A Guide to R for Social and Behavioral Science Statistics

A Guide to R for Social and Behavioral Science Statistics
Author: Brian Joseph Gillespie
Publisher: Sage Publications, Incorporated
Total Pages: 304
Release: 2020-03-10
Genre: Mathematics
ISBN: 9781544344027

A short, accessible book for learning R, this text follows the most common progression of statistics for social scientists. Written as a companion book to be used alongside a larger introductory statistics text, this guide also services as a companion for conducting data analysis in a research methods course or as a stand-alone R and statistics text. With frequent reminders of basic statistical concepts to accompany instructions in R, the guide can teach anyone to how to use R for statistics.

Introduction to R for Social Scientists

Introduction to R for Social Scientists
Author: Ryan Kennedy
Publisher: CRC Press
Total Pages: 198
Release: 2021-02-23
Genre: Mathematics
ISBN: 1000353850

Introduction to R for Social Scientists: A Tidy Programming Approach introduces the Tidy approach to programming in R for social science research to help quantitative researchers develop a modern technical toolbox. The Tidy approach is built around consistent syntax, common grammar, and stacked code, which contribute to clear, efficient programming. The authors include hundreds of lines of code to demonstrate a suite of techniques for developing and debugging an efficient social science research workflow. To deepen the dedication to teaching Tidy best practices for conducting social science research in R, the authors include numerous examples using real world data including the American National Election Study and the World Indicators Data. While no prior experience in R is assumed, readers are expected to be acquainted with common social science research designs and terminology. Whether used as a reference manual or read from cover to cover, readers will be equipped with a deeper understanding of R and the Tidyverse, as well as a framework for how best to leverage these powerful tools to write tidy, efficient code for solving problems. To this end, the authors provide many suggestions for additional readings and tools to build on the concepts covered. They use all covered techniques in their own work as scholars and practitioners.

A Guide to R for Social and Behavioral Science Statistics

A Guide to R for Social and Behavioral Science Statistics
Author: Brian Joseph Gillespie
Publisher: SAGE Publications
Total Pages: 305
Release: 2020-02-07
Genre: Business & Economics
ISBN: 1544344031

Geared toward social and behavioural statistics students, especially those with no background in computer science, this handy guide contains basic information on statistics in the R language.

Essentials of Statistics for the Social and Behavioral Sciences

Essentials of Statistics for the Social and Behavioral Sciences
Author: Barry H. Cohen
Publisher: John Wiley & Sons
Total Pages: 312
Release: 2004
Genre: Psychology
ISBN:

Summarizing the material ordinarily covered in an introductory statistics course, this handbook introduces basic concepts and statistical methods. It also offers practical advice concerning the selection of procedures, demonstrates the means of evaluating and interpreting data, provides numerous formulas, and supplies a variety of worked examples. The authors teach psychology at New York University and Macalester College. Annotation ♭2004 Book News, Inc., Portland, OR (booknews.com).

Using Basic Statistics in the Behavioral and Social Sciences

Using Basic Statistics in the Behavioral and Social Sciences
Author: Annabel Ness Evans
Publisher: SAGE Publications
Total Pages: 605
Release: 2013-06-06
Genre: Social Science
ISBN: 1483323617

In this fully updated edition of Using Basic Statistics in the Behavioral and Social Sciences, Annabel Ness Evans presents introductory statistics in a practical, conceptual, and humorous way, reducing the anxiety that many students experience in introductory courses. Avoiding complex notation and derivations, the book focuses on helping readers develop an understanding of the underlying logic of statistics, rather than rote memorization. Focus on Research boxes engage students with realistic applications of statistics, and end-of-chapter exercises ensure student comprehension. This exciting new edition includes a greater number of realistic and engaging global examples within the social and behavioral sciences, making it ideal for use within many departments or in interdisciplinary settings.

Becoming a Behavioral Science Researcher

Becoming a Behavioral Science Researcher
Author: Rex B. Kline
Publisher: Guilford Press
Total Pages: 383
Release: 2008-08-21
Genre: Psychology
ISBN: 1606235966

This book has been replaced by Becoming a Behavioral Science Researcher, Second Edition, ISBN 978-1-4625-3879-9.

Network Psychometrics with R

Network Psychometrics with R
Author: Adela-Maria Isvoranu
Publisher: Taylor & Francis
Total Pages: 261
Release: 2022-04-28
Genre: Psychology
ISBN: 100054107X

A systematic, innovative introduction to the field of network analysis, Network Psychometrics with R: A Guide for Behavioral and Social Scientists provides a comprehensive overview of and guide to both the theoretical foundations of network psychometrics as well as modelling techniques developed from this perspective. Written by pioneers in the field, this textbook showcases cutting-edge methods in an easily accessible format, accompanied by problem sets and code. After working through this book, readers will be able to understand the theoretical foundations behind network modelling, infer network topology, and estimate network parameters from different sources of data. This book features an introduction on the statistical programming language R that guides readers on how to analyse network structures and their stability using R. While Network Psychometrics with R is written in the context of social and behavioral science, the methods introduced in this book are widely applicable to data sets from related fields of study. Additionally, while the text is written in a non-technical manner, technical content is highlighted in textboxes for the interested reader. Network Psychometrics with R is ideal for instructors and students of undergraduate and graduate level courses and workshops in the field of network psychometrics as well as established researchers looking to master new methods. This book is accompanied by a companion website with resources for both students and lecturers.

Longitudinal Data Analysis for the Behavioral Sciences Using R

Longitudinal Data Analysis for the Behavioral Sciences Using R
Author: Jeffrey D. Long
Publisher: SAGE
Total Pages: 569
Release: 2012
Genre: Mathematics
ISBN: 1412982685

This book is a practical guide for the analysis of longitudinal behavioural data. Longitudinal data consist of repeated measures collected on the same subjects over time.

Statistics for the Behavioral Sciences

Statistics for the Behavioral Sciences
Author: Susan A. Nolan
Publisher: Macmillan
Total Pages: 710
Release: 2011-02
Genre: Mathematics
ISBN: 142923265X

Nolan and Heinzen’s engaging introduction to statistics has captivated students with its easy readability and vivid examples drawn from everyday life. The mathematics of statistical reasoning are made accessible with careful explanations and a helpful three-tier approach to working through exercises: Clarifying the Concepts, Calculating the Statistics, and Applying the Concepts. New pedagogy, end-of-chapter material, and the groundbreaking learning space StatsPortal give students even more tools to help them master statistics than ever before.