scholarly journals PENGUJIAN KONSTRUK TES POTENSI MANAJERIAL BERDASARKAN VALIDITAS BUTIR DENGAN METODE FACTOR ANALYSIS

2018 ◽  
Vol 2 (1) ◽  
pp. 189
Author(s):  
Rita Markus Idulfilastri
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Factor Loading ◽  
Model Fit ◽  
Confirmatory Factor

Tes Potensi Manajerial merupakan tes psikologi mengukur potensi manajerial dalam ranah kognitif berdasarkan konsep Differentiated Model of Giftedness and Talent (DMGT) yaitu terjadinya proses transformasi potensi menjadi talenta. Tujuan penelitian adalah menguji konstruk tes potensi manajerial yaitu konstruk kognitif, metakognitif dan kreativitas berdasarkan validitas butir menggunakan factor analysis, Confirmatory Factor Analysis (CFA). Jumlah butir tes sebanyak 80 butir, pengambilan data pada sampel di industri otomotif level manajerial Supervisor, Asisten Manager dan Manager berjumlah 181 subyek. Mengingat adanya penambahan butir menjadi 80 butir, dilakukan kategorisasi faktor sebagai uji pendahuluan menggunakan Exploratory Factor Analysis (EFA). Pengolahan data CFA menggunakan program Lisrel version 8.80, hasil pengujian berdasarkan model fit dan butir validi dengan Pvalue > 0,05; factor loading positif; t-value >1,96. Diperoleh hasil 11 indikator dengan jumlah 50 butir valid pada 3 konstruk. Konstruk kognitif terdiri 3 indikator, asumsi, deduktif dan interpretasi, jumlah 17 butir valid; konstruk metakognitif terdiri 5 indikator, deklarasi, kondisi, strategi, pengawasan, evaluasi, jumlah 16 butir valid dan konstruk kreativitas terdiri 3 indikator, fleksibelitas, keberanian berbeda dan spontanitas, jumlah 17 butir valid. Kesimpulan Tes Potensi Manajerial dapat dipakai di industri otomotif menggunakan 11 indikator dan 50 butir valid. Adanya perbedaan komposisi indikator dan jumlah butir yang dihasilkan dibandingkan penelitian sebelumnya sebagai indikasi tipe bisnis atau industri berbeda membutuhkan karakteristik Tes Potensi Manajerial spesifik.

scholarly journals Pembuktian Validitas terkait Struktur Tes Potensi Akademik Pascasarjana (PAPS) Universitas Gadjah Mada

2019 ◽  
Vol 46 (2) ◽  
pp. 145
Author(s):  
Wahyu Widhiarso
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Loading ◽  
Model Fit ◽  
The Other ◽  
Fit Indices ◽  
Confirmatory Factor ◽  
Model Fit Indices ◽  
Academic Potential ◽  
Potential Test

This study examined the construct validity of the Graduate Academic Potential Test (PAPS). The examination was performed on all existing PAPS series (6 forms) to identify the consistency of dimensionality structure of PAPS. Data of this study were analyzed using confirmatory factor analysis (CFA). The results of the analysis support assumption that the structure of the PAPS test is unidimensional. All of the model fit indices support the decision that the unidimensional model fit the data. The study also examined factor loading that the non-verbal components, especially the quantitative components that had a higher factor weight than the other components.

The Hierarchical Model of Exercise Dependence

2015 ◽  
Vol 36 (4) ◽  
pp. 247-257 ◽  
Author(s):  
Gayatri Kotbagi ◽  
Laurence Kern ◽  
Lucia Romo ◽  
Ramesh Pathare
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Physical Exercise ◽  
Exploratory Factor Analysis ◽  
Convergent Validity ◽  
Large Population ◽  
Assessment Tools ◽  
Negative Consequences ◽  
Confirmatory Factor ◽  
Preliminary Version

Abstract. Physical exercise when done excessively may have negative consequences on physical and psychological wellbeing. There exist many scales to measure this phenomenon. The purpose of this article is to create a scale measuring the problematic practice of physical exercise (PPPE Scale) by combining two assessment tools already existing in the field of exercise dependency but anchored in different approaches (EDS-R and EDQ). This research consists of three studies carried out on three independent sample populations. The first study (N = 341) tested the construct validity (exploratory factor analysis); the second study (N = 195) tested the structural validity (confirmatory factor analysis) and the third study (N = 104) tested the convergent validity (correlations) of the preliminary version of the PPPE scale. Exploratory factor analysis identified six distinct dimensions associated with exercise dependency. Furthermore, confirmatory factor analysis validated a second order model consisting of 25 items with six dimensions and four sub-dimensions. The convergent validity of this scale with other constructs (GLTEQ, EAT26, and The Big Five Inventory [BFI]) is satisfactory. The preliminary version of the PPPE must be administered to a large population to refine its psychometric properties and develop scoring norms.

