scholarly journals Validation of Digital Readiness for Academic Engagement (DRAE) Scale in Pakistani Healthcare Students.

2021 ◽  
Vol 4 (1) ◽  
pp. 23-26
Author(s):  
Komal Atta ◽  
Zakia Saleem ◽  
Nabila Talat ◽  
Muhammad Muneeb Chouhan ◽  
Muhammad Haroon Hamid
Keyword(s):  
Factor Analysis ◽  
Undergraduate Students ◽  
Academic Engagement ◽  
Factor Model ◽  
Factor Loading ◽  
Demographic Variables ◽  
Faculty Members ◽  
Health Science ◽  
Healthcare Students ◽  
Confirmatory Factor

Introduction: Digitalization in the 21st century has transformed nearly all aspects of our society, including education. However, many believe that this transformation is occurring with little strategic planning and much may not be ready for all that it brings to the table. The Digital Readiness for Academic Engagement (DRAE) scale is a useful tool and merits validation in different contexts for effective use.Objective: To validate the DRAE scale in healthcare students in Pakistan.Methods: The scale was circulated electronically via Google forms to faculty members of different medical colleges and universities of Punjab using the convenience-sampling method for sharing with their students. A total of 7 institutions participated. The responses were collected from a sample of 1744 undergraduate students. The demographic variables included gender, semester enrolled, and age. Data were analyzed using SPSS version 25 (for exploratory factor analysis) and AMOS version 26 (for confirmatory factor analysis).Results: The mean age of the respondents stood at (SD=20.55 ± 1.6). The largest proportion of students were from MBBS (41%), followed by allied health science and Dentistry. EFA results in the two-factor model which was confirmed by CFA. The goodness-off indices were achieved by removing four items (1, 2, 7, 8) with factor loading below .80 and by drawing covariance between errors.Conclusion: The original model with 5 factors was not applicable and a 2-factor model was validated by CFA for our context.KEYWORDS: Digital Readiness, Academic Engagement, Medical Education, Digitization & Validation.

Confirmatory Factor Analysis of Dospert Scale with Chinese University Students

2014 ◽  
Vol 114 (1) ◽  
pp. 185-197 ◽  
Author(s):  
Joseph Wu ◽  
Hoi Yan Cheung
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Undergraduate Students ◽  
Risk Taking ◽  
Factor Model ◽  
Empirical Support ◽  
Convenience Sample ◽  
Domain Specific ◽  
Confirmatory Factor

The factor structure of the 30-item Domain Specific Risk Taking Attitude (DOSPERT) scale (Blais & Weber, 2006) was examined with a convenience sample of 205 Chinese undergraduate students from Macao. A comparison of five competing models via confirmatory factor analysis yielded empirical support for the perspective that risk-taking attitude was content-dependent. After removing the items in the Financial subscale of the DOSPERT scale and some post hoc modifications, a reasonably good fit to the four-correlated-factor model was achieved, in concordance with the theoretical framework. However, items in some scales needed further revision to purify their factor structure so that the DOSPERT scale would be a more psychometrically sound measure for investigating one's risk-taking attitudes in different life domains.

scholarly journals Validity and Reliability of the Academic Resilience Scale in Undergraduate Students of Ahvaz Universities

2020 ◽  
Author(s):  
M Sodani ◽  
R Ghasemi Jobaneh
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Undergraduate Students ◽  
Academic Engagement ◽  
Convergent Validity ◽  
Academic Resilience ◽  
Validity And Reliability ◽  
Alpha Coefficient ◽  
Resilience Scale ◽  
Confirmatory Factor

Introduction: Given the importance of academic resilience in students' academic life, the aim of this study was the validity and reliability of the academic resilience scale in undergraduate students of Ahvaz universities. Methods: in this descriptive psychometric study, the number of 306 undergraduate students from Ahvaz universities (Jundishapur University of Medical Sciences, Shahid Chamran University, Islamic azad University) were selected using Voluntary sampling method and responded to the Cassidy Academic resilience Scale and Fredericks et al. Academic Engagement Scale. Reliability using Cronbach's alpha coefficient, Convergent validity using Pearson correlation coefficient, and construct validity using confirmatory factor analysis were calculated.The collected data were analyzed using SPSS-23 and AMOS-21 software. Result: Confirmatory factor analysis demonstrated that the ratio χ2/df is 1.89 for three factor structure and fit indexes of model were satisfactory and reasonable. Reliability according to Cronbach's alpha coefficient for Academic resilience Scale was reported 0.85 (perseverance = 0.75, reflecting and adaptive help-seeking= 0.76, negative affect and emotional response= 0.78).  There is also a positive and significant correlation between academic resilience and Academic Engagement and Convergent validity is confirmed (r= 0.35). Conclusion: According to the results of current research, the Academic resilience Scale is a reliable instrument with valid psychometric properties to measure Academic Adjustment in Iranian students and students with lower academic resilience can be identified And take appropriate psychological measures for them.

scholarly journals Psychometric Evaluation of the Malay Version of the Family Adaptability and Cohesion Evaluation Scale III for Malaysian Adolescents

