Statistical power in analyzing interaction effects: Questioning the advantage of PLS with product indicators

Information Systems Research

Volumn 18, Issue 2, 2007, Pages 211-227

  Goodhue, Dale ^a   Lewis, William ^b   Thompson, Ronald ^c  

^a UNIVERSITY OF GEORGIA   (United States)

^b LOUISIANA TECH UNIVERSITY   (United States)

^c WAKE FOREST UNIVERSITY   (United States)

Author keywords

Interaction effects; Moderator effects; Monte Carlo simulation; PLS; Product indicators; Regression; Statistical accuracy; Statistical power

Indexed keywords

INTELLIGENT SYSTEMS; LEAST SQUARES APPROXIMATIONS; REGRESSION ANALYSIS; STATISTICS;

AMOUNT OF INFORMATION; INTERACTION EFFECT; MONTE CARLO ANALYSIS; PARTIAL LEAST SQUARE (PLS); REGRESSION; STATISTICAL ACCURACY; STATISTICAL POWER; STATISTICAL SIGNIFICANCE;

MONTE CARLO METHODS;

EID: 57649121504     PISSN: 10477047     EISSN: 15265536     Source Type: Journal    
DOI: 10.1287/isre.1070.0123     Document Type: Article

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