scholarly journals Risky behavior, risky decision making, family functioning and lifestyle in people with HIV: Structural equation modeling

2017 ◽  
Vol 11 (3) ◽  
pp. 84-97
Author(s):  
Fariba Ebrahim Babaee ◽  
Mojtaba Habibi ◽  
saeed Ghodrati ◽  
◽  
◽  
...  
Keyword(s):  
Decision Making ◽  
Structural Equation Modeling ◽  
Family Functioning ◽  
Structural Equation ◽  
Risky Behavior ◽  
Equation Modeling ◽  
Risky Decision Making ◽  
Risky Decision

scholarly journals Risky decision making in a laboratory driving task is associated with health risk behaviors during late adolescence but not adulthood

2015 ◽  
Vol 40 (1) ◽  
pp. 58-63 ◽  
Author(s):  
Jungmeen Kim-Spoon ◽  
Rachel Kahn ◽  
Kirby Deater-Deckard ◽  
Pearl Chiu ◽  
Laurence Steinberg ◽  
...  
Keyword(s):  
Decision Making ◽  
Substance Use ◽  
Health Risk ◽  
Risk Behaviors ◽  
Structural Equation ◽  
Age Groups ◽  
Health Risk Behaviors ◽  
Equation Modeling ◽  
Risky Decision Making ◽  
Risky Decision

Adolescence is characterized by increasing incidence of health risk behaviors, including experimentation with drugs and alcohol. To fill the gap in our understanding of the associations between risky decision-making and health risk behaviors, we investigated associations between laboratory-based risky decision-making using the Stoplight task and self-reported health risk behaviors. Given that there has been no examination of potential age differences in the associations between risky decision-making and health risk behaviors, we also examined whether the association of risky decision-making with health risk behaviors is consistent across adolescence and adulthood using two-group structural equation modeling (SEM). The results indicated significant differences across the two age groups: adolescents (17–20 year olds) who took more risks on the Stoplight task reported greater frequency and earlier onset of substance use, whereas stoplight performance was not associated with substance use frequency or onset among adults (31–61 year olds). Our findings suggest that a laboratory-based measure of risky decision-making is significantly related to health risk behaviors among adolescents but not among adults.

Study on the Integrated Method of SEM and DEMATEL

2014 ◽  
Vol 926-930 ◽  
pp. 3722-3727
Author(s):  
Wei Meng
Keyword(s):  
Decision Making ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Model Fitting ◽  
Assessment Model ◽  
Model Specification ◽  
Equation Modeling ◽  
Model Assessment ◽  
Integrated Method ◽  
Model Modification

This paper compares Structural Equation Modeling and Decision Making Trial and Evaluation Laboratory. Structural Equation Modeling and Decision Making Trial and Evaluation Laboratory are all methods to study factors’ structure problem. Some steps of the two methods can completely replace each other and complement each other. This paper puts forward an integrated method of Structural Equation Modeling and Decision Making Trial and Evaluation Laboratory that includes competing model specification, model fitting, model assessment, model modification and result explain.

scholarly journals Gaya Hidup, Orientasi Pilihan Strategi dan Pengambilan Keputusan Usaha pada UMKM di Kota Palembang

2012 ◽  
Vol 13 (2) ◽  
pp. 73-84
Author(s):  
Anastasia Sri Sukistini ◽  
◽  
Antonius Singgih Setiawan ◽  
Agustinus Widyartono ◽  
◽  
...  
Keyword(s):  
Decision Making ◽  
Structural Equation Modeling ◽  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation ◽  
Strategy Choice ◽  
Primary Data ◽  
Equation Modeling ◽  
Questionnaire Data ◽  
Business Decision

This study aims to prove the effect of lifestyle, strategy choice orientation on business decision making. This study uses primary data through a survey of culinary entrepreneurs in Palembang. The questionnaire data used in this study were 92 (61.3%). Analysis of Structural Equation Modeling (SEM) Partial Least Squares (PLS) using Warp PLS software version 5.0 to examine the research. The results of the study show that the lifestyle and strategy choice orientation affects business decision-making.

scholarly journals The Effect of Marketing Mix upon The Consumer’s Decision Making to Buy a Product at PT. Griya Pagelaran Bogor,

2018 ◽  
Vol 3 (1) ◽  
pp. 59
Author(s):  
Sumardjono Jono ◽  
Heni Ardila
Keyword(s):  
Decision Making ◽  
Structural Equation Modeling ◽  
Maximum Likelihood ◽  
Analytical Method ◽  
Structural Equation ◽  
Price Level ◽  
Marketing Mix ◽  
Equation Modeling ◽  
Significance Level ◽  
Level Of Significance

