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Using multi‐item psychometric scales for research and practice in human resource management
Author(s) -
Robinson Mark A.
Publication year - 2017
Publication title -
human resource management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.888
H-Index - 94
eISSN - 1099-050X
pISSN - 0090-4848
DOI - 10.1002/hrm.21852
Subject(s) - human resource management , construct (python library) , measure (data warehouse) , psychology , resource (disambiguation) , scale (ratio) , knowledge management , computer science , applied psychology , data science , management science , data mining , physics , quantum mechanics , economics , programming language , computer network
Questionnaires are a widely used research method in human resource management (HRM), and multi‐item psychometric scales are the most widely used measures in questionnaires. These scales each have multiple items to measure a construct in a reliable and valid manner. However, using this method effectively involves complex procedures that are frequently misunderstood or unknown. Although there are existing methodological texts addressing this topic, few are exhaustive and they often omit essential practical information. The current article therefore aims to provide a detailed and comprehensive guide to the use of multi‐item psychometric scales for HRM research and practice, including their structure, development, use, administration, and data preparation.