NicholasDanks

coa_framework_paper

This code supports Danks, Ray, and Shmueli (in press). The Composite Overfit Analysis Framework: Assessing the Out-of-sample Generalizability of Construct-based Models Using Predictive Deviance, Deviance Trees, and Unstable Paths

computational_stats

Introduction to Computational Statistics

hw_3-credit_card_crypto

Model_selection_uncertainty

for Model selection uncertainty and multimodel inference in partial least squares structural equation modeling (PLS-SEM)

nicholasdanks.github.io

Nicholas Danks Personal Website

Prediction-in-HRM-research

Prediction in HRM research − a gap between rhetoric and reality Sarstedt & Danks (2021)

seminr

Natural-feeling domain-specific language for building PLS structural equation models

SOA_FlipFlap

FlipFlap assignment for SOA class

NicholasDanks/Model_selection_uncertainty

for Model selection uncertainty and multimodel inference in partial least squares structural equation modeling (PLS-SEM)

NicholasDanks/computational_stats

Introduction to Computational Statistics

NicholasDanks/seminr

Natural-feeling domain-specific language for building PLS structural equation models

NicholasDanks/coa_framework_paper

This code supports Danks, Ray, and Shmueli (in press). The Composite Overfit Analysis Framework: Assessing the Out-of-sample Generalizability of Construct-based Models Using Predictive Deviance, Deviance Trees, and Unstable Paths

NicholasDanks/hw_3-credit_card_crypto

NicholasDanks/nicholasdanks.github.io

Nicholas Danks Personal Website

NicholasDanks/Prediction-in-HRM-research

Prediction in HRM research − a gap between rhetoric and reality Sarstedt & Danks (2021)

NicholasDanks/SOA_FlipFlap

FlipFlap assignment for SOA class

NicholasDanks/supplementary_material