TY - JOUR
T1 - The Holland Sleep Disorders Questionnaire
T2 - Factorial structure and measurement invariance in a psychiatric sample relative to the general population
AU - Mijnster, Teus
AU - Wardenaar, Klaas J.
AU - Boersma, Gretha J.
AU - van Veen, Maaike M.
AU - Cath, Daniëlle
AU - Kerkhof, Gerard A.
AU - Lancel, Marike
N1 - Publisher Copyright:
© 2024 The Author(s). International Journal of Methods in Psychiatric Research published by John Wiley & Sons Ltd.
PY - 2024/12
Y1 - 2024/12
N2 - Objectives: Although common, sleep disorders often remain undiagnosed in psychiatric patients. A screening instrument, like the Holland Sleep Disorders Questionnaire (HSDQ) could improve this. Previous work indicated a 6-factor structure for the HSDQ, but this hasn't been investigated in psychiatric patients. Methods: HSDQ data was collected in a psychiatric-outpatient sample (n = 1082) and general-population sample (n = 2089). Internal reliability of the HSDQ was investigated and Confirmatory Factor Analyses (CFA) were used to compare 1-, 6-, and second-order 6-factor models in both samples. Next, multigroup-CFA was used to investigate measurement invariance. Results: Except for one subscale, internal reliability was acceptable in both samples. The 6-factor structure model fitted best in both samples and investigation of measurement invariance showed evidence for equality of the overall factor structure (configural invariance). Addition of equality constraints on factor loadings (metric invariance) and item thresholds (scalar invariance) showed good fit for all fit statistics, except for one. Exploratory analyses identified three items for metric and three different items for scalar invariance explaining this non-invariance. Conclusion: The HSDQ has a 6-factor structure in psychiatric patients, which is comparable to the general population. However, due to the observed non-invariance, users should be cautious with comparing HSDQ scores between psychiatric and general populations.
AB - Objectives: Although common, sleep disorders often remain undiagnosed in psychiatric patients. A screening instrument, like the Holland Sleep Disorders Questionnaire (HSDQ) could improve this. Previous work indicated a 6-factor structure for the HSDQ, but this hasn't been investigated in psychiatric patients. Methods: HSDQ data was collected in a psychiatric-outpatient sample (n = 1082) and general-population sample (n = 2089). Internal reliability of the HSDQ was investigated and Confirmatory Factor Analyses (CFA) were used to compare 1-, 6-, and second-order 6-factor models in both samples. Next, multigroup-CFA was used to investigate measurement invariance. Results: Except for one subscale, internal reliability was acceptable in both samples. The 6-factor structure model fitted best in both samples and investigation of measurement invariance showed evidence for equality of the overall factor structure (configural invariance). Addition of equality constraints on factor loadings (metric invariance) and item thresholds (scalar invariance) showed good fit for all fit statistics, except for one. Exploratory analyses identified three items for metric and three different items for scalar invariance explaining this non-invariance. Conclusion: The HSDQ has a 6-factor structure in psychiatric patients, which is comparable to the general population. However, due to the observed non-invariance, users should be cautious with comparing HSDQ scores between psychiatric and general populations.
KW - construct validity
KW - Holland Sleep Disorders Questionnaire
KW - measurement invariance
KW - mental health patients
KW - sleep disorders
UR - http://www.scopus.com/inward/record.url?scp=85205528499&partnerID=8YFLogxK
U2 - 10.1002/mpr.70004
DO - 10.1002/mpr.70004
M3 - Article
C2 - 39361256
AN - SCOPUS:85205528499
SN - 1049-8931
VL - 33
JO - International Journal of Methods in Psychiatric Research
JF - International Journal of Methods in Psychiatric Research
IS - 4
M1 - e70004
ER -