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How have we, do we, and will we measure time perspective? A review of methodological and measurement issues
Author(s) -
Mohammed Susan,
Marhefka Jacqueline T.
Publication year - 2020
Publication title -
journal of organizational behavior
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.938
H-Index - 177
eISSN - 1099-1379
pISSN - 0894-3796
DOI - 10.1002/job.2414
Subject(s) - operationalization , conceptualization , perspective (graphical) , clarity , popularity , construct (python library) , ambiguity , psychology , scale (ratio) , measure (data warehouse) , time perspective , data science , management science , epistemology , engineering ethics , applied psychology , computer science , social psychology , data mining , philosophy , biochemistry , chemistry , physics , quantum mechanics , artificial intelligence , engineering , economics , programming language
Summary Despite the demonstrated importance of time perspective on key outcomes, its growing popularity, and its wide reach in terms of samples and disciplines, the construct has been plagued with definitional and measurement problems since its inception. Given the historical and current confusion regarding both conceptualization and operationalization, the purpose of this article is to provide an overview of methodological and measurement issues related to time perspective. Clearly, definitional and measurement clarity are critical for the success of future research. Through integrating the fragmented and eclectic time perspective literature fraught with ambiguity, we help to clarify measurement options and their psychometric evidence for future researchers. Specifically, we provide an in‐depth comparison of four (and their offshoots) commonly used, scale‐based measures of time perspective with respect to their dimensional content, psychometric properties, and validation evidence. We end with recommendations for time perspective research.