Psychometric properties of the Arabic version of the cardiac depression scale tested on Jordanian patients with cardiovascular diseases
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The Cardiac Depression Scale (CDS) is an instrument to screen for depression, specifically in patients with cardiovascular diseases (CVD). The purpose of this study was to evaluate the psychometric properties of the Arabic version of the CDS in the Jordanian population.A cross-sectional design was used for 304 participants diagnosed with CVD. An exploratory factor analysis (EFA) was performed to explore the underlying structure of the new Arabic version of the CDS tool.Cronbach's alpha for the total scale was 0.87. An EFA suggested a two-factor solution. The first factor has 18 items, measuring "My tolerance" of CVD, and the second factor has seven items, measuring "My activities" in the context of CVD. Based on the EFA simple structure, one item was removed due to its low factor loading (< 0.3). A confirmatory factor analysis (CFA) supported a two-factor model with the root mean square error of approximation (RMSEA = 0.06), comparative fit index (CFI = 0.856), and Tucker-Lewis index (TLI = 0.83) indicating acceptable fit. The Cronbach's alpha values for the first and second factors were 0.86 and 0.84, respectively.The Arabic version of the CDS is a reliable and valid instrument to screen for depression among Jordanian patients with CVD.Keywords:
Exploratory factor analysis
Depression
This survey study was carried out to review the generic skills (GS) model for engineering students. A total of 527 respondents were involved in this research. The variables presented in this research were the skill of gathering and analyzing information, communication skill, team working skill, problem solving skill, life long learning skill, technology utilization skill, critis and creative thinking skill, entrepreunuership, leadership and personal qualities. Data were analyzed descriptively for reliability (Cronbach Alpha values) and confirmatory factor analysis (CFA) was used to obtain 10 factor solutions using AMOS software. The results showed that the Cronbach Alpha was on the classification of high and very high which was higher than 0.70. Result of second order CFA confirmed 10 factors solution with data collected was fit with model. The study also proposed a model of generic skills for engineering students. KEYWORDS: generic skills, engineering students, confirmatory factor analysis
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The heat wave knowledge, awareness, practice and behavior scale: Translation and validation in Greek
Abstract OBJECTIVE To translate and validate the heat wave knowledge, awareness, practice and behavior scale (HWKAPBS) in Greek. METHOD We conducted a cross-sectional study in Greece with a convenience sample of 147 individuals. We assessed test-retest reliability, internal reliability, face validity and construct validity. We calculated intraclass correlation coefficients, the Kuder-Richardson Formula 20, and Cronbach’s coefficient alpha. Moreover, we performed confirmatory factor analysis to assess the construct validity of the HWKAPBS. RESULTS Intraclass correlation coefficients for the four constructs (knowledge, awareness, practice and behavior) ranged from 0.918 to 0.993 (p<0.001 in all cases). All model fit indices in the confirmatory factor analysis were acceptable. Thus, confirmatory factor analysis confirmed the structure of the original version of the HWKAPBS with the four structures: knowledge, awareness, practice and behavior. Correlations between awareness, practice and behavior constructs were very high and statistically significant (p<0.001 in all cases). Kuder-Richardson Formula 20 for the knowledge construct was 0.611. Moreover, Cronbach’s coefficients alpha for the awareness, practice and behavior constructs were 0.929, 0.866, and 0.766 respectively. CONCLUSIONS The HWKAPBS is a brief, reliable and valid tool to measure knowledge, attitudes and practice of general public about heat waves.
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Cronbach's alpha is a potentially useful statistic for scale development that can be misleading when used improperly. As a result, it is important for human dimensions researchers to use the statistic cautiously. The purpose of this study is to explore the importance of segmentation and confirmatory factor analysis in scale development. Data were obtained from mail surveys on wolves and wolf management given to Grand Teton National Park visitors and Greater Yellowstone Area residents. Cronbach's alpha was calculated on the survey questions regarding emotions about wolves for park visitors and local residents merged and each segment individually. Confirmatory factor analysis was also conducted on each segment. Beyond demonstrating the importance of confirmatroy factor analysis in scale development, results suggest that segmentation is an important consideration. Indices commonly used by researchers to measure social science concepts such as emotions about wolves cannot be assumed to fit all segments.
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Objective To explore the role of confirmatory factor analysis in checking the new questionnaire's construct validity.Methods Using QOL-HBV as a tool,the questionnaire's construct validity was estimated by exploratory factor analysis(principal component analysis,varimax rotation) and confirmatory factor analysis.Results Exploratory factor analysis made QOL-HBV including eight factors,every factor had reasonable explanation(KMO value was 0.883,explanatory total variance was 69.15%),then using factor analysis got two factors;employing confirmatory factor analysis on the eight factors by AMOS got the two-orders and seven factors model.χ2/DF was 1.310,GFI0.90,AGFI0.90.Conclusion The factors using exploratory factor analysis are still having some potential connections and can not be explained.Confirmatory factor analysis can redeem the defect,so it is the best way to combine confirmatory factor analysis with exploratory factor analysis to estimate the questionnaire's construct validity.
