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SPSS for intermediate statistics : use and interpretation

著者: Nancy L Leech; Karen Caplovitz Barrett; George A Morgan
出版: New York : L. Erlbaum Associates, ©2008.
エディション/フォーマット:   書籍 : English : 3rd edすべてのエディションとフォーマットを見る
データベース: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  続きを読む

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資料の種類: インターネット資料
ドキュメントの種類: 図書, インターネットリソース
すべての著者/寄与者: Nancy L Leech; Karen Caplovitz Barrett; George A Morgan
ISBN: 9780805862676 0805862676
OCLC No.: 123232225
物理形態: xii, 270 p. : ill. ; 28 cm. + 1 CD-ROM (4 3/4 in.)
コンテンツ: 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.
責任者: Nancy L. Leech, Karen C. Barrett, George A. Morgan.
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"This book is an ideal supplement for advanced courses in intermediate statistics or research methods found in departments of psychology, education, and other social and health sciences. Many of my 続きを読む

 
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