images

32.8   Concluding remarks

33    Grounded theory

33.1   Introduction

33.2   The tools of grounded theory

33.3   Developing grounded theory

33.4   Evaluating grounded theory

33.5   Preparing to work in grounded theory

34    Approaches to quantitative data analysis

34.1   Scales of data

34.2   Parametric and non-parametric data

34.3   Descriptive and inferential statistics

34.4   Kinds of variables

34.5   Hypotheses

34.6   One-tailed and two-tailed tests

34.7   Distributions

34.8   Statistical significance

34.9   Hypothesis testing

34.10 Effect size

34.11 A note on symbols

35    Descriptive statistics

35.1   Frequencies, percentages and crosstabulations

35.2   Measures of central tendency and dispersal

35.3   Taking stock

35.4   Correlations and measures of association

35.5   Partial correlations

35.6   Reliability

36    Inferential statistics

36.1   Measures of difference between groups

36.2   The t-test

36.3   Analysis of variance

36.4   The chi-square test

36.5   Degrees of freedom

36.6   The Mann-Whitney and Wilcoxon tests

36.7   The Kruskal-Wallis and Friedman tests

36.8   Regression analysis

36.9   Simple linear regression

36.10 Multiple regression

36.11 Standardized scores

36.12 Closing remarks

37    Multidimensional measurement and factor analysis

37.1   Introduction

37.2   Elementary linkage analysis: an example

37.3   Factor analysis

37.4   What to look for in factor analysis output

37.5   Cluster analysis

37.6   Examples of studies using multidimensional scaling and cluster analysis

37.7   Multidimensional data: some words on notation

37.8   Using the chi-square test in a three-way classification table

37.9   A note on structural equation modelling

37.10 A note on multilevel modelling

38    Choosing a statistical test

38.1   Introduction

38.2   How many samples?

38.3   The types of data used

38.4   Choosing the right statistic

38.5   Assumptions of tests

Notes

Bibliography

Index