Reliability and Validity Assessment (Quantitative Applications in the Social Sciences)
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Data Analysis Using Regression and Multilevel/Hierarchical Models
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Understanding Regression Analysis: An Introductory Guide (Quantitative Applications in the Social Sciences)
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Interaction Effects in Multiple Regression (Quantitative Applications in the Social Sciences)
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Logistic Regression: A Primer (Quantitative Applications in the Social Sciences)
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Introduction to Factor Analysis: What It Is and How To Do It (Quantitative Applications in the Social Sciences)
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Multilevel Modeling (Quantitative Applications in the Social Sciences)
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Multiple Regression in Practice (Quantitative Applications in the Social Sciences)
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Regression Diagnostics: An Introduction (Quantitative Applications in the Social Sciences)
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Event History Analysis : Regression for Longitudinal Event Data (Quantitative Applications in the Social Sciences)
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Nonparametric Statistics: An Introduction (Quantitative Applications in the Social Sciences)
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Regression with Dummy Variables (Quantitative Applications in the Social Sciences)
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Principal Components Analysis (Quantitative Applications in the Social Sciences)
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Linear Probability, Logit, and Probit Models (Quantitative Applications in the Social Sciences)
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Interaction Effects in Logistic Regression (Quantitative Applications in the Social Sciences)
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Missing Data (Quantitative Applications in the Social Sciences)
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Factor Analysis: Statistical Methods and Practical Issues (Quantitative Applications in the Social Sciences)
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Multivariate Analysis of Variance (Quantitative Applications in the Social Sciences)
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Bootstrapping: A Nonparametric Approach to Statistical Inference (Quantitative Applications in the Social Sciences)
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Multidimensional Scaling (Quantitative Applications in the Social Sciences)
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Maximum Likelihood Estimation: Logic and Practice (Quantitative Applications in the Social Sciences)
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Cluster Analysis (Quantitative Applications in the Social Sciences)
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Time Series Analysis: Regression Techniques (Quantitative Applications in the Social Sciences)
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Understanding Robust and Exploratory Data Analysis
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Univariate Tests for Time Series Models (Quantitative Applications in the Social Sciences)
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Canonical Correlation Analysis: Uses and Interpretation (Quantitative Applications in the Social Sciences)
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Correlation: Parametric and Nonparametric Measures
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Analysis of Covariance (Quantitative Applications in the Social Sciences)
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Understanding Significance Testing (Quantitative Applications in the Social Sciences)
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Exploratory Data Analysis (Quantitative Applications in the Social Sciences)
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Secondary Analysis of Survey Data (Quantitative Applications in the Social Sciences)
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Bayesian Statistical Inference (Quantitative Applications in the Social Sciences)
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Confidence Intervals (Quantitative Applications in the Social Sciences)
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Multiple and Generalized Nonparametric Regression (Quantitative Applications in the Social Sciences)
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Effect Size for ANOVA Designs (Quantitative Applications in the Social Sciences)
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Statistical Graphics for Univariate and Bivariate Data (Quantitative Applications in the Social Sciences)
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Data Theory and Dimensional Analysis (Quantitative Applications in the Social Sciences)
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Measures of Association (Quantitative Applications in the Social Sciences)
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Statistical Graphics for Visualizing Multivariate Data (Quantitative Applications in the Social Sciences)
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Analysis of Nominal Data (Quantitative Applications in the Social Sciences)
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Analysis of Ordinal Data (Quantitative Applications in the Social Sciences)
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