scholarly journals Analysis of Relationship Between Personality and Favorite Places with Poisson Regression Analysis

2018 ◽  
Vol 16 ◽  
pp. 02001 ◽  
Author(s):  
Ha Yoon Song ◽  
Hwa Baek Kang
Keyword(s):  
Regression Analysis ◽  
Poisson Regression ◽  
Human Mobility ◽  
High Tendency ◽  
Independent Variables ◽  
Location Data ◽  
Dependent Variables ◽  
Independent Variable ◽  
The Relationship ◽  
University Laboratory

A relationship between human personality and preferred locations have been a long conjecture for human mobility research. In this paper, we analyzed the relationship between personality and visiting place with Poisson Regression. Poisson Regression can analyze correlation between countable dependent variable and independent variable. For this analysis, 33 volunteers provided their personality data and 49 location categories data are used. Raw location data is preprocessed to be normalized into rates of visit and outlier data is prunned. For the regression analysis, independent variables are personality data and dependent variables are preprocessed location data. Several meaningful results are found. For example, persons with high tendency of frequent visiting to university laboratory has personality with high conscientiousness and low openness. As well, other meaningful location categories are presented in this paper.

ANALISIS PENGARUH FIRM SIZE DAN PROFITABILITAS TERHADAP ISLAMIC SOCIAL REPORTING (ISR) DENGAN EARNING GROWTH SEBAGAI VARIABEL MODERATING PADA JAKARTA ISLAMIC INDEX (JII)

1970 ◽  
Vol 18 (1) ◽  
pp. 137-150
Author(s):  
Titin Hartini
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Firm Size ◽  
Sampling Technique ◽  
Social Reporting ◽  
Analysis Method ◽  
Earning Growth ◽  
Independent Variables ◽  
Dependent Variables ◽  
The Relationship

This study aims to determine and analyze the effect of Firm Size and Profitability on Islamic Social Reporting, and see whether Earning Growth can strengthen or weaken the relationship between independent variables to the dependent variable. This research takes object in companies registered in Jakarta Islamic Index (JII) for period 2011-2015, amounted to 30 companies and obtained by 12 companies by using purposive sampling technique. Data analysis method used is multiple regression analysis. Based on the results of simultaneous research all the variables berpegaruh against Islamic Social Reporting, but partially, only Firm Size that affect the Islamic Social Reporting. In addition, Earning Growth can not strengthen or weaken the relationship between independent variables and dependent variables.

scholarly journals Regresi Median Pada Copula Bivariat

2019 ◽  
Vol 3 (1) ◽  
pp. 07
Author(s):  
Geraldus Anggoro Rinadi ◽  
Leopoldus Ricky Sasongko ◽  
Bambang Susanto
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Median Regression ◽  
Independent Variables ◽  
Bivariate Data ◽  
Dependent Variables ◽  
Frank Copula ◽  
The Relationship

Abstrak: Analisis regresi adalah analisis yang sering digunakan dalam segala bidang yang bertujuan untuk memodelkan hubungan antara dua jenis variabel tak bebas dengan satu atau variabel bebas. Regresi linier masih memiliki beberapa kekurangan, maka dari untuk mengatasinya dengan regresi median. Copula dapat digunakan untuk mendeteksi hubungan data bivariat dengan peubah-peubah yang berbeda. Hasil penelitian menunjukkan kurva kuantil bersyarat terbaik berdasarkan MSE terkecil Data I yaitu copula Plackett sebesar 0.8650. Sedangkan nilai MSE terkecil Data II yaitu copula Gaussian sebesar 0.3954. Nilai MSE terkecil Data III yaitu copula Frank sebesar 0.5575. Terakhir, nilai MSE terkecil Data IV yaitu copula Clayton sebesar 0.3190.Abstract:  Regression analysis is an analysis that is often used in all fields which aims to model the relationship between two types of non-dependent variables with one or independent variables. Linear regression still has several drawbacks, so to overcome this by median regression. Copula can be used to detect bivariate data relations with different variables. The results showed that the best conditional curves based on the smallest MSE of Data I were Plackett copula of 0.8650. While the smallest MSE value is Data II, which is a Gaussian population of 0.3954. The smallest MSE value of Data III is Frank copula of 0.5575. Finally, the smallest MSE value is Data IV which is copula Clayton of 0.3190.

