scholarly journals Thai undergraduate digital citizenship skills education: A second-order confirmatory factor analysis

2021 ◽  
Vol 13 (3) ◽  
pp. 370-385
Author(s):  
Prarichart Ruenphongphun ◽  
Aukkapong Sukkamart ◽  
Paitoon Pimdee
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Latent Variables ◽  
Goodness Of Fit ◽  
Second Order ◽  
Digital Citizenship ◽  
Education Student ◽  
Confirmatory Factor ◽  
Citizenship Skills ◽  
Skills Education

From the study’s initial qualitative analysis, 10 latent variables and 22 indicators concerning digital citizenship skills (DCS) were used in a questionnaire on a sample of 506 Thai Business Computer Programme undergraduate students attending one of six regional Thai Rajabhat Universities. Goodness-of-fit and descriptive statistical analysis [mean, standard deviation, Kaiser–Meyer–Olkin index analysis and Bartlett’s test of sphericity were analysed by using SPSS® for Windows Version 21 and LISREL 9.10 for the second-order confirmatory factor analysis CFA. The results revealed that each student’s opinion on their DCSs had a ‘high agreement’ level. Moreover, importance ranking from high to low of the 10 primary indicators was each student’s footprint (1.00), cyberbullying (1.00), law (0.97), access (0.88), security (0.84), literacy (0.83), empathy (0.81), etiquette (0.80), collaboration (0.70) and thinking (0.65). Therefore, it is suggested that this study’s results be used to assist various agencies and ministries in building programmes for student digital citizenship skills.   Keywords: Digital skills education; student cyberbullying; student digital footprints; teaching digital literacy; Thailand

scholarly journals Validation of the medium and short version of CENSOPAS-COPSOQ: A psychometric study in the Peruvian population

2021 ◽  
Author(s):  
Martha R. Lucero-Perez ◽  
Iselle Sabastizagal ◽  
Jhon Astete ◽  
Miguel Angel Burgos ◽  
David Villarreal-Zegarra ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Goodness Of Fit ◽  
Second Order ◽  
Multidimensional Analysis ◽  
Sufficient Evidence ◽  
Short Version ◽  
Fit Indices ◽  
Psychosocial Risks ◽  
Confirmatory Factor

Abstract Background: The presence of psychosocial risks at work is associated with mental and physical health issues in workers. The study aim was to adapt the COPSOQ-ISTAS21 Medium-Version to the Peruvian context and to develop a Short-Version of the instrument.Method: Cross-sectional design study. The COPSOQ-ISTAS21 Medium Version was used. A confirmatory factor analysis was performed to determine the internal structure of each subdimension (first-order) and dimension (second-order) using the Robust Maximum Likelihood estimation method, and classic fit indices in the literature (CFI, SRMR, RMSEA). Internal consistency was evaluated using the alpha and omega coefficients. A short version was developed based on the items with the highest factorial load and that reduce the factorial complexity.Results: A total of 1707 participants were evaluated. In the confirmatory factor analysis, the goodness-of-fit indices for seventeen of the 20 one-dimensional models (subdimensions) were identified; two subdimensions could not be evaluated because they presented only two items. When conducting a multidimensional analysis, we identified that all second-order models presented optimal goodness-of-fit indices, except “psychological demands at work”. The latter required adding four pairs of correlated errors to reach adequate fit values. Finally, a short version of only 31 items was designed from the items with optimal fit indices.Conclusions: The new adapted versions of COPSOQ-ISTAS21 were renamed CENSOPAS-COPSOQ. The CENSOPAS-COPSOQ is an instrument with sufficient evidence of validity and reliability in its medium and short version, which is why its use is recommended in Peruvian work centers to identify the evaluation and prevention of psychosocial risks at work in Peru.

scholarly journals KONSTRUK KINERJA KEPALA SEKOLAH DASAR DI DAERAH ISTIMEWA YOGYAKARTA

2013 ◽  
Vol 11 (1) ◽  
Author(s):  
Samsul Hadi
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Root Mean Square Error ◽  
Mean Square Error ◽  
Root Mean Square ◽  
Goodness Of Fit ◽  
Second Order ◽  
Mean Square ◽  
Confirmatory Factor ◽  
Fit Index

