Factor and factor loading augmented estimators for panel regression with possibly non-strong factors

2021 ◽  
pp. 1-36
Author(s):  
Jad Beyhum ◽  
Eric Gautier
Keyword(s):  
Factor Loading ◽  
Panel Regression

SEM study of quartz grains from recent sediments: Western Iraq

1990 ◽  
Vol 48 (4) ◽  
pp. 860-861
Author(s):  
F. Al-Kufaishi
Keyword(s):  
Factor Loading ◽  
Fault System ◽  
Clay Material ◽  
Crustal Material ◽  
Factor Analyses ◽  
Five Factors ◽  
Sem Study ◽  
Recent Sediments ◽  
Quartz Grains ◽  
Positive Factor

Two localities (Al-Marij and Laik) were selected to investigate the type of Quartz Grains from crustal material formed by evaporation of waters discharged by springs in Hit area, western Iraq, Previous studies on the crustal material (1,2) showed that the water discharged by these springs are associated with Abu-Jir fault system which run parallel to the Euphrates river,Factor analyses of the crustal and soil materials (50 samples analysed for 16 variables)(2) showed five factors; the first factor includes SiO2, Al2O3 and TiO2 with positive factor loading, and CaO, L.O.I. with negative loading and hence lead to the conclusion that the distribution of these variables is a reflection of transported clay material.This study concentrates on the use of SEM to investigate the contribution of Quartz grains found in the crustal material on two selected sites.

FAKTOR FAKTOR YANG MEMPENGARUHI PRODUK DOMESTIK BRUTO NEGARA-NEGARA ASEAN PERIODE 2005-2014

2017 ◽  
Vol 22 (1) ◽  
pp. 23-29
Author(s):  
Leorista Milliardo
Keyword(s):  
Economic Growth ◽  
Analytical Tool ◽  
Panel Regression ◽  
Estimation Model ◽  
Process Data ◽  
Factors Affecting ◽  
Goods And Services ◽  
Asean Member ◽  
Tourism Sector ◽  
Asean Countries

This study was conducted with the aim of identifying the factors affecting economic growth in ASEAN member countries during the period of 2005 - 2014, with the countries sampled in this study were six countries namely Indonesia, Singapore, Malaysia, Thailand, Philippines, Vietnam, Cambodia and Laos. The method of analysis used is the method of Data Panel Regression and Fixed Efect estimation model by using analytical tool to help process data is Eviews 7 program. While data used is panel data from eight ASEAN countries covering 10 year periods. The result of analysis shows that the acceptance of International Tourism Sector and Foreign Direct Investment has positive and significantinfluenceto the economic growth in eight ASEAN countries while the Labor Force is inconclusive. The study also found that Export of Goods and Services had a negative and significanteffect on economic growth.

A JOURNEY TO MEASURE STUDENT COMMUNITY ENGAGEMENT BENEFITS: EVIDENCE FROM AUSTRALIA

2019 ◽  
Vol 1 (1) ◽  
pp. 16
Author(s):  
Ellen Chung ◽  
Hamish B Coates
Keyword(s):  
Community Engagement ◽  
Undergraduate Students ◽  
Factor Loading ◽  
Higher Learning ◽  
Four Dimensions ◽  
Student Community ◽  
Institutions Of Higher Learning ◽  
Final Questionnaire ◽  
Civic Skills ◽  
Career Skills

Community engagement is a phenomenon that has received increasing attention among institutions of higher learning in recent years, and students engaging with communities are generally seen as beneficial. Given this, surprisingly little is known about this form of engagement in Australian higher education, let alone methods to measure its benefits on students. This study discussed the development of the Student Community Engagement Benefits Questionnaire (SCEBS), a questionnaire that measures the perceptions of community engagement benefits among undergraduate students in Australia. The final questionnaire has 32 items allocated to four benefit scales: (1) Career skills, (2) Diversity skills, (3) Interpersonal skills, (4) Civic skills. Most benefit items had a factor loading of atleast 0.40 with its own scale. The results of the factor analysis revealed that the four scales accounted for 53% of the total variance. The alpha reliability coefficient for the four scales ranged from 0.79 to 0.91. Based on these findings, the Student Community Engagement Benefits Scale (SCEBS) is a valid and reliable instrument that can be used in the field of education. Undergraduate students also reported statistically significant changes in the four dimensions after participating in community engagement activities.

