CHAID Analysis to Determine Socioeconomic Variables that Explain Students' Academic Success

Önder, Emine; Uyar, Şeyma

doi:10.13189/ujer.2017.050410

Cited by 9 publications

(4 citation statements)

References 41 publications

(51 reference statements)

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“…Then we used a decision tree analysis; CHAID (Chi-squared Automatic Interaction Detection analysis) to investigate exercisers' characteristics that may predict exercise dependence. The CHAID analysis is used to investigate associations between predictors (in the present study; anxiety, obsessive passion and appearance orientation) and the outcome variable (in the present study; exercise dependence) by searching for the predictors that differ the most on the outcome variable (Önder & Uyar, 2017). The variable that best explains the dependent variable is selected and, according to the selected variable, the data is classified into subgroups.…”

Section: Analysesmentioning

confidence: 99%

Psychological risk factors for exercise dependence

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Josefsson

Ivarsson

et al. 2019

International Journal of Sport and Exercise Psychology

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The main aim of this study was to investigate if exercisers' personality characteristics were associated with exercise dependence. Specifically, the purpose was to examine if anxiety, obsessive passion, and physical appearance orientation were associated to an increased risk for exercise dependence. Participants were 330 exercisers from exercise groups, sport clubs and university sport science classes in the southwest of Sweden. Data were analysed using CHAID (Chi-squared Automatic Interaction Detection) analysis. The CHAID analysis indicated that anxiety was the main predictor of exercise dependence. More specifically, 12.7% more exercisers who experienced high levels of anxiety symptoms (i.e. scores above 6), were, in comparison to the exercises experiencing low levels of anxiety, classified as "at risk for exercise dependence". For exercisers that reported low levels of anxiety symptoms (i.e. scores below 7), obsessive passion for exercise was a positive statistically significant predictor (absolute risk difference = 8.6%). Overall, the results highlight anxiety as a main risk factor behind exercise dependence. Also, the risk of exercise dependence may increase either from obsessive passion or as a coping strategy for anxiety. Furthermore, results may illustrate two types of exercise dependence; "primary" exercise dependence driven mainly by an obsessive passion for exercise and "secondary" exercise dependence where exercise function as a strategy to cope with anxiety.

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Section: Analysesmentioning

confidence: 99%

Psychological risk factors for exercise dependence

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Josefsson

Ivarsson

et al. 2019

International Journal of Sport and Exercise Psychology

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“…The cut-off point of continuous variable stratification is determined by CHAID decision tree analysis, using a = 0.05 as the test level. The variables are further stratified until p > 0.05 [18]. In this study, the analysis results showed that age of >70 years old and fibrinogen level of >4 g/L had a greater impact on the prognosis of ASO patients.…”

Section: Discussionmentioning

confidence: 71%

Therapeutic Effects of Interventional Therapy and Conservative Therapy on Lower Extremity Arteriosclerosis Obliterans and Risk Factors for Prognosis

Chen¹,

Zhang²,

Jiang³

et al. 2021

ARTRES

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Background: Arteriosclerosis Obliterans (ASO) is an important cause for lower limb amputation. We aimed to compare the effects of interventional and conservative therapies on lower extremity ASO, and to analyze the risk factors for prognosis.Methods: Ninety-eight eligible patients were randomly divided into experimental (n = 50) and control groups (n = 48). Conservative therapy was conducted for control group, and experimental group was given conservative and interventional therapies. Their baseline clinical data, hospital stay length, claudication distance, Rutherford stage, diseased arteries, Ankle-Brachial Index (ABI), clinical outcomes and adverse events were recorded. Then they were divided into poor (n = 31) and good prognosis groups (n = 67), and risk factors were explored by univariate and multivariate analyses. Results:The hospital stay length of experimental group was significantly shorter than that of control group (p < 0.05). After treatment, Rutherford stage decreased, and vascular patency rate and total response rate rose in experimental group (p < 0.05). Claudication distance and ABI significantly increased in both groups compared with those before treatment, especially in experimental group (p < 0.05). The incidence rates of cardiovascular and cerebrovascular events, amputation and death were significantly lower in experimental group (p < 0.05). Age, conservative therapy, smoking, hypertension, diabetes mellitus, hyperlipidemia and fibrinogen were independent risk factors for poor prognosis (p < 0.05). Age of >70 years old and fibrinogen level of >4 g/L had greater effects on prognosis. Conclusion:Interventional therapy works well for lower extremity ASO, with high safety, easy recovery and mild complications. Poor prognosis is caused by old age, conservative therapy, smoking, hypertension, diabetes mellitus, hyperlipidemia and increased fibrinogen.

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“…Under our conditions, we found a significant pattern of teacher preferences when performing their pedagogical actions. The robustness of our classification model relies on both the criteria of the exhaustive CHAID analysis performed ( Önder and Uyar, 2017 ; Feu et al, 2019 ; Rodríguez-Sabiote et al, 2021 ) and on the very low Bonferroni-adjusted p -values obtained in the analysis, which are a measure of the compatibility of the entire model of data analysis with the structure of the collected data ( Greenland et al, 2016 ).…”

Section: Discussionmentioning

confidence: 99%

Preschool teachers display a flexible pattern of pedagogical actions in promoting healthy habits in children

2023

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The school represents the optimal setting for promoting the physical, emotional, and social health of children, especially during the first years of life. Understanding the pedagogical actions of teachers to address health education is an important first step in promoting healthy behaviors in children. We inhere analyzed the pedagogical action patterns in the preschool teaching of healthy habits from a holistic health perspective. We used photography as a strategy for data collection and applied a Chi-square automatic interaction detection (CHAID) classification tree, a data mining procedure, to generate a pattern model. We found that the school space and the learning playfulness strategies for the development of executive functions, classified according to the exercise, symbolic, assembly, rules (ESAR) model, were the main factors that influence the pedagogical actions fostering healthy habits. By contrast, the school and the pedagogical resources of the classroom are factors with a much smaller impact on working with healthy habits. This pedagogical action pattern is flexible, since teachers conduct a multiplicity of pedagogical actions through different strategies, in different school spaces, at any time. In conclusion, our results unmask the interdependent relationships between the different factors that determine the teacher’s actions at the preschool. It also contributes to the understanding of the teacher’s practices in fostering healthy habits in a healthy learning environment.

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CHAID Analysis to Determine Socioeconomic Variables that Explain Students' Academic Success

Cited by 9 publications

References 41 publications

Psychological risk factors for exercise dependence

Psychological risk factors for exercise dependence

Therapeutic Effects of Interventional Therapy and Conservative Therapy on Lower Extremity Arteriosclerosis Obliterans and Risk Factors for Prognosis

Preschool teachers display a flexible pattern of pedagogical actions in promoting healthy habits in children

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