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Elementary statistics in social research.

Author: Jack Levin; James Alan Fox; David R Forde
Publisher: Upper Saddle River, N.J. ; Harlow : Pearson Education, ©2009.
Edition/Format:   Print book : English : 11th ed.View all editions and formats
Database:WorldCat
Summary:

This best-selling introduction to statistical analysis in the social sciences provides the right balance of conceptual understanding and step-by-step computational techniques.

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Document Type: Book
All Authors / Contributors: Jack Levin; James Alan Fox; David R Forde
ISBN: 9780205636921 0205636926
OCLC Number: 295000606
Notes: Previous edition: Boston, Mass.: Pearson Allyn and Bacon, 2006.
Includes index.
Description: xiv, 554 pages : illustrations ; 24 cm
Contents: IN THIS SECTION: 1.) BRIEF 2.) COMPREHENSIVE BRIEF TABLE OF CONTENTS: Chapter 1 Why the Social Researcher Uses Statistics PART ONE: Description Chapter 2 Organizing the Data Chapter 3 Measures of Central Tendency Chapter 4 Measures of Variability PART TWO: From Description to Decision Making Chapter 5 Probability and the Normal Curve Chapter 6 Samples and Populations PART THREE: Decision Making Chapter 7 Testing Differences between Means Chapter 8 Analysis of Variance Chapter 9 Nonparametric Tests of Significance PART FOUR: From Decision Making to Association Chapter 10 Correlation Chapter 11 Regression Analysis Chapter 12 Nonparametric Measures of Correlation PART FIVE: Applying Statistics Chapter 13 Choosing Statistical Procedures for Research Problems APPENDICES Appendix A Introduction to SPSS Appendix B A Review of Some Fundamentals of Mathematics Appendix C Tables Appendix D List of Formulas Glossary Answers to Problems Index COMPREHENSIVE TABLE OF CONTENTS: (All chapters end with Summary, Terms to Remember, and Questions & Problems) Chapter 1 Why the Social Researcher Uses Statistics - The Nature of Social Research - Why Test Hypotheses? - The Stages of Social Research - Using Series of Numbers to Do Social Research - The Functions of Statistics PART ONE: Description Chapter 2 Organizing the Data - Frequency Distributions of Nominal Data - Comparing Distributions - Proportions and Percentages - Ratios and Rates - Simple Frequency Distributions of Ordinal and Interval Data - Grouped Frequency Distributions of Interval Data - Cumulative Distributions - Percentile Ranks - Dealing with Decimal Data - More on Class Limits - Flexible Class Intervals - Cross-Tabulations - Graphic Presentations Chapter 3 Measures of Central Tendency - The Mode - The Median - The Mean - Taking One Step at a Time - Obtaining the Mode, Median, and Mean from a Simple Frequency Distribution - Comparing the Mode, Median, and Mean Chapter 4 Measures of Variability - The Range - The Inter-Quartile Range - The Variance and Standard Deviation - The Raw-Score Formula for Variance and Standard Deviation - Obtaining the Variance and Standard Deviation from a Simple Frequency Distribution - The Meaning of the Standard Deviation - Comparing Measures of Variability - Visualizing Distributions PART TWO: From Description to Decision Making Chapter 5 Probability and the Normal Curve - Rules of Probability - Probability Distributions - The Normal Curve as a Probability Distribution - Characteristics of the Normal Curve - The Model and the Reality of the Normal Curve - The Area under the Normal Curve - Standard Scores and the Normal Curve - Finding Probability under the Normal Curve Chapter 6 Samples and Populations - Sampling Methods - Sampling Error - Sampling Distribution of Means - Standard Error of the Mean - Practical and Statistical: Weigh It Again, Sam - Confidence Intervals - The t Distribution - Estimating Proportions PART THREE: Decision Making Chapter 7 Testing Differences between Means - The Null Hypothesis: No Difference between Means - The Research Hypothesis: A Difference between Means - Sampling Distribution of Differences between Means - Testing Hypotheses with the Distribution of Differences between Means - Levels of Significance - Standard Error of the Difference between Means - Testing the Difference between Means - Comparing Related Samples - Two Sample Test of Proportions - One-Tailed Tests - Requirements for Testing the Difference between Means Chapter 8 Analysis of Variance - The Logic of Analysis of Variance - The Sum of Squares - Mean Square - The F Ratio - A Multiple Comparison of Means - Two-Way Analysis of Variance - Requirements for Using the F Ratio Chapter 9 Nonparametric Tests of Significance - One-Way Chi-Square Test - Two-Way Chi-Square Test - The Median Test PART FOUR: From Decision Making to Association Chapter 10 Correlation - Strength of Correlation - Direction of Correlation - Curvilinear Correlation - The Correlation Coefficient - Pearson's Correlation Coefficient - The Importance of Scatter Plots - Partial Correlation Chapter 11 Regression Analysis - The Regression Model - Interpreting the Regression Line - Prediction Errors - Regression and Pearson's Correlation - Regression and Analysis of Variance - Multiple Regression - Logistic Regression Chapter 12 Nonparametric Measures of Correlation - Spearman's Rank-Order Correlation Coefficient - Goodman's and Kruskal's Gamma - Correlation Coefficient for Nominal Data Arranged in a 2 ? 2 Table - Correlation Coefficients for Nominal Data in Larger than 2 X 2 Tables PART FIVE: Applying Statistics Chapter 13 Choosing Statistical Procedures for Research Problems - Research Situations - Research Solutions APPENDICES Appendix A Introduction to SPSS Appendix B A Review of Some Fundamentals of Mathematics Appendix C Tables Appendix D List of Formulas Glossary Answers to Problems Index

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