scholarly journals HAKI MODUL PENGOLAHAN DATA DENGAN LISREL BETI NURBAITI

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

scholarly journals Modul Pengolahan Data Dengan Lisrel

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),

scholarly journals Modul Pengolahan Data Dengan Lisrel

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)

scholarly journals HAKI MODUL PENGOLAHAN DATA DENGAN LISREL BETI NURBAITI

2019 ◽  
Author(s):  
beti nurbaiti
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Latent Variable ◽  
Goodness Of Fit ◽  
Confirmatory Factor ◽  
Fit Index

Merupakan tutorial praktis lengkap dengan modul latihan dan juga ditunjang tutorial dalam bentuk yputube channel :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

scholarly journals Modul Pengolahan Data Dengan Lisrel

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),

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.

The Japanese Version of the Coping Orientation to Problems Expereinced: A Study of Japanese Schoolteachers

2008 ◽  
Vol 103 (2) ◽  
pp. 395-405 ◽  
Author(s):  
Yasumasa Otsuka ◽  
Misato Takada ◽  
Ayako Suzuki ◽  
Sawako Tomotake ◽  
Akinori Nakata
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Goodness Of Fit ◽  
Japanese Version ◽  
Internal Consistency Reliability ◽  
Translation Process ◽  
Confirmatory Factor ◽  
Back Translation ◽  
Fit Indexes ◽  
Fit Index

To investigate the internal consistency reliability and three types of validity of the Coping Orientation to Problems Experienced (COPE), a survey was conducted among 209 English schoolteachers in Japan. The Japanese version of the COPE Inventory was developed through a back-translation process. Cronbach coefficients alpha for the Japanese version were above .70 for all subscalcs except five, including Acceptance and Restraint, so internal consistencies for these five were insufficient. Goodness of fit indexes for a confirmatory factor analysis were acceptable except for the Comparative Fit Index. Scores on COPE subscales were significantly correlated with scores on other tests (29 of 75 correlations were in the expected directions). Further exploration is required for several subscales and for generalization to Japanese-speaking populations in careers other than teaching to ensure the Japanese version of the COPE will be useful in assessing coping strategics. Given the limitations, present data for Japanese teachers are encouraging.

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

Confirmatory Factor Analysis and Reliability of the Burn Specific Health Scale–Revised in Brazilian Burned Patients

2018 ◽  
Vol 26 (3) ◽  
pp. 425-434
Author(s):  
Noélle de Oliveira Freitas ◽  
Marina Paes Caltran ◽  
Suleimy C. Mazin ◽  
Rosana Aparecida Spadoti Dantas ◽  
Lidia Aparecida Rossi
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Goodness Of Fit ◽  
Brazilian Portuguese ◽  
Cross Sectional ◽  
Portuguese Version ◽  
Confirmatory Factor ◽  
Fit Index ◽  
Specific Health

Background and Purpose: The aim of the study was to analyze the factor structure and the reliability of the Brazilian-Portuguese version of the Burn Specific Health Scale—Revised (BSHS-R) in a sample of Brazilian burned adults. Methods: This study was a cross-sectional study. The internal consistency was analyzed using Cronbach’s α, considering coefficients ≥.70 as appropriate. We conducted confirmatory factor analysis (CFA) to test the hypothesis that the BSHS-R Brazilian-Portuguese version has a factor structure similar to the original. We assessed the factor structure of the BSHS-R Brazilian-Portuguese version by CFA, examining three models: three-factor, six-factor, and seven-factor structure. Results: The participants were 299 burned adults. The CFA indicated good model fit indices for the seven-factor model (root mean square error of approximation = .062; goodness-of-fit index = .844; adjusted goodness-of-fit index = .809; Akaike information criterion = 1,054.06). The seven-factor BSHS-R Brazilian-Portuguese version showed Cronbach’s α of .93. Conclusions: The BSHS-R Brazilian-Portuguese version with seven factors is reliable and valid and measures the perceived health status construct.

Confirmatory Factor Analysis of Implicit Beliefs Measure and the Role of Demographics among Pakistani Sample

2020 ◽  
Vol 23 ◽  
Author(s):  
Maryam Khan ◽  
Anila Kamal
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Cognitive Processing ◽  
Goodness Of Fit ◽  
Implicit Theories ◽  
Fit Indices ◽  
Adequate Model ◽  
Confirmatory Factor ◽  
Model Fit Indices ◽  
Fit Index

Abstract Implicit theories (also referred to self-theories) represent a cognitive conceptualization about a matter, generally raised as a belief. It is marked as the primary aspect of cognitive processing among living beings affecting their overall behavior towards others’. In the present study, it is attempted to consider a Pakistani perspective on this phenomenon of self-theories and also to validate the implicit theories Scale. It is a measure of people’s beliefs about things to be fixed or changeable. A quantitative approach of correlational methodology was employed. Participants of the study were 355 Pakistani young adults with an age range of 20–30 years (M = 23.08, SD = 1.99). There were 175 males and 180 females (as they reported their gender) from Islamabad. Confirmatory factor analysis was computed to assess the dimensionality of the scale. An adequate model fit indices were found as Root Mean Square Error of Approximation = .04, Comparative Fit Index = .99, Tucker-Lewis Index = .98, Goodness of Fit Index = .97, and Incremental Fit Index = .99, confirming a bidimensional implicit theories measure. The reliability coefficients of Entity Theory and Incremental Theory subscales were assessed through internal consistency and test-retest methods which are found to be in an acceptable range. Demographic specifications are also addressed to reflect upon the indigenous importance of this concept. This will be an additive feature in the literature to consider the cultural specification enabling individuals to align their mindsets in the desired direction of growth and achievement.

scholarly journals Çiftçilerin Bürokratik Bilgi ve Becerilerine Etki Eden Faktörler; Tokat İli Örneği

2017 ◽  
Vol 5 (3) ◽  
pp. 231
Author(s):  
Gungor Karakas ◽  
Esen Oruç ◽  
Esra Duran
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Rural Areas ◽  
Goodness Of Fit ◽  
Government Support ◽  
Knowledge And Skills ◽  
Face To Face ◽  
Confirmatory Factor ◽  
Fit Index

The aim of this study is to determine the factors that affect the development of bureaucratic knowledge and skills of farmers in rural areas. To achieve this aim, a questionnaire was administered face-to-face to 110 farmers. The survey was conducted in the central villages of Tokat Province in 2013. Exploratory factor analysis and confirmatory factor analysis were used to determine the factors that affect the development of farmers’ knowledge and skills regarding bureaucratic procedures. The exploratory factor analysis generated a structure with 4 factors and 10 variables. These factors which explained 76.063% of the total variance, and their reliability coefficients were determined as cooperation tendency (0.803), bureaucratic procedure experience (0.701), level of benefit from government support (0.900) and immediate environment communication (0.601). According to the results of the confirmatory factor analysis, the fit index values were 0.938 for GFI; 0.934 for CFI and 0.913 for NFI. The fact that the RMSEA and CMIN/DF coefficients were also consistent and significant indicates that the results fit the theory. The fact that the intended goodness-of-fit index values of these coefficients were significant also indicates that the results fit the theory. Thus, the factors that affect the bureaucratic knowledge and skills of farmers in the rural areas of Tokat Province were found to be: getting involved in agricultural organizations, the experience of performing formal procedures in public offices, attempts to benefit from agricultural support and immediate environment communication.

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