IBM SPSS for Introductory Statistics: Use and Interpretation, Fourth Edition"Designed to help students analyze and interpret research data using IBM SPSS, this book describes the use of statistics in user-friendly, non-technical language to show readers how to choose the appropriate statistic based on the design, interpret output, and write about the results. The authors prepare readers for all of the steps in the research process, from design and data collection, to writing about the results. Discussions of writing about outputs, data entry and checking, reliability assessment, testing assumptions, and computing descriptive and inferential parametric and nonparametric statistics are included. SPSS syntax, along with the output, is provided for those who prefer this format"--Provided by publisher |
Contents
CHAPTER 1 Variables Research Problems and Questions | 1 |
CHAPTER 2 Data Coding Entry and Checking | 15 |
CHAPTER 3 Measurement and Descriptive Statistics | 37 |
CHAPTER 4 Understanding Your Data and Checking Assumptions | 54 |
CHAPTER 5 Data File Management and Writing About Descriptive Statistics | 74 |
CHAPTER 6 Selecting and Interpreting Inferential Statistics | 90 |
CHAPTER 7 CrossTabulation ChiSquare and Nonparametric Measures of Association | 109 |
CHAPTER 8 Correlation and Regression | 124 |
CHAPTER 10 Analysis of Variance ANOVA | 164 |
Getting Started and Other Useful SPSS Procedures | 185 |
Writing Research Problems and Questions | 195 |
Making Tables and Figures | 199 |
Answers to Odd Numbered Interpretation Questions | 213 |
| 224 | |
| 225 | |
CHAPTER 9 Comparing Two Groups With t Tests and Similar Nonparametric Tests | 148 |
Other editions - View all
IBM SPSS for Introductory Statistics: Use and Interpretation George A. Morgan No preview available - 2011 |
Common terms and phrases
algebra analysis approximately normally distributed association assumptions average boxplots cell Chapter chi-square Click on Continue Click on OK coefficient column Compare compute confidence interval Crosstabs Data Editor data file dependent Descriptive Statistics dichotomous variables difference effect size effect size measures ethnicity example Expected Count factorial ANOVA frequency distribution grad or less grades in h.s. grades in high groups high school HSB data independent variable indicates inferential statistics Interpretation of Output level of measurement listwise low math grades math achievement test math courses taken missing data missing value mother's multiple regression nominal data nominal variables normal curve normally distributed Note one-way ANOVA ordinal participants Pearson correlation Percent pleasure scale plot questionnaires Recode research questions retest scatterplot scholastic aptitude test skewness SPSS standard deviation statistically significant syntax test scores Value Labels Variable View variances visualization test window