Statistical Concepts - A Second Course

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A01=Debbie L. Hahs-Vaughn
A01=Richard G. Lomax
advanced regression mediation moderation
analysis of variance
ANCOVA Model
ANOVA linear models
ANOVA Model
ANOVA Summary Table
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Author_Debbie L. Hahs-Vaughn
Author_Richard G. Lomax
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button
Category=GPS
Category=JMB
Category=JNM
dialog
Dialog Box
effect size
effect size calculation
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factor analysis
factorial analysis
false negative errors
false positive errors
Family-wise Error Rate
Fix Effect ANOVA
fixed-effects model
General linear model
GPA
hierarchical models
hypothesis
linear regression
Linear Regression Dialog Box
logistic regression
logistic regression analysis
MCPs
MMR
MS AB
Multiple Linear Regression
Nested Factor
Original Dialog Box
partial
Post Hoc
Random Assignment
Random Effect ANOVA
randomized block design
Regression Model
regression models
Repeated Measures
Repeated Measures Dialog Box
Semipartial Correlation
sensitivity
sensitivity specificity statistics
specificity
split
Split Plot ANOVA
square
statistical concepts
statistical methods
statistics
textbooks
Tukey HSD
Undergraduate GPA
Univariate Dialog Box
Variance models

Product details

  • ISBN 9780367204044
  • Weight: 1610g
  • Dimensions: 178 x 254mm
  • Publication Date: 28 Jan 2020
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Statistical ConceptsA Second Course presents the last 10 chapters from An Introduction to Statistical Concepts, Fourth Edition. Designed for second and upper-level statistics courses, this book highlights how statistics work and how best to utilize them to aid students in the analysis of their own data and the interpretation of research results.

In this new edition, Hahs-Vaughn and Lomax discuss sensitivity, specificity, false positive and false negative errors. Coverage of effect sizes has been expanded upon and more organizational features (to summarize key concepts) have been included. A final chapter on mediation and moderation has been added for a more complete presentation of regression models. In addition to instructions and screen shots for using SPSS, new to this edition is annotated script for using R.

This book acts as a clear and accessible instructional tool to help readers fully understand statistical concepts and how to apply them to data. It is an invaluable resource for students undertaking a course in statistics in any number of social science and behavioral science disciplines.

Debbie L. Hahs-Vaughn is Professor of Methodology, Measurement, and Analysis at the University of Central Florida, US. Her research primarily relates to methodological issues when analyzing, and applied research using, complex sample data.

Richard G. Lomax is Professor Emeritus of Educational and Human Ecology at The Ohio State University, US, and former Associate Dean for Research and Administration. His research primarily focuses on early literacy and statistics.

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