Personnel Review, Volume 44, Issue 2, March 2015.
Purpose In order to contribute to the understanding of affective commitment towards distinct workplace targets, we develop and validate a Multitarget Affective Commitment Scale (MACS) through two data collections. The MACS uses similarly worded items for distinct targets and reflects the most recent theoretical development of affective commitment. Design/methodology/approach In the first data collection, items from previous commitment scales were tested through the social network service Facebook (N = 305). The second data collection was conducted in the healthcare system of Denmark (N = 496) using survey questionnaires. Findings In Study 1, exploratory factor analyses were conducted to reduce the items based on the Facebook data. In Study 2, we confirm the findings of Study 1 and further reduce the items based on the healthcare sample. The healthcare sample is also used in Study 3, where we validate the MACS by investigating its relationship with predictors, correlates, and outcomes. Originality/value Our results suggest that the MACS are a reliable and valid measure of affective commitment compatible with the diverse targets to which affective commitment often occurs. Consequently, the MACS is applicable for research investigating multiply affective commitments, thereby advancing our understanding of interactions between affective commitments and diverse targets, among other applications.
Purpose In order to contribute to the understanding of affective commitment towards distinct workplace targets, we develop and validate a Multitarget Affective Commitment Scale (MACS) through two data collections. The MACS uses similarly worded items for distinct targets and reflects the most recent theoretical development of affective commitment. Design/methodology/approach In the first data collection, items from previous commitment scales were tested through the social network service Facebook (N = 305). The second data collection was conducted in the healthcare system of Denmark (N = 496) using survey questionnaires. Findings In Study 1, exploratory factor analyses were conducted to reduce the items based on the Facebook data. In Study 2, we confirm the findings of Study 1 and further reduce the items based on the healthcare sample. The healthcare sample is also used in Study 3, where we validate the MACS by investigating its relationship with predictors, correlates, and outcomes. Originality/value Our results suggest that the MACS are a reliable and valid measure of affective commitment compatible with the diverse targets to which affective commitment often occurs. Consequently, the MACS is applicable for research investigating multiply affective commitments, thereby advancing our understanding of interactions between affective commitments and diverse targets, among other applications.