SAGE, Oct 20, 2011 - Social Science - 429 pages
"The book is divided into three Parts: Part One has chapters that introduce data analysis and SPSS; Part Two contains eight chapters on descriptive statistics that begin with frequency tables and go through multiple regression; and Part Three includes six chapters on inferential statistics. Part One: Getting Started begins by answering some questions most students have right at the start © questions like why study data analysis and how much math and computer knowledge is required? Essential concepts from research methods relevant for data analysis are also explained. Part Two: Descriptive Statistics: Answering Questions about Your Data demonstrates procedures to use when the analyst is only concerned with describing the cases for which he or she actually has data. Statistics summarizing single variables (univariate statistics) are presented first and then statistics summarizing relationships between variables (multivariate statistics). Frequency tables, measures of central tendency, measures of dispersion, crosstabs, measures of association, subgroup means, and regression are all covered as are bar charts, pie charts, histograms, and clustered bar charts. Part Three: Inferential Statistics: Answering Questions about Populations explains procedures which allow the analyst to draw conclusions about the population from which his or her sample of cases was randomly selected. It begins with a simple chapter on the statistical theory behind inferential statistics. A four-step approach to hypothesis testing is introduced in the next chapter and demonstrated with one-sample t test hypotheses. The remaining chapters present different types of hypothesis tests including paired-samples, independent-samples, one and two-way ANOVA, and chi-square"--Provided by publisher.

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### Contents

 Chapter 1 Introduction 3 Chapter 2 Data Sets 27 Answering Questions About Your Data 63 Chapter 3 Frequency Tables and Univariate Charts 67 Chapter 4 Central Tendency and Dispersion 95 Chapter 5 Creating New Variables 129 Chapter 6 Comparing Group Means 159 Chapter 7 Crosstab Tables 175
 Answering Questions About Populations 261 Chapter 11 Sampling Distributions and Normal Distributions 265 Chapter 12 Hypothesis Testing and OneSample t Tests 291 Chapter 13 Paired and Independent Samples t Tests 315 Chapter 14 Analysis of Variance 339 Chapter 15 ChiSquare 367 Chapter 16 Hypothesis Testing With Measures of Association and Regression 389 Glossary 405

 Chapter 8 Nominal and Ordinal Measures of Association 195 Chapter 9 Pearsons Correlation and Bivariate Regression 217 Chapter 10 Multiple Regression 241