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SPSS for intermediate statistics : use and interpretation

作者: Nancy L Leech; Karen Caplovitz Barrett; George A Morgan
出版商: New York : L. Erlbaum Associates, ©2008.
版本/格式:   打印圖書 : 電腦碟片 : 文獻   電腦檔案 : 英語 : 3rd ed所有版本和格式的總覽
提要:
"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  再讀一些...
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資料類型: 文獻, 網際網路資源
文件類型 圖書, 電腦檔案, 網際網路資源
所有的作者/貢獻者: Nancy L Leech; Karen Caplovitz Barrett; George A Morgan
ISBN: 9780805862676 0805862676
OCLC系統控制編碼: 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.
責任: Nancy L. Leech, Karen C. Barrett, George A. Morgan.
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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  再讀一些...

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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 再讀一些...

 
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