The purpose of this study is to determine and prove whether the variablesof the marketing mix significantly has influenced the consumer’s decision making tobuy the product at PT. Griya Pagelaran Bogor. The population of this study are thenumber of unknown sampling determination using Maximum Likelihood estimationmethod by taking samples of consumers who their needs has met with theresearcher requirement as many as 150 respondents. The analytical method hasused is Structural Equation Modeling (SEM) using AMOS 21 program. The result ofthe research shows that 1) Product Variables have a significance level of 0.05 whichis 1,965 > 1,96 and value (p) probability 0,49 ≤ 0.05. Then Ha is accepted andsignificant effect. 2) Variable Price level of significance 0.05 is 2.023 > 1.96 and hasa probability of 0.43 which is below 0.05. And the value (p) probability ≤ 0.05 then Hais accepted and significant effect. 3) Place Variables significance level of 0.05 is2.251 > 1.96 and has a probability of 0.24 which is below 0.05. And the value (p)probability ≤ 0.05 then Ha is accepted and significant effect. 4) Promotion Variables0.05 level of significance is 3.435 > 1.96 and has a probability in accordance with therecommended. And the value (p) probability ≤ 0.05 then Ha accepted and significanteffect.

scholarly journals The Relationship Between Acculturation, Ecodevelopment, and Substance Use Among Hispanic Adolescents

2016 ◽  
Vol 37 (7) ◽  
pp. 948-974 ◽  
Author(s):  
Marcos J. Martinez ◽  
Shi Huang ◽  
Yannine Estrada ◽  
Madeline Y. Sutton ◽  
Guillermo Prado
Keyword(s):  
Substance Use ◽  
Structural Equation Modeling ◽  
Family Functioning ◽  
Structural Equation ◽  
Equation Modeling ◽  
School Bonding ◽  
Hispanic Adolescents ◽  
Hispanic Culture ◽  
Relationship Of ◽  
The Relationship

Using structural equation modeling, we examined the relationship of Hispanicism on recent substance use and whether Americanism moderated the effect in a sample of 1,141 Hispanic adolescents. The Bicultural Involvement Questionnaire (BIQ) was used to determine the degree of individual comfort in both Hispanic (Hispanicism) and American (Americanism) cultures. Hispanicism was associated with greater family functioning (β = .36, p < .05) and school bonding (β = .31, p < .01); Americanism moderated the effect of Hispanicism on substance use (β = .92, p < .01). Findings suggest that Hispanic culture was protective against substance use; however, those effects differed depending on level of Americanism.

scholarly journals Do Executive Attentional Processes Uniquely or Commonly Explain Psychometric g and Correlations in the Positive Manifold? A Structural Equation Modeling and Network-Analysis Approach to Investigate the Process Overlap Theory

2021 ◽  
Vol 9 (3) ◽  
pp. 37
Author(s):  
Stefan J. Troche ◽  
Helene M. von Gugelberg ◽  
Olivier Pahud ◽  
Thomas H. Rammsayer
Keyword(s):  
Decision Making ◽  
Structural Equation Modeling ◽  
Selective Attention ◽  
Structural Equation ◽  
Performance Test ◽  
Short Form ◽  
Equation Modeling ◽  
Executive Attention ◽  
Conceptual Foundation ◽  
Network Analyses

One of the best-established findings in intelligence research is the pattern of positive correlations among various intelligence tests. Although this so-called positive manifold became the conceptual foundation of many theoretical accounts of intelligence, the very nature of it has remained unclear. Only recently, Process Overlap Theory (POT) proposed that the positive manifold originated from overlapping domain-general, executive processes. To test this assumption, the functional relationship between different aspects of executive attention and the positive manifold was investigated by re-analyzing an existing dataset (N = 228). Psychometric reasoning, speed, and memory performance were assessed by a short form of the Berlin Intelligence Structure test. Two aspects of executive attention (sustained and selective attention) and speed of decision making were measured by a continuous performance test, a flanker task, and a Hick task, respectively. Traditional structural equation modeling, representing the positive manifold by a g factor, as well as network analyses, investigating the differential effects of the two aspects of executive attention and speed of decision making on the specific correlations of the positive manifold, suggested that selective attention, sustained attention, and speed of decision making explained the common but not the unique portions of the positive manifold. Thus, we failed to provide evidence for POT’s assumption that the positive manifold is the result of overlapping domain-general processes. This does not mean that domain-general processes other than those investigated here will not be able to show the pattern of results predicted by POT.

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