Factor structure and psychometric properties of the Insomnia Severity Index in Mainland China

2018 ◽  
Vol 46 (2) ◽  
pp. 209-218 ◽  
Author(s):  
Rong-Mao Lin ◽  
Shan-Shan Xie ◽  
Wen-Jing Yan ◽  
You-Wei Yan
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Factor Structure ◽  
Severity Index ◽  
Internal Reliability ◽  
Mainland Chinese ◽  
Insomnia Severity Index ◽  
Multiple Group ◽  
Chinese Undergraduates ◽  
Insomnia Severity

We explored the factor structure and psychometric properties of the Insomnia Severity Index (ISI) using 3 samples totaling 2,066 Mainland Chinese undergraduates. All participants completed the ISI and Sample 2 completed 3 other related measures. Their responses were processed using exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and multiple group analyses. The EFA results revealed a 2-factor structure, whereas the CFA results supported a 3-factor solution, the latter of which was further confirmed by the results of multiple group analyses. The Chinese version of the ISI had a satisfactory Cronbach's alpha coefficient of internal reliability, 2-week test–retest reliability, and criterion validity. Overall, we found that the ISI is a reliable, valid, and psychometrically sound measure of insomnia for use with Mainland Chinese undergraduates.

The Swedish version of the Insomnia Severity Index: Factor structure analysis and psychometric properties in chronic pain patients

2015 ◽  
Vol 9 (1) ◽  
pp. 22-27 ◽  
Author(s):  
Elena Dragioti ◽  
Tobias Wiklund ◽  
Peter Alföldi ◽  
Björn Gerdle
Keyword(s):  
Chronic Pain ◽  
Factor Analysis ◽  
Factor Structure ◽  
Depression Scale ◽  
Severity Index ◽  
Invariance Property ◽  
Insomnia Severity Index ◽  
Chronic Pain Patients ◽  
Pain Patients ◽  
Insomnia Severity

AbstractObjectiveInsomnia is the most commonly diagnosed comorbidity disorder among patients with chronic pain. This circumstance requests brief and valid instruments for screening insomnia in epidemiological studies. The main object of this study was to assess the psychometric properties and factor structure of the Swedish version of the Insomnia Severity Index (ISI). The ISI is a short instrument designed to measure clinical insomnia and one of the most common used scales both in clinical and research practice. However there is no study in Sweden that guarantees neither its factor structure nor its feasibility in chronic pain patients. We further examined the measurement invariance property of the ISI across the two sexes.MethodsThe ISI was administered to 836 (269 men and 567 women) chronic pain patients from the Swedish Quality Registry for Pain Rehabilitation. This study used demographic data, the Hospital Anxiety and Depression Scale (HADS), the Mental Summary Component (MSC) of the Health Survey (SF-36) and the item 7 from Multidimensional Pain Inventory (MPI). The sample was divided into two random halves: exploratory factor analysis (EFA) was performed in the first sample (N1 = 334, 40%) and confirmatory factor analysis (CFA) in the second half of the sample (N2 = 502, 60%). The measurement and structural invariance of the proposed structure (4-item version) between the two sexes as well as reliability and validity indexes were further assessed.ResultsExploratory factor analysis using the principal axis factoring method generated one global factor structure for the ISI, explaining 63.1% of the total variance. The one factor solution was stable between the two sexes. Principal component analysis was also applied and indicated almost identical results. The structure was further assessed by CFA, resulting in an adequate fit only after omitting three items. The difference on structural and measurement invariance in the loadings by participants’ sex was not significant (Δχ2 = 10.6; df = 3; p = .69 and Δχ2 = 2.86; df = 3; p = 41 respectively). The shorter version four-item Insomnia Severity Index (ISI-4) was analysed further. The Chronbach’s alpha for the global ISI-4 score was 0.88. The construct validity of the ISI-4 was also supported by the, Hospital Anxiety and Depression Scale, the Mental Summary Component of quality of life and quality of sleep data. Pain intensity was significantly associated with the ISI-4 score (beta = .29, p < 001) whereas no significant correlation between four-item Insomnia Severity Index score and age was observed (p > 05).Conclusions and implicationsAlthough short, the four-item Insomnia Severity Index (ISI-4) version seemed to effectively assess insomnia in chronic pain patients. An important clinical implication is that the four-item Swedish Insomnia Severity Index can be used in chronic pain cohorts when screening for insomnia problems. Its measurement and structural invariance property across the two sexes shows that the ISI-4 is a valid measure of the insomnia across groups of chronic patients. Our results also suggest its utility both in pain clinical practice and research purposes.

