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SPSS for intermediate statistics : use and interpretation

著者: Nancy L Leech; Karen Caplovitz Barrett; George A Morgan
出版商: New York : L. Erlbaum Associates, ©2008.
版本/格式:   打印图书 : 计算机光盘   计算机文档 : 英语 : 3rd ed查看所有的版本和格式
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"This book 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. The new edition features SPSS 15.0, but the book can also be used with earlier and probably future versions of SPSS. Each chapter introduces several related statistics and provides instructions on how to run them and interpret the  再读一些...
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文档类型 图书, 计算机文档, 互联网资源
所有的著者/提供者: Nancy L Leech; Karen Caplovitz Barrett; George A Morgan
ISBN: 9780805862676 0805862676
OCLC号码: 123232225
描述: xii, 270 pages : illustrations ; 28 cm + 1 CD-ROM (4 3/4 in.)
内容: 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.
责任: Nancy L. Leech, Karen C. Barrett, George A. Morgan.
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摘要:

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  再读一些...

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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 再读一些...

 
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