Agricultural supports and farmers’ satisfaction: A latent variable application in Turkey

Agricultural supports are given with different quantities and purposes around the world, such as exemption from tax, granting subsidies or agricultural insurances, among others. These supports have a great impact but its benefits to farmers are not generally known. The influence of these supports on farmers is pointed out by evaluating the farmers’ satisfaction. In this sense, it was obtained a data from 426 producers in order to analyze the agricultural supports regarding farmer´s satisfaction. The first and second-order latent variables are analyzed by applying the Confirmatory Factor Analysis (CFA) to the survey data obtained for the evaluation of farmers’ satisfaction. The factor loadings and fit index were sufficient and the structure validity and reliability of the model were ensured. The most effective variables influencing the farmers’ satisfaction related to the agricultural supports are the supports maintaining the financial structure and livestock support. Results indicate that farmers need to be supported more in terms of input use and crop production.

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

Methodology ◽

10.1027/1614-2241/a000033 ◽

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.

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Medical Tourism Service Quality

New Business Opportunities in the Growing E-Tourism Industry - Advances in Hospitality, Tourism, and the Services Industry ◽

10.4018/978-1-4666-8577-2.ch009 ◽

2015 ◽

pp. 149-180

Author(s):

Bikash Ranjan Debata ◽

S. S. Mahapatra ◽

Bhaswati Patnaik

Keyword(s):

Factor Analysis ◽

Service Quality ◽

Medical Tourism ◽

Validity And Reliability ◽

Tourism Sector ◽

Confirmatory Factor ◽

The World ◽

Information And Communication ◽

National Boundaries ◽

Tourism Service

Medical tourism, a growing phenomenon in the world today, possesses a worthwhile potential for the economic development of any country. Globalization, development of information and communication technology (ICT) and adherence to the international quality standards potentially result in a significant increase in the movement of patients and healthcare professionals across national boundaries. The demand for medical tourism in India is experiencing a tremendous growth. However, the Indian medical tourism sector faces various challenges. Since India attempts to position itself as one of the preferred global medical tourism hub, a thorough understanding of means to attract, satisfy and retain medical tourists is extremely important. Five hundred and thirty four (534) useful responses in two different phases is collected and tested to examine the validity and reliability of the scale to ensure a quantitative and statistically proven identification of the responses. The exploratory factor analysis (EFA) is used to identify the underlying dimensions of medical tourism service quality for medical tourism in India. Next, confirmatory factor analysis (CFA) was used to confirm the factor structure of the constructs and validate EFA results.

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HAKI MODUL PENGOLAHAN DATA DENGAN LISREL BETI NURBAITI

10.31227/osf.io/yzdw2 ◽

2019 ◽

Author(s):

beti nurbaiti

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Latent Variable ◽

Goodness Of Fit ◽

Confirmatory Factor ◽

Fit Index

Tutorial singkat yang menjelaskan cara singkat dan praktif mempersiapkan kuesioner penelitian, mengimpor data dan mengolah dengan Lisrel, mulai dari uji validitas, reliabilitas, Confirmatory Factor Analysis hingga uji model struktural penelitian. Selain modul ini, dapat dipelajari melalui Channel Youtube untuk Tutorial Lisrel 1 hingga 7 dengan link sebagai berikut : a) Tutorial -1 Lisrel, Persiapan Kuesioner Untuk Diolah Dengan Lisrel, hingga Uji Statistik Deskriptif; Link Youtube :https://www.youtube.com/watch?v=QmdDMepmLCwb) Tutorial Lisrel -1 lanjutan, Import Data Hingga Uji Statistik Deskriptif (Output Lisrel); Link Youtube : https://www.youtube.com/watch?v=QmdDMepmLCwc) Tutorial -2 Lisrel , Convert Output Lisrel dalam MS Word; Link Youtube : https://www.youtube.com/watch?v=myWFkuWauH4d) Tutorial -3, Uji Model Pengukuran dan Kecocokan Model (Goodness Of Fit Index); Link Youtube : https://www.youtube.com/watch?v=aMEFdifPod4e) Tutorial -4, Uji Model Pengukuran dengan Kecocokan Model Perfect Fit; Link Youtube : https://www.youtube.com/watch?v=Sj2VR2VWVOAf) Tutorial -5, Penyederhanaan Model Penelitian (Latent Variable Score/LVS) Dengan Lisrel; Link Youtube : https://www.youtube.com/watch?v=41IlJsr-ESkg) Tutorial- 6 Lisrel, Uji Validitas dan Reliabilitas Dengan Lisrel; Link Youtube : https://www.youtube.com/watch?v=Ma1IlMWwZawh) Tutorial -7, Uji Confirmatory Factor Analysis (CFA) dan Uji Model Struktural Dengan Lisrel; Link Youtube : https://www.youtube.com/watch?v=CyQOfCooUwQ

