SPSS for intermediate statistics
Subtitle: use and interpretation
By: Nancy L. Leech, Karen C. Barrett, and George A. Morgan.
Contributors: Barrett, Karen Caplovitz.; Morgan, George A. 1936-
Edition: 3rd ed.
Publisher: Lawrence Erlbaum Associates
Published: 2007
Place of publication: New York
Language: eng
ISBN-13: 9780805862676
Subjects: SPSS for Windows; SPSS (Computer file); Social sciences -- Statistical methods -- Computer programs
Notes: Includes bibliographical references and index.
Table of contents: title: Introduction and review of basic statistics with SPSS variables; title: Research hypotheses and research questions; title: A sample research problem : the modified high school and beyond  study; title: Research questions for the modified HSB study; title: Frequency distributions; title: Levels of measurement; title: Descriptive statistics; title: Conclusions about measurement and the use of statistics; title: The normal curve; title: Data coding and exploratory analysis (EDA); title: Rules for data coding; title: Exploratory data analysis (EDA); title: Statistical assumptions; title: Checking for errors and assumptions with ordinal and scale variables; title: Using tables and figures for EDA; title: Transforming variables; title: Several measures of reliability; title: Problem 4.1: Cronbachs alpha for the motivation scale; title: Problems 4.2 & 4.3: Cronbachs alpha for the competence and pleasure scales; title: Problem 4.4: test-retest reliability using correlation; title: Problem 4.5: Cohens kappa with nominal data; title: Exploratory factor analysis and principal components analysis; title: Problem 5.1: factor analysis on math attitude variables; title: Problem 5.2: principal components analysis on achievement variables; title: Selecting and interpreting inferential statistics; title: Selection of inferential statistics; title: The general linear model; title: Interpreting the results of a statistical test; title: An example of how to select and interpret inferential statistics; title: Review of writing about your outputs; title: Multiple regression; title: Problem 6.1: using the simultaneous method to compute multiple regression; title: Problem 6.2: simultaneous regression correcting multicollinearity; title: Problem 6.3: hierarchical multiple linear regression; title: Logistic regression and discriminant analysis; title: Problem 7.1: logistic regression; title: Problem 7.2: hierarchical logistic regression; title: Problem 7.3: discriminant analysis (da); title: Factorial anova and ancova; title: Problem 8.1: factorial (2-way) anova; title: Problem 8.2: post hoc analysis of a significant interaction; title: Problem 8.3: analysis of covariance (ancova); title: Repeated measures and mixed anovas; title: The product data set; title: Problem 9.1: repeated measures anova; title: Problem 9.2: the friedman nonparametric test for several related samples; title: Problem 9.3: mixed anova; title: Multivariate analysis of variance; title: Problem 10.1: GLM single-factor multivariate analysis of variance; title: Problem 10.2: GLM two-factor multivariate analysis of variance; title: Problem 10.3: mixed manova; title: Problem 10.4: canonical correlation; title: Multilevel linear modeling/hierarchical linear modeling; title: Problem 11.1: unconditional level 1 repeated measures model; title: Problem 11.2: repeated measures with level 2 predictor; title: Problem 11.3: unconditional individuals-nested-in-schools model; title: Problem 11.4: conditional individuals-nested-in-schools model with level 1 covariate.