.

0 (hodnocen0 x )

BK

1st ed.

London : Sage, 2004

xi,228 s. : il.

ISBN 0-7619-4383-8 (brož.)

Obsahuje ilustrace, tabulky, bibliografické citace, předmluvu, rejstřík, údaje o autorovi

Bibliografie na s. 220-221

Výzkum sociologický - metody - příručky

Výzkumy pedagogické - metody kvantitativní - příručky

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List of figures viii // List of tables x // Preface xi // 1 Introduction to quantitative research 1 // What is quantitative research? 1 // Foundations of quantitative research methods 3 // When do we use quantitative methods? 7 // Summary 11 // Exercises 11 // Further reading 12 // 2 Experimental and quasi-experimental research 13 // Types of quantitative research 13 // How to design an experimental study 15 // Advantages and disadvantages of experimental research // in education 22 // Quasi-experimental designs 26 // Summary 32 // Exercises 33 // Further reading 33 // 3 Designing non-experimental studies 34 // Survey research 34 // Observational research 51 // Analysing existing datasets 57 // Summary 60 // Exercises 61 // Appendix 3.1 Example of a descriptive form 62 // Appendix 3.2 Rating the quality of interactions between // teachers and pupils 63 // v // vi Đ– Contents // 4 Validity, reliability and generalisability 64 // Validity 65 // Reliability 71 // Generalisability 7 5 // Summary 82 // Exercises 83 // Further reading 83 // 5 Introduction to SPSS and the dataset 85 // Introduction to SPSS 85 // Summary 90 // Exercises 90 // 6 Univariate statistics 91 // Introduction 91 // Frequency distributions 91 // Levels of measurement 97 // Measures of central tendency 99 // Measures of spread 105 // Summary 110 // Exercises 112 // Further reading 112 // 7 Bivariate analysis: comparing two groups 113 // Introduction 113 // Cross tabulation - looking at the relationship between nominal and ordinal variables 114 // The t-test: comparing the means of two groups 127 // Summary 139 // Exercises 140 // Further reading 140 // 8 Bivariate analysis: looking at the relationship between two variables 142 // The relationship between two continuous variables: Pearson’s r correlation coefficient 142 //

Spearman’s rho rank-order correlation coefficient: the relationship between two ordinal variables 151 // Summary 156 // Exercises 157 // Further reading 158 // 9 Multivariate analysis: using multiple linear regression to look at the relationship between several predictors and one dependent variable 159 // Introduction 159 // What is multiple linear regression? 160 // Doing regression analysis in SPSS 163 // Using ordinal and nominal variables as predictors 169 // Diagnostics in regression 176 // Summary 183 // Exercises 184 // Further reading 184 // 10 Using analysis of variance to compare more // than two groups 185 // Want is ANOVA? 185 // Doing ANOVA in SPSS 187 // The effect size measure 194 // Using more than one independent variable 196 // Summary 200 // Exercises 201 // Further reading 201 // 11 One step beyond: introduction to multilevel modelling and structural equation modelling 202 // Multilevel modelling 202 // Structural equation modelling 209 // Summary 217 // Exercises 218 // Further reading 219 // References 220 // Index 222