Statistical Test Theory For The Behavioral Sciences
Download Statistical Test Theory For The Behavioral Sciences PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Statistical Test Theory For The Behavioral Sciences book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Statistical Test Theory for the Behavioral Sciences
Since the development of the first intelligence test in the early 20th century, educational and psychological tests have become important measurement techniques to quantify human behavior. Focusing on this ubiquitous yet fruitful area of research, Statistical Test Theoryfor the Behavioral Sciences provides both a broad overview and a
Statistical Power Analysis for the Behavioral Sciences
Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.
Statistical Analysis in the Behavioral Sciences
Author: James C. Raymondo
language: en
Publisher: McGraw-Hill Humanities, Social Sciences & World Languages
Release Date: 1999
This text is written for a one-semester introduction to statistical analysis course in sociology, criminal justice, social work, or psychology in which students will be exposed to the basic concepts and procedures in statistical analysis as it is applied in the social sciences. In Statistical Analysis in the Behavioral Sciences, Raymondo offers a text that provides clear and student-friendly explanations of statistical concepts, in which as much emphasis is placed on the purpose and interpretation of statistical analysis as on the traditional approach of how to perform statistical procedures. Through his clear and conversational writing style, by going beyond a surface interpretation, and by using "real-life" data, Raymondo sparks students' interest and understanding.