scholarly journals DETERMINAN PERILAKU RUMAH TANGGA DALAM PENGHEMATAN ENERGI LISTRIK DI WILAYAH JAWA BARAT MENGGUNAKAN STRUCTURAL EQUATION MODELING

2020 ◽  
Vol 5 (2) ◽  
pp. 121-134
Author(s):  
Siti Sadiah ◽  
Fitria Virgantari ◽  
Ani Andriyani ◽  
Sri Hartini ◽  
Dion Achmad
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Electricity Consumption ◽  
Secondary Data ◽  
Electrical Energy ◽  
Equation Modeling ◽  
Self Awareness ◽  
Community Activities ◽  
Individual Self ◽  
And Control

This study aims to analyze the Theory Planned of Behavior model using Structural Equation Modeling and analyze the factors that influence household behavior in electricity consumption in West Java. The data used in this study are secondary data on electricity consumption in lighting equipment obtained from the Renewable Energy and Energy Conservation database in 2016. The results showed that behavioral intention and control had a positive and significant effect on behavior, then behavior control had a positive and significant effect. significant on intention. While subjective attitudes and norms do not significantly influence intention. The indicators that influence a person's behavior factors in saving electrical energy in lighting equipment are individual self-awareness to use household appliances that are labeled energy efficient, lifestyle of individuals who often fill their time for cooking activities at home, gathering with friends and family, visiting market, stamp collection, and individuals who work as volunteers, participate in community activities, and gardening.

Is Self-Compassion Universal? Support for the Measurement Invariance of the Self-Compassion Scale Across Populations

Assessment ◽  
2020 ◽  
Vol 28 (1) ◽  
pp. 169-185 ◽  
Author(s):  
István Tóth-Király ◽  
Kristin D. Neff
Keyword(s):  
Structural Equation Modeling ◽  
Measurement Invariance ◽  
Structural Equation ◽  
Secondary Data ◽  
The Self ◽  
Equation Modeling ◽  
Exploratory Structural Equation Modeling ◽  
Self Compassion ◽  
Wide Range ◽  
Compassion Scale

The Self-Compassion Scale (SCS) is a widely used measure to assess the trait of self-compassion, and, so far, it has been implicitly assumed that it functions the same way across different groups. This assumption needs to be explicitly tested to ascertain that no measurement biases exist. To address this issue, the present study sought to systematically examine the generalizability of the bifactor exploratory structural equation modeling operationalization of the SCS via tests of measurement invariance across a wide range of populations, varying according to features such as student or community status, gender, age, and language. Secondary data were used for this purpose and included a total of 18 samples and 12 different languages ( N = 10,997). Multigroup analyses revealed evidence for the configural, weak, strong, strict, and latent variance–covariance of the bifactor exploratory structural equation modeling operationalization of the SCS across different groups. These findings suggest that the SCS provides an assessment of self-compassion that is psychometrically equivalent across groups. However, findings comparing latent mean invariance found that levels of self-compassion differed across groups.

scholarly journals Modeling The Influential Factors Of 8th Grades Student’s Mathematics Achievement In Malaysia By Using Structural Equation Modeling (SEM)

2014 ◽  
Vol 3 (4) ◽  
pp. 172
Author(s):  
Ahmad Nazim
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Secondary Data ◽  
Sampling Technique ◽  
Influential Factors ◽  
Equation Modeling ◽  
Cluster Sampling ◽  
Accuracy And Precision ◽  
Best Fit

This research demonstrates the application of Structural Equation Modeling (SEM) method in order to obtain the best fit model for a more efficient and accurate inter-relationship among variables findings and interpretation. For the purpose of this study, secondary data of Trends in International Mathematics and Science Study (TIMSS) was used. The questionnaire were distributed by using two stage stratified cluster sampling technique to 5733 eighth grades students in Malaysia. A Confirmatory Factor Analysis (CFA), Discriminant Validity and Path Analysis had been conducted to obtain the best fit model of SEM. At the end of the study, a best fit model will be obtained for a better accuracy and precision estimation in further analysis.

