Testing for Regression Coefficient Stability with a Stationary AR(1) Alternative

1985 ◽  
Vol 67 (2) ◽  
pp. 341 ◽  
Author(s):  
Mark W. Watson ◽  
Robert F. Engle
2017 ◽  
Vol 1 (1) ◽  
pp. 37
Author(s):  
Happy Ikmal

Teaching and learning activities is a conscious activity and aims. Therefore, for these activities can be run well and achieve the expected goals, it must be done with the strategy or the right learning approach .. The purpose of this study were: 1) to describe the influence of Self-Concept on the results of studying chemistry at Class XI MA Pacet Mojokerto. 2) Describe the effect of self-efficacy on Learning outcomes chemistry in Class XI MA Pacet Mojokerto 3) Describe the effect of motivation on Learning outcomes chemistry in Class XI MA Pacet Mojokerto 4) Describe the relationship Self-concept, self-efficacy and motivation to Results studied chemistry at Class XI MA Pacet Mojokerto. From the results of the analysis can be summarized as follows: 1) There is a significant relationship between self-concept of the Learning outcomes chemistry inquiry model. T test against self-concept variables (X1) obtained regression coefficient (B) 0.440 (44.0%), coefficient (Beta) 0.091, tcount of 0.378 with significance 0.006 t. Because of the significance of t less than 5% (0.007 <0.05), the Nil Hypothesis (H0) is rejected and working hypothesis (Hi) is received. 2) There is a significant relationship between self-efficacy toward chemistry Learning outcomes inquiry model. T test for Self-efficacy variable (X2) obtained regression coefficient (B) 0.329 (32.9%), coefficient (Beta) 0.124, tcount of 0.436 with a significance of 0.009 t. Because of the significance of t less than 5% (0.008 <0.05), the Nil Hypothesis (H0) is rejected and working hypothesis (Hi) is received. 3) There is a significant relationship between motivation to learn chemistry results inquiry model. T test for motivation variable (X3) obtained regression coefficient (B) 0.130 (13.0%), coefficient (Beta) 0.065, tcount of 0.230 with a significance of 0.001 t. Because of the significance of t less than 5% (0.001 <0.05), the Nil Hypothesis (H0) is rejected and working hypothesis (Hi) received 4) From the calculation results obtained Fhitung value 2,249 (significance F = 0.001). So Fhitung> F table (2,249> 2:03) or Sig F <5% (0.001 <0.05). It means that together independent variables consisting of variable self-concept (X1), Self-efficacy (X2), motivation (X3) simultaneously to variable results of studying chemistry (Y).


2019 ◽  
Vol 14 (4) ◽  
pp. 2455
Author(s):  
I Putu Dharmawan Pradhana ◽  
Putu Nova Kusuma Hendra

The purpose of this study was to determine the effect of transformational leadership, job satisfaction, trust in leaders on employee engagement at PT.Bali Bijaksana Nusa Dua – Bali. The number of samples in this study were 75 employees with a simple random sampling method. Data collection used questionnaire. The data analysis technique used is the classical assumption test, multiple linear regression analysis, t-test, F-test and test coefficient of determination. The results of the study show that there are positive and partial positive effects of transformational leadership, job satisfaction, and trust in leaders in increasing employee engagement at PT. Bali Bijaksana Nusa Dua – Bali. The results showed that the transformational leadership regression coefficient (X1) was 0.268 with a value that meant that each increase in transformational leadership variables could increase employee engagement at PT. Bali Bijaksana Nusa Dua – Bali. Job satisfaction regression coefficient (X2) is equal to 0.303, which means that every increase in job satisfaction variables can increase employee engagement at PT. Bali Bijaksana Nusa Dua – Bali. Regression coefficient value to leader (X3) is equal to 0.256, which means that every increase in the trust variable in the leader can increase employee engagement at PT. Bali Bijaksana Nusa Dua – Bali. As  the results of the determination coefficient of 0.657, its means that 65.7% can explain the model or influence of each variable on work engagement, while the rest (100% -65.7% = 34,3%) is explained by other reasons outside research model.


