Adaptation and validation of the Chinese version of the Sleep Quality Questionnaire

Meng, Runtang; Kato, Tsukasa; Mastrotheodoros, Stefanos; Dong, Lü; Fong, Daniel Yee Tak; Wang, Fang; Cao, Menglu; Liu, Xinliang; Yao, Chenmin; Cao, Jinhong; Yu, Yong; Luo, Yi; Yu, Chuanhua; Gozal, David

doi:10.1007/s11136-022-03241-9

Cited by 11 publications

(8 citation statements)

References 67 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The person–item map visually displays how the distribution of item difficulty is matched to the ability of a person [ 20 ]. Based on the results, the distribution width for the abilities of persons was not well matched with that of the item difficulties.…”

Section: Discussionmentioning

confidence: 99%

“…The Joint Maximum Likelihood Estimation (JMLE) equation was used to execute the Winsteps Rasch analysis. This psychometric probability-based analysis method checks to confirm whether the observed responses match the pattern of the Rasch model [ 20 ]. Furthermore, Rasch analysis can determine the scale’s measurement and structural characteristics when the conditions of the model are satisfied.…”

Section: Methodsmentioning

confidence: 99%

“…Furthermore, Rasch analysis can determine the scale’s measurement and structural characteristics when the conditions of the model are satisfied. It is also applicable to determining the difficulty level of each item on the scale and the skills people need to measure certain things [ 19 , 20 , 21 ]. In the fields of health and education, Rasch modelling is frequently used to evaluate the psychometric qualities of scales, test items, and questionnaires [ 20 , 21 ].…”

Section: Methodsmentioning

confidence: 99%

“…It is also applicable to determining the difficulty level of each item on the scale and the skills people need to measure certain things [ 19 , 20 , 21 ]. In the fields of health and education, Rasch modelling is frequently used to evaluate the psychometric qualities of scales, test items, and questionnaires [ 20 , 21 ]. The Rasch analysis properties were assessed by Winsteps software (defined in Appendix A ).…”

Section: Methodsmentioning

confidence: 99%

See 3 more Smart Citations

Rasch Modelling to Assess Psychometric Validation of the Knowledge about Tuberculosis Questionnaire (KATUB-Q) for the General Population in Indonesia

Kusuma

Triwibowo

Pratiwi³

et al. 2022

IJERPH

View full text Add to dashboard Cite

Objective: This study aims to validate and evaluate the psychometric properties of the knowledge about tuberculosis questionnaire (KATUB-Q) for the general population in Indonesia. Methods: The KATUB-Q consists of three domains: general knowledge, transmission, and treatment, with 20 dichotomous items. Rasch analysis through WINSTEPS was used. Results: A total of 504 respondents from 34 provinces in Indonesia completed the survey. Based on the model fit statistics, 3 misfit items were deleted and 17 items were used. Item and person reliability, as well as Cronbach’s Alpha values were 0.99, 0.63, and 0.73, respectively, which means they achieved the minimum acceptable limit of 0.6. Based on the results, Indonesia’s Person ability analysis indicated a high level of knowledge. KATUB-Q has no significant bias item based on sex found in the differential item functioning analysis. Conclusion: KATUB-Q has 17 items with a valid and reliable instrument; hence, it can be used to measure the knowledge about TB in the general population. Practice implications: The unidimensional structure of the core items of the KATUB-Q provides empirical evidence for using the sum score of the items in practice to evaluate the effectiveness of TB education in the general population.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Rasch Modelling to Assess Psychometric Validation of the Knowledge about Tuberculosis Questionnaire (KATUB-Q) for the General Population in Indonesia

Kusuma

Triwibowo

Pratiwi³

et al. 2022

IJERPH

View full text Add to dashboard Cite

show abstract

“…Composite scores range from 0 to 40, with higher scores indicating poorer sleep quality. Both the original (Japanese and English) SQQ and the simplified Chinese SQQ have good psychometric properties [ 22 , 23 , 24 , 25 ].…”

Section: Methodsmentioning

confidence: 99%

Assessing Measurement Properties of a Simplified Chinese Version of Sleep Condition Indicator (SCI-SC) in Community Residents

Meng

Lau

Spruyt

et al. 2022

Behavioral Sciences

Self Cite

View full text Add to dashboard Cite

Background: The study aimed to assess the measurement properties of a simplified Chinese version of the Sleep Condition Indicator (SCI-SC) in the community. Methods: A psychometric evaluation through an observational cross-sectional survey design was conducted. Community residents (N = 751) in Hangzhou, China completed the SCI-SC and the simplified Chinese version of the Sleep Quality Questionnaire (SQQ) in July 2021. Data were randomly split into a development sample (N = 375) for model development by exploratory factor analysis (EFA) and a holdout sample (N = 376) for validation by confirmatory factor analysis (CFA). Multi-group CFA (MGCFA) was used to assess configural, metric, scalar, and strict measurement invariance across gender, age, marital status, body mass index (BMI), napping habits, generic exercise, hobby, and administered survey. Moreover, statistical analyses were performed to determine the reliability (alpha and omega) and construct validity of the instrument. Results: Both factor analyses showed a stable solution with two dimensions of Sleep Pattern and Sleep-Related Impact. Good structural validity, robust internal consistency, and construct validity with the SQQ were demonstrated. There was evidence of strict invariance across gender, BMI, napping habits, generic exercise, hobby, and administered survey subgroups, but only metric and scalar invariances were established across age and marital status groups, respectively. Conclusions: The SCI-SC demonstrated promising psychometric properties, with high SQQ concordance and consistent structure of the original version. The SCI-SC can be used by sleep researchers as well as healthcare professionals in various contexts in detecting risks for insomnia disorder in the community.

show abstract

Perceived stress mediates the longitudinal effect of sleep quality on internalizing symptoms

Meng,

Xu,

Luo

et al. 2025

Journal of Affective Disorders

View full text Add to dashboard Cite

Adaptation and validation of the Chinese version of the Sleep Quality Questionnaire

Cited by 11 publications

References 67 publications

Rasch Modelling to Assess Psychometric Validation of the Knowledge about Tuberculosis Questionnaire (KATUB-Q) for the General Population in Indonesia

Rasch Modelling to Assess Psychometric Validation of the Knowledge about Tuberculosis Questionnaire (KATUB-Q) for the General Population in Indonesia

Assessing Measurement Properties of a Simplified Chinese Version of Sleep Condition Indicator (SCI-SC) in Community Residents

Perceived stress mediates the longitudinal effect of sleep quality on internalizing symptoms

Contact Info

Product

Resources

About