Equivalent Factorial Structure of the Brief Symptom Inventory (BSI) in Clinical and Nonclinical Jordanian Populations

2010 ◽  
Vol 26 (2) ◽  
pp. 116-121 ◽  
Author(s):  
Fawzi S. Daoud ◽  
Amjed A. Abojedi
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Clinical Sample ◽  
Brief Symptom Inventory ◽  
Factorial Structure ◽  
Symptom Inventory ◽  
Confirmatory Factor ◽  
Item Checklist ◽  
General Psychological Distress

This study investigates the equivalent factorial structure of the Brief Symptom Inventory (BSI) in clinical and nonclinical Jordanian populations, using both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The 53-item checklist was administered to 647 nonclinical participants and 315 clinical participants. Eight factors emerged from the exploratory factor analysis (EFA) for the nonclinical sample, and six factors emerged for the clinical sample. When tested by parallel analysis (PA) and confirmatory factor analysis (CFA), the results reflected a unidimensional factorial structure in both samples. Furthermore, multigroup CFA showed invariance between clinical and nonclinical unidimensional models, which lends further support to the evidence of the unidimensionality of the BSI. The study suggests that the BSI is a potentially useful measure of general psychological distress in clinical and nonclinical population. Ideas for further research are recommended.

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.

Understanding Perception of Weight Stigma: Development and Validation of Perceived Weight Stigmatization Scale

2020 ◽  
Vol 34 (4) ◽  
pp. 869-897
Author(s):  
Atiqa Rafeh ◽  
Rubina Hanif
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
University Students ◽  
Exploratory Factor Analysis ◽  
Internal Consistency ◽  
Weight Stigma ◽  
Principal Component Factor Analysis ◽  
Confirmatory Factor ◽  
Perceived Weight ◽  
Weight Stigmatization

The present study was intended to develop a scale to measure perceived weight stigmatization among people with obesity. The study was conducted in five steps. In first step, three focus group discussions were conducted with female obese university students to get the first-hand information related to weight stigmatization. Step two involved four interviews which were conducted with male obese university students to collect detailed information about weight stigmatization experiences of men. Step three included content analysis of qualitative data for item generation. In step four, judge’s opinion was taken, and a committee approach was carried out to select the items for the initial form of the scale. Items for final form of the scale were selected through exploratory factor analysis and confirmatory factor analysis in step five. For exploratory factor analysis, 150 university students (men = 61, women = 89) were included in the sample, whereas, for confirmatory factor analysis, another group of students (men = 78, women = 72) participated in the study. Principal Component Factor Analysis revealed three meaningful structures including Self-Perception, Perceived Social Rejection, and Perceived Impact containing 43 items. Confirmatory factor analysis confirmed this factor structure and all 43 items possessed factor loadings greater than .40. Moreover, results indicated that perceived weight stigmatization had high internal consistency (Cronbach’s alpha = .96) with three subscales having internal consistency .95, .83, and .92 respectively. Therefore, Perceived Weight Stigmatization Scale turned out to be a reliable and valid instrument for measuring perception of weight stigma in adults with obesity.

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.

