Online Read Ebook Data Analysis for the Social Sciences: Integrating Theory and

07 April 2024

Views: 33

Book Data Analysis for the Social Sciences: Integrating Theory and Practice PDF Download - Douglas Bors

Download ebook ➡ http://ebooksharez.info/pl/book/488825/827

Data Analysis for the Social Sciences: Integrating Theory and Practice
Douglas Bors
Page: 664
Format: pdf, ePub, mobi, fb2
ISBN: 9781446298480
Publisher: SAGE Publications

Download or Read Online Data Analysis for the Social Sciences: Integrating Theory and Practice Free Book (PDF ePub Mobi) by Douglas Bors
Data Analysis for the Social Sciences: Integrating Theory and Practice Douglas Bors PDF, Data Analysis for the Social Sciences: Integrating Theory and Practice Douglas Bors Epub, Data Analysis for the Social Sciences: Integrating Theory and Practice Douglas Bors Read Online, Data Analysis for the Social Sciences: Integrating Theory and Practice Douglas Bors Audiobook, Data Analysis for the Social Sciences: Integrating Theory and Practice Douglas Bors VK, Data Analysis for the Social Sciences: Integrating Theory and Practice Douglas Bors Kindle, Data Analysis for the Social Sciences: Integrating Theory and Practice Douglas Bors Epub VK, Data Analysis for the Social Sciences: Integrating Theory and Practice Douglas Bors Free Download

Overview
Data Analysis for the Social Sciences: Integrating Theory and Practice by Douglas Bors Accessible, engaging, and informative, this text will help any social science student approach statistics with confidence.

With a well-paced and well-judged integrated approach rather than a simple linear trajectory, this book progresses at a realistic speed that matches the pace at which statistics novices actually learn. Packed with global, interdisciplinary examples that ground statistical theory and concepts in real-world situations, it shows readers not only how to apply newfound knowledge using IBM® SPSS® Statistics, but also why they would want to. Spanning statistics basics like variables, constants, and sampling to t-tests, multiple regression, and factor analysis, it builds statistical literacy while also covering key research principles like research questions, error types, and results reliability.

Readers will learn how to:
Describe data with graphs, tables, and numbers Calculate probability and value distributions Test a priori and post hoc hypotheses Conduct Chi-squared tests and observational studies Structure ANOVA, ANCOVA, and factorial designs

Supported by extensive visuals and a companion website with interactive demonstrations, author video, and practice datasets, this book is the student-focused companion to support learners through their statistics journeys.

Share