Data Analysis by Michael S Lewis-Beck
Written at a level appropriate for the advanced undergraduate course on data analysis, this accessible volume introduces the reader to the "art" of data analysis from data-gathering to multiple regression in which a dependent variable is influenced by several independent variables. The book focuses on the interpretation of a statistical result, in particular those that come from non-experimental social research. Using a consistent data set throughout the book in order to illustrate the various analytic techniques, the author covers such topics as univariate statistics, measures of association, the statistical significance of the relationship between two variables, and simple regression where the dependent variable is influenced by a single independent variable. The last chapter offers analysis recommendations. Data Analysis will provide social science researchers with the tools to select and evaluate statistical tests appropriate for their particular research question.-
Survey Questions
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Q Methodology
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Logistic Regression
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Reliability and Validity Assessment
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Latent Class Analysis
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ANOVA
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Nonparametric Statistics
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Factor Analysis
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Exploratory Data Analysis
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Introduction to Factor Analysis
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Interpreting and Using Regression
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Understanding Regression Analysis
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Bayesian Statistical Inference
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Applied Logistic Regression Analysis
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Multiple Regression in Practice
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Discriminant Analysis
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Confirmatory Factor Analysis
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Applied Regression
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Missing Data
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Introduction to the Laws of Statistical Sampling
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Multiple Time Series Models
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Random Factors in ANOVA
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Logit Modeling
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Loglinear Models with Latent Variables
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Contextual Analysis
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Neural Networks
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Ordinal Log-Linear Models
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Social Choice
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Stochastic Parameter Regression Models
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Analytic Mapping and Geographic Databases
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Probability Theory
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Univariate Tests for Time Series Models
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Introduction to Applied Demography
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Data Theory and Dimensional Analysis
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Nonrecursive Causal Models
Michael S. Lewis-Beck is F. Wendell Miller Distinguished Professor of Political Science at the University of Iowa, and holds a Ph.D. from the University of Michigan. His interests are comparative elections, election forecasting, political economy, and quantitative methodology. He has been designated the 4th most cited political scientist since 1940, in the field of methodology. Professor Lewis-Beck has authored or co-authored over 240 articles and books, including Applied Regression: An Introduction, Data Analysis: An Introduction, Economics and Elections: The Major Western Democracies, Forecasting Elections, The American Voter Revisited and French Presidential Elections. He has served as an Editor of the American Journal of Political Science, the Sage QASS series (the green monographs) in quantitative methods and The Sage Encyclopedia of Social Science Research Methods. Currently he is Associate Editor of International Journal of Forecasting and Associate Editor of French Politics. In spring 2012, he held the position of Paul Lazersfeld University Professor at the University of Vienna. During the fall of 2012, he was Visiting Professor at Center for Citizenship and Democracy, University of Leuven (KU Leuven), Belgium. In spring 2013, Professor Lewis-Beck was Visiting Scholar, Centennial Center, American Political Science Association, Washington, D.C. During fall 2013, he served as Visiting Professor, Faculty of Law and Political Science, Universidad Autónoma de Madrid, Spain. In spring, 2014, he was Visiting Scholar, Department of Political Science, University of Göteborg, Sweden. For fall, 2014, he served as a Visiting Professor at LUISS University, Rome. At present, he is co-authoring a book on how Latin Americans vote.
| SKU | Unavailable |
| ISBN 13 | 9780803957725 |
| ISBN 10 | 0803957726 |
| Title | Data Analysis |
| Author | Michael S Lewis-Beck |
| Series | Quantitative Applications In The Social Sciences |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Sage Publications, Inc |
| Year published | 1995-03-13 |
| Number of pages | 88 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |