Multiple Regression Analysis of Complex Judgments

1973 ◽  
Vol 36 (3) ◽  
pp. 723-731 ◽  
Author(s):  
Douglas A. Steane ◽  
Robert D. Hoge
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Decision Situation ◽  
Judgment Analysis ◽  
Independent Variables ◽  
Amount Of Information ◽  
Instructional Set ◽  
Analysis Technique ◽  
Complex Decision

An experiment dealing with behavior within a complex decision situation is described. The independent variables were level of information and instructional set. Two levels of information differed in terms of the number of attributes used to describe the stimuli, while two sets of instructions differed with respect to the presence or absence of a rule regarding the processing of the information. Data were analyzed in terms of the Judgment Analysis technique. Both consistency of judgments and the nature of policies were significantly affected by the level of information and instructional set. Utilization of amount of information was affected only by level of information. The Judgment Analysis technique proved successful as an aid in analyzing judgments within the complex decision situation.

PENGARUH PELATIHAN DAN MOTIVASI TERHADAP KINERJA KARYAWAN PADA KOPILOKA 3.0 PALEMBANG TAHUN 2021

2021 ◽  
Vol 1 (2) ◽  
pp. 145-152
Author(s):  
Juni Eliana Prasetya N ◽  
Moh. Faizal ◽  
Choirunnisak Choirunnisak
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Work Motivation ◽  
Employee Performance ◽  
Independent Variables ◽  
Analysis Technique ◽  
Level Of Training ◽  
Positive Effect

In this study, there are results that contradict the theory which states that the higher the level of training and motivation, the employee's performance should increase.  In this study, training had no effect and motivation had no positive effect. This study aims to determine the effect of training and work motivation on employee performance in Kopiloka 3.0.  The population in this study were all employees at Kopiloka 3.0, which amounted to 15 people with a sample of 15 people using saturated sampling.  The data analysis technique in this study used SPSS 24 software, which consisted of data quality test, classical assumption test, multiple regression analysis, and hypothesis testing. By using multiple regression analysis, the results of the study show that training has no effect on employee performance.  Motivation has a significant effect on employee performance.  Simultaneously (together) the independent variables of training and motivation have an effect on employee performance.

scholarly journals Quality Assurance among Childcare Employees in Selangor

2021 ◽  
Vol 18 ◽  
pp. 1498-1511
Author(s):  
Yaty Sulaiman ◽  
Ng Kel Lie
Keyword(s):  
Quality Assurance ◽  
Regression Analysis ◽  
Quality Management ◽  
Total Quality Management ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Employee Commitment ◽  
Total Quality ◽  
Independent Variables ◽  
Employee Competencies

Caregiver or childcare employee is responsible to produce excellent quality in taking care of the children. A good practice of quality assurance among employees is important to develop the future generations. The objective of this research is to identify the factors that influence quality assurance among childcare employees in Selangor. It is to determine the relationship between factors (physical facilities, employee commitment, communication, and employee competencies) and quality assurance. A random sampling technique was used to select respondents from the registered childcare centers in Selangor, Malaysia. The study used quantitative approach through structured questionnaires developed from previous research. Among 450 survey questionnaires distributed, only 379 questionnaires were accepted and used for analysis. Study uses SPSS 22.0 to analyze data. Methodologies such as Pearson Correlation and Multiple Regression Analysis were conducted in analyzing the data. Findings revealed that quality assurance is having a positive relationship with physical facilities, employee commitment, communication, and employee competencies, with the overall results of the multiple regression analysis showed that all independent variables have relationships with the dependent variable at p=0.000. The result of this test also indicated that all independent variables have positive beta coefficient value as physical facilities, employee commitment, communication and employee competencies at 0.372, 0.251, 0.064 and 0.103 respectively. Thus, this study adds to better understanding of the total quality management (TQM) which is the main underlying theory used to develop the research framework. In general, Total Quality Management (TQM) advised on the factors such as physical facilities, employee commitment, employee competencies, and communication that when applied, could get the best result of employees.

Application of multiple regression analysis to morphometric characters obtained from Serranus cabrilla (linnaeus, 1758) by using stepwise method

2017 ◽  
Author(s):  
Levent Sangün ◽  
O. Ýnanç Güney
Keyword(s):  
Body Weight ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
The Body ◽  
Stepwise Multiple Regression ◽  
Morphometric Characters ◽  
Independent Variables ◽  
Fisheries Science ◽  
Stepwise Method

In fisheries science, high number of morphometric measures (independent variables) taken from different parts of the fish complicates the estimation of the body weight (dependent variable). Therefore, the researchers are seeking for a solution facilitating the interpretation of the equations of correlation between the characteristics. One way to deal with this challenge is the dimension reduction by means of stepwise multiple regression analysis. The aim of this study is to explain total variation with the same accuracy by using fewer independent variables. To accomplish this, 12 morphometric measures from 210 individuals of Serranus cabrilla were measured to estimate the body weight. Firstly, the 95% of the variation was explained by means of multiple regression analysis by using all variables. Then, by step-wise method, the same results were achieved with fewer independent variables. Finally, the variables with inter-multicollinearity eliminated and with two remaining independent variables determination coefficients resulted as 95%. The result showed that using more variables does not create significant distinction for accuracy to estimate the body weight although; the total length and body dept was the most effective features for weight.