scholarly journals Thai Silk Product Industry Development In The Northeastern Region Of Thailand

2011 ◽  
Vol 8 (10) ◽  
Author(s):  
Nak Gulid ◽  
Sirivan Serirat ◽  
Suphada Sirikudta ◽  
Udom Sayaphan ◽  
Aurathai Lertwannawit ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Quantitative Analysis ◽  
Brand Personality ◽  
Purchasing Behavior ◽  
Silk Industry ◽  
Independent Variables ◽  
Northeastern Region ◽  
Dependent Variables ◽  
The Relationship ◽  
Product Industry

This research aims to study the relationship between independent variables (value, motivation, brand personality, attitude toward product and demographic factor) and dependent variables (purchasing behavior and trend to buy in the future) of Thai silk industry in Northeastern region, Thailand. Quantitative analysis is allowed in this study. This research includes 400 customers who buy Thai silk in two provinces (Roi-Et and Khon-Khen) in the Northeastern region in Thailand. Multiple regression analysis was employed in this study. The result shows that motivation and value are strong influenced on purchasing behavior and trend to buy product in both provinces. However, brand personality and attitude toward product are partially supported our expectations.

scholarly journals THE EFFECT OF BIOGRAPHICAL CHARACTERISTICS AND CULTURAL DIVERSITY ON PERFORMANCE (Survey: Civil Servants of Lubuk Linggau Government)

2014 ◽  
Vol 13 (2) ◽  
Author(s):  
Maulana .
Keyword(s):  
Regression Analysis ◽  
Cultural Diversity ◽  
Multiple Regression Analysis ◽  
Civil Servants ◽  
City Government ◽  
Validity And Reliability ◽  
Independent Variables ◽  
Data Collector ◽  
Dependent Variables ◽  
The Relationship

This research was done in order to investigate the effect of Biographical Characteristics and Cultural Diversity on Performance in Civil Servants of Lubuk Linggau government. There were two variables in this research. The independent variables were Biographical Characteristics (X1)), Cultural Diversity (X2). The dependent variable was the performance of Civil Servants in Lubuk Linggau government. The objectives of this research were: a) to investigate the effect of Biographical Characteristics (X1), Cultural Diversity (X2) toward the performance of Civil Servants in Lubuk Linggau government, and b) to investigate which dominant independent variables affected the Performance of Civil Servants in Lubuk Linggau.government. The method used in this research was causal. The number of sample in this research was 100 Civil Servants in Lubuk Linggau government. The data were collected through questionnaire. Before the test of influence, the test on validity and reliability was conducted to see the level of validity and instrument trusted which can be used as a data collector. To Measure the relationship between variables, multiple regression analysis was used. Based on the analysis results, it was found that variables Biographical Characteristics (X1)), Cultural Diversity (X2) were altogether affected significantly on the Performance of Civil Servants in Lubuk Linggau government. The variation of dependent variables changes (performance) affected by independent variables were Biographical Characteristics (X1)), Cultural Diversity (X2) was 64.4 percent (R2 = 0.644) while the rest which was 35.6 percent was affected by other variables. It means that if the changes were done together, it would affect the Performance of Civil Servants in Lubuk Linggau government which was 64.4 percent. The Result in this research, the independent variables of Biographical Characteristics (X1), Cultural Diversity (X2) partially and simultaneously affected the Performance of Civil Servants in Lubuk Linggau City government.

scholarly journals A Study on the Utilization Factors and Effects of Big Data in SMEs

2021 ◽  
Vol 12 (6) ◽  
pp. 761-766
Author(s):  
Do-Hyung Yee Et.al
Keyword(s):  
Big Data ◽  
Regression Analysis ◽  
Human Resource Development ◽  
Demographic Characteristics ◽  
Data Utilization ◽  
Independent Variables ◽  
Policy Performance ◽  
Dependent Variables ◽  
The Impact ◽  
The Relationship

