Introduction to multiple regression for categorical and limited dependent variables

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.

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Pengaruh Kepemimpinan, Motivasi Kerja, dan Kepuasan Kerja Terhadap Kinerja Personil Polisi Bidokkes Polda Kalimantan Selatan

RELEVANCE Journal of Management and Business ◽

10.22515/relevance.v2i2.1869 ◽

2019 ◽

Vol 2 (2) ◽

Author(s):

Supriadi Noor ◽

Titien Agustina

Keyword(s):

Job Satisfaction ◽

Multiple Regression ◽

Work Motivation ◽

Employee Performance ◽

The South ◽

Additional Information ◽

Leadership Motivation ◽

Analysis Technique ◽

Dependent Variables ◽

Independent Variable

The purpose of this study is to analyze the influence of motivational leadership and job satisfaction on the performance of South Kalimantan Police Biddokes personnel. The benefits obtained from this study are providing input or additional information that is meaningful to organizations, companies and further research on leadership, motivation, and job satisfaction with employee performance as a reference for further research.This research variable consists of indentpent variables and dependent variables. The independent variable consists of leadership, motivation and job satisfaction. Whereas the dependent variable consists of employee performance. The analysis technique used is multiple regression (multiple regression) with the help of SPSS 20.0 software.The results of the Leadership, Work Motivation, and Job Satisfaction research of the South Kalimantan Police of Biddokkes went well. Leadership, work motivation, and job satisfaction have a partial effect on the performance of the South Kalimantan Regional Police Biddokkes. Leadership, work motivation, and job satisfaction simultaneously influence the performance of the South Kalimantan Police Biddokkes. Leadership has a dominant effect on the performance of the South Kalimantan Regional Police Biddokkes compared to work motivation and job satisfaction.

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