scholarly journals The validity and reliability of a problem-based learning implementation questionnaire

2015 ◽  
Vol 12 ◽  
pp. 22
Author(s):  
Bhina Patria
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Medical School ◽  
Problem Based Learning ◽  
Analysis Model ◽  
Validity And Reliability ◽  
Factor Analysis Model ◽  
Confirmatory Factor ◽  
Loading Estimates

Purpose: The aim of this paper is to provide evidence for the validity and reliability of a questionnaire for assessing the implementation of problem-based learning (PBL). This questionnaire was developed to assess the quality of PBL implementation from the perspective of medical school graduates. Methods: A confirmatory factor analysis was conducted to assess the validity of the questionnaire. The analysis was based on a survey of 225 graduates of a problem-based medical school in Indonesia. Results: The results showed that the confirmatory factor analysis model had a good fit to the data. Further, the values of the standardized loading estimates, the squared inter-construct correlations, the average variances extracted, and the composite reliabilities all provided evidence of construct validity. Conclusion: The PBL implementation questionnaire was found to be valid and reliable, making it suitable for evaluation purposes.

Psychometrics of the Gratitude Questionnaire-6 in African-Americans at Risk for Cardiovascular Disease

2020 ◽  
Vol 42 (12) ◽  
pp. 1148-1154
Author(s):  
Lakeshia Cousin ◽  
Laura Redwine ◽  
Christina Bricker ◽  
Kevin Kip ◽  
Harleah Buck
Keyword(s):  
At Risk ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Well Being ◽  
Divergent Validity ◽  
Analysis Model ◽  
Factor Analysis Model ◽  
Confirmatory Factor

Psychometrics of the Gratitude Questionnaire-6, which measures dispositional gratitude, was originally estimated in healthy college students. The purpose of this study was to examine the scales’ factor structure, convergent/divergent validity, and reliability among 298 AA adults at risk for CVD in the community. Analyses were performed using bivariate correlations, exploratory factor analysis, and confirmatory factor analysis. The scale demonstrated acceptable estimates for internal consistency (Cronbach’s α = 0.729). Our exploratory factor analysis results yielded a one-factor structure consistent with the original instrument, and the confirmatory factor analysis model was a good fit. Convergent/divergent validity was supported by the association with positive affect (coefficient = 0.482, 95% CI = [0.379, 0.573], spiritual well-being (coefficient = 0.608, 95% CI = [0.519, 0.685], and depressive symptoms (coefficient = −0.378, 95% CI = [−0.475, −0.277]. Findings supported the scale’s reliability and convergent/divergent validity among AAs at risk for CVD.

scholarly journals Teknik Analisis Validitas Konstruk dan Reliabilitas instrument Test dan Non Test Dengan Software LISREL

2017 ◽  
Author(s):  
Akbar Iskandar
Keyword(s):  
Factor Analysis ◽  
Data Analysis ◽  
Quantitative Analysis ◽  
Confirmatory Factor Analysis ◽  
Instrument Development ◽  
Grain Quality ◽  
Validity And Reliability ◽  
Analysis Technique ◽  
Confirmatory Factor

Abstrak Tujuan dari tulisan ini adalah untuk menganalisis tingkat kualitas butir instrument tes dan non tes berdasarkan tingkat validitas konstruk dan reliabilitas. Jenis penelitian ini masuk dalam kategori pengembangan instrument yang biasa disebut dengan R & D. Penelitian ini merupakan bentuk simulasi terhadap instrument yang telah dikembangkan sebelumnya yaitu tahun 2016 dan 2017 yang berjalan selama 4 bulan. Teknik analisis data yang digunakan adalah teknik analisis kuantitatif dimana yang dimaksud adalah Confirmatory Faktor Analisys (CFA) dengan bantuan software LISREL. Hasil analisis dalam simulasi ini ditemukan bahwa butir instrument yang dikembangkan memenuhi criteria valid secara konstruk dan reliabel baik untuk instrument tes maupun non tes.Kata kunci: lisrel, amos, SEM, instrument, tes, non tes, pengukuran, penilaian, evaluasi, spssAbstractThe purpose of this paper is to analyze the level of grain quality of test and non test instruments based on the level of construct validity and reliability. This type of research belongs to the category of instrument development commonly referred to as R & D. This research is a form of simulation of the instrument that has been developed previously ie 2016 and 2017 which runs for 4 months. Data analysis technique used is quantitative analysis technique which is Confirmatory Factor Analysis (CFA) with the help of LISREL software. The results of the analysis in this simulation found that the developed instrument items meet the criteria valid construct and reliability for instrument test and non test instruments.Keywords: lisrel, amos, SEM, instrument, test, non test, measurement, assessment, evaluation, spss

Corporate Marketing Strategy Model (Case Study in Indonesian Insurance Company)

