Test for Heteroscedasticity in Partially Linear Regression Models

Khaled, Waled; Lin, Jin-Guan; Han, Zhong-Cheng; Zhao, Yan‐Gang; Hao, Hongxia

doi:10.1007/s11424-019-7374-2

Cited by 14 publications

(9 citation statements)

References 25 publications

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“…shows the β values between the dependent and independent variables. This is useful when researchers want to compare the strengths in the relationships [28], with β larger values indicating a stronger effect. Also, it is suggested that in CFA models each latent variable has a minimum of three manifest variables, which was done for this investigation.…”

Section: Discussionmentioning

confidence: 99%

Thai Student Teacher Learning Innovation: A Second-Order Confirmatory Factor Analysis

Binheem¹,

Pimdee²,

Petsangsri³

2021

TEM Journal

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The study’s objective was to analyze the corroborating elements of a Thai student teacher’s (TST) learning innovation as perceived through the expertise of their teachers. Therefore, from 12 Thai teaching universities (Rajabhats) located across four Thai regions, multiple sampling techniques were used to select a sample of 151 teaching professionals. The research instrument was a questionnaire using a 5-level scale to assess the opinions on the four latent and 12 observed variables. The results showed that of the three latent variables analyzed that contributed to TST learning innovation (IN), learning innovation use (US) were perceived as most important, followed by the learning innovation development process (DE) and then the TST’s creative collaboration (CO) abilities, respectively. Finally, all the observed variables were determined to be compatible with TST innovation learning at a ‘high’ level.

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Section: Discussionmentioning

confidence: 99%

Thai Student Teacher Learning Innovation: A Second-Order Confirmatory Factor Analysis

Binheem¹,

Pimdee²,

Petsangsri³

2021

TEM Journal

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“…To determine whether the regression model can predict the dependent variable consistently across all values of the explanatory variables (Khaled et al, 2019), we first regressed all the independent variables on the dependent variable by saving both unstandardised values of the predicted and residual value. The ANOVA test results and standardised beta coefficients IJES 9,3 for all the independent variable were significant (p < 0.05).…”

Section: Heteroscedasticity Testmentioning

confidence: 99%

Organisation size, innovativeness, self-organisation and inter-organisational coordination

Mutebi

Muhwezi

Ntayi

et al. 2020

IJES

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PurposeThe purpose of this study is to examine how humanitarian organisation size affects inter-organisational coordination and further tested the mediating role of organisational innovativeness, self-organisation in the relationship between humanitarian organisation size and inter-organisational coordination among humanitarian organisations in Uganda.Design/methodology/approachThe study is based on cross-sectional survey; data was collected from 101 humanitarian organisations. The analysis of the proposed hypotheses was done with the help of PLS-SEM using SmartPLS version 3.3.0 for professionals.FindingsThe results show that humanitarian organisation size significantly relates with inter-organisational coordination. In addition, self-organisation and organisational innovativeness play a complementary role between humanitarian organisation size and inter-organisational coordination.Research limitations/implicationsThe findings of this research provide useful insights into the role of humanitarian organisation size in boosting inter-organisational coordination in humanitarian relief delivery. High levels of self-organisation and organisational innovativeness not only improve inter-organisational coordination in humanitarian relief delivery but also enhance the transformation of humanitarian organisation size benefits into inter-organisational coordination.Originality/valueThis research is one of the few studies that investigated the effect of humanitarian organisation size and inter-organisational coordination. It also brings into the limelight the mediating role of self-organisation and organisational innovativeness between humanitarian organisation size and inter-organisational ordination in humanitarian relief delivery.

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“…Linear regression analysis belongs to the quantitative analysis methods, which is widely used in the statistical analysis of data. The application of this method can determine the correlation between two or more variables (Khaled et al, 2019). Among them, beta is called the regression coefficient, also expressed as β.…”

Section: Linear Regression Analysismentioning

confidence: 99%

Exploration of Entrepreneurship Education by Linear Regression and Psychological Factor Analysis

Shi

et al. 2020

Front. Psychol.

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To study the improvement of the entrepreneurial performance of start-ups and achieve an organic combination of entrepreneurship education and entrepreneurial performance, the entrepreneurial group of college students was taken as the springboard to discuss the entrepreneurial performance of start-ups initiated by college students. First, through questionnaire design and scale selection, the results of the questionnaire survey and the reliability and validity of the scale tool were tested. Second, the variable of college students' entrepreneurial self-efficacy based on psychological factor analysis was introduced. The correlations among entrepreneurship education, entrepreneurial selfefficacy, and entrepreneurial performance were analyzed. Finally, the intermediary role of entrepreneurial self-efficacy was verified by using the hierarchical linear regression analysis method combined with the BARON three-part verification method. The results show that the response rate of the questionnaire is 92%, and the selection of research samples is scientific. The Cronbach's α reliability coefficients corresponding to each scale are all above 0.8, and the common factor variances are all above 0.7. Therefore, the reliability and validity of scale tools are good. Entrepreneurship education, entrepreneurial self-efficacy, and entrepreneurial performance are significantly correlated with each other. The college students' entrepreneurial self-efficacy has a good explanatory ability and plays an intermediary role; in the entrepreneurial innovation learning dimension, its corresponding β = 0.257; in the dimension of school organizational support, the corresponding β = 0.439; in the dimension of social interaction, the corresponding β = 0.238. The results have a reference value for studying entrepreneurship education and the improvement of entrepreneurial performance from a psychological level.

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Test for Heteroscedasticity in Partially Linear Regression Models

Cited by 14 publications

References 25 publications

Thai Student Teacher Learning Innovation: A Second-Order Confirmatory Factor Analysis

Thai Student Teacher Learning Innovation: A Second-Order Confirmatory Factor Analysis

Organisation size, innovativeness, self-organisation and inter-organisational coordination

Exploration of Entrepreneurship Education by Linear Regression and Psychological Factor Analysis

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