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

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.

2016 ◽  
Vol 35 (5) ◽  
pp. 494-505 ◽  
Author(s):  
Christine DiStefano ◽  
Jin Liu ◽  
Yin Burgess

When using educational/psychological instruments, psychometric investigations should be conducted before adopting to new environments to ensure that an instrument measures the same constructs. Exploratory structural equation modeling and confirmatory factor analysis methods were used to examine the utility of the short form of the Pediatric Symptoms Checklist (PSC-17) in the school setting. Using a sample of 836 preschool children rated by teachers, three factors were identified across both techniques, with factors matching the hypothesized structure of the instrument. The PSC-17 may be an option for use in preschool settings when conducting behavioral and emotional screening.


2014 ◽  
Vol 926-930 ◽  
pp. 3722-3727
Author(s):  
Wei Meng

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.


2012 ◽  
Vol 13 (2) ◽  
pp. 73-84
Author(s):  
Anastasia Sri Sukistini ◽  
◽  
Antonius Singgih Setiawan ◽  
Agustinus Widyartono ◽  
◽  
...  

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.


2018 ◽  
Vol 3 (1) ◽  
pp. 59
Author(s):  
Sumardjono Jono ◽  
Heni Ardila

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.


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