Psychometric Properties of the Chinese Version of the Michigan Alcoholism Screening Test (MAST-C) for Patients With Alcoholism

2013 ◽  
Vol 50 (2) ◽  
pp. 83-92 ◽  
Author(s):  
Yu-Jung Hsueh ◽  
Hsin Chu ◽  
Chang-Chih Huang ◽  
Keng-Liang Ou ◽  
Chiung-Hua Chen ◽  
...  
Keyword(s):  
Psychometric Properties ◽  
Screening Test ◽  
Chinese Version ◽  
Michigan Alcoholism Screening Test

Michigan Alcoholism Screening Test--Chinese Version

2014 ◽  
Author(s):  
Yu-Jung Hsueh ◽  
Hsin Chu ◽  
Chang-Chih Huang ◽  
Keng-Liang Ou ◽  
Chiung-Hua Chen ◽  
...  
Keyword(s):  
Screening Test ◽  
Chinese Version ◽  
Michigan Alcoholism Screening Test

scholarly journals Psychometric Properties of the Persian Montreal Cognitive Assessment in Mild Cognitive Impairment and Alzheimer Disease

2021 ◽  
pp. 51-57
Author(s):  
Vahid Rashedi ◽  
Mahshid Foroughan ◽  
Negin Chehrehnegar
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Alzheimer Disease ◽  
Psychometric Properties ◽  
Cognitive Assessment ◽  
Screening Test ◽  
Cognitive Status ◽  
Montreal Cognitive Assessment ◽  
Cutoff Score ◽  
Persian Version

Introduction: The Montreal Cognitive Assessment (MoCA) is a cognitive screening test widely used in clinical practice and suited for the detection of Mild Cognitive Impairment (MCI). The aims were to evaluate the psychometric properties of the Persian MoCA as a screening test for mild cognitive dysfunction in Iranian older adults and to assess its accuracy as a screening test for MCI and mild Alzheimer disease (AD). Method: One hundred twenty elderly with a mean age of 73.52 ± 7.46 years participated in this study. Twenty-one subjects had mild AD (MMSE score ≤21), 40 had MCI, and 59 were cognitively healthy controls. All the participants were administered the Mini-Mental State Examination (MMSE) to evaluate their general cognitive status. Also, a battery of comprehensive neuropsychological assessments was administered. Results: The mean score on the Persian version of the MoCA and the MMSE were 19.32 and 25.62 for MCI and 13.71 and 22.14 for AD patients, respectively. Using an optimal cutoff score of 22 the MoCA test detected 86% of MCI subjects, whereas the MMSE with a cutoff score of 26 detected 72% of MCI subjects. In AD patients with a cutoff score of 20, the MoCA had a sensitivity of 94% whereas the MMSE detected 61%. The specificity of the MoCA was 70% and 90% for MCI and AD, respectively. Discussion: The results of this study show that the Persian version of the MoCA is a reliable screening tool for detection of MCI and early stage AD. The MoCA is more sensitive than the MMSE in screening for cognitive impairment, proving it to be superior to MMSE in detecting MCI and mild AD.

scholarly journals Psychometric properties and correlates of Chinese version of Perceived Stress Scale (CPSS-10) in people with common mental disorders with different employment Statuses

2021 ◽  
pp. 156918612110323
Author(s):  
Sam Shih ◽  
Ashley Chan ◽  
Eva Yeung ◽  
Amily Tsang ◽  
Rose Chiu ◽  
...  
Keyword(s):  
Mental Disorders ◽  
Psychometric Properties ◽  
Perceived Stress ◽  
Internal Consistency ◽  
Assessment Tool ◽  
Common Mental Disorders ◽  
Linear Regression Analysis ◽  
Chinese Version ◽  
Perceived Stress Scale ◽  
Stress Scale

Background/objectives Several studies have indicated that stress is associated with common mental disorders, and work stress trebles the risk of developing them. However, a validated assessment tool for measuring and establishing psychological stress correlates in this group of clients remains unavailable. The objectives of the present study were to examine the psychometric properties of the Chinese version of the Perceived Stress Scale-10 (CPSS-10) on people with common mental disorders with different employment statuses and explore its correlates. Methods Two hundred and fifty-two participants with common mental disorders were recruited. The data were analysed through exploratory factor and confirmatory analyses to investigate construct validity. The convergent and discriminant validities were examined based on their correlation with other measures, while the internal consistency was estimated using Cronbach’s α coefficient. A t-test was used to detect differences between groups. The CPSS-10 correlates were explored using multiple linear regression analysis. Results Principal component analysis with varimax rotation yielded two factors, which accounted for 63.82% of the total variance, while confirmatory factor analysis confirmed its factor structure. The CPSS-10 had a positively moderate to strong correlation with other measures, thereby indicating its acceptable convergent and discriminant validities. The internal consistency ranged from acceptable to good for the two subscales and ten overall items, while the item-total correlation was adequate except for the seventh item. There were no group differences in gender nor employment status. Finally, the CPSS-10 predictors were studied. Conclusion The CPSS-10 is a reliable and valid instrument for people with common mental disorders with different employment statuses.

Psychometric properties of a Chinese version of the Measure of Empathy and Sympathy

2017 ◽  
Vol 119 ◽  
pp. 168-174 ◽  
Author(s):  
Yang Wang ◽  
Zhonglin Wen ◽  
Yuanshu Fu ◽  
Liling Zheng
Keyword(s):  
Psychometric Properties ◽  
Chinese Version
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