Hostname: page-component-74656f9884-j7cmm Total loading time: 0 Render date: 2026-11-05T22:00:01.027Z Has data issue: false hasContentIssue false

Career calling climate: The development and validation of a scale for a new construct

Published online by Cambridge University Press:  19 April 2023

Jiatian Chen*
Affiliation:
School of Business and Public Administration, California State University, Bakersfield, 9001 Stockdale Highway, BDC 228A, Bakersfield, CA 93311, USA
Douglas R. May
Affiliation:
School of Business, The University of Kansas, 1654 Naismith Drive, Lawrence, KS 66045, USA
Catherine E. Schwoerer
Affiliation:
School of Business, The University of Kansas, 1654 Naismith Drive, Lawrence, KS 66045, USA
*
Corresponding author: Jiatian Chen, E-mail: jchen34@csub.edu
Rights & Permissions [Opens in a new window]

Abstract

Having a sense of calling toward one's work has key benefits for both the employee and the employer. Yet, little is known about whether and what kind of work climate facilitates employees' senses of calling, hindering efforts toward positive changes from managers and organizations. This research introduces the concept of ‘career calling climate’ and describes the development of a scale (i.e., Career Calling Climate Scale) to measure the level of support that a work unit provides for its employees' pursuit of a calling. We established the scale's validity and reliability using survey responses from participants of various occupations and age. To provide evidence of its predictive validity, we examined career calling climate's relation with career callings using a sample of 189 healthcare employees nested in 34 work units. Results suggested that career calling climate predicted individuals' career callings. Implications for theory and practice are discussed.

Information

Type
Research Article
Copyright
© The Author(s), 2023. Published by Cambridge University Press in association with the Australian and New Zealand Academy of Management
Figure 0

Table 1. Factor loadings for exploratory factor analysis with Promax rotation of career calling climate scale

Figure 1

Table 2. Descriptive statistics of study variables (mean, standard deviation, and correlations)

Figure 2

Table 3. Results of multilevel modeling analysis predicting career calling

Supplementary material: File

Chen et al. supplementary material

Chen et al. supplementary material
Download Chen et al. supplementary material(File)
File 18.5 KB