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SPSS for intermediate statistics : use and interpretation

Autor Nancy L Leech; Karen Caplovitz Barrett; George A Morgan
Vydavatel: New York : L. Erlbaum Associates, ©2008.
Vydání/formát:   Kniha : English : 3rd edZobrazit všechny vydání a formáty
Databáze:WorldCat
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Helps students learn to analyze and interpret research data using SPSS by demonstrating how to compute a variety of statistics covered in intermediate statistics courses. This book introduces several  Přečíst více...

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Typ materiálu: Internetový zdroj
Typ dokumentu: Book, Internet Resource
Všichni autoři/tvůrci: Nancy L Leech; Karen Caplovitz Barrett; George A Morgan
ISBN: 9780805862676 0805862676
OCLC číslo: 123232225
Popis: xii, 270 p. : ill. ; 28 cm. + 1 CD-ROM (4 3/4 in.)
Obsahy: Introduction and review of basic statistics with SPSS variables --
Research hypotheses and research questions --
A sample research problem : the modified high school and beyond study --
Research questions for the modified HSB study --
Frequency distributions --
Levels of measurement --
Descriptive statistics --
Conclusions about measurement and the use of statistics --
The normal curve --
Data coding and exploratory analysis (EDA) --
Rules for data coding --
Exploratory data analysis (EDA) --
Statistical assumptions --
Checking for errors and assumptions with ordinal and scale variables --
Using tables and figures for EDA --
Transforming variables --
Several measures of reliability --
Problem 4.1: Cronbachs alpha for the motivation scale --
Problems 4.2 & 4.3: Cronbachs alpha for the competence and pleasure scales --
Problem 4.4: test-retest reliability using correlation --
Problem 4.5: Cohens kappa with nominal data --
Exploratory factor analysis and principal components analysis --
Problem 5.1: factor analysis on math attitude variables --
Problem 5.2: principal components analysis on achievement variables --
Selecting and interpreting inferential statistics --
Selection of inferential statistics --
The general linear model --
Interpreting the results of a statistical test --
An example of how to select and interpret inferential statistics --
Review of writing about your outputs --
Multiple regression --
Problem 6.1: using the simultaneous method to compute multiple regression --
Problem 6.2: simultaneous regression correcting multicollinearity --
Problem 6.3: hierarchical multiple linear regression --
Logistic regression and discriminant analysis --
Problem 7.1: logistic regression --
Problem 7.2: hierarchical logistic regression --
Problem 7.3: discriminant analysis (da) --
Factorial anova and ancova --
Problem 8.1: factorial (2-way) anova --
Problem 8.2: post hoc analysis of a significant interaction --
Problem 8.3: analysis of covariance (ancova) --
Repeated measures and mixed anovas --
The product data set --
Problem 9.1: repeated measures anova --
Problem 9.2: the friedman nonparametric test for several related samples --
Problem 9.3: mixed anova --
Multivariate analysis of variance --
Problem 10.1: GLM single-factor multivariate analysis of variance --
Problem 10.2: GLM two-factor multivariate analysis of variance --
Problem 10.3: mixed manova --
Problem 10.4: canonical correlation --
Multilevel linear modeling/hierarchical linear modeling --
Problem 11.1: unconditional level 1 repeated measures model --
Problem 11.2: repeated measures with level 2 predictor --
Problem 11.3: unconditional individuals-nested-in-schools model --
Problem 11.4: conditional individuals-nested-in-schools model with level 1 covariate.
Odpovědnost: Nancy L. Leech, Karen C. Barrett, George A. Morgan.
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