Introducing IBM SPSS Statistics 27 Step By Step

A reference to return to

The seventeenth edition targets SPSS 27. Chapters combine steps, output and exercises across descriptive statistics, correlation, tests, regression, reliability and factor analysis. A power-analysis chapter also brings sample-size thinking into preparation rather than leaving it until reporting.

Select a procedure only after identifying the question, variable roles and measurement types. The book supports execution and interpretation; it cannot choose the research problem for you.

Complete a learning loop

Run a small example, inspect its output and write a short interpretation. Return to the data to check coding and the number of observations actually used. For regression, examine data and residuals alongside coefficients rather than reading only the significance column.

Exercise created by Lê Minh: use a small illustrative dataset with a designated missing-value code. Compare descriptions before and after declaring that code, save syntax and output, and explain the change in sample size. This is a data-management exercise, not a universal missing-data treatment.

Try explaining one output table without reopening the instructions. Mark the terms that still require study. Better SPSS use often means fewer misinterpreted tables rather than more memorized menus.

Match the two version numbers

SPSS 27 names the software release; seventeenth edition identifies the book. Other software versions may differ, so check current dialogs rather than demanding an exact screenshot match. The text suits students, self-learners and teaching practice. Pair it with research-design and multivariate-methods reading when those decisions require greater depth.

Choose a companion reading

Continue with: SPSS Statistics Workbook For Dummies (2023 · English edition); Student Study Guide With IBM® SPSS® Workbook for Research Methods, Statistics, and Applications (Third edition · English).

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