Penelitian ini bertujuan untuk mengetahui model konstruk dan struktural kinerja kepala sekolah. Hasil penelitian ini diharapkan dapat memberi sumbangan terhadap pengukuran kinerja kepala sekolah di masa yang akan datang. Penelitian ini merupakan penelitian expost facto dengan populasi guru dan kepala sekolah dasar di Daerah Istimewa Yogyakarta. Sampel sebanyak 1239 guru dan 208 kepala sekolah dasar dipilih secara acak. Data guru dan kepala sekolah dianalisis dengan Second-Order Confirmatory Factor Analysis (Second-Order CFA) secara terpisah dan divalidasi silang dengan multi-sample CFA. Pengujian kecocokan model dilakukan menggunakan χ2 Satorra-Bentler dengan taraf signifikansi 5%, Comparative Goodness of Fit Index (CFI), dan Root Mean Square Error Approximation (RMSAE). Hasil penelitian menunjukkan hal-hal sebagai berikut. 1) Kinerja kepala sekolah mempunyai dimensi kepemimpinan, manajemen, dan kepribadian. 2) Berdasarkan data kepala sekolah, koefisien jalur dari dimensi dan muatan faktor dari indikator yang ada dalam model cukup tinggi, bernilai positif, dan signifikan. 3) Hasil validasi silang model konstruk kinerja kepala sekolah menggunakan data guru dan data kepala sekolah menunjukkan tidak ada perbedaan model. Kata kunci: model konstruk, persamaan pengukuran, persamaan struktural, kinerja kepala sekolah

scholarly journals Construct Validity of the Korean Dental Licensing Examination using Confirmatory Factor Analysis

2005 ◽  
Vol 2 ◽  
pp. 75
Author(s):  
Mi Kyoung Yim ◽  
Yoon Hee Kim
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Construct Validity ◽  
Latent Variables ◽  
Goodness Of Fit ◽  
Measurement Model ◽  
Confirmatory Factor ◽  
Medical Legislation ◽  
Licensing Examination ◽  
The Impact

Confirmatory factor analysis based on a measurement model of a structural equation model was used to test the construct validity of 13 subjects in the Korean Dental Licensing Examination (KDLE). The results of 1,086 examinees who wrote the KDLE in 2004 were analyzed. The thirteen subjects were classified into 62 major categories and 122 intermediate categories. There were 364 items. A hierarchical model was constructed, including major and intermediate categories. The impact of the variables was determined by the standardized regression coefficient that related latent and measured variables in the measurement model. The KDLE showed a high goodness-of-fit with a root mean square error of approximation of 0.030 and a non-normed fit index of 0.998. When the latent variables for the major and intermediate categories were analyzed, the standardized regression coefficients of all of the subjects, with the exception of Health and Medical Legislation, were significant. From the result, we concluded that the 13 subjects showed constructive validity. In addition, the study model and data were very compatible. The subject Health and Medical Legislation had a low explanatory impact with respect to testing the ability of dentists to perform their jobs. This study suggests that similar psychometric studies are needed before integrating or deleting subjects on the KDLE, and to improve item development.

Confirmatory Factor Analysis of the Long and Short Forms of the Worry Domains Questionnaire

2009 ◽  
Vol 25 (4) ◽  
pp. 239-243
Author(s):  
Roberto Nuevo ◽  
Andrés Losada ◽  
María Márquez-González ◽  
Cecilia Peñacoba
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Goodness Of Fit ◽  
Factorial Validity ◽  
Fit Indices ◽  
Short Forms ◽  
Confirmatory Factor ◽  
Positive Correlations ◽  
Future Work

The Worry Domains Questionnaire was proposed as a measure of both pathological and nonpathological worry, and assesses the frequency of worrying about five different domains: relationships, lack of confidence, aimless future, work, and financial. The present study analyzed the factor structure of the long and short forms of the WDQ (WDQ and WDQ-SF, respectively) through confirmatory factor analysis in a sample of 262 students (M age = 21.8; SD = 2.6; 86.3% females). While the goodness-of-fit indices did not provide support for the WDQ, good fit indices were found for the WDQ-SF. Furthermore, no source of misspecification was identified, thus, supporting the factorial validity of the WDQ-SF scale. Significant positive correlations between the WDQ-SF and its subscales with worry (PSWQ), anxiety (STAI-T), and depression (BDI) were found. The internal consistency was good for the total scale and for the subscales. This work provides support for the use of the WDQ-SF, and potential uses for research and clinical purposes are discussed.

