Tables

1.1

Alternative bases for interpreting social reality

2.1

Habermas’s knowledge-constitutive interests and the nature of research

2.2

Differing approaches to the study of behaviour

4.1

Science choices of secondary school males and females

4.2

Science choices of male and female secondary students with Teacher A or B

4.3

Further science choices of male and female secondary students with Teacher A or B

7.1

Purposes and kinds of research

7.2

Three examples of planning for time frames for data collection in mixed methods research

7.3

Elements of research styles

7.4

A matrix for planning research

7.5

A planning matrix for research

8.1

Sample size, confidence levels and confidence intervals for random samples

8.2

Sample sizes for categorical and continuous data

8.3

Types of sample

10.1

Comparing validity in quantitative and qualitative research

10.2

Comparing reliability in quantitative and qualitative research

13.1

Maximum variation for low response rates in a yes/no question for a 50/50 distribution

13.2

The characteristics, strengths and weaknesses of longitudinal, cross-sectional, trend analysis and retrospective longitudinal studies

13.3

Problems and solutions in internet-based surveys

14.1

Continua of data collection, types and analysis in case study research

19.1

Features and affordances of simulations and virtual worlds

20.1

Crosstabulation of responses to two key factors in effective leadership

20.2

A ten-point marking scale in a questionnaire

20.3

Potential problems in conducting research

21.1

Summary of relative merits of interview versus questionnaire

21.2

Strengths and weaknesses of different types of interview

21.3

The selection of response mode

23.1

A structured observation schedule

23.2

Structured, unstructured, natural and artificial settings for observations

24.1

A matrix of test items

24.2

Compiling elements of test items

25.1

A laddering dialogue

25.2

Grid summary measures

25.3

Focused grid data showing effect of construct alignment

26.1

Examples of the use of role-play in the literature

29.1

The effectiveness of English teaching

29.2

The strengths and weaknesses of English language teaching

29.3

Teaching methods

29.4

Student-related factors

30.1

Tabulated data for comparative analysis

34.1

Type I and Type II errors

34.2

Mean and standard deviation in an effect size (SPSS output)

34.3

The Levene test for equality of variances (SPSS output)

34.4

Mean and standard deviation in a paired sample test (SPSS output)

34.5

Difference test for a paired sample (SPSS output)

34.6

Effect size in analysis of variance (SPSS output)

34.7

Frequently used Greek letters in statistics

35.1

Frequencies and percentages for a course evaluation (SPSS output)

35.2

Crosstabulation by totals (SPSS output)

35.3

Crosstabulation by row totals (SPSS output)

35.4

Rating scale of agreement and disagreement

35.5

Satisfaction with a course

35.6

Combined categories of rating scales

35.7

Representing combined categories of rating scales

35.8

A bivariate crosstabulation (SPSS output)

35.9

A bivariate analysis of parents’ views on public examinations

35.10

A trivariate crosstabulation

35.11

Distribution of test scores (SPSS output)

35.12

Common measures of relationship

35.13

Percentage of public library members by their social class origin

35.14

A Pearson product moment correlation (SPSS output)

35.15

Part-time work and class of degree, controlled for socio-economic status (SPSS output)

35.16

Identifying unreliable items in Cronbach’s alpha (SPSS output)

36.1

Means and standard deviations for a t-test (SPSS output)

36.2

The Levene test for equality of variances in a t-test (SPSS output)

36.3

A t-test for leaders and teachers (SPSS output)

36.4

The Levene test for equality of variances between leaders and teachers (SPSS output)

36.5

Means and standard deviations in a paired samples t-test (SPSS output)

36.6

The paired samples t-test (SPSS output)

36.7

Descriptive statistics for analysis of variance (SPSS output)

36.8

SPSS output for one-way analysis of variance (SPSS output)

36.9

The Tukey test (SPSS output)

36.10

Homogeneous groupings in the Tukey test (SPSS output)

36.11

Means and standard deviations in a two-way analysis of variance (SPSS output)

36.12

The Levene test of equality of variances in a two-way analysis of variance (SPSS output)

36.13

Between-subject effects in two-way analysis of variance (SPSS output)

36.14

A 2 × 3 contingency table for chi-square

36.15

A 2 × 5 contingency table for chi-square

36.16

A crosstabulation for a Mann-Whitney U test (SPSS output)

36.17

Rankings for the Mann-Whitney U test (SPSS output)

36.18

The Mann-Whitney U value and significance level (SPSS output)

36.19

Frequencies and percentages of variable one in a Wilcoxon test (SPSS output)

36.20

Frequencies and percentages of variable two in a Wilcoxon test (SPSS output)

36.21

Ranks and sums of ranks in a Wilcoxon test (SPSS output)

36.22

Significance level in a Wilcoxon test (SPSS output)

36.23

Crosstabulation for the Kruskal-Wallis test (SPSS output)

36.24

Rankings for the Kruskal-Wallis test (SPSS output)

36.25

Significance levels in a Kruskal-Wallis test (SPSS output)

36.26

Frequencies for variable one in the Friedman test (SPSS output)

36.27

Frequencies for variable two in the Friedman test (SPSS output)

36.28

Frequencies for variable three in the Friedman test (SPSS output)

36.29

Rankings for the Friedman test (SPSS output)

36.30

Significance level in the Friedman test (SPSS output)

36.31

A summary of the R, R square and adjusted R square in regression analysis (SPSS output)

36.32

Significance level in regression analysis (SPSS output)

36.33

The Beta coefficient in a regression analysis (SPSS output)

36.34

A summary of the R, R square and adjusted R square in multiple regression analysis (SPSS output)

36.35

Significance level in multiple regression analysis (SPSS output)

36.36

The Beta coefficients in a multiple regression analysis (SPSS output)

36.37

Relative Beta weightings of independent variables on teacher stress (SPSS output)

36.38

Altered weightings in Beta coefficients (SPSS output)

36.39

Further altered weightings in Beta coefficients (SPSS output)

36.40

Extract from area under the normal curve of distribution

37.1

Rank ordering of ten children on seven constructs

37.2

Intercorrelations between seven personal constructs

37.3

The structuring of relationships among the seven personal constructs

37.4

Initial SPSS output for principal components analysis (SPSS output)

37.5

The rotated components matrix in principal components analysis (SPSS output)

37.6

Checking the correlation table for suitability of the data for factorization (SPSS output)

37.7

Checking the suitability of the data for factor analysis (SPSS output)

37.8

Checking the variance explained by each item (SPSS output)

37.9

Extraction of two factors (SPSS output)

37.10

Pattern matrix (SPSS output with markings added)

37.11

Person-concept coding system

37.12

Reliability coefficients for peer descriptions

37.13

Sex, voting preference and social class: a three-way classification table

37.14

Sex, voting preference and social class: a three-way notational classification

37.15

Expected frequencies in sex, voting preference and social class

37.16

Expected frequencies assuming that sex is independent of social class and voting preference

37.17

Sex and voting preference: a two-way classification table

38.1

Identifying statistical tests for an experiment

38.2

Statistical tests to be used with different numbers of groups of samples

38.3

Types of statistical tests for four scales of data

38.4

Statistics available for different types of data

38.5

Assumptions of statistical tests