scholarly journals PENGARUH DUKUNGAN SOSIAL SEBAGAI MODERATOR KETIDAKSEIMBANGAN KEHIDUPAN-KERJA DAN KETERIKATAN KERJA PERAWAT

2020 ◽  
Vol 4 (2) ◽  
pp. 339
Author(s):  
Rosyeni Chan ◽  
Zamralita Zamralita ◽  
Rita Markus
Keyword(s):  
Social Support ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Work Engagement ◽  
Structural Model ◽  
Work Life ◽  
Moderating Effect ◽  
Equation Modeling ◽  
Confirmatory Factor ◽  
The Impact

This study discussed about work engagement of nurses who experienced work-life imbalance and how the support from supervisor, coworker, organization, and family impacting it. This study aims to examined the moderating effect of social support in relation of work-life imbalance and nurses’ engagement and also evaluate the role of social support’s dimensions. A total of 120 nurses with a diploma in nursing participated in this study. They were working in nursing activities and lived with family as daily basis. The study was using adapted form of UWES-9, Industrial Society’s Work-Life, and CESS questionnaires. Measurement being done with Structural Equation Modeling (SEM) method and measurement model using Confirmatory Factor Analysis (CFA) with Lisrel 10.0. Structural model testing showed that work-life imbalance significantly correlated with work engagement (r=-0.24, normed c2<2.00, RMSEA<0.05), and no significant moderating effect of social support was found. Only support from coworker moderated the work-life imbalance and work engagement of nurses (r=0.20, normedc2<2.00, RMSEA<0.05), and neither support from supervisor, organization, and family show any significant correlations as moderating variables. As conclusion, hypotheses was tested and confirmed. The findings showed work-life imbalance negatively correlated with work engagement, and support from coworker can help buffer the impact of imbalanced work-life condition on nurses’ engagement. The other dimensions of social support show no significant correlations. Perawat dalam melaksanakan tugasnya rentan menghadapi kondisi ketidakseimbangan kerja yang dapat mempengaruhi keterikatan kerja mereka. Untuk mengatasi pengaruh tersebut diperlukan sumber daya seperti dukungan sosial dari atasan, rekan kerja, organisasi, dan keluarga perawat yang dapat memberi dukungan pekerjaan bagi perawat. Tujuan dari penelitian adalah untuk melihat peranan dukungan sosial dan masing-masing dimensinya sebagai moderator pada pengaruh ketidakseimbangan kehidupan kerja terhadap keterikatan kerja perawat. Partisipan penelitian adalah perawat (N=120) yang sedang aktif bekerja di bidang keperawatan dan berstatus tinggal dengan keluarga. Data diperoleh dengan kuesioner UWES-9, Industrial Society’s Work-Life, dan CESS yang telah diadaptasi. Pengolahan data menggunakan metode SEM dan pengujian model pengukuran menggunakan Confirmatory Factor Analysis (CFA) dengan bantuan program Lisrel versi 10.0. Hasil pengujian structural model menunjukkan bahwa ketidakseimbangan kehidupan kerja berkorelasi signifikan terhadap keterikatan kerja (r=-0.24, normedc2<2.00, RMSEA<0.05), sementara peran dukungan sosial sebagai variabel moderator tidak signifikan berkorelasi. Hanya satu dimensi dukungan sosial, yaitu dimensi coworker, secara signifikan berperan sebagai moderator (r=0.20, normedc2<2.00, RMSEA<0.05), sementara dimensi supervisor, organization, dan family tidak menunjukkan korelasi yang signifikan sebagai moderator. Kesimpulan dari penelitian ini adalah ketidakseimbangan kehidupan-kerja berpengaruh negatif terhadap keterikatan kerja perawat, dan hanya dukungan sosial dari rekan kerja yang dapat berperan sebagai moderator dalam hubungan tersebut. Sementara dukungan sosial dari atasan, organisasi, dan keluarga tidak berperan sebagai moderator antara ketidakseimbangan kehidupan-kerja dan keterikatan kerja pada perawat.