Probability-Based and Measurement-Related Hypotheses With Full Restriction for Investigations by Means of Confirmatory Factor Analysis

Methodology ◽  
2011 ◽  
Vol 7 (4) ◽  
pp. 157-164
Author(s):  
Karl Schweizer
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Cognitive Processing ◽  
Latent Variables ◽  
Repeated Measures ◽  
Latent Variable ◽  
Model Fit ◽  
Repeated Measures Data ◽  
Confirmatory Factor ◽  
And Performance

Probability-based and measurement-related hypotheses for confirmatory factor analysis of repeated-measures data are investigated. Such hypotheses comprise precise assumptions concerning the relationships among the true components associated with the levels of the design or the items of the measure. Measurement-related hypotheses concentrate on the assumed processes, as, for example, transformation and memory processes, and represent treatment-dependent differences in processing. In contrast, probability-based hypotheses provide the opportunity to consider probabilities as outcome predictions that summarize the effects of various influences. The prediction of performance guided by inexact cues serves as an example. In the empirical part of this paper probability-based and measurement-related hypotheses are applied to working-memory data. Latent variables according to both hypotheses contribute to a good model fit. The best model fit is achieved for the model including latent variables that represented serial cognitive processing and performance according to inexact cues in combination with a latent variable for subsidiary processes.

512 Confirmatory Factor Analysis of the Sleep Inertia Questionnaire in a Clinical Sample with Sleep Disorders

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A201-A202
Author(s):  
Kristina Puzino ◽  
Susan Calhoun ◽  
Allison Harvey ◽  
Julio Fernandez-Mendoza
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Construct Validity ◽  
Sleep Disorders ◽  
Goodness Of Fit ◽  
Criterion Validity ◽  
Clinical Samples ◽  
Sleep Inertia ◽  
Confirmatory Factor ◽  
Sensitivity Specificity

Abstract Introduction The Sleep Inertia Questionnaire (SIQ) was developed and validated in patients with mood disorders to evaluate difficulties with becoming fully awake after nighttime sleep or daytime naps in a multidimensional manner. However, few data are available regarding its psychometric properties in clinical samples with sleep disorders. Methods 211 patients (43.0±16.4 years old, 68% female, 17% minority) evaluated at the Behavioral Sleep Medicine (BSM) program of Penn State Health Sleep Research & Treatment Center completed the SIQ. All patients were diagnosed using ICSD-3 criteria, with 111 receiving a diagnosis of chronic insomnia disorder (CID), 48 of a central disorder of hypersomnolence (CDH), and 52 of other sleep disorders (OSD). Structural equation modelling was used to conduct confirmatory factor analysis (CFA) of the SIQ. Results CFA supported four SIQ dimensions of “physiological”, “cognitive”, “emotional” and “response to” (RSI) sleep inertia with adequate goodness-of-fit (TLI=0.90, CFI=0.91, GFI=0.85, RMSEA=0.08). Internal consistency was high (α=0.94), including that of its dimensions (physiological α=0.89, cognitive α=0.94, emotional α=0.67, RSI α=0.78). Dimension inter-correlations were moderate to high (r=0.42–0.93, p<0.01), indicating good construct validity. Convergent validity showed moderate correlations with Epworth sleepiness scale (ESS) scores (r=0.38) and large correlations with Flinders fatigue scale (FFS) scores (r=0.65). Criterion validity showed significantly (p<0.01) higher scores in subjects with CDH (69.0±16.6) as compared to those with CID (54.4±18.3) or OSD (58.5±20.0). A SIQ cut-off score ≥57.5 provided a sensitivity/specificity of 0.77/0.65, while a cut-off score ≥61.5 provided a sensitivity/specificity of 0.71/0.70 to identify CDH vs. ESS<10 (AUC=0.76). Conclusion The SIQ shows satisfactory indices of reliability and construct validity in a clinically-diverse sleep disorders sample. Its criterion validity is supported by its divergent association with hypersomnia vs. insomnia disorders, as well as its adequate sensitivity/specificity to identify patients with CDH. The SIQ can help clinicians easily assess the complex dimensionality of sleep inertia and target behavioral sleep treatments. Future studies should confirm the best SIQ cut-off score by including good sleeping controls, while clinical studies should determine its minimal clinically important difference after pharmacological or behavioral treatments. Support (if any):

scholarly journals Assessing teacher leadership in physical education: the Spanish version of the transformational teaching questionnaire

2018 ◽  
Vol 34 (2) ◽  
pp. 405 ◽  
Author(s):  
Octavio Alvarez ◽  
Ines Tomas ◽  
Isaac Estevan ◽  
Javier Molina-García ◽  
Ana Queralt ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Transformational Leadership ◽  
Physical Education ◽  
Confirmatory Factor Analysis ◽  
Goodness Of Fit ◽  
Leadership Theory ◽  
Spanish Version ◽  
Transformational Teaching ◽  
Confirmatory Factor ◽  
Gender Groups

