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SPSS for intermediate statistics : use and interpretation / Nancy L. Leech, Karen C. Barrett, George A. Morgan.

By: Contributor(s): Language: English Publisher: New York : Lawrence Erlbaum, cop. 2008Edition: 3. edDescription: xii, 270 s. ill. 28 cm. 1 CD-ROM (4 3/4 in.)ISBN:
  • 9780805862676
  • 0805862676
Subject(s): DDC classification:
  • 005.55 22
  • 005.5/5 22
LOC classification:
  • HA32
Other classification:
  • Pubdz SPSS
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.
Holdings
Item type Current library Shelving location Call number Status Date due Barcode Item holds
Book Biblioteket HKR Biblioteket 005 Leech Available 11156000165212
Total holds: 0

Enhanced descriptions from Syndetics:

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. This edition features SPSS 15.0, but it can also be used with SPSS 16 & 17 or earlier versions.

Each chapter introduces several related statistics in a user-friendly manner and provides instructions on how to run them and interpret the outputs. The book reviews research designs and how to assess the assumptions, accuracy, and reliability of data. The authors demonstrate how to: choose an appropriate statistic based on the research design and level of measurement; use SPSS to help answer research questions; and interpret and write about SPSS outputs. The examples use real data contained on the book's CD.

The 3rd edition features:

Instructor's Resource materials (available on request) with answers to interpretation questions, extra SPSS problems and course support for instructors Four extra SPSS problems in each chapter for additional practice A new chapter on multilevel linear modeling with SPSS Post-hoc tests in addition to contrasts in the Factorial ANOVA and ANCOVA chapter Coverage of odd ratios and effect sizes for logistic and discriminant analyses How to compute and interpret post-hoc power demonstrated for each statistic An expanded Appendix, Getting Started and Other Useful SPSS Commands, including how to work with the output; import and export files; select cases; and split and merge files.

SPSS for Intermediate Statistics, 3rd Edition provides:

The key SPSS windows needed to perform the analyses Display of the outputs readers can expect to produce with call-out boxes to highlight what to focus on Interpretation sections and questions to help students better understand the output and write about the results Charts and tables to help select an appropriate statistic and interpret statistical significance and effect sizes Lab assignments organized around the way students proceed in every step of a research project Appendices on getting started with SPSS, a brief review of basic statistics, and answers to the odd-numbered interpretation questions Twenty data sets on the book's CD along with a quick reference guide and how to make tables and figures.

This inexpensive paperback is intended as a supplemental text for advanced undergraduate or graduate courses on intermediate/advanced statistics and/or research methods taught in departments of psychology, education, human development, and other applied and health sciences, and/or for researchers in these areas looking to have a handy reference for SPSS.

Instructor's Resource materials are free upon adoption. View www.researchmethodsarena.com.

Includes bibliographical references and index.

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.

Dawson

Table of contents provided by Syndetics

  • 1 Introduction and Review of Basic Statistics With SPSS
  • 2 Data Coding and Exploratory Analysis (EDA)
  • 3 Several Measures of Reliability
  • 4 Exploratory Factor Analysis and Principal Components Analysis
  • 5 Selecting and Interpreting Inferential Statistics
  • 6 Multiple Regression
  • 7 Logistic Regression and Discriminant Analysis
  • 8 Factorial ANOVA and ANCOVA
  • 9 Repeated Measures and Mixed ANOVAs
  • 10 Multivariate Analysis of Variance (MANOVA) and Canonical Correlation
  • 11 Multilevel Linear Modeling/Hierarchical Linear Modeling