Using Spss to Solve Statistical Problems: A Self-Instruction Guide

This book helps users learn to use a variety of SPSS procedures to solve statistical problems and analyze the output. Its step-by-step, screen-by-screen approach explores every SPSS dialog box and window that SPSS users will encounter as they solve statistical problems. It is designed as a self-instructional guide so users can easily follow and learn SPSS while actually using the program. The author(s) provide a brief rationale and real-life examples for each statistical procedure addressed in the book. Presents an illustration of each procedure— followed with a thorough discussion and interpretation of the output generated using SPSS. Topics covered include: Retrieving and Saving SPSS Files; Data Entry and Definition; Importing and Merging Data Files; Frequency Analysis; Measures of Central Tendency and Variability; Selecting and Describing Subgroups; Recoding Variables; Computing New Variables; Reliability Analysis; Introduction to Hypothesis Testing; Crosstabulation of Variables; Displaying & Describing Relationships; T-Tests; One-Way and Factorial ANOVA; Paired-Samples T-Test; Within-Subjects and Mixed -Model ANOVA; and Bivariate and Multiple Regression. Intended as a supplemental self-instructional guide for those learning SPSS to solve statistical problems.

This book helps users learn to use a variety of SPSS procedures to solve statistical problems and analyze the output. Its step-by-step, screen-by-screen approach explores every SPSS dialog box and window that SPSS users will encounter as they solve statistical problems. It is designed as a self-instructional guide so users can easily follow and learn SPSS while actually using the program. The author(s) provide a brief rationale and real-life examples for each statistical procedure addressed in the book. Presents an illustration of each procedure— followed with a thorough discussion and interpretation of the output generated using SPSS. Topics covered include: Retrieving and Saving SPSS Files; Data Entry and Definition; Importing and Merging Data Files; Frequency Analysis; Measures of Central Tendency and Variability; Selecting and Describing Subgroups; Recoding Variables; Computing New Variables; Reliability Analysis; Introduction to Hypothesis Testing; Crosstabulation of Variables; Displaying & Describing Relationships; T-Tests; One-Way and Factorial ANOVA; Paired-Samples T-Test; Within-Subjects and Mixed -Model ANOVA; and Bivariate and Multiple Regression. Intended as a supplemental self-instructional guide for those learning SPSS to solve statistical problems.