Measuring psychological pain: psychometric analysis of the Orbach and Mikulincer Mental Pain Scale

Autor: Lindsay Larkins, Karen M. Appleby, Russell T. Baker, Emma J. Grindley, Madeline P. Casanova, Michael A. Pickering, Megan C. Nelson
Rok vydání: 2021
Předmět:
Psychological pain
Confirmatory factor analysis
Invariance testing
psychometrics
measurement instrument
050103 clinical psychology
scale construction
Psychometrics
Sample (statistics)
03 medical and health sciences
0302 clinical medicine
ddc:150
psychische Gesundheit
Skalenkonstruktion
Psychology
pain
0501 psychology and cognitive sciences
psychologische Diagnostik und Beratung
psychologische Methoden
Datengewinnung
Social sciences
sociology
anthropology
H1-99
Erhebungstechniken und Analysetechniken der Sozialwissenschaften
Sozialwissenschaften
Soziologie
05 social sciences
Pain scale
Mental health
Exploratory factor analysis
030227 psychiatry
Social sciences (General)
data capture
Methods and Techniques of Data Collection and Data Analysis
Statistical Methods
Computer Methods
Psychologie
Scale (social sciences)
Validation of Measurement Instruments
ddc:300
Messinstrument
Schmerz
Psychometrie
Psychological Testing
Psychological Counseling
Psychological Methodology
mental health
Clinical psychology
Zdroj: Measurement Instruments for the Social Sciences
Measurement Instruments for the Social Sciences, Vol 3, Iss 1, Pp 1-17 (2021)
ISSN: 2523-8930
DOI: 10.1186/s42409-021-00025-8
Popis: Background Suicide is a public health concern, with an estimated 1 million individuals dying each year worldwide. Individual psychological pain is believed to be a contributing motivating factor. Therefore, establishing a psychometrically sound tool to adequately measure psychological pain is important. The Orbach and Mikulincer Mental Pain Scale (OMMP) has been proposed; however, previous psychometric analysis on the OMMP has not yielded a consistent scale structure, and the internal consistency of the subscales has not met recommended values. Therefore, the primary purpose of this study was to assess the psychometric properties of the OMMP in a diverse sample. Methods A confirmatory factor analysis (CFA) on the 9-factor, 44-item OMMP was conducted on the full sample (n = 1151). Because model fit indices were not met, an exploratory factor analysis (EFA) was conducted on a random subset of the data (n = 576) to identify a more parsimonious structure. The EFA structure was then tested in a covariance model in the remaining subset of participants (n = 575). Multigroup invariance testing was subsequently performed to examine psychometric properties of the refined scale. Results The CFA of the original 9-factor, 44-item OMMP did not meet recommended model fit recommendations. The EFA analysis results revealed a 3-factor, 9-item scale (i.e., OMMP-9). The covariance model of the OMMP-9 indicated further refinement was necessary. Multigroup invariance testing conducted on the final 3-factor, 8-item scale (i.e., OMMP-8) across mental health diagnoses, sex, injury status, age, activity level, and athlete classification met all criteria for invariance. Conclusions The 9-factor, 44-item OMMP does not meet recommended measurement criteria and should not be recommended for use in research and clinical practice in its current form. The refined OMMP-8 may be a more viable option to use; however, more research should be completed prior to adoption.
Databáze: OpenAIRE
Externí odkaz: