The Path Analysis of the Effect of Education on Subjective Well-Being

2019 ◽  
Vol 09 (04) ◽  
pp. 726-738
Author(s):  
亚丽 蒋
2021 ◽  
Author(s):  
Aya Toyoshima ◽  
Takashi Kusumi

Abstract Background and Objectives Focusing on the fact that older adults with positive emotions tend to spend time alone, this study aimed to examine the relationship between preference for solitude and subjective well-being among older adults. In Study 1, we developed a revised version of the Preference for Solitude Scale with a three-factor structure, unlike the single-factor structure of the original scale. In Study 2, we examined the relationship between preference for solitude and subjective well-being using the revised scale. Research Design and Methods We conducted an Internet survey with 210 older adults in Study 1 to develop a revised Japanese scale. In Study 2, to address the possible research method bias in Study 1, we conducted a mail survey with 276 older adults. We examined the replicability of Study 1, confirming metric invariance through multi-group analysis and hypothesis model through path analysis. Results The results of the path analysis indicated that “Productivity during solitude” (Factor 3) was positively related with positive affect and life satisfaction, and “Enjoyment of solitude” (Factor 2) was negatively related with negative affect. However, the results of the mediation analysis suggested that preference for solitude was also related to loneliness, and the indirect effect of preference for solitude on well-being was negative. Discussion and Implications “Enjoyment of solitude” and “Productivity during solitude” were related to maintaining subjective well-being among older adults, although the effects were marginal. The impact of preference for solitude was mixed in enhancing and decreasing subjective well-being.


2019 ◽  
Vol 20 (S1) ◽  
pp. 101-107 ◽  
Author(s):  
Ariel Mitev ◽  
Fanni Rencz ◽  
Béla Tamási ◽  
Krisztina Hajdu ◽  
Márta Péntek ◽  
...  

2018 ◽  
Vol 16 (2) ◽  
pp. 125-135
Author(s):  
Dedy Susanto

Penelitian ini memiliki tujuan untuk mengetahui pengaruh frekuensi penggunaan smartphone dan locus of control (LOC) terhadap penggunaan smartphone disaat tidak tepat (waktu tidur dan belajar sendiri), prestasi belajar, dan subjective well-being (SWB). Penelitian ini mengumpulkan sebanyak 342 mahasiswa diambil dengan metode circular systematic random sampling dan diminta mengisi kuesioner penelitian yang telah tervalidasi. Path Analysis digunakan untuk memeriksa pengaruh penggunaan smartphone dan LOC terhadap beberapa variabel yang dipilih. Berdasarkan hasil uji kesesuaian model, covariance model tidak berbeda signifikan terhadap covariance sampel (good fit). Analisis utama penelitian ini menunjukkan bahwa penggunaan smartphone harian berpengaruh terhadap penggunaan smartphone diwaktu tidak tepat, kualitas tidur, dan SWB. Sedangkan LOC berpengaruh terhadap aktivitas penggunaan smartphone diwaktu tidur, kualitas tidur, dan SWB. Penelitian ini menyimpulkan bahwa semakin meningkatnya penggunaan smartphone harian akan meningkatkan penggunaan smartphone diwaktu yang tidak tepat , menurunkan kualitas tidur, dan menurunkan SWB. Selanjutnya, semakin internal LOC, semakin rendah penggunaan smartphone diwaktu tidur, meningkatnya kualitas tidur, dan meningkatnya SWB.


2017 ◽  
Vol 2 (01) ◽  
pp. 139
Author(s):  
Saimroh Saimroh

The Productivity of Indonesian researchers is still considered low at the international level. The researcher productivity is measured through the amount of scientific papers published. This study aimed to prove some factors affecting the research productivity. Specifically, this study aimed to empirically examine the effect of researcher characteristics, subjective well-being, knowledge sharing, and research competence on research productivity.With stratified proportional random sampling technique we obtained a sample of 100 researchers in Office of Research and Development and Training scattered in central and local units. Data were collected using questionnaires to measure research productivity, subjective well-being, knowledge sharing, and research competence. Data were analyzed descriptively and inferentiallly. We used analysis of variance (ANOVA) and path analysis which were processed with SPSS 16 and LISREL 8.80 (Student) for the inferential analysis. The results of ANOVA concluded that the productivity did not differ significantly by gender. However there were significant differences in the research productivity based on the academic qualification and the functional job of researchers. The results of path analysis concluded that subjective well-being and research competence had direct positive effect on the research productivity, knowledge sharing had direct negative impact on the research productivity but knowledge sharing had indirect positive effect through the research competence on the research productivity. Research compentence contributes the highest effect on the research productivity. From this study we recommend that the institution need to improve the research competence on quantitative research method with regard to statistical tools to collect, process, and analyze the research data.


2018 ◽  
Vol 11 (8) ◽  
pp. 127 ◽  
Author(s):  
Irem Sahin ◽  
Oguzhan Kirdok

The purpose of this study is to examine the relationship between high school students’ social support, career adaptability and subjective well-being that are perceived from their family, teachers and friends. The study group consisted of 325 students (193 girls, 132 males) in three secondary schools located in Cukurova and Yuregir districts of Adana city. The data were collected through Career Adaptability Scale, Life Satisfaction Scale, Positive and Negative Affect Schedule and Perceived Social Support Scale and Personal Information Form developed by the researchers to reach the demographic information of the participants. A path analysis was conducted within the framework of structural equation modeling to investigate the relationship between social support, career adaptability and subjective well-being that the students perceived. Data analysis was done through SPSS and AMOS package programs. Correlation coefficients of arithmetic mean, standard deviation, pearson moment analysis were calculated, and path analysis was performed based on the observed variables. The research findings show that there is a significant relationship between subjective well-being, career adaptability and perceived social support. The perceived social support from family, teachers and friends are variables that predict the career adaptability of high school students. Career adaptability has also been found to be a significant predictor of subjective well-being.


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