<p>Drawing from the transformational leadership theory, this study aims to translate and analyse the psychometric properties of a Spanish version of the Transformational Teaching Questionnaire (TTQ).</p><p>A cohort sample of 2107 adolescents (997 males and 1110 females) from 82 secondary schools voluntarily participated in the research.</p><p>In Study 1 ((<em>n</em> = 1066), the exploratory factor analysis informed a one-factor solution. In Study 2  (<em>n</em> = 1041), the confirmatory factor analysis showed the single-factor and the four-factor models showed satisfactory and adequate goodness of fit indices, respectively. Confirmatory factor analysis demonstrated that the four-factor structure of transformational teaching with a high second-order factor, previously found in Canadian adolescents, was replicated in this study. Internal consistency was high in all subscales and in the total scale. The expected pattern of significant relationships with other variables was supported, and evidence of measurement invariance across gender groups was obtained.</p><p>This study provides evidence for the cross-cultural validation of the TTQ, a questionnaire designed to assess students’ perceptions of their teachers’ behaviours from the perspective of transformational leadership theory. These findings suggested that the Spanish version of TTQ would be useful for assessing transformational teaching in Spanish adolescents in physical education classes.</p>

Maladaptive and Adaptive Cognitions About the Self and Others: Confirmatory Factor Analysis of the Brief Core Schemas Scales

2022 ◽  
pp. 003329412110636
Author(s):  
Bruno Faustino
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Goodness Of Fit ◽  
Factor Model ◽  
Well Being ◽  
The Self ◽  
Fit Indices ◽  
Portuguese Population ◽  
Dysfunctional Cognitions ◽  
Confirmatory Factor

The presence of dysfunctional cognitions about how individuals see themselves and others is a hallmark of psychopathology. The Brief Core Schemas Scale (BCSS) was developed to evaluate adaptive and dysfunctional beliefs about the self and others. This study describes the first psychometric analysis of the BCSS in the Portuguese population. Participants were recruited from community ( N = 320, Mage=27.31, DP = 12.75). Confirmatory factor analysis (CFA) was used to confirm the BCSS factorial structure. Four-factor model revealed moderate to adequate goodness-of-fit indices (χ2/df = 717.1, (246) p = .01; SRMR = .044; RMSEA = .077; CFI/TLI < .90). Negative views of the self and others correlated positively with early maladaptive schemas, distress, and symptomatology and correlated negatively with psychological well-being. An inversed correlational pattern was found with the positive views of the self and others. Despite the model's moderate adherence to the data, results suggest that the BCSS may be an asset in the assessment of dysfunctional and adaptive cognitions about the self and others. Further analysis is required to deepen the psychometric properties of the BCSS in the Portuguese population.

The Self-Transcendence Scale

2011 ◽  
Vol 30 (3) ◽  
pp. 147-159 ◽  
Author(s):  
Gørill Haugan ◽  
Toril Rannestad ◽  
Helge Garåsen ◽  
Randi Hammervold ◽  
Geir Arild Espnes
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Goodness Of Fit ◽  
Factor Model ◽  
Well Being ◽  
The Self ◽  
Mean Square ◽  
Confirmatory Factor ◽  
Self Transcendence ◽  
Fit Index

Purpose: Self-transcendence, the ability to expand personal boundaries in multiple ways, has been found to provide well-being. The purpose of this study was to examine the dimensionality of the Norwegian version of the Self-Transcendence Scale, which comprises 15 items. Background: Reed’s empirical nursing theory of self-transcendence provided the theoretical framework; self-transcendence includes an interpersonal, intrapersonal, transpersonal, and temporal dimension. Design: Cross-sectional data were obtained from a sample of 202 cognitively intact elderly patients in 44 Norwegian nursing homes. Results: Exploratory factor analysis revealed two and four internally consistent dimensions of self-transcendence, explaining 35.3% (two factors) and 50.7% (four factors) of the variance, respectively. Confirmatory factor analysis indicated that the hypothesized two- and four-factor models fitted better than the one-factor model (c x2, root mean square error of approximation, standardized root mean square residual, normed fit index, nonnormed fit index, comparative fit index, goodness-of-fit index, and adjusted goodness-of-fit index). Conclusions: The findings indicate self-transcendence as a multifactorial construct; at present, we conclude that the two-factor model might be the most accurate and reasonable measure of self-transcendence. Implications: This research generates insights in the application of the widely used Self-Transcendence Scale by investigating its psychometric properties by applying a confirmatory factor analysis. It also generates new research-questions on the associations between self-transcendence and well-being.

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