A Regression Analysis Model of Ordinal Variable to Psychological Data

2015 ◽  
Vol 47 (12) ◽  
pp. 1520
Author(s):  
Peng XU ◽  
Lu QI ◽  
Jian XIONG ◽  
Haosheng YE
2021 ◽  
pp. 88-93
Author(s):  
Nurmaidah Ginting ◽  
Mila sari Br Ginting ◽  
, Ine Selvia Br Tarigan

in this study is to find out how the influence of service quality, price and promotion on customer satisfaction with the aim of testing and analyzing the effect of service quality, price and promotion on customer satisfaction at PT. Benua Trans Maju Bersama Cabang Medan. The research was started in October 2020 – May 2021. In this study, the researcher used quantitative research techniques with the type of research being descriptive quantitative and the nature of the research was descriptive explanatory research. The population in this study were all customers has 223 customers. where validity and reliability were first tested in order to determine whether a questionnaire was valid or not, and researchers did it to 30 customers and the rest were 143 customers as a sample test. Then it is processed using the classical assumption test which includes: normality test, multicollinearity test, and heteroscedasticity test. The data analysis model in this study uses multiple regression analysis. The conclusion from the results of this study is that there is a service quality partially positive and significant effect on customer satisfaction. The price partially positive and significant effect on customer satisfaction. Promotion positive and significant effect on customer satisfaction Simultaneously the variables of service quality (X1), price (X2) and promotion (X3), there is a positive and significant influence on customer satisfaction (Y).


2018 ◽  
Vol 17 ◽  
pp. e18888
Author(s):  
Azam Goodarzi ◽  
Alireza Heidarnia ◽  
Sedigheh Sadat Tavafian ◽  
Mohammad Eslami

Aim: The main aim of this study was to Evaluate of Decayed, Missing and Filled Teeth (DMFT) Index in 12 Year Old Students of Tehran City, and to identify related factors that affect dental caries within this group. Methods: A cross-sectional survey was conducted among students of 12 years old in Tehran, Iran. Dental caries status was assessed in terms of decayed teeth (DT), filled teeth (FT) and decayed, missing and filled teeth (DMFT). “Data were analysed using SPSS version 22; a multivariate regression analysis was used to determine statistically significant associations between DMFT and other variables (p < 0.05). Results: A total of 416 respondents participated in the study. The mean age of the students was10.94 (SD=0.628) years, and the mean DMFT was 1.03 (SD=1.41). So that, in this study DT (0.53 ± 0.95) had the highest and MT (0.14 ± 0.47) had the lowest mean. A multivariate regression analysis model results showed a significant relation between high DMFT scores and such variables as increasing age, lower levels of mother's education, higher family income, lower frequency of tooth brushing and dental flossing, having a history of no visits to the dentist (P<0.05). Conclusion: The current study shows that Iranian female students have a poor oral health behavior, as very few subjects use dental floss on a regular basis. Although there appeared to be a significant relationship between caries scores and demographic factors such as age and socio-behavioral variables include  family income, the level of mothers' education, the frequency of dental brushing and flossing, and both the frequency and type of visit to a dentist.


2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Jin Xu ◽  
Chao Yi

Cluster regression analysis model is an effective theory for a reasonable and fair player scoring game. It can roughly predict and evaluate the performance of athletes after the game with limited data and provide scientific predictions for the performance of athletes. The purpose of this research is to achieve the player’s postmatch scoring through the cluster regression model. Through the research and analysis of past ball games, the comparison and experiment of multiple objects based on different regression analysis theories, the following conclusions are drawn. Different regression models have different standard errors, but if the data in other model categories are put into the centroid model expression, the standard error and the error of the original model are within 0.3, which can replace other models for calculation. In the player’s postmatch scoring, although the expert’s prediction of the result is very accurate, within the error range of 1 copy, the player’s postmatch scoring mechanism based on the cluster regression analysis model is more accurate, and the error formula is in the 0.5 range. It is best to switch the data of the regression model twice to compare the scoring mechanism using different regression experiments.


2020 ◽  
Vol 3 (2) ◽  
pp. 133-152
Author(s):  
Achmad Zwageri

The purpose of this study is to analyze; the influence of the characteristics of the top management team on earnings management with audit quality as a moderating variable. The research sample was selected using a purposive method. The research method used is hypothesis testing, and the analysis model of this study uses a moderation regression analysis (MRA). The results showed that the characteristics of top management namely knowledge and tenure had a negative influence on earnings management, and on audit quality as a moderating factor not proven to strengthen its influence on earnings management.


Author(s):  
Budi Prasetyo ◽  
Satiti Utami ◽  
Alwazir Abdusshomad ◽  
Mukti Wijaya ◽  
Nawang Kalbuana

The purpose of this study was to determine the effect of Company Value, Leverage, and Company Size on Earnings Persistence in Companies Listed in the Jakarta Islamic Index (JII). Data obtained from the page www.idnfinancial.com. The data in this study are secondary data. The approach used in this research is a quantitative approach. Sampling technique using purposive sampling technique and data analysis using multiple linear regression analysis. Samples that fit the criteria were obtained by 23 companies during the 2015-2019 observation period. Then the data were analyzed using the SPSS data regression analysis model.26.0 The results showed that firm value had no significant effect on earnings persistence, leverage and firm size had a significant effect on earnings persistence on companies listed on the Jakarta Islamic Index (JII) for the 2015-2019 period.


Media Ekonomi ◽  
2017 ◽  
Vol 20 (1) ◽  
pp. 83
Author(s):  
Jumadin Lapopo

<p>Poverty is being a problem in all developing countries including Indonesia. Among goverment programs, poverty has become the center offattention in policy at both of the regional and national levels. Looking at thephenomenon of poverty, Islam present with solution to reduce poverty through Zakat. This study aims to analyze the effect of ZIS and Zakat Fitrah against poverty in Indonesia in 1998 until 2010, data used in this study is secondary data and uses time series data, for the dependent variabel is poverty and for independent variables are ZIS and Zakat Fitrah. The analysis tools used in this study is to use multiple regression analysis model and the assumptions of classical test using the software Eviews-4. In this study also concluded that the ZIS variables significantly affect to the reduction of poverty in Indonesia although the effect is very small. In the variable Zakat Fitrah not significantly affect poverty reduction in Indonesia because of the nature of Zakat Fitrah is for consumption and not for long-term needs. The results of this study can be used for the management of zakat to be able to develop the management and to get a better system for distribution of zakat so that the main purpose of zakat can be achieved to reduce poverty.<br />Keywords : Poverty, Zakat Fitrah, ZIS.</p>


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