2020 ◽  
Vol 1 (2) ◽  
Author(s):  
Fitriana Fitriana ◽  
Umi Farida ◽  
Tegoeh Hari Abrianto

This study aims to determine the effect of motivation, self awareness and communication on the work discipline of employees in the Regional Water Supply Company (PDAM) of Ponorogo Regency. The location of research in Pramuka Street Number 21, Nologaten, Ponorogo Regency. The population in this study was 102 employees. The sample in this study used 50 respondents. Data collection techniques using questionnaires, then tested with validity and reliability test, while the method of data analysis using multiple regression analysis with the help of SPSS and hypothesis testing partially or simultaneously. The results showed that; (1) Motivation partially influences the work discipline of employees in the Regional Water Supply Company (PDAM) of Ponorogo Regency with a regression coefficient of 0.317, t value of 2.903> t table of 2.012 and sig. of 0.006 <0.05, (2) Self Awareness partially influences the work discipline of employees in the Regional Water Supply Company (PDAM) of Ponorogo Regency with the results of the regression coefficient of 0.409, t value of 3.478> t table of 2.012 and sig. of 0.001 <0.05, (3) Communication partially influences the work discipline of employees in the Regional Water Supply Company (PDAM) of Ponorogo Regency with the results of a regression coefficient of 0.310, t value of 2.178> t table of 2.012 and sig. of 0.035 <0.05, (4) Motivation, self awareness and communication simultaneously affect employee work discipline in the Regional Water Supply Company (PDAM) of Ponorogo Regency with the calculated F value of 14.807> F table 2.81 and sig value. of 0,000 <0.05, (5) Self awareness is the most dominant variable affecting the work discipline of employees in the Regional Water Supply Company (PDAM) of Ponorogo Regency with the result of self awareness variable t value of 3.478 is greater than the value of t variable count motivation and communication variables. Furthermore, from the value of sig. the variable self awareness of 0.001 is smaller than the value of sig. motivation variable and communication variable.


2019 ◽  
Vol 2 (2) ◽  
pp. 372
Author(s):  
Suryanta Suryanta

This study aims to analyze whether the performance of regional financial management influences economic growth in Depok City, analyzes whether the performance of regional financial management influences unemployment in Depok City, and analyzes whether the performance of regional financial management affects poverty in Depok City with the 2006 study period- 2015 The analysis method used is quantitative descriptive analysis and simple linear regression statistical analysis. Based on the results of hypothesis testing it can be proven that the performance of regional financial management (independence ratio) has a positive and significant effect on economic growth, this can be seen from the value of sig. 0.046 <0.05 with a regression coefficient of 1.883. Then the performance of regional financial management has a negative and significant effect on unemployment, this can be seen from the value of sig. 0.030 <0.05 with a regression coefficient of -6.864. But the performance of regional financial management has no significant effect on poverty, this can be seen from the sig. 0.065> 0.05 with a regression coefficient of -0.512. This can be due to the still high income gap in the community, so that the increasing regional income has not been able to significantly reduce poverty in Depok.


2020 ◽  
Author(s):  
Syofrinal

The purpose of this study is to test the Influence of Work Motivation, Competence, and Compensation Against Performance Employees Regional General Hospital (RSUD) Mentawai Islands District. This study is a census. The data used are primary data by taking sample of 79 (seventy nine) respondents. This research uses analytical tools such as validity, reliability test, multiple linear regression test, t test, F test and coefficient of determination (R2). The results of this study illustrate that all variables have an effect on employee performance except the compensation variable. The results can be described by the equation Y = 12.752 + 0.248X1 + 0.396X2 + 0.051 X3, where X1 = Work Motivation, X2 = Competence, and X3 = Compensation. This means that the constant of 12.752 states that factors other than the variables X1, X2, and X3 that affect employee performance of 12,752. Work Motivation coefficient of 0.248 states that if the variable X1 added one unit will add the effect of employee performance of 0.248 with the assumption that the competence and compensation variables are constant. The regression coefficient X2 of 0.396 is that if the variable X2 increases one unit will increase the employee performance by 0.396 with the assumption that the variable of work motivation and compensation is constant. Furthermore, with X3 regression coefficient of 0.051. This means that with other factors considered constant, the effect of compensation is less than that of work motivation and competence.


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