Varimax rotation
Exploratory factor analysis
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Food souvenirs as the tangible reminder that encounters the travelling experience are considered as an essential element in the tourism industry. However, the studies exploring the dimension of food souvenirs, are limited, and most of them applying single factor analysis, either exploratory or confirmatory. In response to the identified gap, this research scrutinizes the aspects of food souvenirs by utilizing a mixed method of exploratory-confirmatory factor analysis. The data was collected from 252 domestic tourists in Bandung, Indonesia. The exploratory factor analysis test identifies four dimensions of food souvenirs: tangible, brand and packaging, value, food quality. Although confirming the food souvenir dimension, the confirmatory factor analysis notes that the elements of the dimensions are different from that identified in exploratory factor analysis. Besides offering a theoretical understanding on the food souvenirs dimension, this study extends our understanding of a methodological issue that the exploratory-confirmatory factor analysis offers a better explanation on the food souvenir dimension compared to that of single factor analysis.
Exploratory factor analysis
Exploratory analysis
Exploratory research
Factor Analysis
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The psychometric properties of a questionnaire to measure and compare student satisfaction with instruction in Face-to-Face Education (FFE) and Emergency Remote Education (ERE) scenarios were analyzed. The sample consisted of 393 students from a Mexican public university. An Exploratory Factor Analysis (EFA) was performed for the application of the questionnaire in the FFE scenario revealed a four-factor/dimensional solution with an explained variance of 66.45%; the Cronbach's alpha internal consistency coefficient for the application in the EP scenario was .904. The EFA results for the questionnaire application in the ERE scenario revealed a four-factor/dimensional solution that explained 76.30% of the variance; Cronbach's alpha internal consistency coefficient for this scenario was .951. The results revealed solutions congruent with the theory and structure of the questionnaire.
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Despite the importance of perceived barriers against self-care in diabetic patients, the role of this factor is rarely addressed in the improvement of self-care behaviors of Iranian patients. The lack of appropriate instruments that fit demographic properties of Iranian society is one reason. The aim of this study was to develop and validate the scale of perceived barriers to self-care in patients with type 2 diabetes mellitus.This cross-sectional study conducted on 400 patients with type 2 diabetes who were covered by the health centers in Isfahan (Iran) in 2015. A 22-item, researcher-made instrument was designed; the face and content validities of the instrument were examined through obtaining the opinions of an expert panel before administering the instrument in the study. Also, the exploratory factor analysis was used to investigate the instrument's validity. Cronbach's alpha was employed to measure its internal consistency (reliability). To examine the validity of the final scale, the mean scores of perceived barriers in patients with appropriate and inappropriate self-care behaviors were compared.The research sample was comprised of 240 women (60%) and 160 men (40%). The mean value of the content validity index was 0.84. The results of factor analysis confirmed the validity of the 11 items and 3 factors of the developed scale. The factor loading ranged from 0.46 to 0.78. These three factors together explained 40.28% of the total variance. The overall reliability coefficient of the instrument was 0.79, ranging from 0.82 to 0.93 for three factors.According to the results, the developed scale was a valid and reliable instrument for examining the barriers perceived by the patients. The findings of this research can help health policy makers in planning to facilitate the self-care behaviors as the most vital factor in diabetes control.
Exploratory factor analysis
Content Validity
Face validity
Validity
Item analysis
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This survey study was carried out to review the measurement items of learning environment model for
engineering students. A total of 535 respondents were involved in this research. The variables presented in this research were the peer interaction, lecturer interaction and education facilities. Data were analyzed
descriptively for reliability (Cronbach Alpha values) and confirmatory factor analysis (CFA) was used to
obtain 3 factor solutions using AMOS software. The results showed that the Cronbach Alpha was on the
classification of high and very high which was higher than 0.70. Result of CFA confirmed 3 factors solution
with data collected was fit with model. The study also proposed a model of learning environment for
engineering students.
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The study was conducted to produce empirical data on the reliability and validity of the Teaching Framework for Mathematics (TF@Maths) questionnaire. A survey was conducted in one public university and one institution of teacher education in Northern Zone of Malaysia towards 436 students from the Mathematics Education. The reliability and validity of the TF@Maths questionnaire were tested with the Cronbach’s alpha and Exploratory Factor Analysis (EFA) respectively using the Statistical Package for the Social Sciences (SPSS) software version 23. The TF@Maths questionnaire is a 7 point Likert- scale survey consisted of 86 items. The Cronbach’s alpha test conducted shows that the overall score was 0.939 indicating high reliability of the items in the instrument. For validity, EFA was then conducted with the items using principal component analysis extraction and Varimax rotation. There were 62 items retaining with the factor loadings that was above 0.4. The factor analysis shows that the TF@Maths produced six factors, namely: mathematics content knowledge, mathematical pedagogical knowledge, general pedagogical knowledge, classroom management skill, mathematics disposition and quality mathematics teacher. The findings of TF@Maths will bebefit educational practitioners in designing a Teaching Mathematics Framework.
Varimax rotation
Exploratory factor analysis
Content Validity
Validity
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