Read-alikes and related books

Books like Statistical Concepts for the Behavioral Sciences

24 titles for readers of Statistical Concepts for the Behavioral Sciences by Harold O. Kiess, selected for shared themes: Research & Methodology, Statistics, Probability & Statistics, and Research.

Research & Methodology Statistics Probability & Statistics Research Mathematics Psychology Juvenile Nonfiction Social Science History

Top related books to Statistical Concepts for the Behavioral Sciences

Strong read-alikes chosen for how closely they echo the themes and feel of Statistical Concepts for the Behavioral Sciences.

Statistics Using IBM SPSS An Integrative Approach — Sharon Lawner Weinberg

Statistics Using IBM SPSS An Integrative Approach

Sharon Lawner Weinberg

Themes: Research & Methodology • Statistics • Probability & Statistics

Complete Data Analysis Using R Your Applied Manual — Marco Lehmann

Complete Data Analysis Using R Your Applied Manual

Themes: Research & Methodology • Statistics • Probability & Statistics

Statistical Concepts A Second Course — Debbie L. Hahs-Vaughn

Statistical Concepts A Second Course

Debbie L. Hahs-Vaughn

Themes: Research & Methodology • Statistics • Probability & Statistics

Statistical Rethinking A Bayesian Course with Examples in R and Stan — Richard McElreath

Statistical Rethinking A Bayesian Course with Examples in R and Stan

Richard McElreath

Themes: Research & Methodology • Statistics • Probability & Statistics

Critical Statistics Seeing Beyond the Headlines — Robert de Vries

Critical Statistics Seeing Beyond the Headlines

Robert de Vries

Themes: Research & Methodology • Statistics • Probability & Statistics

Interrupted Time Series Analysis — David McDowall

Interrupted Time Series Analysis

Themes: Research & Methodology • Statistics • Probability & Statistics

Applied Multivariate Research Design and Interpretation — Lawrence S. Meyers

Applied Multivariate Research Design and Interpretation

Lawrence S. Meyers

Themes: Research & Methodology • Statistics • Probability & Statistics

Using R for Item Response Theory Model Applications — Insu Paek (Professor of measurement and statistics)

Using R for Item Response Theory Model Applications

Insu Paek (Professor of measurement and statistics)

Themes: Research & Methodology • Statistics • Probability & Statistics

How to Use Pasw Statistics A Step-By-Step Guide to Analysis and Interpretation — Brian C. Cronk

How to Use Pasw Statistics A Step-By-Step Guide to Analysis and Interpretation

Themes: Research & Methodology • Statistics • Probability & Statistics

Multilevel and Longitudinal Modeling with IBM SPSS — Ronald H. Heck

Multilevel and Longitudinal Modeling with IBM SPSS

Themes: Research & Methodology • Statistics • Probability & Statistics

Latent Variable Modeling Using R A Step by Step Guide — A. Alexander Beaujean

Latent Variable Modeling Using R A Step by Step Guide

A. Alexander Beaujean

Themes: Research & Methodology • Statistics • Probability & Statistics

Statistics in Plain English — Timothy C. Urdan

Statistics in Plain English

Timothy C. Urdan

Themes: Research & Methodology • Statistics • Probability & Statistics

Making Sense of Multivariate Data Analysis An Intuitive Approach — John Spicer

Making Sense of Multivariate Data Analysis An Intuitive Approach

Themes: Research & Methodology • Statistics • Probability & Statistics

A Conceptual Guide to Statistics Using SPSS — Elliot T. Berkman

A Conceptual Guide to Statistics Using SPSS

Elliot T. Berkman

Themes: Research & Methodology • Statistics • Probability & Statistics

Sampling Design and Analysis — Sharon L. Lohr

Sampling Design and Analysis

Themes: Research & Methodology • Statistics • Probability & Statistics

Calling Bullshit The Art of Scepticism in a Data-Driven World — Carl T. Bergstrom

Calling Bullshit The Art of Scepticism in a Data-Driven World

Carl T. Bergstrom

Themes: Research & Methodology • Statistics • Probability & Statistics

Analysis of Multivariate Social Science Data — David J. Bartholomew

Analysis of Multivariate Social Science Data

David J. Bartholomew

Themes: Research & Methodology • Statistics • Probability & Statistics

Stochastic Musings Perspectives from the Pioneers of the Late 20th Century — John Panaretos

Stochastic Musings Perspectives from the Pioneers of the Late 20th Century

Themes: Research & Methodology • Statistics • Probability & Statistics

Multivariate Analysis for the Behavioral Sciences — Kimmo Vehkalahti

Multivariate Analysis for the Behavioral Sciences

Kimmo Vehkalahti

Themes: Research & Methodology • Statistics • Probability & Statistics

The Model Thinker What You Need to Know to Make Data Work for You — Scott E. Page

The Model Thinker What You Need to Know to Make Data Work for You

Themes: Statistics • Probability & Statistics • Research

Data Analytics for the Social Sciences Applications in R — G. David Garson

Data Analytics for the Social Sciences Applications in R

G. David Garson

Themes: Research & Methodology • Probability & Statistics • Research

Models for Non-Modelers Understanding the Use of Models for Social Scientists and Others — Göran Djurfeldt

Models for Non-Modelers Understanding the Use of Models for Social Scientists and Others

Göran Djurfeldt

Themes: Research & Methodology • Probability & Statistics • Research

Factfulness Ten Reasons We’re Wrong About the World–and Why Things Are Better Than You Think — Hans Rosling

Factfulness Ten Reasons We’re Wrong About the World–and Why Things Are Better Than You Think

Themes: Statistics • Probability & Statistics • Research

SPSS Survival Manual A Step by Step Guide to Data Analysis Using IBM SPSS — Julie Pallant

SPSS Survival Manual A Step by Step Guide to Data Analysis Using IBM SPSS

Themes: Statistics • Probability & Statistics • Research

This list brings together 24 books that share meaningful common ground with Statistical Concepts for the Behavioral Sciences by Harold O. Kiess. Connected by Research & Methodology, Statistics, Probability & Statistics. Authors featured include Sharon Lawner Weinberg, Marco Lehmann, Debbie L. Hahs-Vaughn, Richard McElreath, and others. Each pick was selected for thematic and literary overlap — not just genre similarity.

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