Doing quantitative psychological research : from design to report
著者
書誌事項
Doing quantitative psychological research : from design to report
Psychology Press, c1997
- pbk.
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
This book has four aspects which together make it unique. Firstly, it takes the reader through all the stages of research from design, through conduct, analysis and interpretation to reporting the research, including advice on presenting a paper or a poster at a conference. Secondly, it describes a wide range of methods and although it concentrates on quantitative approaches, it also briefly describes a number of qualitative methods. Thirdly, the coverage of statistical techniques is thorough but the way in which they are described is designed for the reader who will do the analysis by computer. Accordingly, the techniques are presented in as non-mathematical a way as possible, with the emphasis on choosing the appropriate test and interpreting and reporting the results. Nonetheless, formulae, worked examples and more complex material are contained in extensive appendixes. Fourthly, the importance of statistical power and effect size is stressed, with guidelines on how to choose an appropriate sample size for most of the statistical tests covered in the book. These include a wide range of both parametric and non-parametric tests. The book concentrates on univariate statistics - such as t-tests, ANOVA and Multiple Regression - and bi-variate statistics - such as correlation - but also includes a chapter which describes multivariate techniques to give the reader an idea of when they can be used.
目次
Preface. Acknowledgements. 1. Introduction. The Methods Used in Psychological Research. 2. Choice of Topic, Measures and Research Design. The Preliminary Stages of Research. Variables and the Validity of Research Designs. Designs and Their Internal Validity. 3. Methods. Asking Questions I: Interviews and Surveys. Asking Questions II: Measuring Attitudes and Meaning. Observation and Content Analysis. 4. Data Analysis. Scales of Measurement. Summarising and Describing Data. Going beyond Description. Samples and Populations. Analysis of Differences between a Single Sample and a Population. Effect Size and Power. Parametric and Non-parametric Tests. Differences between Two Levels of an Independent Variable with More than Two Levels. Analysis of Designs with more Than One Independent Variable. Subsequent Analysis after ANOVA or x2. Analysis of Relationships I: Correlation. Analysis of Relationships II: Regression. Multivariate Analysis. Meta-analysis. Sharing the Results. Reporting Research. Appendixes. Glossary. References. Author Index. Subject Index.
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