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Medical Tourism Service Quality

Web-Based Services ◽

10.4018/978-1-4666-9466-8.ch063 ◽

2016 ◽

pp. 1433-1464

Author(s):

Bikash Ranjan Debata ◽

S. S. Mahapatra ◽

Bhaswati Patnaik

Keyword(s):

Factor Analysis ◽

Service Quality ◽

Medical Tourism ◽

Validity And Reliability ◽

Tourism Sector ◽

Confirmatory Factor ◽

The World ◽

Information And Communication ◽

National Boundaries ◽

Tourism Service

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Spanish Adaptation and Validation of the Posttraumatic Growth Inventory–Short Form

Violence and Victims ◽

10.1891/0886-6708.vv-d-13-00165 ◽

2015 ◽

Vol 30 (5) ◽

pp. 756-769 ◽

Cited By ~ 7

Author(s):

Manuel Cárdenas Castro ◽

Jaime Barrientos Delgado ◽

Emilio Ricci Alvarado ◽

Darío Páez Rovira

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Posttraumatic Growth ◽

Meaning In Life ◽

Short Form ◽

Validity And Reliability ◽

Confirmatory Factor ◽

Posttraumatic Growth Inventory ◽

Fit Indexes ◽

Fit Index

The purpose of this article is to adapt and validate the short form of the Posttraumatic Growth Inventory (PTGI-SF) in Spanish. The scale consists of 10 items distributed in 5 posttraumatic growth dimensions measured in the original instrument. The psychometric properties and dimensionality of the scale are examined in a sample of college students (N = 681). Results lend support to the validity and reliability (α = .83) of the PTGI-SF. The dimensions of PTGI-SF show correlations ranging between .29 and .52. In addition, the inventory correlates significantly with deliberate rumination (r = .39) and the search for meaning in life (r = .32). The factor loadings of the items in the confirmatory factor analysis varied between .52 and .87, showing good fit indexes (comparative fit index = .97, Tucker-Lewis index = .93, relative fit index = .90, incremental fit index = .97, normed fit index = .96, and root mean square error of approximation = .05). Multigroup confirmatory factor analysis supported invariance of the PTGI-SF across the 2 groups. Finally, significantly higher PTGI-SF scores were observed in subjects who were actively looking for meaning in life, or had found it after a seeking process, than in subjects who had not looked for meaning in life or had given up because they had not been successful.

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Modul Pengolahan Data Dengan Lisrel

10.31227/osf.io/e6cmz ◽

2019 ◽

Author(s):

beti nurbaiti

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Latent Variable ◽

Goodness Of Fit ◽

Confirmatory Factor ◽

Fit Index

Persiapan Kuesioner Untuk Diolah Dengan Lisrel,Import Data hingga Uji Statistik Deskriptif (Output Lisrel), Uji Model Pengukuran dan Kecocokan Model (Goodness Of Fit Index),Uji Validitas dan Reliabilitas Dengan Lisrel, Penyederhanaan Model Penelitian (Latent Variable ScoRe/LVS) dengan Lisrel, Uji Confirmatory Factor Analysis (CFA), Uji Model Struktural Dengan Lisrel (Uji Hipotesa Penelitian),

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The confirmatory factor analysis of teacher’s research motivation scale

Contemporary Educational Researches Journal ◽

10.18844/cerj.v8i3.651 ◽

2018 ◽

Vol 8 (3) ◽

pp. 101-106

Author(s):

Ujsara Prasertsin

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Intrinsic Motivation ◽

Latent Variables ◽

Latent Variable ◽

Extrinsic Motivation ◽

Class Action ◽

P Value ◽

Confirmatory Factor ◽

Motivation Scale

The purpose of the research is to develop the measurement of motivation scale of in class action research conducted by school teachers. The sampling is 403 teachers, subordinated to Office of The Basic Education Commission. Data collection was conducted through questionnaires of 20 questions. The questions were designed into 5 levels following to the motivation scale in research measurement of Deemer, Mahoney, & Ball (2010). This 20 questions questionnaire is consisting of 3 latent variables that are 9 questions of intrinsic motivation, 6 questions of failure avoidance and 5 questions extrinsic motivation. The purpose of confirmatory factor analysis (CFA) is to test the construct validity of research latent variables that found the harmony correlation of empirical data contained in this research model, the value of Chi-Square ( )=89.224 at the degree of freedom=71, P value=0.071, GFI=0.978, AGFI=0.936, RMSEA=0.062, RMR=0.018, Model AIC=367.224, Saturated AIC=420.000, Model CAIC= 1062.076, Saturated CAIC = 1469.777. The weight factors of latent variable are 0.692, -0.066 and 0.894 retrospectively. The value of reliability according to cronbach’s alpha coefficient of correlation is 0.479, 0.004 and 0.800 retrospectively. Moreover correlation matrix of 20 observed variables shows the correlation among latent variables of intrinsic motivation and extrinsic motivation with the significant level of statistic correlation at 0.05, the correlation value ranged between 0.196-0.604 and 0.196-0.696 retrospectively. The highest value of correlation scored 0.696 is founded in observed variables of intrinsic motivation latent variable. Keywords: Confirmatory, factor analysis, teacher, research motivation

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Examining and Adapting the Psychometric Properties of the Maslach Burnout Inventory-Health Services Survey (MBI-HSS) among Healthcare Professionals

Applied Sciences ◽

10.3390/app10051890 ◽

2020 ◽

Vol 10 (5) ◽

pp. 1890

Author(s):

Abbas Al Mutair ◽

Alya Al Mutairi ◽

Hiba Chagla ◽

Khalid Alawam ◽

Khulud Alsalman ◽

...

Keyword(s):

Factor Analysis ◽

Goodness Of Fit ◽

Healthcare Professionals ◽

Healthcare Providers ◽

Maslach Burnout Inventory ◽

Gulf Cooperation Council ◽

Validity And Reliability ◽

Chi Square ◽

Confirmatory Factor ◽

Fit Index

Burnout is known to negatively impact healthcare providers both physically and mentally and is assessed using the Maslach Burnout Inventory-Human Services Survey (MBI-HSS). Many versions of this tool have been developed for different parts of the world, but there is currently no valid version specifically designed for use in the Gulf Cooperation Council Region. This study aims to use data collected across six different regions in the Gulf Cooperation Council Region to assess the validity and reliability of the MBI-HSS model and develop a version of the MBI-HSS best suited for evaluating burnout levels among the healthcare providers in this region. The MBI-HSS questionnaire adapted by Maslach was distributed to 888 healthcare providers aged 32 years ± 7 years, 231 (26.1%) of whom were males and 651 (73.9%) of whom were females, between 2017 and 2018. The data collected were randomly divided into two subsamples, resulting in a sample with the data of 300 healthcare professionals for exploratory factor analysis (EFA) and 588 healthcare professionals for confirmatory factor analysis (CFA). The CFA of the original version of the MBI-HSS yielded a chi-square value of 1897 (p < 0.001), indicating the need for revision. EFA was then used to construct a new model of the MBI-HSS, and a CFA was performed on the second subsample to evaluate the model fit to the data. The EFA produced a 3-factor version that accounted for 56.3% of the total variance, with item 11 of the MBI moved to the Emotional Exhaustion (EE) subscale and item 16 loaded onto Depersonalisation (DP) instead of EE. Additionally, items 18 and 20 were omitted. The reconstructed version had a Root Mean Square Error of Approximation (RMSEA) value of 0.065 (<0.08), a goodness of fit index (GFI) value of 0.915 (>0.90) and an adjusted goodness of fit index (AGFI) value of 0.893 (>0.8). These results when compared to the CFA of the original model, which produced a GFI value of 0.79, an AGFI value of 0.74 and an RMSEA value of 0.09 (>0.08), indicate that this new version has a more satisfactory fit to the data and should be used when assessing burnout in the Gulf Cooperation Council Region.