scholarly journals The Effect of Livelihood Assets on Living Strategies: An Empirical Study of Farmer Household Characteristics

2021 ◽  
Vol 1 (3) ◽  
pp. 241-252
Author(s):  
Abraham Illu ◽  
Abdul Wahib Muhaimin ◽  
Budi Setiawan
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Quantitative Research ◽  
Secondary Data ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Livelihood Strategies ◽  
Primary Data ◽  
Equation Modeling ◽  
Livelihood Assets

This study aims to analyze the effect of livelihood assets and demographics on the implementation of farmers' livelihood strategies in Pandansari Village, Ngantang District, Malang Regency after the eruption of Mount Kelud. This research is a type of quantitative research that uses Structural Equation Modeling (SEM) analysis with the Warp PLS approach. Primary data were obtained through in-depth interviews using questionnaires and field observations, while secondary data obtained through literature studies from various related sources. It was determined the location deliberately considering that Pandansari Village was the area in Ngantang District that was the worst affected by the eruption of Mount Kelud. Seventy-five farmers with simple random sampling technique were selected as respondents in this study. The results showed that livelihood assets had a positive but insignificant effect on demographics. Then livelihood assets have a positive and significant influence on livelihood strategies. Meanwhile, demographics have a negative and significant impact on livelihood strategies. Keywords : Sustainable Livelihoods, Livelihood Assets, Livelihood Strategies, Eruption, Structural Equation Modeling (SEM), WarpPLS.

scholarly journals Significance of Monitoring and Control for Employees’ Felt Trust, Motivation, and Mastery

2017 ◽  
Vol 7 (4) ◽  
Author(s):  
Vilde Hoff Bernstrøm ◽  
Helge Svare
Keyword(s):  
Structural Equation Modeling ◽  
Intrinsic Motivation ◽  
Random Sample ◽  
Structural Equation ◽  
Equation Modeling ◽  
Monitoring And Control ◽  
Felt Trust ◽  
And Control ◽  
The Relationship

The aim of the current study is to investigate the importance of monitoring and employee control for employees’ felt trust, as well as felt trust as a mediating variable between monitoring and control, intrinsic motivation and mastery. A random sample of 3015 Norwegian employees was analyzed using Structural Equation Modeling. Monitoring was negatively related to employees’ felt trust, while employees’ control over decisions was related to higher felt trust. In turn, felt trust was related to employees’ intrinsic motivation and experience of mastery. Felt trust also partially mediated the relationship between employee control and intrinsic motivation, employee control and mastery, and entirely mediated the relationship between monitoring and intrinsic motivation and monitoring and mastery. The findings highlight the importance of felt trust for theory related to the workplace: Our findings support that employees are less intrinsically motivated if they are monitored because they feel less trusted.

scholarly journals The Association of Caffeine Metabolite with Obesity and Low-Density Lipoprotein Level

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1681-1681
Author(s):  
Crystal Rose ◽  
Seongkum Heo ◽  
Corey Nagel ◽  
Reza Hakkak ◽  
Reid Landes ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Secondary Data ◽  
Equation Modeling ◽  
Funding Sources ◽  
Final Sample ◽  
Using Data ◽  
The Relationship

Abstract Objectives To examine if waist circumference mediated the relationship between 1, 7-dimethylxanthine (a caffeine metabolite) and serum LDL level, adjusting for age, gender, race/ethnicity, smoking, and alcohol consumption. Methods A secondary data analysis study was conducted using data from the National Health and Examination Survey (NHANES) 2009–2010 data collection wave. The final sample included 1976 weighted respondents. Structural equation modeling was used to examine the objectives of this study. Results Structural equation modeling found that levels of 1, 7-dimethylxanthine were not associated with levels of LDL, and that WC was not a mediator of the relationship, adjusting for the covariates. None of the covariates were associated with LDL level, controlling for WC. Conclusions Further longitudinal studies are needed to more thoroughly examine the role of central obesity on the relationship between caffeine and LDL level. Funding Sources None.

