Elementary statistics in social research
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書誌事項
Elementary statistics in social research
Allyn & Bacon, c2010
11th ed, international ed
- : pbk
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注記
Includes index
内容説明・目次
内容説明
This best-selling introduction to statistical analysis in the social sciences provides the right balance of conceptual understanding and step-by-step computational techniques.
目次
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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