TY - JOUR
T1 - Estimating Trait and Situational Variance in a Situational Judgment Test
AU - Friede Westring, Alyssa J
AU - Oswald, Frederick L.
AU - Schmitt, Neal
AU - Merritt, Stephanie
AU - Imus, Anna
AU - Kim, Brian
AU - Shivpuri, Smriti
N1 - In organizational research, situational judgment tests (SJTs) consistently demonstrate incremental validity, yet our theoretical understanding of SJTs is limited. Our knowledge could be advanced by decomposing the variance of SJT items into trait variance and situation variance; we do that by applying statistical methods used to analyze multitrait-multimethod matrices.
PY - 2009
Y1 - 2009
N2 - In organizational research, situational judgment tests (SJTs) consistently demonstrate incremental validity, yet our theoretical understanding of SJTs is limited. Our knowledge could be advanced by decomposing the variance of SJT items into trait variance and situation variance; we do that by applying statistical methods used to analyze multitrait–multimethod matrices. A college-student sample ( N = 2,747) was administered an SJT of goal orientation traits (i.e., mastery, performance-approach, and performance-avoid). Structural equation modeling was used to estimate the proportions of item variance to attributable to situational differences (across students) and to trait-based differences in students (across situations). Situation factors accounted for over three times the amount of variance as did individual difference factors. We conclude with general implications for the design of SJTs in organizational research.
AB - In organizational research, situational judgment tests (SJTs) consistently demonstrate incremental validity, yet our theoretical understanding of SJTs is limited. Our knowledge could be advanced by decomposing the variance of SJT items into trait variance and situation variance; we do that by applying statistical methods used to analyze multitrait–multimethod matrices. A college-student sample ( N = 2,747) was administered an SJT of goal orientation traits (i.e., mastery, performance-approach, and performance-avoid). Structural equation modeling was used to estimate the proportions of item variance to attributable to situational differences (across students) and to trait-based differences in students (across situations). Situation factors accounted for over three times the amount of variance as did individual difference factors. We conclude with general implications for the design of SJTs in organizational research.
UR - https://www.tandfonline.com/doi/abs/10.1080/08959280802540999
U2 - 10.1080/08959280802540999
DO - 10.1080/08959280802540999
M3 - Article
VL - 22
JO - Human Performance
JF - Human Performance
ER -