scholarly journals Prediksi Minat Perilaku Menggunakan Jasa Pajak Elektronik: Analisis Faktor Konfirmatori

InFestasi ◽  
2018 ◽  
Vol 13 (2) ◽  
pp. 321
Author(s):  
Jullie J. Sondakh
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Confirmatory Factor Analysis ◽  
Behavioral Intention ◽  
Latent Variable ◽  
Structural Equation ◽  
Structural Model ◽  
Measurement Model ◽  
Equation Modeling ◽  
Confirmatory Factor

<p class="Ventura-Abstract">The purpose of this research is to predict the tax payer behavioral intention of using the e-SPT through the application of Technology Acceptance Model (TAM).</p><p class="Ventura-Abstract">This research used survey method to collect primary data from the population of tax payer in the city of Manado and Bitung with 156 respondents while using judgement sampling method.The data analysis is using Structural Equation Modeling (SEM) that consists of two steps; the measurement model and structural model. The focus of this research is on the first step of SEM modeling, which is the measurement model by using the Confirmatory Factor Analysis (CFA). The purpose of this analysis is to test the validity and reliability from the indicator of the construct or latent variable researched, thus, we will obtain the fit construct or latent variable before proceeding to the next step of SEM which is the structural model.Based on the confirmatory factor analysis (CFA), we obtained the validity test result, convergent validity, and reliability test result, construct reliability and variance extracted, from the indicator of construct or latent variable which are perceived usefulness, perceived ease of use, attitude towards e-SPT, and behavioral intention to use e-SPT. The reliabilty and validity test result showed that there is no indicator from all the tested latent variable to be excluded for the next step of Structural Equation Modeling (SEM)  which is the structural model.</p><p class="Ventura-Abstract"> </p><p class="Ventura-Abstract">Tujuan penelitian ini adalah melakukan prediksi minat perilaku wajib pajak menggunakan  e-SPT melalui penerapanTechnology Acceptance Model (TAM). Penelitian ini menggunakan metode survei untuk mengumpulkan data primer dari populasi yaitu wajib pajak di Kota Manado dan Bitung dengan jumlah sampel sebanyak 156 responden serta penentuan sampel berdasarkan metode  judgment sampling. Teknik analisis data menggunakan pemodelan Structural Equation Modeling (SEM) yang terdiri  dari dua tahapan yaitu model pengukuran (measurement model) dan model struktural (structural model). Fokus penelitian ini adalah pada pemodelan SEM tahap pertama yaitu model pengukuran (measurement model)  melalui  analisis faktor konfirmatori (Confirmatory Factor Analysis - CFA). Analisis ini  bertujuan  untuk menguji validitas dan reliabilitas dari indikator-indikator pembentuk konstruk atau variabel laten yang diteliti sehingga diperoleh  konstruk atau variabel laten yang fit  sebelum lanjut ke tahap pemodelan SEM berikutnya  yaitu model struktural. Berdasarkan analisis faktor konfirmatori (Confirmatory Factor Analysis - CFA) diperoleh hasil uji validitas yaitu signifikansi  factor loading (convergent validity) dan reliabilitas (construct reliability dan variance extracted) dari indikator pembentuk konstruk atau variabel laten kegunaan persepsian (Perceived Usefulness), kemudahan penggunaan persepsian (Perceived ease of use), sikap terhadap penggunaan  e-SPT (Attitude towards e-SPT) dan  minat perilaku  menggunakan e-SPT (Behavioral intention to use e-SPT). Hasil uji validitas dan reliabilitas ini menunjukan bahwa tidak ada indikator dari variabel kegunaan persepsian (Perceived Usefulness), kemudahan penggunaan persepsian (Perceived ease of use), sikap terhadap penggunaan  e-SPT (Attitude towards e-SPT) dan  minat perilaku  menggunakan e-SPT (Behavioral intention to use e-SPT) yang di hilangkan pada analisis selanjutnya yaitu pemodelan Structural Equation Modeling (SEM) tahap kedua  sehingga  dapat dilakukan estimasi model persamaan struktural (structural model).</p>

scholarly journals Psychological Capital dan Job Resources Sebagai Prediktor Terhadap Work Engagement

