scholarly journals Multivariate Modellbildung für metrische Daten

1983 ◽  
Vol 5 (1) ◽  
Author(s):  
Dieter Holtmann
Keyword(s):  
Path Analysis ◽  
Multiple Regression ◽  
Partial Correlation ◽  
The Difference

AbstractThe application of multiple regression and path analysis is discussed in regard to the exclusive use of the beta coefficients. Beta is one of the possible ways of controlling for the effects of the remaining predictors, others are part and partial correlation, part and partial covariance. A typology is developed for the difference between total and controlled effect. With this instrument (for controlled effect = beta) it can be shown under which conditions the sum of the total explaining power (r

The Relative Importance of Socioeconomic and Political Variables for Public Policy

1977 ◽  
Vol 71 (2) ◽  
pp. 559-566 ◽  
Author(s):  
Michael S. Lewis-Beck
Keyword(s):  
Public Policy ◽  
Path Analysis ◽  
Multiple Regression ◽  
Partial Correlation ◽  
Policy Outcomes ◽  
Statistical Techniques ◽  
Relative Importance ◽  
Simple Correlation ◽  
Independent Variables ◽  
Political Variables

Since Dawson and Robinson, a dominant issue in the quantitative study of public policy has been the relative importance of socioeconomic and political variables for determining policy outcomes. It is argued here that past efforts to resolve this issue have been unsatisfactory, largely because they relied on inadequate statistical techniques, i.e., simple correlation, partial correlation, or multiple regression. Coefficients from these techniques are irrelevant for all but the most peculiar models of public policy. In general, if the researcher wishes to assess the relative importance of independent variables, it will be necessary to resort to path analysis of a formally constructed causal model. The comparison of “effects coefficients,” derived from path analysis, is offered as the preferred means of evaluating independent variables, superior to comparisons of coefficients from simple correlation, partial correlation, or multiple regression. When the effects coefficients are actually calculated for a popular model of welfare policy, socioeconomic variables appear much more important than political variables, contrary to interpretations coming from the more traditional statistical techniques.

scholarly journals INFLUENCE ANALISYS OF MUDHARABAH, MUSHARAKAH, AND MURABAHAH FINANCING TO PROFITABILITY OF SHARIA COMMERCIAL BANK IN INDONESIA 2016-2019 WITH NON PERFORMING FINANCING AS INTERVENING VARIABLE

2020 ◽  
Vol 11 (2) ◽  
Author(s):  
Aditama Dewantara ◽  
Anton Bawono
Keyword(s):  
Path Analysis ◽  
Multiple Regression ◽  
Commercial Bank ◽  
Analytical Method ◽  
Annual Report ◽  
Islamic Banking ◽  
The Difference

This study aims to determine the effect of mudharabah, musharakah, and murabahah financing on profitability through problem financing as a mediating variable. The examined data was sourced from the annual report of Islamic Banking Statistics published by the Otoritas Jasa Keuangan (OJK). The used analytical method is multiple regression and path analysis. The results of this study indicate that mudharabah, musharakah and murabahah financing do not have a significant effect on profitability directly. And then based on the path analysis stated that problematic financing can mediate the influence of musharakah financing on profitability, but it cannot mediate mudharabah and murabahah. The difference between this study with the others is the use of NPF as intervening variable wich is still rarely used by other researchers.

IMBALAN DAN GAYA KEPEMIMPINAN PENGARUHNYA TERHADAP KEPUASAN KERJA KARYAWAN DI BALAI BESAR INDUSTRI HASIL PERTANIAN BOGOR

2018 ◽  
Vol 1 (01) ◽  
pp. 17
Author(s):  
Ramlan Ruvendi
Keyword(s):  
Job Satisfaction ◽  
Multiple Regression ◽  
Correlation Coefficient ◽  
Analysis Of Variance ◽  
Partial Correlation ◽  
Multiple Correlation Coefficient ◽  
Multiple Correlation ◽  
Average Value ◽  
Partial Correlation Coefficient

The study was carried out to find out whether there were influence and correlation bet-ween : a) Reward received by the IRDABI’s employees on their job satisfaction. b) style of the leader-ship on the job satisfaction. c) Reward together with style of leadership on the job satisfaction of IR-DABI’s employees.The result of the study showed that there was significant correlation and influence between the reward on the job satisfaction with was shown by the value of partial correlation coefficient of 0.6185 and coefficient of multiple regression for reward variable (β1) of 0.412. The influence of variable for style of leadership on the job satisfaction was also significant with the partial correlation coefficient of 0.5495 and coefficient of multiple regression (β2) of 0.355.In the test of Analysis of Variance (ANOVA) on the equation of multiple regression show that F-value was bigger that F-table (F = 58.97 > F-table = 3.098) or the Probability Value smaller than 0.05. At showed that there was significant correlation and influence between reward variables all together with style of leadership on the job satisfaction of employees. The value of multiple correlation coefficient (R) was 0.751 and R Square (R2) was 0.564. Value of R Square (0.564) meant that 56.5% of variation pro-portion total of job satisfaction can be eliminated of equation of multiple regression was used as the es-timator rather than using average value of job satisfaction as the estimator.

