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The article discusses the limitations of Partial Least Squares (PLS) in statistical inference within Information Systems research, particularly its tendency to produce biased estimates when applied to common factor models. It introduces Consistent PLS (PLSc) as a corrective measure and advocates for the use of bootstrap confidence intervals (CIs) as a more reliable alternative to traditional null hypothesis significance testing (NHST). The authors provide evidence supporting the effectiveness of bootstrap C

Author

jennifernicoleelston

Language

EN