Muutke küpsiste eelistusi

Quantitative Psychological Research: The Complete Student's Companion 5th edition [Pehme köide]

3.75/5 (8 hinnangut Goodreads-ist)
(University of Staffordshire)
  • Formaat: Paperback / softback, 778 pages, kõrgus x laius: 246x189 mm, kaal: 453 g, 316 Tables, black and white; 15 Line drawings, color; 139 Line drawings, black and white; 15 Illustrations, color; 139 Illustrations, black and white
  • Ilmumisaeg: 25-Jan-2024
  • Kirjastus: Routledge
  • ISBN-10: 1032103973
  • ISBN-13: 9781032103976
Teised raamatud teemal:
Quantitative Psychological Research: The Complete Student's Companion 5th editionSuurem pilt
  • Formaat: Paperback / softback, 778 pages, kõrgus x laius: 246x189 mm, kaal: 453 g, 316 Tables, black and white; 15 Line drawings, color; 139 Line drawings, black and white; 15 Illustrations, color; 139 Illustrations, black and white
  • Ilmumisaeg: 25-Jan-2024
  • Kirjastus: Routledge
  • ISBN-10: 1032103973
  • ISBN-13: 9781032103976
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781032103976.html
Märksõnad:

Quantitative Psychological Research: The Complete Student's Companion, expertly guides the reader through all the stages involved in undertaking quantitative psychological research: designing a study, choosing a sample of people, undertaking the study, analysing the data, and reporting the research.



Quantitative Psychological Research: The Complete Student's Companion, expertly guides the reader through all the stages involved in undertaking quantitative psychological research: designing a study, choosing a sample of people, undertaking the study, analysing the data, and reporting the research.

Accessibly written and clearly presented, the book is designed for anyone learning to conduct quantitative psychological research as well being a reference work for professional psychologists. It covers the full research process, from the original idea to reporting the completed study, emphasizing the importance of looking beyond statistical significance in evaluating data. The book provides step-by-step guidance on choosing, interpreting and reporting the appropriate analysis, featuring worked examples and extended calculations as appendices for readers who wish to delve further.

This edition features a new chapter examining ideas on how causality might be identified when data is not obtained from an experiment and has been thoroughly updated throughout to reflect latest research practices. Care has been taken to avoid tying the book to any specific statistical software, providing readers with a thorough grounding in the basics no matter which package they go on to use.

This is a must read for professional psychologists as well as students and researchers of Psychology, Statistics and Research Methods. This book is also invaluable for anyone interested in conducting quantitative psychological research.

Detailed contents of chapters

Preface

Part 1

Introduction

1 The methods used in psychological research

Part 2

Choice of topic, measures and research design

2 The preliminary stages of research

3 Variables and the validity of research designs

4 Research designs and their internal validity

Part 3

Methods

5 Asking questions I: Interviews and surveys

6 Asking questions II: Measuring attitudes and meaning

7 Observation and content analysis

Part 4

Data and analysis

8 Scales of measurement

9 Summarising and describing data

10 Going beyond description

11 Samples and populations

12 Analysis of differences between a single sample and a population

13 Effect size and power

14 Parametric and non-parametric tests

15 Analysis of differences between two levels of an independent variable

16 Preliminary analysis of designs with one independent variable with
more than two levels

17 Analysis of designs with more than one independent variable

18 Subsequent analysis after ANOVA or ?2

19 Analysis of relationships I: Correlation

20 Analysis of relationships II: Regression

21 Analysis of relationships III: Logistic regression

22 Analysis of covariance (ANCOVA)

23 Screening data

24 Exploratory Factor Analysis (EFA)

25 Multivariate analysis

26 Meta-analysis

27

Bayesian statistics

28 Cause and effect

Part 5

Sharing the results

29 Reporting research

Appendixes

I. Descriptive statistics

(linked to
Chapter 9)

II. Sampling and confidence intervals for proportions

(linked to
Chapter 11)

III. Comparing a sample with a population

(linked to
Chapter 12 and
Chapter 11)

IV. The power of a one-group z-test and finding sample sizes via confidence intervals

(linked to
Chapter 13)

V. Data transformation and goodness-of-fit tests

(linked to
Chapter 14)

VI. Seeking differences between two levels of an independent variable

(linked to
Chapter 15)

VII. Seeking differences between more than two levels of an independent variable

(linked to
Chapter 16)

VIII. Analysis of designs with more than one independent variable

(linked to
Chapter 17)

IX. Subsequent analysis after ANOVA or

?2

(linked to
Chapter 18)

X. Correlation and reliability

(linked to
Chapter 19)

XI. Linear Regression

(linked to
Chapter 20)

XII. Logistic regression

(linked to
Chapter 21)

XIII. ANCOVA

(linked to
Chapter 22)

XIV. Evaluation of measures: Item and discriminative analysis, and accuracy of tests

(linked to
Chapter 6)

XV. Unbalanced designs

(linked to
Chapter 23)

XVI Exploratory Factor Analysis

(linked to
Chapter 24)

XVII. Meta-analysis

(linked to
Chapter 26)

XVIII. Bayesian statistics

(linked to
Chapter 27)

XIX. Probability tables

XX. Power tables

XXI. Miscellaneous tables

References

Glossary of symbols

Author index

Subject index

David Clark-Carter is Professor Emeritus of Psychological Research Methods at Staffordshire University and a Consulting Editor of the British Journal of Mathematical and Statistical Psychology. In 2016 he was awarded the lifetime achievement award by the Education and Public Engagement Board of the BPS. His research has included psychological aspects of sensory impairment, health psychology and the use made by psychologists of research methods.