2019 ◽  
Vol 6 (2) ◽  
Author(s):  
Rifanji Reza Anatama
Keyword(s):  
Social Support ◽  
Factor Analysis ◽  
Regression Analysis ◽  
Confirmatory Factor Analysis ◽  
Multiple Regression Analysis ◽  
Work Engagement ◽  
Performance Feedback ◽  
Self Efficacy ◽  
Job Resources ◽  
Confirmatory Factor

Penelitian ini dilakukan untuk mengetahui pengaruh self-efficacy, hope, optimism, resiliency, social support, relationship with supervisor, autonomy dan performance feedback terhadap work engagement. Sampel dalam penelitian ini sebanyak 202 Guru. Teknik sampling yang digunakan dalam penelitian ini adalah non-probability sampling. Uji alat ukur menggunakan Confirmatory Factor Analysis (CFA). Analisis data yang digunakan dalam penelitian ini adalah Multiple Regression Analysis pada taraf signifikansi 0,05. Hasil penelitian menunjukkan bahwa ada pengaruh yang signifikan self-efficacy, hope, optimism, resiliency, social support, relationship with supervisor, autonomy dan performance feedback terhadap work engagement. Hasil uji hipotesis minor menunjukkan bahwa self-efficacy dan optimsm memiliki pengaruh yang signifikan terhadap work engagement. Sementara itu, hope, resiliency, social support, relationship with supervisor, autonomy dan performance feedback tidak memiliki pengaruh signifikan terhadap work engagement. Hasil penelitian juga menunjukkan proporsi varians dari work engagement yang dijelaskan oleh seluruh variabel independen adalah 65,2%, sedangkan 34,8% sisanya dipengaruhi oleh variabel lain di luar penelitian ini.

Confirmatory Factor Analysis of the Impact of Event Scale - Revised

2007 ◽  
Author(s):  
Robert Orazem ◽  
Claire Hebenstreit ◽  
Daniel King ◽  
Lynda King ◽  
Arieh Shalev ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Impact Of Event Scale ◽  
Event Scale ◽  
Confirmatory Factor ◽  
The Impact

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.

Reasons for attending support groups and organizational preferences: A replication study using the North American Scleroderma Support Group Survey

2019 ◽  
Vol 4 (3) ◽  
pp. 173-186 ◽  
Author(s):  
Mia Pépin ◽  
Linda Kwakkenbos ◽  
Marie-Eve Carrier ◽  
Sandra Peláez ◽  
Ghassan El-Baalbaki ◽  
...  
Keyword(s):  
Social Support ◽  
Factor Analysis ◽  
Systemic Sclerosis ◽  
North America ◽  
Confirmatory Factor Analysis ◽  
Support Groups ◽  
Support Group ◽  
Factor Model ◽  
The United States ◽  
Confirmatory Factor

Peer-facilitated support groups are an important source for receiving disease-related information and support for people with systemic sclerosis (or scleroderma). A recent survey explored reasons for attending systemic sclerosis support groups in Europe and Australia and used exploratory factor analysis to group reasons for attendance into three main themes: (1) interpersonal and social support, (2) disease treatment and symptom management strategies, and (3) other aspects of living with systemic sclerosis. The objective of the present study was to replicate this study in a sample of patients from North America using confirmatory factor analysis. A 30-item survey was used to assess reasons for attendance and organizational preferences among systemic sclerosis patients in Canada and the United States. In total, 171 members completed the survey. In the confirmatory factor analysis, the three-factor model showed good fit to the data (χ2(399) = 646.0, p < 0.001, Tucker–Lewis index = 0.97, comparative fit index = 0.97, root mean square error approximation = 0.06). On average, respondents rated 22 (73%) of 30 items as “important” or “very important” reasons for attending support groups. Among organizational preferences, respondents emphasized the importance of the ability to share feelings and concerns, as well as educational aspects. Findings of our study suggest that reasons for attending support groups are similar for patients from Europe, Australia, and North America and that support groups should facilitate social support as well as disease education. These results inform the development of training programs for current and future systemic sclerosis support group leaders across the globe.

