Research methods and statistics in psychology

著者

書誌事項

Research methods and statistics in psychology

Hugh Coolican

Hodder & Stoughton, 1994

2nd ed

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注記

Includes bibliographical references (p. [484]-490) and index

内容説明・目次

内容説明

This new edition has been sustantially revised and updated, and provides a comprehensive survey of current research methods in psychology today, clearly explaining statistical concepts and procedures. The full range of common experimental and non-experiemental methods are covered in depth, along with an integration of the contemporary qualitative-quantitative debate among psychological researchers. Additions in the qualitative arena include discussions on discursive psychology, reflexivity, verbal protocols and the transcription of recorded speech. In the statistical sections, ANOVA procedures (including multi-factorial designs), multi-level non-parametric tests, and a brief introduction to complex tests (MANOVA, ANCOVA and multiple regression) are all covered, and basic procedural methods have been completely updated. Each chapter deals with a different topic, and ends with an exercise section to test material covered in that chapter. A detailed summary of each chapter and a glossary of key terms, which can be used as a self-test resource, are also included. The ten structured exercises, similar to A-level practical questions, at the end of the book, have been completely revised.

目次

  • Psychology and research
  • variables and definitions
  • samples and groups
  • some general themes
  • the experimental method 1 - nature of the method
  • the experimental method 2 - experimental designs
  • observational methods
  • asking questions 1 - interviews and surveys
  • asking questions 2 - questionnaries, scales and tests
  • comparison studies
  • new paradigms
  • measurement
  • descriptive statistics
  • probability and significance
  • simple tests of difference - non-parametric
  • tests at nominal level
  • tests at ordinal level
  • simple tests of difference - parametric
  • tests at interval/ratio level
  • correlation and its signficance
  • tests for more than two conditions
  • non-parametric tests - more than two conditions
  • one-way ANOVA
  • multi-factor ANOVA
  • other useful complex multi-variate tests - a brief summary
  • choosing an appropriate test
  • analyzing qualitative data
  • ethical issues and humanism in psychological research
  • planning practicals
  • writing your practical report.

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