Elimination of outlier measurements for damage detection of structures under changing environmental conditions

2021 ◽  
pp. 147592172199847
Author(s):  
William Soo Lon Wah ◽  
Yining Xia
Keyword(s):  
Damage Detection ◽  
Multiple Regression ◽  
Natural Frequencies ◽  
Detection Method ◽  
Detection Methods ◽  
Structure Model ◽  
Bridge Structure ◽  
Beam Structure ◽  
Dependent Variables ◽  
The Difference

Damage detection methods developed in the literature are affected by the presence of outlier measurements. These measurements can prevent small levels of damage to be detected. Therefore, a method to eliminate the effects of outlier measurements is proposed in this article. The method uses the difference in fits to examine how deleting an observation affects the predicted value of a model. This allows the observations that have a large influence on the model created, to be identified. These observations are the outlier measurements and they are eliminated from the database before the application of damage detection methods. Eliminating the outliers before the application of damage detection methods allows the normal procedures to detect damage, to be implemented. A multiple-regression-based damage detection method, which uses the natural frequencies as both the independent and dependent variables, is also developed in this article. A beam structure model and an experimental wooden bridge structure are analysed using the multiple-regression-based damage detection method with and without the application of the method proposed to eliminate the effects of outliers. The results obtained demonstrate that smaller levels of damage can be detected when the effects of outlier measurements are eliminated using the method proposed in this article.

Dichotomization, Partial Correlation, and Conditional Independence

1996 ◽  
Vol 21 (3) ◽  
pp. 264-282 ◽  
Author(s):  
András Vargha ◽  
Tamás Rudas ◽  
Harold D. Delaney ◽  
Scott E. Maxwell
Keyword(s):  
Conditional Independence ◽  
Partial Correlation ◽  
Statistical Significance ◽  
Conventional Wisdom ◽  
Predictor Variables ◽  
Lower Power ◽  
Partial Correlations ◽  
Current Article ◽  
The Difference ◽  
The Relationship

It was recently demonstrated that performing median splits on both of two predictor variables could sometimes result in spurious statistical significance instead of lower power. Not only is the conventional wisdom that dichotomization always lowers power incorrect, but the current article further demonstrates that inflation of apparent effects can also occur in certain cases where only one of two predictor variables is dichotomized. In addition, we show that previously published formulas claiming that correlations are necessarily reduced by bivariate dichotomization are incorrect. While the magnitude of the difference between the correct and incorrect formulas is not great for small or moderate correlations, it is important to correct the misunderstanding of partial correlations that led to the error in the previous derivations. This is done by considering the relationship between partial correlation and conditional independence in the context of dichotomized predictor variables.

scholarly journals PERAN KECERDASAN SPIRITUALITAS DAN KECERDASAN EMOSIONAL TERHADAP KEBERMAKNAAN HIDUP PADA SUSTER OSF YANG PURNAKARYA

2017 ◽  
Vol 4 (2) ◽  
pp. 33
Author(s):  
Yustina Surani ◽  
Indriyati Eko Purwaningsih
Keyword(s):  
Emotional Intelligence ◽  
Multiple Regression ◽  
Family Environment ◽  
Partial Correlation ◽  
Purpose In Life ◽  
Correlation Study ◽  
Spiritual Intelligence ◽  
Intelligence Scale ◽  
Life Scale ◽  
Sex Knowledge

ABSTRACTThe purpose of this research was to predict the contribution of spiritual and emotional intelligence towards the purpose in life of OSF retired nuns. The participants were 39 nuns. This correlation study used purpose in life scale, spiritual intelligence scale, and emotional intelligence scale to collect data. The data was analyzed with partial correlation and linier multiple regression. Spiritual and emotional intelligence was positively related to the purpose in life ( r = 0,406 ; p <0,05).  The contribution of spiritual and emotional intelligence was 16,4%. It means that other variables such as sex, knowledge, motivation, age, family environment, and other environment contributing 83,6%. The researcher concluded that: First, the purpose in life of retired nuns can be predicted by spiritual and emotional intelligence; Second, spiritual intelligence supports the purpose in life of retired nuns; Third, emotional intelligence supports the purpose in life of retired nuns. Keywords: spiritual intelligence, emotional intelligence, purpose in life

scholarly journals HUMAN DEVELOPMENT INDEX AND AUDIT OPINION

2018 ◽  
Vol 6 (1) ◽  
pp. 13-22
Author(s):  
Wahyudin Nor ◽  
Muhammad Hudaya ◽  
Rifqi Novriyandana ◽  
Dewi Lesmanawati ◽  
Melllani Yuliastina
Keyword(s):  
Human Development ◽  
Multiple Regression ◽  
Human Development Index ◽  
T Test ◽  
Audit Opinion ◽  
Average Performance ◽  
Development Index ◽  
Analysis Techniques ◽  
The Difference