A Comparison of Reliability Estimation Based on Confirmatory Factor Analysis and Exploratory Structural Equation Models

2021 ◽  
pp. 001316442110089
Author(s):  
Yuanshu Fu ◽  
Zhonglin Wen ◽  
Yang Wang
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Structural Equation ◽  
Reliability Estimation ◽  
Model Fit ◽  
Equation Modeling ◽  
Factor Loadings ◽  
Reliability Estimates ◽  
Confirmatory Factor ◽  
Composite Reliability

Composite reliability, or coefficient omega, can be estimated using structural equation modeling. Composite reliability is usually estimated under the basic independent clusters model of confirmatory factor analysis (ICM-CFA). However, due to the existence of cross-loadings, the model fit of the exploratory structural equation model (ESEM) is often found to be substantially better than that of ICM-CFA. The present study first illustrated the method used to estimate composite reliability under ESEM and then compared the difference between ESEM and ICM-CFA in terms of composite reliability estimation under various indicators per factor, target factor loadings, cross-loadings, and sample sizes. The results showed no apparent difference in using ESEM or ICM-CFA for estimating composite reliability, and the rotation type did not affect the composite reliability estimates generated by ESEM. An empirical example was given as further proof of the results of the simulation studies. Based on the present study, we suggest that if the model fit of ESEM (regardless of the utilized rotation criteria) is acceptable but that of ICM-CFA is not, the composite reliability estimates based on the above two models should be similar. If the target factor loadings are relatively small, researchers should increase the number of indicators per factor or increase the sample size.

scholarly journals Validation of the Spanish-Mexican Version of the Australian Breastfeeding Attitude Questionnaire in Higher Education Health Students

2021 ◽  
Vol 18 (9) ◽  
pp. 4609
Author(s):  
Gabriela Alejandra Grover-Baltazar ◽  
Gabriela Macedo-Ojeda ◽  
Ana Sandoval-Rodríguez ◽  
Marianne Martínez-Vizmanos ◽  
Lucrecia Carrera-Quintanar ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Cronbach’S Alpha ◽  
Cronbach's Alpha ◽  
Positive Attitudes ◽  
Confirmatory Factor ◽  
Valid Instrument ◽  
The One ◽  
Breastfeeding Attitudes

Positive attitudes towards breastfeeding in health professionals/students have been associated with increasing their confidence to provide support and accompaniment to mothers. In Mexico, there is no valid/reliable tool to assess attitudes towards breastfeeding in this population. The Australian Breastfeeding Attitudes (and Knowledge) Questionnaire (ABAQ) measures attitudes in the Australian population. We aimed to adapt and validate the ABAQ in Mexican health students. We included 264 health students (nursing, nutrition, and medicine) from the University of Guadalajara. Bilingual translators carried out the Spanish adaptation with a reverse translation into English. Experts evaluated the content validity. Reliability was evaluated through an internal consistency analysis (Cronbach’s alpha) and construct validity through convergent–divergent validation, item–total correlation, exploratory factor analysis (by principal components), and confirmatory factor analysis. According to the exploratory factor analysis, only one component was identified. Seven items were removed (low correlation between items ≤0.2 and low factor load ≤0.3). The Cronbach’s alpha was 0.78. According to the confirmatory factor analysis, the one-factor solution of the ABAQ-13Mx showed a good model fit (X2 = 98.41, G = 62, p = 0.02, CFI = 0.940, and RMSEA = 0.048). The ABAQ-13Mx is a reliable and valid instrument for evaluating attitudes towards breastfeeding in Mexican health degree students.

Validity Evidence of The HOPE Scale in Korea: Identifying Gifted Students From Low-Income and Multicultural Families

2021 ◽  
pp. 001698622110245
Author(s):  
Hyeseong Lee ◽  
Marcia Gentry ◽  
Yukiko Maeda
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Low Income ◽  
Gifted Education ◽  
Gifted Students ◽  
Factor Loading ◽  
Social Characteristics ◽  
Confirmatory Factor ◽  
Gifted Education Teachers ◽  
Low Income Families

The underrepresentation of students from low-income families and of culturally diverse students is a longstanding and pervasive problem in the field of gifted education. Teachers play an important role in equitably identifying and serving students in gifted education; therefore, the Having Opportunities Promotes Excellence (HOPE) Scale was used in this study with a sample of Korean elementary school teachers ( n = 55) and their students ( n = 1,157). Confirmatory factor analysis and multigroup confirmatory factor analysis results suggested the HOPE Scale shows equivalence of model form, factor loading, and factor variances across different income and ethnic groups. A follow-up interview with teachers ( n = 6) revealed they acknowledged the importance of using the HOPE Scale as an additional method for identifying gifted students; however, they indicated less confidence about rating gifted students’ social characteristics compared with academic components in the HOPE Scale.

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