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R Companion for Applied Statistics I: Basic Bivariate Techniques

Logistic regression: a primer - 132

R Companion to Applied Regression

Guide to R for Social and Behavioral Science Statistics

Using time series to analyze long range fractal patterns

Using Time Series to Analyze Long Range Fractal Patterns

Regression Diagnostics: An Introduction - 79

Practical propensity score methods using R

Statistics: A Gentle Introduction

Essentials of social statistics for a diverse society

Statistics Alive!

Statistics Alive!

Student Study Guide to Accompany Statistics Alive!, Third Edition, Wendy J. Steinberg, Matthew Price

A Guide to R for Social and Behavioral Science Statistics

Spatial Regression Models for the Social Sciences - 14

Spatial regression models for the social sciences - 14

Multilevel modeling: applications in STATA, IBM, SPSS, SAS, R, & HLM

Multilevel structural equation modeling - 179

Student Study Guide to Accompany Statistics Alive!, Third Edition, Wendy J. Steinberg, Matthew Price

Statistics for Criminology and Criminal Justice

Exploratory Factor Analysis - 182

Statistics for Human Service Evaluation

Best practices in logistic regression

Generalizing the regression model: techniques for longitudinal and contextual analysis

Fundamental Statistics for the Social and Behavioral Sciences

Logistic Regression: A Primer - 132

The Tao of Statistics: A Path to Understanding (With No Math)

Regression & Linear Modeling: Best Practices and Modern Methods

Multilevel Modeling: Applications in Stata, IBM. SPSS, SAS, R & HLM

Regression diagnostics: an introduction - 79

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