This study aims to investigate: the influence of human development indeks (HDI) and growth of HDI on auditor opinion and the difference between the level of HDI entities that get the predicate of qualified opinion or non qualified opinion. The data of this research comprise 1.482 out of 496 regency/cities governments in Indonesia during 2014-2016. The analysis techniques used are multiple regression and independent simple t test. The results of this study show that the human development indeks has influence on auditor opinion, the growth of human development indeks has influence on auditor opinion. The results of this study also found that the average performance of HDI between regency/ cities in Indonesia is different between of qualified opinion or non qualified opnion.

scholarly journals Analisis CSR Dan Kinerja Keuangan Studi Empiris Pada Perusahaan Yang Terdaftar Pada Indeks Sri Kehati

2012 ◽  
Vol 5 (2) ◽  
Author(s):  
Farah Margaretha
Keyword(s):  
Financial Performance ◽  
Partial Correlation ◽  
Corporate Social Performance ◽  
Stock Exchange ◽  
Social Performance ◽  
Sample Population ◽  
Significant Relation ◽  
Managerial Implications ◽  
The Difference ◽  
Corporate Social

The objectives of this study are to analyze the difference and correlation between the corporate social performance  and the corporate financial performance Companies in Indonesia,  The sample population of this study is company listed in Indonesian Stock Exchange. sampling was used in this study, are 23 companies in SRI KEHATI Index  The CSR score is measured by content analysis of corporate annual report . The data is tested by using partial correlation test to know the correlation between the corporate social performance and financial performance.  The results of this study show that there no significant relation between financial performance at (t) year and CSR  but found significant at tht (t+1) year. Managerial implications from this research will hopefully provide a new discourse  for investor in considering the aspects that need to be taken into investments that are not to monetary measurements. this research hopes management company can provide the input on the importance of corporate social responsibility in terms of the overall strategic management to improve the company's financial and social performance and raise awareness of companies to conduct CSR activities.

The Presence of Limited Joint Mobility Is Significantly Associated with Multiple Digit Involvement by Stenosing Flexor Tenosynovitis in Diabetics

2009 ◽  
Vol 36 (8) ◽  
pp. 1686-1690 ◽  
Author(s):  
MAKOTO KAMEYAMA ◽  
SHU MEGURO ◽  
OSAMU FUNAE ◽  
YOSHIHITO ATSUMI ◽  
HIROYASU IKEGAMI
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Diabetic Patients ◽  
Joint Mobility ◽  
Limited Joint Mobility ◽  
Chi Squared ◽  
Tunnel Syndrome ◽  
The Difference ◽  
Flexor Tenosynovitis

Objective.Diabetes is associated with several disorders of the hand, including stenosing flexor tenosynovitis (SFTS). The feature of SFTS in diabetics is a higher prevalence of multiple digit involvement. We examined the magnitude of the tendency for involvement of more digits by SFTS in diabetic patients than in nondiabetic patients, and attempted to clarify the factors influencing multiple digit involvement by SFTS in diabetics.Methods.The study comprised 302 diabetic patients with SFTS and 235 nondiabetic patients with SFTS. The total number of digits exhibiting SFTS within the 1-year period following the initial visit to the Department of Orthopaedic Surgery was investigated in a prospective manner. We compared the difference in the frequency of multiple digit involvement by SFTS between diabetic and nondiabetic patients using the chi-squared test. Multiple regression analysis was performed to examine the contribution of independent variables [defined as 12 factors including age, sex, type of diabetes, estimated duration of diabetes, HbA1c values, carpal tunnel syndrome, Dupuytren contracture, limited joint mobility (LJM), de Quervain's disease, diabetic retinopathy, diabetic nephropathy, and dyslipidemia] to the total number of digits affected by SFTS in diabetic patients.Results.Diabetic patients showed a significantly higher prevalence of multiple digit involvement than nondiabetic patients (p < 0.0001). Multiple regression analysis in diabetic patients revealed that the presence of LJM was positively associated with the prevalence of multiple digit involvement (r = 0.626, p < 0.0001).Conclusion.LJM in diabetics is closely associated with SFTS involving multiple digits.

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