Background/Objectives: The purpose of this study was to derive major utilization factors that can increase the practical data utilization ability of SMEs by utilizing big data, and examine the utilization methods and effects. Methods/Statistical analysis: This study derives the utilization factors and effects of organizational, technical, environmental, and policy aspects so that SMEs can increase their data utilization capabilities. The target was for SME managers or members.  Frequency analysis was conducted to understand the distribution by demographic characteristics, and the relationship between factors and effects was measured through factor analysis, correlation analysis, and regression analysis for the measured variables. Findings: Perform regression to analyze the impact, utilization, and impact of independent variables on technology, organizational gender, environment, and policy performance as dependent variables Durbin-Watson's index was below 2.1 and self-relevant and had the power to explain the impact of independent variables such as organizational gender, technology, environment, and policy on utilization.  In terms of application, it was found that the use of big data had an effect on education and human resource development rather than the perception of managers and members. Therefore, it was found that education related to big data and in-house experts were recognized as necessary. On the effective side, it was found that the perception of managers and employees influenced. It was found that corporate members thought that when promoting big data, promoting it with the strong will of the manager is an effective aspect for using big data. Improvements/Applications: If you possess the infrastructure and knowledge in the company, and improve the system with the support of members, it will be an opportunity to increase the utilization of it

ANALISA PENGARUH IKLIM ORGANISASI DAN KOMPETENSI TERHADAP KINERJA PEGAWAI PT HUTAMA KARYA

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Erik Wardhana, MM.
Keyword(s):  
Organizational Climate ◽  
Employee Performance ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Free Variable ◽  
Independent Variables ◽  
Dependent Variables ◽  
Correlational Approach ◽  
Survey Research Methods ◽  
The Relationship

This study entitled "Analysis of Effect of Climate Organization and Competence Againt Employee PT. Hutama Karya ". The purpose of this study was to obtain information on the relationship between the free variable that organizational climate (X1) and competence (X2) with the dependent variable is employee performance (Y), either partially or simultaneously, This study used survey research methods with the correlational approach and predictive, which aims for the relationship and influence between independent and dependent variables. The sampling technique can be done randomly (simple random sampling) of 852 employees, which is considered to resprentatif is 89 people. And to solve problems, to analyze and examine the relationship and influence between the independent variables on the dependent variable used models kausalistik through regression analysis with SPSS 14.0

Analisa Pemilihan Moda Transportasi Umum Rute Tanjung Karang – Bandara Radin Inten II Dengan Stated Preference dan Uji Crame’s V

2018 ◽  
Vol 2 (2) ◽  
pp. 137
Author(s):  
Muhammad Abi Berkah Nadi
Keyword(s):  
Regression Analysis ◽  
Utility Function ◽  
Stated Preference ◽  
Technical Analysis ◽  
Chi Square ◽  
Time Headway ◽  
Independent Variable ◽  
The Relationship ◽  
Selection Of

Radin Inten II Airport is a national flight in Lampung Province. In this study using the technical analysis stated preference which is the approach by conveying the choice statement in the form of hypotheses to be assessed by the respondent. By using these techniques the researcher can fully control the hypothesized factors. To determine utility function for model forecasting in fulfilling request of traveler is used regression analysis with SPSS program. The analysis results obtained that the passengers of the dominant airport in the selection of modes of cost attributes than on other attributes. From the result of regression analysis, the influence of independent variable to the highest dependent variable is when the five attributes are used together with the R square value of 8.8%. The relationship between cost, time, headway, time acces and service with the selection of modes, the provision that states whether or not there is a decision. The significance of α = 0.05 with chi-square. And the result of Crame's V test average of 0.298 is around the middle, then the relationship is moderate enough.

scholarly journals A Student’s Guide to the Classification and Operationalization of Variables in the Conceptualization and Design of a Clinical Study: Part 1

2021 ◽  
Vol 43 (2) ◽  
pp. 177-179 ◽  
Author(s):  
Chittaranjan Andrade
Keyword(s):  
Clinical Study ◽  
Significant Relationship ◽  
Research Experience ◽  
Process Variables ◽  
Know How ◽  
Independent Variables ◽  
Cause And Effect ◽  
Confounding Variables ◽  
Dependent Variables ◽  
The Relationship

