TY - JOUR
T1 - Methodological threat or myth? Evaluating the current state of evidence on common method variance in human resource management research
AU - Bozionelos, Nikolaos
AU - Simmering, Marcia J.
PY - 2022/1
Y1 - 2022/1
N2 - New key evidence on common method variance (CMV) has been generated in the last decade (including quantitative and qualitative reviews, and simulations) to estimate its real validity threat, and evaluate the post hoc techniques to detect and correct for its effects. This work looks at the new evidence, and reviews all HRM‐related empirical articles published in the last 10 years in six major journals. The following primary conclusions are drawn. First, adoption of new knowledge about CMV by the empirical literature has been uneven. Second, published research in these journals indicates few incidences of meaningful distortion of estimates due to CMV, even when post hoc tests are used to detect it. Third, these findings in the empirical literature mirror the conclusions of reviews and simulations of the last 10 years, which indicate that the probability of significant distortion of estimates because of CMV is very limited.
AB - New key evidence on common method variance (CMV) has been generated in the last decade (including quantitative and qualitative reviews, and simulations) to estimate its real validity threat, and evaluate the post hoc techniques to detect and correct for its effects. This work looks at the new evidence, and reviews all HRM‐related empirical articles published in the last 10 years in six major journals. The following primary conclusions are drawn. First, adoption of new knowledge about CMV by the empirical literature has been uneven. Second, published research in these journals indicates few incidences of meaningful distortion of estimates due to CMV, even when post hoc tests are used to detect it. Third, these findings in the empirical literature mirror the conclusions of reviews and simulations of the last 10 years, which indicate that the probability of significant distortion of estimates because of CMV is very limited.
KW - coefficients
KW - common method bias
KW - common method variance
KW - distortion
KW - estimates
KW - evidence
KW - post hoc methods
KW - reviews
KW - simulations
UR - http://www.scopus.com/inward/record.url?scp=85109636139&partnerID=8YFLogxK
U2 - 10.1111/1748-8583.12398
DO - 10.1111/1748-8583.12398
M3 - Article
VL - 32
SP - 194
EP - 215
JO - Human Resource Management Journal
JF - Human Resource Management Journal
SN - 0954-5395
IS - 4
ER -