Doing Statistical Mediation and Moderation

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A01=David P MacKinnon
A01=Feifei Ye
A01=Maria M. Wong
A01=Paul E. Jose
advanced mediation moderation models
Age Group_Uncategorized
Age Group_Uncategorized
Author_David P MacKinnon
Author_Feifei Ye
Author_Maria M. Wong
Author_Paul E. Jose
automatic-update
Category1=Non-Fiction
Category=JHBC
causal inference
COP=United States
data analysis
Delivery_Delivery within 10-20 working days
dummy coding techniques
eq_bestseller
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
experimental data interpretation
interaction effects
Johnson-Neyman method
Language_English
latent variable analysis
longitudinal data analysis
medgraph
mediation
moderation
modgraph
multilevel modeling
multivariate
PA=Available
Price_€50 to €100
PS=Active
quantitative methods
regression
research methodology
sem
SN=Methodology in the Social Sciences
softlaunch
statistical techniques
structural equation modeling

Product details

  • ISBN 9781462508211
  • Weight: 604g
  • Dimensions: 156 x 234mm
  • Publication Date: 10 May 2013
  • Publisher: Guilford Publications
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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Written in a friendly, conversational style, this book offers a hands-on approach to statistical mediation and moderation for both beginning researchers and those familiar with modeling. Starting with a gentle review of regression-based analysis, Paul Jose covers basic mediation and moderation techniques before moving on to advanced topics in multilevel modeling, structural equation modeling, and hybrid combinations, such as moderated mediation. User-friendly features include numerous graphs and carefully worked-through examples; Helpful Suggestions about procedures and pitfalls; Knowledge Boxes delving into special topics, such as dummy coding; and end-of-chapter exercises and problems (with answers). The companion website (www.guilford.com/jose-materials) provides downloadable data and syntax files for the book's examples and exercises, as well as links to Jose's online programs, MedGraph and ModGraph. Appendices present SPSS, Amos, and Mplus syntax for conducting the key types of analyses.

Paul E. Jose, PhD, is Associate Professor of Psychology and Director of the Roy McKenzie Centre for the Study of Families at Victoria University of Wellington in New Zealand. He received his doctorate in Developmental Psychology from Yale University, completed his postdoctoral work at the University of Illinois at Champaign-Urbana, and taught and conducted research at Loyola University Chicago for 15 years. Dr. Jose's research interests include gender differences in spoken discourse, moral development, cross-cultural comparisons of adolescent coping and family dynamics, children's preparation and motivation for academic achievement, adolescent anxiety and depression, and positive psychology. He has used mediation and moderation for over 20 years in his work.

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