scholarly journals Evaluation of Motor Transport Infrastructure Influence on Socio-Economic Indicators of Minsk Region

2018 ◽  
Vol 17 (4) ◽  
pp. 314-319
Author(s):  
R. B. Ivut ◽  
P. V. Popov ◽  
P. I. Lapkovskaya ◽  
I. V. Emelyanovich
Keyword(s):  
Economic Development ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Transport Infrastructure ◽  
Economic Indicators ◽  
Infrastructure Development ◽  
Independent Variables ◽  
Socio Economic Development ◽  
The Republic

The paper substantiates the necessity to study a transport infrastructure in the context of its impact on socioeconomic indicators pertaining to the development of a certain region. The importance of this study is confirmed by the goals and objectives of the transport system development of the Republic of Belarus, which are outlined in the National Strategy of the Republic of Belarus for Sustainable Socio-Economic Development for the period until 2030, and they are considered as well as priority areas for the development of Minsk region, presented in the Sustainable Development Strategy of Minsk Region for 2016–2025. The influence of eight indicators for transport infrastructure development of Minsk region on four key socio-economic indicators of the region development such as gross regional product, investment in fixed assets, revenues of consolidated budgets, average wage level has been investigated in the paper. A multiple regression analysis has been applied for assessing a relationship between dependent and independent variables. A step selection method has been used as a method of multiple regression analysis. All calculations have been carried out in the IBM SPSS Statistics 20 program. As a result of the study correlation indicators have been established between dependent and independent variables, relationships between variables and dependencies have been determined in the paper. The reliability of the obtained results have been verified with the help of the Fisher and Student's criteria. The obtained results have made it possible to identify key indicators for a transport infrastructure of Minsk region which have the greatest impact on socio-economic development of this region and can be used to analyze an investment attractiveness of Minsk region.

scholarly journals Mencari Variabel-variabel Yang Mempengaruhi Sikap Mental Entrepreneural (Wirausaha)Pada Pemerintah Kabupaten Serdang Bedagai

2006 ◽  
Vol 6 (2) ◽  
pp. 155
Author(s):  
Arfan Ikhsan
Keyword(s):  
Regression Analysis ◽  
Key Words ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Mental Attitude ◽  
Independent Variables ◽  
Independent Variable

<p class="Style1">This research try to find some variables that influence entrepreneurial mental attitude at government of Serdang Bedagai Regency. independent variable which considered in this research is hierarchy, formalizes, trust, mission, ethics and regulation barriers level. Those independent variables will be able to improve society satisfaction, reduc­tion of level of bureaucracy and improvement of risking tendency. The data of this research collected from organization chart of Serdang Bedagai Regency. Amount of 68 responders participated in this research. Hereinafter this data processed by using multiple regression analysis. The result shows that formalizes, trust, mission, ethics and regulation barriers level have an effect significantly toward society satisfaction and also bureaucracy. Meanwhile risking tendency is significantly influenced by hierarchy, formalizes, mission and ethics.</p><p class="Style1" align="center">Key Words: hierarchy, formalizes, trust, mission, ethics and regulation barriers level</p>

scholarly journals PENGARUH PAJAK, SUBSIDI DAN ZIS TERHADAP PENURUNAN KEMISKINAN DI INDONESIA

Media Ekonomi ◽  
2013 ◽  
Vol 22 (2) ◽  
pp. 123
Author(s):  
Hikmathiar Ramadhan ◽  
Tatik Mariyanti
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Regression Method ◽  
The State ◽  
Independent Variables ◽  
Multiple Regression Method ◽  
The Relationship

<p>This paper discusses the analysis of the effect of taxes and subsidies and ZIS (Zsakat, Infaq and Sedekah) to the reduction of poverty in Indonesia in the period 1994 to 2013. The variables used in include taxes, subsidies, ZIS and poverty of the State of Indonesia. The method used in this thesis is a multiple regression method along with the classical assumptions. This study aims to determine the relationship between variables taxes, subsidies and ZIS against poverty. In addition, this study also aims to look at the variables which play a role in reducing poverty. The results using multiple regression analysis, it appears that all the independent variables are not significant and have adjusted R-square is nice. Next to the classical assumption test, based on the results of research there is a violation of classical assumptions in this research is the Normality.</p>

scholarly journals Pengaruh Segmentasi Pasar dan Positioning Terhadap Keputusan Pembelian Simcard Axis di Kota Padang

Jurnal Ecogen ◽  
2019 ◽  
Vol 2 (4) ◽  
pp. 822
Author(s):  
Gita Remeo Nensi ◽  
Rose Rahmidani
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Market Segmentation ◽  
Sampling Method ◽  
Sampling Technique ◽  
Primary Data ◽  
Purchase Decision ◽  
Analysis Technique

