Turkish Adaptation and Psychometric Evaluation of the Colorado Learning Attitudes About Science Survey (CLASS) in Physics

2021 ◽  
Vol 4 (3) ◽  
pp. 355-372
Author(s):  
Derya Kaltakci-Gurel ◽  
Keyword(s):  
Physics Education ◽  
Psychometric Evaluation ◽  
Face Validity ◽  
Student Beliefs ◽  
Translation Process ◽  
Fit Statistics ◽  
Learning Attitudes ◽  
Proposed Model ◽  
Attitudes About Science ◽  
Original Class

The Colorado Learning Attitudes about Science Survey (CLASS) is an instrument to measure student beliefs about physics and learning physics. In this research, Turkish adaptation and psychometric evaluation of the CLASS is discussed. In the first stage, the translation process, which included examination of six experts (four experts in physics education and two experts in English and Turkish languages) for content validity and 13 student interviews for face validity, was described. In the second stage, exploratory (EFA) and confirmatory (CFA) factor analysis results obtained from 1391 freshman students were discussed for construct validty. The EFA yielded three factors that consisted of 20 items, which explained 39.61 % of the total variance. These factors were named as: Problem Solving Effort, Conceptual Understanding, and Personal Interest and Real-World Connection. Based on the CFA results, the three-factor 20-item instrument showed acceptable fit statistics. Compared to the original CLASS, the proposed version with 20-item model was shorter, easier to administer and easier to score, valid and reliable survey, so feasible to use. The overlapping of the constructs (i.e., violation of the unidimensionality) in the original CLASS was a problem, while in the proposed model none of the items were included in more than one construct.

scholarly journals Correlating Student Beliefs With Student Learning Using The Colorado Learning Attitudes about Science Survey

2008 ◽  
pp. 718-721
Author(s):  
K. K. Perkins ◽  
W. K. Adams ◽  
S. J. Pollock ◽  
N. D. Finkelstein ◽  
C. E. Wieman
Keyword(s):  
Student Learning ◽  
Student Beliefs ◽  
Learning Attitudes ◽  
Attitudes About Science

scholarly journals New instrument for measuring student beliefs about physics and learning physics: The Colorado Learning Attitudes about Science Survey

2008 ◽  
pp. 743-756
Author(s):  
W. K. Adams ◽  
K. K. Perkins ◽  
N. S. Podolefsky ◽  
M. Dubson ◽  
N. D. Finkelstein ◽  
...  
Keyword(s):  
Student Beliefs ◽  
Learning Attitudes ◽  
New Instrument ◽  
Attitudes About Science

The Religious Perfectionism Scale: A Cross-cultural Psychometric Evaluation Among Christians in the United States

2021 ◽  
pp. 009164712110115
Author(s):  
Kenneth T. Wang ◽  
Miriam S. Kang ◽  
Hsiu-Chi Lee ◽  
Irene Sipan
Keyword(s):  
United States ◽  
Religious Commitment ◽  
Psychometric Evaluation ◽  
Internal Consistency Reliability ◽  
The United States ◽  
Cross Cultural ◽  
Fit Statistics ◽  
Multiple Group ◽  
Chinese Buddhists ◽  
Religious Perfectionism

The Religious Perfectionism Scale (RPS) was first developed among Chinese Buddhists, Christians, and Muslims. It consists of the following two subscales: Zealous Religious Dedication and Religious Self-Criticism. In this study, a cross-cultural psychometric evaluation of RPS was performed in a US Christian sample ( N = 233). The confirmatory factor analysis (CFA) results presented a strong data-to-model fit statistics for the two-factor oblique model (CFI = .977, SRMR = .051, RMSEA = .034) in the US sample. The measurement of invariance between US and Chinese samples was examined by multiple-group CFA. The results indicated that the RPS fulfilled invariance for factor loadings and residual variances, but intercepts were partially invariant. The internal consistency reliability coefficients for the two subscales were adequate (above .70). The construct validity test results confirmed our hypotheses that the ZRD was positively correlated with Religious Commitment ( r = .56), and the RSC was positively correlated with Scrupulosity ( r = .58). Overall results suggest that the RPS is a promising measure of religious perfectionism for Christians in the United States. The implications of this were discussed.

