An edition of SPSS for intermediate statistics
(2004)
SPSS for intermediate statistics
use and interpretation
3rd ed.
by Nancy L. Leech, Karen C. Barrett, and George A. Morgan
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Subjects
Computer programs, SPSS (Computer file), SPSS for Windows, Social sciences, Statistical methods, Probability & statistics, Research methods: general, Business & Economics, Computers - General Information, Business/Economics, Mathematical & Statistical Software, Statistics, Spss (computer program), Social sciences, statistical methods| Edition | Availability |
|---|---|
1
SPSS for intermediate statistics: use and interpretation
2007, Lawrence Erlbaum Associates
in English
- 3rd ed.
0805862676 9780805862676
|
aaaa
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2
SPSS for Intermediate Statistics: Use and Interpretation
July 16, 2007, Lawrence Erlbaum
Paperback
in English
- 3 edition
0805862676 9780805862676
|
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|
3
SPSS for intermediate statistics: use and interpretation
2005, Lawrence Erlbaum
in English
- 2nd ed.
0805847901 9780805847901
|
zzzz
|
4
Spss for Intermediate Statistics: Use and Interpretation
2004, Taylor & Francis Group
in English
1410611426 9781410611420
|
zzzz
|
Book Details
Table of Contents
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.
Edition Notes
Includes bibliographical references and index.
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| August 1, 2020 | Edited by ImportBot | import existing book |
| July 31, 2019 | Edited by MARC Bot | associate edition with work OL8447746W |
| July 7, 2019 | Edited by MARC Bot | import existing book |
| December 3, 2010 | Edited by Open Library Bot | Added subjects from MARC records. |
| December 10, 2009 | Created by WorkBot | add works page |