The Factor Structure and Psychometric Properties of the Resiliency Scale in Chinese Undergraduates

2010 ◽  
Vol 26 (3) ◽  
pp. 162-171 ◽  
Author(s):  
Lixia Cui ◽  
Xiujie Teng ◽  
Xupei Li ◽  
Tian P.S. Oei
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Factor Structure ◽  
Undergraduate Students ◽  
Concurrent Validity ◽  
Higher Order ◽  
Criterion Variable ◽  
Confirmatory Factor ◽  
High Level ◽  
Chinese Undergraduates

The current study examined the factor structure and the psychometric properties of Sandra Prince-Embury’s Resiliency Scale for Adolescents (RESA) in Chinese undergraduates. A total of 726 undergraduate students were randomly divided into two subsamples: Sample A was used for the exploratory factor analysis (EFA) and Sample B was used for the confirmatory factor analysis (CFA). The EFA revealed that 56 items and a model of 10 factors with 3 higher order factors (as described by Sandra) were to be retained; CFA with Sample B confirmed this result. The overall scale and the subscales of the Chinese-RESA demonstrated a high level of internal consistency. Furthermore, concurrent validity was demonstrated by the correlation of the scale with other instruments such as the PANAS and the CSS, and the predictive validity was confirmed via three multiple regression analyses using the PANAS as a criterion variable: one for the 10 subscales of the C-RESA, one for the 3 higher order scales, and one for the total C-RESA. We concluded that the C-RESA may be used for research into Chinese undergraduates’ adaptive behaviors.

Psychometric properties of the Insomnia Severity Index in Ethiopian adults with substance use problems

2018 ◽  
Vol 19 (2) ◽  
pp. 238-252 ◽  
Author(s):  
Md. Dilshad Manzar ◽  
Mohammed Salahuddin ◽  
Tufail Ahmad Khan ◽  
Showkat Ahmad Shah ◽  
Majed Alamri ◽  
...  
Keyword(s):  
Substance Use ◽  
Psychometric Properties ◽  
Severity Index ◽  
Insomnia Severity Index ◽  
Substance Use Problems ◽  
Insomnia Severity

scholarly journals Confirmatory factor analysis of the Insomnia Severity Index (ISI) and invariance across race

2019 ◽  
Vol 26 (8) ◽  
pp. 850-855 ◽  
Author(s):  
Julie L. Otte ◽  
Giorgos Bakoyannis ◽  
Kevin L. Rand ◽  
Kristine E. Ensrud ◽  
Katherine A. Guthrie ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Severity Index ◽  
Insomnia Severity Index ◽  
Confirmatory Factor ◽  
Insomnia Severity

Psychometric properties of the Insomnia Severity Index in cancer survivors

2019 ◽  
Vol 28 (3) ◽  
pp. 540-546
Author(s):  
Miryam Yusufov ◽  
Eric S. Zhou ◽  
Christopher J. Recklitis
Keyword(s):  
Cancer Survivors ◽  
Psychometric Properties ◽  
Severity Index ◽  
Insomnia Severity Index ◽  
Insomnia Severity

The Spanish version of the Insomnia Severity Index: A confirmatory factor analysis

2012 ◽  
Vol 13 (2) ◽  
pp. 207-210 ◽  
Author(s):  
Julio Fernandez-Mendoza ◽  
Alfredo Rodriguez-Muñoz ◽  
Antonio Vela-Bueno ◽  
Sara Olavarrieta-Bernardino ◽  
Susan L. Calhoun ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Severity Index ◽  
Spanish Version ◽  
Insomnia Severity Index ◽  
Confirmatory Factor ◽  
Insomnia Severity

scholarly journals Validating Insomnia Severity Index (ISI) in a Bangladeshi Population: Using Classical Test Theory and Rasch Analysis

2021 ◽  
Vol 19 (1) ◽  
pp. 225
Author(s):  
Mohammed A. Mamun ◽  
Zainab Alimoradi ◽  
David Gozal ◽  
Md Dilshad Manzar ◽  
Anders Broström ◽  
...  
Keyword(s):  
Mental Health ◽  
Suicidal Ideation ◽  
Psychometric Properties ◽  
Classical Test Theory ◽  
Severity Index ◽  
Test Theory ◽  
Insomnia Severity Index ◽  
Classical Test ◽  
Rasch Analyses ◽  
Insomnia Severity

The COVID-19 outbreak is associated with sleep problems and mental health issues among individuals. Therefore, there is a need to assess sleep efficiency during this tough period. Unfortunately, the commonly used instrument on insomnia severity—the Insomnia Severity Index (ISI)—has never been translated and validated among Bangladeshis. Additionally, the ISI has never been validated during a major protracted disaster (such as the COVID-19 outbreak) when individuals encounter mental health problems. The present study aimed to translate the ISI into Bangla language (ISI-Bangla) and validate its psychometric properties. First, the linguistic validity of the ISI-Bangla was established. Then, 9790 Bangladeshis (mean age = 26.7 years; SD = 8.5; 5489 [56.1%] males) completed the Bangla versions of the following questionnaires: ISI, Fear of COVID-19 Scale (FCV-19S), and Patient Health Questionnaire-9 (PHQ-9). All the participants also answered an item on suicidal ideation. Classical test theory and Rasch analyses were conducted to evaluate the psychometric properties of the ISI-Bangla. Both classical test theory and Rasch analyses support a one-factor structure for the ISI-Bangla. Moreover, no substantial differential item functioning was observed across different subgroups (gender, depression status (determined using PHQ-9), and suicidal ideation). Additionally, concurrent validity of the ISI-Bangla was supported by significant and moderate correlations with FCV-19S and PHQ-9; known-group validity was established by the significant difference of the ISI-Bangla scores between participants who experienced suicidal ideation and those without. The present psychometric validation conducted during the COVID-19 outbreak suggests that the ISI-Bangla is a promising and operationally adequate instrument to assess insomnia in Bangladeshis.

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