scholarly journals PRODUKSI BERAS DI INDONESIA

IQTISHODUNA ◽  
2011 ◽  
Author(s):  
Hayati Hehamahua
Keyword(s):  
Growth Rate ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Secondary Data ◽  
Paddy Rice ◽  
Rice Production ◽  
Population Increase ◽  
Equation Modeling ◽  
Analysis Model ◽  
Land Width

Crop product especially rice is on of strategic and important commodities in Indonesian economic. The growing needs of rice because of the increasing population from year to year. It seems that domestic rice need projection, as principal food from year to year  will increase as explained by  USDA in the Agricultural Baseline Projection report to 20014. Import projection showed that until 2014 the domestic need for rice will increase  22-25 tons along with population increase, that is expected will reach 253 populations  in 2014 (with growth rate of 1.49% per year). This research based on secondary data that is related with research variable: land width, productivity, unhulled paddy, rice production, and rice import. The used analysis model to  test this hypothesis is Structural Equation Modeling (SEM) The results by using SEM showed that (1) land influence significantly  and positively toward rice production (2) land influence positively and positively  productivity (3) productivity influence positively and significantly toward rice production  (4) productivity influence the rice import, (5) and production influence the rice import.

Testing the Assumption of Uncorrelated Errors for Short Scales by Means of Structural Equation Modeling

2014 ◽  
Vol 35 (4) ◽  
pp. 201-211 ◽  
Author(s):  
André Beauducel ◽  
Anja Leue
Keyword(s):  
Structural Equation Modeling ◽  
Negative Correlation ◽  
Structural Equation ◽  
Error Score ◽  
Classical Test Theory ◽  
Test Theory ◽  
Equation Modeling ◽  
Eysenck Personality Questionnaire ◽  
Personality Questionnaire ◽  
True Score

It is shown that a minimal assumption should be added to the assumptions of Classical Test Theory (CTT) in order to have positive inter-item correlations, which are regarded as a basis for the aggregation of items. Moreover, it is shown that the assumption of zero correlations between the error score estimates is substantially violated in the population of individuals when the number of items is small. Instead, a negative correlation between error score estimates occurs. The reason for the negative correlation is that the error score estimates for different items of a scale are based on insufficient true score estimates when the number of items is small. A test of the assumption of uncorrelated error score estimates by means of structural equation modeling (SEM) is proposed that takes this effect into account. The SEM-based procedure is demonstrated by means of empirical examples based on the Edinburgh Handedness Inventory and the Eysenck Personality Questionnaire-Revised.

The Measurement Invariance of the Short Dark Triad

2020 ◽  
Vol 41 (4) ◽  
pp. 207-218
Author(s):  
Mihaela Grigoraș ◽  
Andreea Butucescu ◽  
Amalia Miulescu ◽  
Cristian Opariuc-Dan ◽  
Dragoș Iliescu
Keyword(s):  
Structural Equation Modeling ◽  
Item Response ◽  
Structural Equation ◽  
Dark Triad ◽  
Theory And Practice ◽  
Equation Modeling ◽  
Scale Level ◽  
High Stake ◽  
Differential Functioning ◽  
Item Functioning

Abstract. Given the fact that most of the dark personality measures are developed based on data collected in low-stake settings, the present study addresses the appropriateness of their use in high-stake contexts. Specifically, we examined item- and scale-level differential functioning of the Short Dark Triad (SD3; Paulhus & Jones, 2011 ) measure across testing contexts. The Short Dark Triad was administered to applicant ( N = 457) and non-applicant ( N = 592) samples. Item- and scale-level invariances were tested using an Item Response Theory (IRT)-based approach and a Structural Equation Modeling (SEM) approach, respectively. Results show that more than half of the SD3 items were flagged for Differential Item Functioning (DIF), and Exploratory Structural Equation Modeling (ESEM) results supported configural, but not metric invariance. Implications for theory and practice are discussed.

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