Sense Publishers, 2017. — 223 p.
This book focuses on the extraction of pertinent information from statistical test outputs, to writing result sections and/or accompanying tables and/or figures. The book is divided into two encompassing sections: Part I – Basic Statistical Tests and Part II – Advanced Statistical Tests. Part I includes 9 basic statistical tests, and Part II includes 7 advanced statistical tests. Each chapter provides the name of a basic or advanced statistical test, a brief description, examples of when to use each, a sample scenario, and a sample results section write-up. Depending on the test and need, most chapters provide a table and/or figure to accompany the write-up. The purpose of the book is to provide researchers with a reference manual for writing results sections and tables/figures in scholarly works. The authors fill a gap in research support manuals by focusing on sample write-ups and tables/figures for given statistical tests. The book assists researchers by eliminating the need to comb through numerous publications to determine the necessary information to report, as well as the correct APA format to use, at the close of analyses.
Descriptive Statistics.
One-Sample T-Test.
Independent Samples T-Test.
Paired Samples T-Test.
One-Way Anova.
Factorial Anova.
Manova.
Linear Regression.
Multiple Regression.
Hierarchical Multiple Regression Analysis Using at Least Two Sets of Variables (In Two Blocks).
Multiple Regression with Two Continuous Predictors and the Interactions Between Them.
Two or Three Factor Crossed Anova.
ATI Analysis (ANCOVA with Interaction).
Multiple Regression with at Least Three Predictors.
Structural Equation Model Analysis with at Least One Indirect Path.
Manova and Follow-Up Discriminant Analysis with at Least Three Groups and Four Independent Variables.