2021 ◽  
Vol 19 (1) ◽  
pp. 156
Author(s):  
Chin Wen Cong ◽  
Chee-Seng Tan ◽  
Hooi San Noew ◽  
Shin Ling Wu
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Factor Model ◽  
Psychometric Evaluation ◽  
Factor Loading ◽  
Factor Models ◽  
Validation Sample ◽  
Family Adaptability ◽  
Confirmatory Factor ◽  
The Family

The Family Adaptability and Cohesion Scale III (FACES-III) has been widely used to measure an individual’s family functioning in terms of cohesion and adaptability. In Malaysia, the FACES-III has been translated into the Malay language for the community, but its psychometric properties in this context remain unknown. Thus, the purpose of this research is to examine the psychometric properties of the Malay version of the FACES-III in 852 adolescents attending secondary schools in Kuala Lumpur, Malaysia. Data were randomly split into two halves: the exploration sample and the validation sample. Exploratory factor analysis was conducted on the exploration sample and a two-factor model was discovered after removing nine items that showed low factor loading. Then, confirmatory factor analysis was conducted on the validation sample to compare the one-factor models, two-factor models, and three-factor models. Results showed that the 11-item two-factor model (FACES-III-M-SF) was superior to the other competing models. Both the exploratory and confirmatory factor analyses replicated the two-factor structure of the original version of FACES-III. The reliability of the overall scale was consistently good, but the subscale results were mixed. This suggests that researchers should use the overall score, but not the subscale scores, in analyses.

scholarly journals A factor analytic examination of the Achievement Goal Questionnaire-Revised: A three-factor model

2017 ◽  
Author(s):  
Kamden K Strunk
Keyword(s):  
Factor Analysis ◽  
Undergraduate Students ◽  
Achievement Goals ◽  
Factor Model ◽  
Achievement Goal ◽  
Factor Solution ◽  
Factor Analytic ◽  
Confirmatory Factor ◽  
Best Fit ◽  
Three Factor

The literature in achievement goals includes mixed results as to the factor structure of achievement goal measures, particularly the Achievement Goal Questionnaire, Revised (AGQ-R). In a sample of 1,496 undergraduate students (600 men, 891 women, 5 gender unreported; M age = 20.6 yr., SD = 3.2), the AGQ-R was subjected to an exploratory factor analysis that suggested three factors. Then, in a different sample of 1,125 undergraduate students (270 men, 750 women, 5 gender unreported; M age = 21.7 yr., SD = 5.4), the measure was subjected to a confirmatory factor analysis, in which a three-factor solution, again, showed the best fit to the observed data. The implications of these results for the measurement of achievement goals are discussed.

scholarly journals A Factor Analytic Examination of the Achievement Goal Questionnaire–Revised Supports a Three-Factor Model

2014 ◽  
Vol 115 (2) ◽  
pp. 400-414 ◽  
Author(s):  
Kamden K. Strunk
Keyword(s):  
Factor Analysis ◽  
Undergraduate Students ◽  
Achievement Goals ◽  
Factor Model ◽  
Achievement Goal ◽  
Factor Solution ◽  
Factor Analytic ◽  
Confirmatory Factor ◽  
Best Fit ◽  
Three Factor

The literature in achievement goals includes mixed results as to the factor structure of achievement goal measures, particularly the Achievement Goal Questionnaire–Revised (AGQ–R). In a sample of 1,496 undergraduate students (600 men, 891 women, 5 unreported sex; M age = 20.6 yr., SD = 3.2), the AGQ–R was subjected to an exploratory factor analysis that suggested three factors. Then, in a different sample of 1,125 undergraduate students (270 men, 750 women, 5 unreported sex; M age = 21.7 yr., SD = 5.4), the measure was subjected to a confirmatory factor analysis, in which a three-factor solution, again, showed the best fit to the observed data. The implications of these results for the measurement of achievement goals are discussed.

scholarly journals PSYCHOMETRIC PROPERTIES OF ANXIETY ABOUT AGING SCALE AMONG MALAYSIAN YOUTHS: A CONFIRMATORY FACTOR ANALYSIS

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Hazwan Mat Dina ◽  
Halimatus Sakdiah Minhata
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Model ◽  
Factor Loading ◽  
Validity And Reliability ◽  
Good Reliability ◽  
Cross Sectional ◽  
Confirmatory Factor ◽  
Model Fit Indices ◽  
Aging Anxiety

The Anxiety about Aging Scale (AAS) is a questionnaire developed based on multidimensional aging anxiety to measure anxiety towards aging. However, the AAS constructs and items vary depending on the study population. This study aimed to explore the validity and reliability of AAS through evaluation of exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) among youths in Malaysia. A cross-sectional was conducted among 1988 university and college students in Klang Valley, Malaysia, selected using stratified proportionate random sampling. EFA results suggested four factors solution based on the interpretation of Eigenvalues and scree plot with 59.11% variance extracted. Results of CFA supported the four-factor model of revised 17-item AAS with acceptable model fit indices and high factor loading. The revised 17-item AAS has good reliability through the assessment of the internal consistency of the items. In conclusion, the revised 17-item AAS measures four distinct factors is a valid and reliable questionnaire to measure anxiety towards aging among Malaysian youths