Students without prior research experience may not know how to conceptualize and design a study. This article explains how an understanding of the classification and operationalization of variables is the key to the process. Variables describe aspects of the sample that is under study; they are so called because they vary in value from subject to subject in the sample. Variables may be independent or dependent. Independent variables influence the value of other variables; dependent variables are influenced in value by other variables. A hypothesis states an expected relationship between variables. A significant relationship between an independent and dependent variable does not prove cause and effect; the relationship may partly or wholly be explained by one or more confounding variables. Variables need to be operationalized; that is, defined in a way that permits their accurate measurement. These and other concepts are explained with the help of clinically relevant examples.

scholarly journals Impact of infarct location on functional outcome following endovascular therapy for stroke

2018 ◽  
Vol 90 (3) ◽  
pp. 313-319 ◽  
Author(s):  
Charlotte Rosso ◽  
Raphael Blanc ◽  
Julien Ly ◽  
Yves Samson ◽  
Stéphane Lehéricy ◽  
...  
Keyword(s):  
Decision Making ◽  
Functional Outcome ◽  
Internal Capsule ◽  
Brain Regions ◽  
Stepwise Logistic Regression ◽  
Independent Variables ◽  
Good Outcome ◽  
Registration Number ◽  
Independent Variable ◽  
The Relationship

ObjectivesThe relationship between stroke topography (ie, the regions damaged by the infarct) and functional outcome can aid clinicians in their decision-making at the acute and later stages. However, the side (left or right) of the stroke may also influence the identification of clinically relevant regions. We sought to determine which brain regions are associated with good functional outcome at 3 months in patients with left-sided and right-sided stroke treated by endovascular treatment using the diffusion-weighted imaging-Alberta Stroke Program Early CT Score (DWI-ASPECTS).MethodsPatients with ischaemic stroke (n = 405) were included from the ASTER trial and Pitié-Salpêtrière registry. Blinded readers rated ASPECTS on day 1 DWI. Stepwise logistic regression analyses were performed to identify the regions related to 3-month outcome in left (n = 190) and right (n = 215) sided strokes with the modified Rankin scale (0–2) as a binary independent variable and with the 10 regions-of-interest of the DWI-ASPECTS as independent variables.ResultsMedian National Institute of Health Stroke Scale (NIHSS) at baseline was 17 (IQR: 12–20), median age was 70 years (IQR: 58–80) and median day-one NIHSS 9 (IQR: 4–18). Not all brain regions have the same weight in predicting good outcome at 3 months; moreover, these regions depend on the affected hemisphere. In left-sided strokes, the multivariate analysis revealed that preservation of the caudate nucleus, the internal capsule and the cortical M5 region were independent predictors of good outcome. In right-sided strokes, the cortical M3 and M6 regions were found to be clinically relevant.ConclusionCortical non-motors areas related to outcome differed between left-sided and right-sided strokes. This difference might reflect the specialisation of the dominant and non-dominant hemispheres for language and attention, respectively. These results may influence decision-making at the acute and later stages.Trial registration numberNCT02523261.

An Empirical Examination of the Anomie Theory of Drug Use

1983 ◽  
Vol 13 (1) ◽  
pp. 49-62 ◽  
Author(s):  
R. Thomas Dull
Keyword(s):  
Drug Use ◽  
Sex Education ◽  
Adult Population ◽  
Adequate Explanation ◽  
Empirical Examination ◽  
Anomie Theory ◽  
Dependent Variables ◽  
Independent Variable ◽  
Level Of Significance ◽  
The Relationship

The purpose of the present study was to investigate the relationship between anomie theory, as measured by Srole's Anomie Scale, and the respondents self-admitted drug use (alcohol, marijuana, tobacco, amphetamines, and barbiturates). An analysis of self-reported drug use data was conducted of a general Texas adult population. This analysis included a series of bivariate cross comparison correlations between the independent variable (anomie) and the dependent drug variables. The relationship between the independent and dependent variables were further examined by calculating the correlation and level of significance within selected categories of several demographic (age, race, sex, education, income, and marital status) control variables. The results indicated that anomie was significantly correlated with several of the drug variables. However, these associations were extremely weak and of little explanatory value. It was concluded that, within the framework of this analysis, anomie theory fails to provide an adequate explanation for the use of drugs.

Sign in / Sign up

Export Citation Format

Share Document