Identification and inference with many invalid instruments

M Kolesár, R Chetty, J Friedman… - Journal of Business & …, 2015 - Taylor & Francis
We study estimation and inference in settings where the interest is in the effect of a
potentially endogenous regressor on some outcome. To address the endogeneity, we …

Multicollinearity: How common factors cause Type 1 errors in multivariate regression

A Kalnins - Strategic Management Journal, 2018 - Wiley Online Library
Research Summary: In multivariate regression analyses of correlated variables, we
sometimes observe pairs of estimated beta coefficients large in absolute magnitude and …

Common method issues: An introduction to the feature topic in organizational research methods

PE Spector, MT Brannick - Organizational Research …, 2010 - journals.sagepub.com
It is widely accepted that the method of measurement can affect observations made in
scientific studies. Method variance is variance attributable to the method of measurement …

All your data are always missing: incorporating bias due to measurement error into the potential outcomes framework

JK Edwards, SR Cole… - International journal of …, 2015 - academic.oup.com
Epidemiologists often use the potential outcomes framework to cast causal inference as a
missing data problem. Here, we demonstrate how bias due to measurement error can be …

The use and misuse of structural equation modeling in management research: A review and critique

N S. Davcik - Journal of advances in management research, 2014 - emerald.com
Purpose–The research practice in management research is dominantly based on structural
equation modeling (SEM), but almost exclusively, and often misguidedly, on covariance …

On doing relevant and rigorous experiments: Review and recommendations

S Lonati, BF Quiroga, C Zehnder, J Antonakis - Journal of Operations …, 2018 - Elsevier
Although experiments are the gold standard for establishing causality, several threats can
undermine the internal validity of experimental findings. In this article, we first discuss these …

Common method variance or measurement bias? The problem and possible solutions

PE Spector, MT Brannick - The Sage handbook of organizational …, 2009 - books.google.com
The ubiquitous self-report questionnaire is perhaps the most popular method for conducting
research in organizations. Researchers using questionnaires have long been aware of …

Assessing common method bias: Problems with the ULMC technique

WW Chin, JB Thatcher, RT Wright - MIS quarterly, 2012 - JSTOR
Recent work, in journals such as MIS Quarterly and Management Science, has highlighted
the importance of evaluating the influence of common method bias (CMB) on the results of …

Method effects, measurement error, and substantive conclusions

CE Lance, B Dawson, D Birkelbach… - Organizational …, 2010 - journals.sagepub.com
Common method variance is routinely viewed as a pervasive problem in organizational
research, one that undermines good science and biases empirical conclusions. The authors …

[引用][C] Basic methods for sensitivity analysis and external adjustment

S Greenland - 1998 - na