Statistics for Social Data Analysis

Name: Statistics for Social Data Analysis
Price: 3.87 USD
Availability: InStock
ISBN: 9780875814483

ISBN-10: 0875814484

ISBN-13: 9780875814483

Edition: 4th 2002 (Revised)

Authors: George W. Bohrnstedt, David Knoke, Alisa Potter Mee

List price: $288.95

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The fourth edition of STATISTICS FOR SOCIAL DATA ANALYSIS continues to show students how to apply statistical methods to answer research questions in various fields. Throughout the text, the authors underscore the importance of formulating substantive hypotheses before attempting to analyze quantitative data. An important aspect of this text is its realistic, hands-on approach. Actual datasets are used in most examples, helping students understand and appreciate what goes into the research process. The book focuses on the continuous-discrete distinction in considering the level at which a variable is measured. Rather than dwelling on the four conventional levels-of-measurement distinctions,…

Book details

List price: $288.95
Edition: 4th
Copyright year: 2002
Publisher: Wadsworth
Publication date: 1/1/2002
Binding: Hardcover
Pages: 544
Size: 7.00" wide x 9.00" long x 1.00" tall
Weight: 2.244
Language: English

Davd Knoke (Ph.D., University of Michigan 1972) coauthored Network Analysis (1982) and has published fifteen books and more than a hundred articles and book chapters, primarily on organizations, networks, politics, and social statistics. He was principal co-investigator on several National Science Foundation-funded projects on voluntary associations, lobbying organizations in national policy domains, and organizational surveys of diverse establishments. A current project on the Global Information Sector examines strategic alliance network evolution among international corporations. At Minnesota, he teaches a graduate network analysis seminar that attracts students from diverse disciplines.



Preface



Basic Concepts and Measures



Statistics in the Research Process



Ideas into Research Projects



Concepts into Propositions



Variables into Hypotheses



Observations into Records



Data into Numbers



Statistical Analysis



The General Linear Model



Describing Variables



Frequency Distributions for Discrete and Continuous Variables



Grouped and Cumulative Distributions



Graphing Frequency Distributions



Measures of Central Tendency



Measures of Dispersion



Percentiles and Quantiles



Standardized Scores (Z Scores)



Exploratory Data Analysis Methods for Displaying Continuous Data



Statistical Inference



Making Statistical Inferences



Drawing Inferences About Populations from Samples



Some Basic Probability Concepts



Chebycheff's Inequality Theorem



The Normal Distribution



The Central Limit Theorem



Sample Point Estimates and Confidence Intervals



The t Distribution



Hypothesis Testing



Testing Hypotheses About Single Means



Properties of Estimators



The Chi-Square and F Distributions



Analyzing Bivariate Relationships



Analysis of Variance



The Logic of ANOVA



ANOVA Tables: Sums of Squares, Mean Squares, F Ratio



Tests for Two Means



The Correlation Ratio: Eta-Squared



Testing Differences Among Means (Post Hoc)



Analyzing Categoric Data



Bivariate Crosstabulation



Using Chi-Square to Test Significance



Measuring Association: Q, Phi, Gamma, Tau c, Somer's d[subscript yx]



Odds and Odds Ratios



Bivariate Regression and Correlation



Scatterplots and Regression Lines



Estimating a Linear Regression Equation



R-Square and Correlation



Significance Tests for Regression Parameters



Standardizing Regression Coefficients



Comparing Two Regression Equations



Multivariate Models



The Logic of Multivariate Contingency Analysis



Controlling Additional Variables



Controlling for a Third Variable in 2 x 2 Tables



The Partial Correlation Coefficient



Multiple Regression Analysis



An Example of a Three-Variable Regression Problem



The Three-Variable Regression Model



Multiple Regression with K Independent Variables



Significance Tests for Parameters



Comparing Nested Equations



Dummy Variable Regression: ANCOVA with Interactions



Comparisons Across Populations



Nonlinear and Logistic Regression



Nonlinear Regression



Dichotomous Dependent Variables



The Logistic Transformation and Its Properties



Estimating and Testing Logistic Regression Equations



The Multinomial-Logit Model



Advanced Topics



Log-Linear Analysis



Log-Linear Models for 2 x 2 Tables



Log-Linear Models for Three-Variable Tables



More Complex Models



Special Topics in Log-Linear Analysis



Causal Models and Path Analysis



Causal Assumptions



Causal Diagrams



Path Analysis



Structural Equation Models



Review of Correlation and Covariance



Reliability and Validity in Measurement Theory



Factor Analysis



Multiple-Indicator Casual Models



Models with Ordered Indicators


Appendices



The Use of Summations



Critical Values of Chi Square (table)



Areas Under the Normal Curve (table)



Student's t Distribution (table)



F Distribution (table)



Fisher's r-to-Z Transformation (table)


Glossary of Terms


List of Mathematical and Statistical Symbols


Answers to Problems


Index