Factorial Structure of the Therapist Adherence Measure-Revised (TAM-R) Within Multisystemic Therapy

2020 ◽  
Vol 36 (2) ◽  
pp. 427-431
Author(s):  
Aurelie M. C. Lange ◽  
Marc J. M. H. Delsing ◽  
Ron H. J. Scholte ◽  
Rachel E. A. van der Rijken
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Multisystemic Therapy ◽  
Model Fit ◽  
Validity And Reliability ◽  
Adherence Measure ◽  
Therapist Adherence ◽  
Confirmatory Factor ◽  
The Us

Abstract. The Therapist Adherence Measure (TAM-R) is a central assessment within the quality-assurance system of Multisystemic Therapy (MST). Studies into the validity and reliability of the TAM in the US have found varying numbers of latent factors. The current study aimed to reexamine its factor structure using two independent samples of families participating in MST in the Netherlands. The factor structure was explored using an Exploratory Factor Analysis (EFA) in Sample 1 ( N = 580). This resulted in a two-factor solution. The factors were labeled “therapist adherence” and “client–therapist alliance.” Four cross-loading items were dropped. Reliability of the resulting factors was good. This two-factor model showed good model fit in a subsequent Confirmatory Factor Analysis (CFA) in Sample 2 ( N = 723). The current finding of an alliance component corroborates previous studies and fits with the focus of the MST treatment model on creating engagement.

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.

Depression among children at shelter care institutions in Terengganu Malaysia

2020 ◽  
Vol 11 (1) ◽  
pp. 17
Author(s):  
Siti Hajar Abdul Rauf ◽  
Asmah Ismail ◽  
Nuratikah Azima Razali ◽  
Ahmad Bisyri Husin Musawi Maliki
Keyword(s):  
Factor Analysis ◽  
Quantitative Research ◽  
Family Stress ◽  
Factor Loading ◽  
Self Esteem ◽  
Keywords Children ◽  
Self Confidence ◽  
Confirmatory Factor ◽  
The Status ◽  
Forward Stepwise

Background: Depression is a state of psychological disease that occurs to someone divers in age due to certain reasons. Among the factors include lack of self-confidence, problematic family, stress, low self-esteem and social environment. It could lead to a mental disorder that endangers the mental health. Aim: To investigate the status of children depression using the Children Depression Inventory (CDI) at 21 shelter care institutions in Terengganu Malaysia. Methodology: Quantitative research design was used. The sample consists of 404 respondents from 21 Islamic shelter cares such as Tahfiz, Madrasah and Orphanage in Terengganu Malaysia from the age of 10 to 18 years. Data was analyzed using Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA) and Discriminant Analysis (DA) which then computed to identify the most dominant factors whereas reducing the initial five parameters with recommended >0.50 of factor loading. Results: Forward stepwise of DA shows the total of groups validation percentage by 92.08% (17 independent). The result showed that the highest frequency of respondent index was at a moderate level (62.87% respondents). This showed that children still can be controlled and cared to reduce depression. Keywords: Children Depression Index, Depression, Children, Institution, Shelter Care

An investigation into the factor structure of the Cognitive Therapy Scale – Revised (CTS-R) in a CBT training sample

2021 ◽  
pp. 1-11
Author(s):  
Sarah Beale ◽  
Silia Vitoratou ◽  
Sheena Liness
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Cognitive Therapy ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Single Factor ◽  
Behaviour Therapy ◽  
Cognitive Behaviour ◽  
Confirmatory Factor

Abstract Background: Effective monitoring of cognitive behaviour therapy (CBT) competence depends on psychometrically robust assessment methods. While the UK Cognitive Therapy Scale – Revised (CTS-R; Blackburn et al., 2001) has become a widely used competence measure in CBT training, practice and research, its underlying factor structure has never been investigated. Aims: This study aimed to present the first investigation into the factor structure of the CTS-R based on a large sample of postgraduate CBT trainee recordings. Method: Trainees (n = 382) provided 746 mid-treatment audio recordings for depression (n = 373) and anxiety (n = 373) cases scored on the CTS-R by expert markers. Tapes were split into two equal samples counterbalanced by diagnosis and with one tape per trainee. Exploratory factor analysis was conducted. The suggested factor structure and a widely used theoretical two-factor model were tested with confirmatory factor analysis. Measurement invariance was assessed by diagnostic group (depression versus anxiety). Results: Exploratory factor analysis suggested a single-factor solution (98.68% explained variance), which was supported by confirmatory factor analysis. All 12 CTS-R items were found to contribute to this single factor. The univariate model demonstrated full metric invariance and partial scalar invariance by diagnosis, with one item (item 10 – Conceptual Integration) demonstrating scalar non-invariance. Conclusions: Findings indicate that the CTS-R is a robust homogenous measure and do not support division into the widely used theoretical generic versus CBT-specific competency subscales. Investigation into the CTS-R factor structure in other populations is warranted.

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