This accessible book outlines the key ingredients of psychological assessment and provides case studies to illustrate their application, making this an ideal textbook for courses on psychometrics or psychological assessment. The book covers the nature of assessment, basic components, how tests are made, underlying statistics, reliability and validity, assessment of intelligence, abilities and personality, non-psychometric approaches, as well as ethical and professional issues and modern developments. A final chapter explains how readers can construct their own tests. Wide-ranging case studies demonstrate the variety of contexts in which assessment is conducted. The author’s clarity of writing and use of practical examples throughout helps students apply these methods in practice with confidence as part of their studies on an array of courses.

Statistics for Psychological Measurement

Statistics for psychological measurement

Learning Objectives

By the end of this chapter you should be able to:

  • Understand the graphical representation of frequency distributions of test scores and the properties of the normal curve.
  • Determine measures of central tendency, including the standard deviation of distributions.
  • Explain how sampling affects error around mean scores and how we can use confidence limits to estimate this error.
  • Understand the different types of standard scores such as z scores, T scores, sten and stanine scores, how they are calculated and can be converted.

What is This Chapter about?

In Chapter 3 we looked at the construction of assessment measures, beginning with setting aims and concluding with creating percentile norms and interpretation systems. You might think this is a lot, but it is not ...

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