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Research Methods, Statistics and Evaluation
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Statistical Software Supplements - R
New & Best-selling Titles
Moving from IBM® SPSS® to R and RStudio®
Easy R
A Guide to R for Social and Behavioral Science Statistics
An R Companion to Political Analysis
An R Companion for Applied Statistics I
An R Companion for Applied Statistics II
Research Methods, Statistics & Evaluation
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Introduction to Research Methods – Social Sciences (cross disciplinary)
Introduction to Statistics - Criminal Justice
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Introduction to Statistics - Psychology
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Introduction to Statistics – Behavioral Sciences (cross disciplinary)
Introduction to Statistics – Behavioral Sciences
Introduction to Statistics – Social Sciences (cross disciplinary)
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Quantitative Applications in the Social Sciences - Survey Design and Analysis
Quantitative Applications in the Social Sciences - Time Series Analysis
Reflexive Methodology
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Research Ethics
Research Methods Key Supplements: Statistical Software
Research Methods Key Supplements: Statistical Software – Excel
Research Methods Key Supplements: Statistical Software – Mplus
Research Methods Key Supplements: Statistical Software – R
Research Methods Key Supplements: Statistical Software – SPSS
Research Methods Key Supplements: Statistical Software – Stata
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Statistical Software Supplements - Excel®
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Use Python for statistical calculations, text mining, data visualization
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