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Development and Validation of a Survey to Assess Patient-Perceived Medication Knowledge and Confidence in Medication Use

Journal of Nursing Measurement ◽

10.1891/1061-3749.22.1.120 ◽

2014 ◽

Vol 22 (1) ◽

pp. 120-134 ◽

Cited By ~ 7

Author(s):

Arinze Nkemdirim Okere ◽

Colleen M. Renier ◽

Jacqueline Morse

Keyword(s):

Factor Analysis ◽

Root Mean Square ◽

Goodness Of Fit ◽

Survey Methods ◽

Primary Objective ◽

Mean Square ◽

Validity And Reliability ◽

Medication Knowledge ◽

Confirmatory Factor ◽

Fit Index

Background and Purpose: The primary objective of this study is to establish the validity and reliability of a perceived medication knowledge and confidence survey instrument (Okere–Renier Survey). Methods: Two-stage psychometric analyses were conducted to assess reliability (Cronbach’s α >.70) of the associated knowledge scale. To evaluate the construct validity, exploratory and confirmatory factor analyses were performed. Results: Exploratory factor analysis (EFA) revealed three subscale measures and confirmatory factor analysis (CFA) indicated an acceptable fit to the data (goodness-of-fit index [GFI = 0.962], adjusted goodness-of-fit index [AGFI = 0.919], root mean square residual [RMR = 0.065], root mean square error of approximation [RMSEA] = 0.073). A high internal consistency with Cronbach’s α of .833 and .744 were observed in study Stages 1 and 2, respectively. Conclusions: The Okere–Renier Survey is a reliable instrument for predicting patient-perceived level of medication knowledge and confidence.

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BSSI-3 Spoken language, reading–writing forms: Validity and reliability study

Global Journal of Foreign Language Teaching ◽

10.18844/gjflt.v10i3.5074 ◽

2020 ◽

Vol 10 (3) ◽

pp. 198-207

Author(s):

Fatma Ülkü Yıldız ◽

Aysel Çağdaş ◽

Gökhan Kayılı

Keyword(s):

Factor Analysis ◽

Assessment Tool ◽

Simple Random Sampling ◽

Spoken Language ◽

Validity And Reliability ◽

Turkish Children ◽

Reliability Characteristics ◽

Reliable Assessment ◽

Confirmatory Factor ◽

Fit Index

This study was conducted to determine whether the ‘Spoken Language’ and ‘Reading–Writing’ forms of the Basic School Skills Inventory-3 Edition had validity and reliability characteristics acceptable for Turkish children aged 48–72 months old. The sample of the study included 244 children selected through the simple random sampling method. Exploratory factor analysis (principal components analysis) was conducted to determine the construct validity of the tests. The fit index was tested with maximum likelihood confirmatory factor analysis. Reliability of the test was ensured using internal consistency coefficient and split-half test. Cronbach’s alpha reliability coefficients of the forms were calculated to be 0.95 and 0.97. Analysed for its adaptation into Turkish, the BSSI-3 Spoken Language and Reading–Writing forms were a valid and reliable assessment tool for Turkish children aged 48–72 months old. Keywords: Spoken language, reading–writing, validity and reliability.

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