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This book distinguishes itself from other SPSS resources through its unique integration of the research process (including design) and the use and interpretation of the statistics. Designed to help students analyze and interpret research data, the authors demonstrate how to choose the appropriate statistic based on the research design, interpret SPSS output, and write about the output in a research paper. The authors describe the use and interpretation of these statistics in user-friendly, non-technical language. The book prepares students for all of the steps in the research process, from design and data collection, to writing about the results. The new edition features SPSS 14.0 for Windows, but can also be used with older and newer versions. There are also new problems, expanded discussions of effect sizes, and an expanded appendix on getting started with SPSS. The book features discussions of writing about outputs, data entry and checking, reliability assessment, testing assumptions, and descriptive, inferential, and nonparametric statistics. Several related statistics are included in each chapter. SPSS syntax, along with the output, is included for those who prefer this format. Two realistic data sets are available on the book's CD and are used to solve the end of chapter problems.

SPSS for Introductory Statistics, Third Edition, provides these helpful teaching tools:

* All of the key SPSS windows needed to perform the analyses

* Complete outputs with call-out boxes to highlight key points

* Interpretation sections and questions to help students better understand the output

* Lab assignments organized the way students proceed when they conduct a research project

* Extra SPSS problems for practice in running and interpreting SPSS

* Helpful appendices on how to get started with SPSS, write research questions, and create tables and figures.

This book is an ideal supplement for courses in either statistics or research methods taught in departments of psychology, education, and other social and health sciences. The Instructor's Resource CD features PowerPoint slides and answers to and additional information on the questions and problems.

Tabla de contenidos provista por Syndetics

• Preface(p. viii)
• 1 Variables, Research Problems and Questions(p. 1)
• Research Problems
• Variables
• Research Hypotheses and Questions
• A Sample Research Problem: The Modified High School and Beyond (HSB) Study
• Interpretation Questions
• 2 Data Coding, Entry, and Checking(p. 15)
• Plan the Study, Pilot Test, and Collect Data
• Code Data for Data Entry
• Problem 2.1. Check the Completed Questionnaires
• Problem 2.2. Define and Label the Variables
• Problem 2.3. Display Your Dictionary or Codebook
• Problem 2.4. Enter Data
• Problem 2.5. Run Descriptive and Check the Data
• Interpretation Questions
• Extra SPSS Problems
• 3 Measurement and Descriptive Statistics(p. 36)
• Frequency Distributions
• Levels of Measurement
• Descriptive Statistics and Plots
• The Normal Curve
• Interpretation Questions
• 4 Understanding Your Data and Checking Assumptions(p. 51)
• Exploratory Data Analysis (EDA)
• Problem 4.1. Descriptive Statistics for the Ordinal and Scale Variables
• Problem 4.2. Box Plots for One Variable and Multiple Variables
• Problem 4.3. Box Plots Split by a Dichotomous Variable
• Problem 4.4. Descriptives for Dichotomous Variables
• Problem 4.5. Frequency Tables a few Variables
• Interpretation Questions
• Extra SPSS Problems
• 5 Data File Management(p. 69)
• Problem 5.1. Count Math Courses Taken
• Problem 5.2. Recode and Relabel, Mother's and Father's Education
• Problem 5.3. Recode and Compute Pleasure Scale Score
• Problem 5.4. Compute Parent's Revised Education with the Mean Command
• Problem 5.5. Check for Errors and Normality for a Few Variables
• Saving the Updated HSB Data File
• Interpretation Questions
• Extra SPSS Problems
• 6 Selecting and Interpreting Inferential Statistics(p. 80)
• General Design Classifications for the Difference Questions
• 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
• Writing About your Outputs
• Conclusion
• Interpretation Questions
• 7 Cross Tabulation, Chi-Square, and Nonparametric Measures of Association(p. 99)
• Problem 7.1. Chi-square and Phi (or Cramer's V)
• Problem 7.2. Other (Nonparametric) Associational Statistics
• Problem 7.3. Cross-tabulation and Eta
• Problem 7.4. Cohen's Kappa for Reliability with Nominal Data
• Interpretation Questions
• Extra SPSS Problems
• 8 Correlation and Regression(p. 111)
• Problem 8.1. Scatterplots to Check Assumptions
• Problem 8.2. Bivariate Pearson and Spearman Correlations
• Problem 8.3. Correlation Matrix for Several Variables
• Problem 8.4. Internal Consistency Reliability with Cronbach's Alpha
• Problem 8.5. Bivariate or Simple Linear Regression
• Problem 8.6. Multiple Regression
• Interpretation Questions
• Extra SPSS Problems
• 9 Comparing Groups with t Tests and Similar Nonparametric Tests(p. 134)
• Problem 9.1. One-Sample t Test
• Problem 9.2. Independent Samples t Test
• Problem 9.3. The Nonparametric Mann-Whitney U Test
• Problem 9.4. Paired Samples t Test
• Problem 9.5. Using the Paired t Test to Check Reliability
• Problem 9.6. Nonparametric Wilcoxon Test for Two Related Samples
• Interpretation Questions
• Extra SPSS Problems
• 10 Analysis of Variance (ANOVA)(p. 148)
• Problem 10.1. One-Way (or Single Factor) ANOVA
• Problem 10.2. Post Hoc Multiple Comparisons Tests
• Problem 10.3. Nonparametric Kruskal-Wallis Test
• Problem 10.4. Two-Way (or Factorial) ANOVA
• Interpretation Questions
• Extra SPSS Problems
• Appendices
• A. Quick Reference Guide to SPSS Procedures Joan Naden Clay and Laura Jensen(p. 165)
• B. Writing Research Problems and Questions(p. 176)
• C. Getting Started with SPSS and Printing the Syntax(p. 180)
• D. Making Tables and Figures Don Quick(p. 184)
• E. Answers to Odd Numbered Interpretation Questions(p. 197)
• For Further Reading(p. 206)
• Index(p. 207)