2015 ◽  
Vol 21 (4) ◽  
pp. 913-917
Author(s):  
Cecep Hidayat ◽  
Iskandar Putong ◽  
Idi Setyo Utomo
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Marketing Strategy ◽  
Stock Exchange ◽  
Insurance Company ◽  
Analysis Model ◽  
Model Case ◽  
Factor Analysis Model ◽  
Corporate Marketing ◽  
Confirmatory Factor

This study aims to develop a model of corporate marketing strategy using six indicators of Arthur D Little which uses the company’ financial statements in the insurance field listed in Indonesian Stock Exchange. The number of samples used is equal to the number of population, such as nine companies that are still active in doing trading and reporting the financial statement periodically and published at stock exchange website. By using the interpretation, there are six indicators found as the Corporate Marketing Strategy. The result is standardized using the Zcore methods which are tested by Confirmatory Factor Analysis model. The given result is modeled by using Principal Component Analysis-Exploratory Factor Analysis, and retested by using the Confirmatory Factor Analysis. Therefore, given the result that it is initially come up as a Corporate Marketing Strategy that consists of six indicators variable with two variables factors, such as Effectiveness Strategy (product, management and system, technology, and operation strategy) and Efficiency Strategy factors (market and retrenchment strategy).

scholarly journals Development of Indicators on Automotive Technology Skills of Vocational Diploma Students: A Confirmatory Factor Analysis Model

2018 ◽  
Vol 9 (5) ◽  
pp. 203-210
Author(s):  
Wuttichai Morjai ◽  
Phadungchai Pupat ◽  
Paitoon Pimdee
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Rating Scale ◽  
Educational Institutions ◽  
Technology Skills ◽  
Analysis Model ◽  
Factor Analysis Model ◽  
Significance Level ◽  
Automotive Technology ◽  
Confirmatory Factor

Abstract The present research was aimed to develop indicators on automotive technology skills and compare automotive technology skills of vocational diploma students among type of educational institutions. A stratified random sampling method was used to select a sample of 400 from the population of 1,337 second year vocational diploma students in Auto Mechanic Department under the Office of Vocational Education Commission in Samutprakan, Nonthaburi, Phathumthani, Saraburi, and Ayutthaya. The research instrument was a 5 rating scale questionnaire with a reliability of 0.956. The data analysis were first order a confirmatory factor analysis, mean, standard deviation, and one-way ANOVA. The findings were as followed. (1) The indicators on automotive technology skills of vocational diploma students comprised 20 indicators, is valid and fit to empirical data i.e. Chi-square = 98.314, df = 81, p = 0.093, GFI = 0.987, AGFI = 0.965, and RMSEA = 0.017. (2) The automotive technology skills of vocational diploma students among type of educational institutions were not different at a significance level of .05.

Exploratory and confirmatory factor analysis in clinical and health psychology

2015 ◽  
Author(s):  
Mark Shevlin
Keyword(s):  
Health Psychology ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Clinical Psychologists ◽  
Analysis Model ◽  
Factor Analysis Model ◽  
Factors Analysis ◽  
Confirmatory Factor ◽  
Confirmatory Factors

This chapter focuses on exploratory and confirmatory factors analysis (CFA) in clinical and health psychology. It discusses the factor analysis model, how health and clinical psychologists use factor analysis, exploratory factor analysis (EFA), and CFA.

scholarly journals Application of Confirmatory Factor Analysis for Correlate of Students Attitude, Self-Belief, Students Engagement in Mathematics Lessons and Mathematics Achievement

2018 ◽  
Vol 7 (2.29) ◽  
pp. 535 ◽  
Author(s):  
Desi Rahmatina
Keyword(s):  
Factor Analysis ◽  
Mathematics Achievement ◽  
Confirmatory Factor Analysis ◽  
Latent Variables ◽  
Negative Relationship ◽  
Mathematics Lesson ◽  
Analysis Model ◽  
Factor Analysis Model ◽  
Data Set ◽  
Confirmatory Factor

The study aimed to propose the Confirmatory Factor Analysis via four latent variables : 1) Students Attitude toward mathematics, 2) Self-belief in mathematics, 3) Students engagement in mathematics lessons and 4) Mathematics Achievement  and 19 observed variables and then we conduct to the correlations between latent variables and observed variables. The subjects were 5795 eight grades students from the result of the Trends in International Mathematics and Science Study (TIMSS) 2011 assessment conducted in Indonesia. Data Analysis were undertaken using the Lisrel software to examine the effect of students attitude toward mathematics, students self belief and students engagement in mathematics lesson for mathematics achievement. The proposed Confirmatory Factor Analysis model of the latent variables and observed variables fit well with the empirical data set (RMSEA = 0,071). The results of multivariate analyses has shown a strong negative relationship between student attitude toward mathematics, self-belief in mathematics and their mathematics achievement (t value = -6.32 and t = -6.10, respectively) and a strong positive relationship between students engagement in mathematics lesson with mathematics achievement (t value = 8,28).   

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