Michael Scharkow

Sociology and Political Science · 2013–2019

A researcher in the Science corpus: 6 papers; trusts 32 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Scharkow trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Markus Prior
  2. David P. MacKinnon
  3. Yves Rosseel
  4. Subir Ghosh
  5. Paul-Christian Burkner
  6. Kristopher J Preacher
  7. Andrew F. Hayes
  8. Norbert Schwarz
  9. Hadley Wickham
  10. Jeffrey Boase

Who trusts Michael Scharkow overall

  1. Andrew F. Hayes
  2. Kristopher J Preacher
  3. Douglas A. Parry
  4. T. Verbeij
  5. A. Montoya
  6. Xifang Ma
  7. Laura S. Loy
  8. Fozia Mubarak
  9. Amy C. Orben
  10. J. Pouwels

Papers from Michael Scharkow's perspective

Ordered by how strongly the researchers Michael Scharkow trusts endorse each paper. Same corpus, a different order for every researcher.

  1. SPSS and SAS procedures for estimating indirect effects in simple mediation models (Behavoir research methods, instruments & computers)
  2. Mediation in experimental and nonexperimental studies: new procedures and recommendations. (Psychological methods)
  3. lavaan: An R Package for Structural Equation Modeling
  4. A comparison of methods to test mediation and other intervening variable effects. (Psychological methods)
  5. Confidence Limits for the Indirect Effect: Distribution of the Product and Resampling Methods (Multivariate Behavioral Research)
  6. Introduction to Statistical Mediation Analysis
  7. Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach
  8. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models (Behavior Research Methods)
  9. Distribution of the product confidence limits for the indirect effect: Program PRODCLIN (Behavior Research Methods)
  10. Resampling and Distribution of the Product Methods for Testing Indirect Effects in Complex Models (Structural equation modeling : a multidisciplinary journal)

Their papers