This study aims to determine how much influence the market segmentation and positioning to purchase decision of the simcard Axis in Padang city. This type of research is causative. The population in this study were peoples in Padag city. The sample were takrn using Cochran formula with 100 respondents. This sampling technique used is based on nonprobability sampling method. The type of data used in this study is primary data. Data analysis technique used multiple regression analysis technique using SPSS version 24.00. The results of this study indicate that: 1) Market segmentation has a positive significant effect on decision purchase simcard Axis in Padang city. 2) Positioning has a positive significant effect on decision purchase simcard  Axis in Padang city.  Keyword: market segmentation simcard axis, positioning simcard axis, purchase decision simcard axis

scholarly journals Standardization The Effect of Parent’s Social Demographic Conditions on Working Hours among Child Labors in Makassar City

2019 ◽  
Vol 8 (2) ◽  
pp. 127
Author(s):  
Lisa Nursita ◽  
Andi Tenri Lawa Putri
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Working Hours ◽  
Psychological States ◽  
Daily Routines ◽  
Analysis Technique ◽  
Social Demographic ◽  
Working Hour

A long working hour will negate child’s Physical and Psychological states. For this reason, it is paramount to investigate the surrounding factors which may affect the working hours among child labors. The finding potentially bring information to stakeholders and authorities which later may assist them in taking the best decision to deal with child labors and further reduce the working hours. This study aimed to investigate the effect of the household education, income, parents’ age, and number of dependents on the child’s working hour in Makassar City. The data were collected from 100 respondents using survey and the data were analyzed with multiple regression analysis technique. The results found that the parent’s education and income negatively and significantly predicted working hours among child labors. Thus, this study suggested that the authorities should reduce the poverty so the families do not further employ their children to support their financial needs. The authorities should also empower the community to shift the child’s daily routines from working to schooling.

scholarly journals A Study on the Prediction of Daily Snowmelt Depth using Multiple Linear Regression

2020 ◽  
Vol 20 (6) ◽  
pp. 311-321
Author(s):  
YeoungRok Oh ◽  
Gyumin Lee ◽  
Kyung Soo Jun ◽  
Wooyeon Sunwoo ◽  
SeungWoo Baek ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Regression Model ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Snow Depth ◽  
Meteorological Data ◽  
Multiple Regression Model ◽  
Independent Variables ◽  
Fresh Snow ◽  
Humidity Range

In this study, daily snowmelt was predicted using observed meteorological data and multiple regression analysis. Five observation stations (located in Daegwallyeong, Gwangju, Seosan, Mokpo, and Jeonju) were selected to analyze fresh snow depth from 2000 to 2010. The dependent variable used in the multiple regression analysis was daily snowmelt depth, and the independent variables were fresh snow depth, diurnal temperature range, temperature interception, diurnal humidity range, humidity intercept, and solar radiation. Seventy percent of the total observed data was used to develop a multiple regression model and the regression model was verified using the 30% of remaining data. The adjusted R-squared and Root Mean Square Deviation (RMSE) were used to examine the developed regression model. As a result, the adjusted R-squared was higher than 0.769 (except Daegwallyeong); thus the developed model represented well the daily snowmelt depth. Even Jeonju had an adjusted R-squared of 0.869. Also, the RMSE in all of the five stations was lower than 2.5 cm. The lowest value in Seosan was 1.7 cm. From the two types of verification, the developed multiple regression model was judged to be suitable to predict the daily snowmelt depth. However, multicollinearity should be explained, as rapid increases in temperature and sustained high temperature could not be reflected in the model. Therefore, if the limitations were resolved in further research, the model could be used to predict the amount of daily snowmelt depth more reliably.

scholarly journals The Effect of Tourism Accessibility Perception Towards Tourists Visiting Intention to Toba Lake in Samosir District

2021 ◽  
Vol 4 (1) ◽  
pp. 39-52
Author(s):  
Dina Wati Veronika Napitupulu ◽  
Fitri Rahmafitria ◽  
Rosita Rosita
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Random Sampling ◽  
Statistical Data ◽  
Sampling Techniques ◽  
Independent Variables ◽  
Tourist Destinations ◽  
Approach Method

ABSTRACTThis study aims to see the effect of perceptions received by tourists visiting intention to Toba Lake, Samosir Regency. A quantitative approach method was used by using statistical data in multiple regression analysis. The population was domestic tourists and the sample was 325 respondents who were obtained using random sampling techniques. The results were divided into (1) a significant effect and positive destination accessibility and simultaneously on the intention in tourist visits 2) the ability of the independent variables in explaining the related variables was 53.8% the remaining 46.2% from other variables not discussed in this study 3) the influence of accessibility variable on tourists' visiting intention is strong. From these results it can be concluded that accessibility according to the Apollo concept needs to be improved by the manager of tourist destinations at Toba Lake because the role of accessibility affects the intention to visit tourists to Toba Lake. Keywords: Real Accessibility, Destination Accessibility, and Visiting Intention 

Sign in / Sign up

Export Citation Format

Share Document