Depression among children at shelter care institutions in Terengganu Malaysia

2020 ◽  
Vol 11 (1) ◽  
pp. 17
Author(s):  
Siti Hajar Abdul Rauf ◽  
Asmah Ismail ◽  
Nuratikah Azima Razali ◽  
Ahmad Bisyri Husin Musawi Maliki
Keyword(s):  
Factor Analysis ◽  
Quantitative Research ◽  
Family Stress ◽  
Factor Loading ◽  
Self Esteem ◽  
Keywords Children ◽  
Self Confidence ◽  
Confirmatory Factor ◽  
The Status ◽  
Forward Stepwise

Background: Depression is a state of psychological disease that occurs to someone divers in age due to certain reasons. Among the factors include lack of self-confidence, problematic family, stress, low self-esteem and social environment. It could lead to a mental disorder that endangers the mental health. Aim: To investigate the status of children depression using the Children Depression Inventory (CDI) at 21 shelter care institutions in Terengganu Malaysia. Methodology: Quantitative research design was used. The sample consists of 404 respondents from 21 Islamic shelter cares such as Tahfiz, Madrasah and Orphanage in Terengganu Malaysia from the age of 10 to 18 years. Data was analyzed using Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA) and Discriminant Analysis (DA) which then computed to identify the most dominant factors whereas reducing the initial five parameters with recommended >0.50 of factor loading. Results: Forward stepwise of DA shows the total of groups validation percentage by 92.08% (17 independent). The result showed that the highest frequency of respondent index was at a moderate level (62.87% respondents). This showed that children still can be controlled and cared to reduce depression. Keywords: Children Depression Index, Depression, Children, Institution, Shelter Care

PROFITABILITY, GROWTH OPPORTUNITIES, LEVERAGE, UKURAN PERUSAHAAN, DAN KEBIJAKAN DIVIDEN

2017 ◽  
Vol 2 ◽  
pp. 227-240
Author(s):  
Diyan Lestari
Keyword(s):  
Automotive Industry ◽  
Firm Value ◽  
Dividend Policy ◽  
Stock Exchange ◽  
Secondary Data ◽  
Panel Regression ◽  
Positive Signal ◽  
Growth Opportunities ◽  
Return On Equity ◽  
Negative Effect

Dividend policy is one of the most important activities which investors will wait and interpret the action as a positive signal because it indicates the firm performance (a firm which distributes dividend considered has better performance). Dividend policy is a strategical decision since it will impact firm credibility and firm value. This study aims to analyze the effect of profitability, growth opportunities, leverage, and size on dividend policy in the automotive industry which listed in Indonesia Stock Exchange from 2009 to 2016. The automotive industry is one of Indonesian middle-class standard measurement and it will be the biggest automotive ASEAN market in 2019. We use secondary data and use pooling regression (panel regression) to analyze the result of the study. The result shows that profit margin, return on asset, and size has positive and statistically significant on dividend policy, growth opportunities has the negative effect and statistically significant on dividend policy, while return on equity and leverage do not affect the dividend policy. Keywords: Profitability, growth opportunities, leverage, firm size, dividend policy

Exploration of Product Centric Factors in Telecom Industry

2015 ◽  
Vol 8 (1) ◽  
Author(s):  
Swati Ganeti ◽  
Rajat Agarwal ◽  
Murali Krishna Medudula ◽  
Mahim Sagar
Keyword(s):  
Service Quality ◽  
Service Provider ◽  
Service Providers ◽  
Network Connectivity ◽  
Factor Loading ◽  
The Other ◽  
Relative Importance ◽  
Network Connection ◽  
Telecom Service ◽  
Telecom Industry

Telecom industry is one of those industries which has changed dramatically during the past decade. With more and more players entering in this industry, competition is ever increasing. The war between these players is slowly shifting from the price to the augmentation. This paper aims at exploring such factors which influence a customers preference of one telecom service provider (TSP) over the other. It is a descriptive research where study has been conducted among the consumers of different telecom service providers (TSPs). By reviewing the existing literature in this domain, we explored different factors which affect the consumers decision to prefer one telecom service provider over the other. A consumer targeted questionnaire was designed where consumers were asked about the factors they consider (with their relative importance quantified using Likert scale), before buying a new network connection to know the relative importance of the various factors. Factor Analysis was performed to club various variables into distinct factors. Statistical techniques then helped in identifying the relative importance. From the Factor Loading matrix the following five factors were generated:- Overall service quality, Point of Purchase Differentiator, Promotion Measures, Tariff Plans and Size of the Network. Further study in the behavioural perceptions of consumer shows that the most important factor in influencing the customer buying behavior is Service Quality. The second most important factor is cost and various plans offered by the telecom service provider. Network connectivity was considered by almost all the respondents and consumers prefer the largest network player. The study also found that promotional measures dont influence the customers as expected.

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