Insulin initiative attitudes of type 2 diabetes individuals Turkish validity and reliability study

2021 ◽  
Vol 11 (1) ◽  
pp. 75-82
Author(s):  
İlayda Oylum Guleryuz ◽  
Figen Okçın
Keyword(s):  
Type 2 Diabetes ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Insulin Therapy ◽  
Equation Modeling ◽  
Validity And Reliability ◽  
Cronbach Alpha ◽  
Confirmatory Factor ◽  
Age Range

Purpose: A study was conducted to investigate the Turkish Validity and Reliability of the Insulin Initiation Attitudes Scale of individuals with Type 2 diabetes. Materials and methods: This methodologically planned study was conducted with 128 Type 2 diabetes mellitus patients who met the sampling criteria. Data collected using a personal information form to identify individuals diagnosed with diabetes and CH-ASIQ, which assessed their attitudes towards diabetes, and the form Insulin Therapy Attitude Scale parallel as a parallel form. For the statistical analysis of the data, Construct Validity, Exploratory Factor Analysis, and Kaiser-Meyer-Olkin test, Confirmatory Factor Analysis, Pearson, Gutmann, Split Half, Spearman, Cronbach Alpha coefficient methods were used. Results: It was statistically significant; it is seen that 14.1% of the participants were in the 41-50 age range, 37.5% were in the 51-60 age range, and 48.8% were 61 and over. According to Kaiser-Meyer-Olkin test, the result was found to be 0.626. According to the results of factor analysis, 4 factors have emerged which have Eigenvalues above 1 and explain 69.48% of the total variance. According to Confirmatory Factor Analysis, Structural Equation Modeling Results of the scale were found to be p=0.000. According to Cronbach Alpha result 0.756. Conclusion: There was a relationship between attitudes to having information about the treatment of diabetics and attitude, and there was the relationship between them. Effects of fear, pain on these findings were observed. The importance of education for a positive attitude was determined. The importance of patients' attitudes towards insulin therapy should be emphasized for adaptation to the disease.

scholarly journals Examining the ParticipACTION brand using the brand equity pyramid

2018 ◽  
Vol 8 (4) ◽  
pp. 378-396 ◽  
Author(s):  
Alexander Lithopoulos ◽  
Peter A. Dacin ◽  
Tanya R. Berry ◽  
Guy Faulkner ◽  
Norm O’Reilly ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Brand Equity ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Equation Modeling ◽  
Content Type ◽  
Activity Promotion ◽  
Confirmatory Factor

Purpose The brand equity pyramid is a theory that explains how people develop loyalty and an attachment to a brand. The purpose of this study is to test whether the predictions made by the theory hold when applied to the brand of ParticipACTION, a Canadian non-profit organization that promotes active living. A secondary objective was to test whether this theory predicted intentions to be more physically active. Design/methodology/approach A research agency conducted a cross-sectional, online brand health survey on behalf of ParticipACTION. Exploratory factor analysis and confirmatory factor analysis established the factor structure. Structural equation modeling was used to test the hypothesized model. Findings A nationally representative sample of Canadian adults (N = 1,191) completed the survey. Exploratory factor analysis and confirmatory factor analysis supported a hypothesized five-factor brand equity framework (i.e. brand identity, brand meaning, brand responses, brand resonance and intentions). A series of structural equation models also provided support for the hypothesized relationships between the variables. Practical implications Though preliminary, the results provide a guide for understanding the branding process in the activity-promotion context. The constructs identified as being influential in this process can be targeted by activity-promotion organizations to improve brand strength. A strong organizational brand could augment activity-promotion interventions. A strong brand may also help the organization better compete against other brands promoting messages that are antithetical to their own. Originality/value This is the first study to test the brand equity pyramid using an activity-promotion brand. Results demonstrate that the brand equity pyramid may be useful in this context.

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