9781841691398

An Introduction to Psychological Tests and Scales

by ;
  • ISBN13:

    9781841691398

  • ISBN10:

    1841691399

  • Edition: 2nd
  • Format: Nonspecific Binding
  • Copyright: 2001-06-22
  • Publisher: Psychology Pres

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Summary

In its first edition this book successfully enabled readers, with little or no prior knowledge of computing or statistics, to develop reliable and valid tests and scales for assessment or research purposes. In this edition, the author has thoroughly updated the text to include new recent advances in computer software and provide information on relevant internet resources. The book contains detailed guidelines for locating and constructing psychological measures, including descriptions of popular psychological measures and step-by-step instructions for composing a measure, entering data and computing reliability and validity of test results. Advanced techniques such as factor analysis, analysis of covariance and multiple regression analysis are presented for the beginner. An Introduction to Psychological Tests and ScalesScales provides a clear, concise and jargon-free primer for all those embarking on fieldwork or research analysis. It will be an invaluable tool for undergraduates andpostgraduates in psychology and a useful text for students and professionals in related disciplines.

Table of Contents

Foreword viii
Preface x
Acknowledgements xii
What is a good psychological measure?
1(20)
The aims of this book
1(1)
Features of good psychological measure
2(18)
Summary
20(1)
A guide to finding and using existing tests and scales
21(9)
Finding the scale
22(6)
Pros and cons of using an existing scale
28(1)
Using the scale
28(1)
Summary
29(1)
Writing
30(12)
Defining what you want to measure
30(2)
Collecting items
32(3)
Producing the preliminary questionaire or test
35(6)
Summary
41(1)
Testing
42(11)
Deciding on a sample and reducing sample bias
42(6)
Recruiting methods
48(2)
Testing
50(2)
Summary
52(1)
Data and preliminary analysis
53(15)
Coding, scoring, and data entry
53(6)
Selecting reliable items
59(5)
Descriptive statistics (norms) for the final scale
64(1)
Summary of steps for data entry and reliability
64(1)
Factor and principal components analyses
65(2)
Summary
67(1)
The final scale and its validation
68(87)
Descriptive statistics (norms)
68(1)
Validity
68(7)
Presenting the scale
75(1)
Summary
76(1)
APPENDICES
Appendix to Chapter 1 Examples of test and scale presentation
77(9)
Example 1. Narcissistic Personality Inventory (NPI)
77(2)
Example 2. Individual Responsibility (IR) measure
79(3)
Example 3. Structure of Prayer Scale
82(1)
Example 4. Quality of Cognitive Therapy Scale (CTS)
83(3)
Appendix to Chapter 2 Selecting tests
86(28)
2.1 Guidelines for psychological testing
86(5)
2.2 Publishers of psychological tests
91(1)
2.3 Measures included in the National Foundation for Educational Research (NFER) portfolios
92(5)
2.4 The British Psychological Society's Certificates of Competence in Occupational Testing
97(1)
2.5 Some useful tests: An introductory review
98(16)
Appendix to Chapter 4 Ethical guidelines
114(5)
4.1 The Australian Psychological Society's Guidelines for the use of Psychological tests
114(2)
4.2 Conducting an individual testing session
116(1)
4.3 Feedback
116(1)
4.4 Ethical Committee of Royal Holloway University of London: Notes for guidance
117(1)
4.5 Guidelines for medical research
118(1)
Appendix to Chapter 5 Reliability
119(24)
5.1 Types of data, coding, and statistics
120(2)
5.2 An example of coding
122(2)
5.3 Making and checking a database in SPSS for Windows
124(9)
5.4 Reliability analysis in SPSS for Windows
133(2)
5.5 Improving reliability
135(3)
5.6 Factor and principal components analyses in SPSS for Windows
138(5)
Appendix to Chapter 6 Computation and validity
143(12)
6.1 Computing total scores on your measure
143(1)
6.2 Criterion validity using an unrelated t-test
144(3)
6.3 Concurrent validity: Using SPSS to calculate correlations
147(2)
6.4 Criterion and predictive validity: One-way analysis of variance in SPSS, including comparisons between groups
149(3)
6.5 Confounded variables: Loglinear analysis, logistic regression, analysis of covariance, and multiple regression analysis
152(3)
Bibliography 155(8)
Useful web sites 163(2)
Author index 165(3)
Subject index 168

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