{"id":"W2561541699","doi":"10.1111/isj.12131","title":"Minimum sample size estimation in PLS‐SEM: The inverse square root and gamma‐exponential methods","year":2016,"lang":"en","type":"article","venue":"Information Systems Journal","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":2185,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Square root; Mathematics; Inverse; Statistics; Sample size determination; Multivariate statistics; Monte Carlo method; Exponential function; Applied mathematics; Mean squared error; Mathematical optimization; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01700328630793958,"score_gpt":0.3136178639966472,"score_spread":0.2966145776887076,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}