Adaptation and Psychometric Evaluation of the Parenting Concerns Questionnaire—Advanced Disease

2021 ◽  
pp. 104990912110498
Author(s):  
Eliza M. Park ◽  
Mian Wang ◽  
Savannah M. Bowers ◽  
Anna C. Muriel ◽  
Paula K. Rauch ◽  
...  
Keyword(s):  
Functional Status ◽  
Advanced Cancer ◽  
Internal Consistency ◽  
Convergent Validity ◽  
Advanced Disease ◽  
Full Range ◽  
Psychometric Evaluation ◽  
Face Validity ◽  
Concept Elicitation ◽  
The Impact

Purpose: When patients with advanced cancer have minor children (age < 18), their health-related quality of life is closely linked to their concerns about the impact of progressive illness and death on their children. The Parenting Concerns Questionnaire (PCQ), a validated measure for parents with cancer, does not capture the full range of concerns in advanced cancer. The aim of this was study was to adapt and establish psychometrics for the PCQ for advanced disease (PCQ-AD). Methods: After generating an initial item-bank, we conducted concept elicitation interviews with clinicians (n = 8) and cognitive interviews with patients (n = 23) for face validity. New items addressed concerns about impact of parental death, making every moment count, communication, and financial impact of cancer on children. We administered 21 candidate items to 151 parents with advanced cancer. We conducted confirmatory factor analysis (CFA), calculated internal consistency, and assessed convergent and known-groups validity. Results: We removed 8 redundant items due to residual covariation between items. CFA of the 13-item PCQ-AD demonstrated satisfactory fit (CFI = 0.971, TLI = 0.966, RMSEA = 0.081) and high internal consistency (Cronbach’s alpha = 0.94, composite reliability = 0.95). The PCQ-AD demonstrated convergent validity and known-groups validity; patients with poor functional status reported higher scores than patients with better functional status (Cohen’s d = 0.56, p = 0.002). Conclusion: Adaptation of the PCQ yielded the addition of constructs important in advanced cancer. The PCQ-AD appears to be a reliable and valid measure of parenting concerns in advanced cancer, but future studies are needed to examine measure performance in diverse populations and responsiveness of the PCQ-AD to interventions.

scholarly journals Development and Evaluation of an Android-based Platform for Early MCI Detection in an Elderly Population

2020 ◽  
Author(s):  
Mahsa Roozrokh Arshadi Montazer ◽  
Roohollah Zahediannasb ◽  
Roxana Sharifian ◽  
Mahshid Tahamtan ◽  
Mahdi Nasiri ◽  
...  
Keyword(s):  
Cognitive Assessment ◽  
Convergent Validity ◽  
Pearson Correlation ◽  
Psychometric Evaluation ◽  
Intermediate Stage ◽  
The Elderly ◽  
Assessment Tools ◽  
Face Validity ◽  
Elderly Subjects ◽  
System Usability Scale

AbstractBackgroundMild cognitive impairment (MCI) is an intermediate stage of cognitive decline fitting in-between normal cognition and dementia. With the growing aging population, this study aimed to develop and psychometrically validate an android-based application for early MCI detection in elderly subjects.MethodThis study was conducted in two phases, including 1-Initial design and prototyping of the application named M-Check, 2-psychometric evaluation. After the design and development of the M-Check app, it was evaluated by experts and elderly subjects. Face validity was determined by two checklists provided to the expert panel and the elderly subjects. Convergent validity of the M-Check app was assessed using the Montreal Cognitive Assessment (MoCA) battery through Pearson correlation. Test-retest and internal consistency and reliability were evaluated using Intra-Class Correlation (ICC) and Kuder-Richardson coefficients, respectively. In addition, the usability was assessed by a System Usability Scale (SUS) questionnaire. SPSS 16.0 was employed to analyze the data.ResultThe app’s usability assessment by elderlies and experts scored 77.11 and 82.5, respectively. Also, the correlation showed that the M-Check app was negatively correlated with the MoCA test (r = -0.71, p <0.005), and the ICC was more than 0.7. Moreover, the Richardson’s Coder coefficient was 0.82, corresponding to an acceptable reliability.ConclusionIn this study, we validated the M-Check app for the detection of MCI based on the growing need for cognitive assessment tools that can identify early decline. Such screeners are expected to take much shorter time than typical neuropsychological batteries do. Additional work are yet to be underway to ensure that M-Check is ready to launch and used without the presence of a trained person.

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