scholarly journals Attitude Exploration Using Factor Analysis Technique

2016 ◽  
Vol 5 (1-2) ◽  
pp. 13-25 ◽  
Author(s):  
Monika Raghuvanshi
Keyword(s):  
Factor Analysis ◽  
Analysis Technique

Factor analysis approach to investigate the prevalence of stress among Indian students during COVID 19 pandemic

2021 ◽  
Vol 08 (01) ◽  
Author(s):  
Anita P Bobade ◽  
◽  
Kasturi R Naik ◽  
Keyword(s):  
Factor Analysis ◽  
Health Workers ◽  
Self Regulation ◽  
Internet Survey ◽  
Self Awareness ◽  
Emotional Resilience ◽  
Post Graduate ◽  
Student Stress ◽  
Analysis Technique ◽  
Indian Students

Objective: Since December 2019, the COVID-19 pandemic has posed a considerable threat with its associated high mortality, infection, and hazard of physical, mental, emotional, financial, and spiritual stress (WHO, 2020). A large number of students are affected due to a chronic break from classroom academic activities, the pressure of being hired for an internship or final placement and staying at home. The main focus of this learning is to know the stressors of graduate and post-graduate Indian students and their major hurdles during the COVID-19 lockdown. Further, the study aims to facilitate a proposed model of training, by combining 7 psychosocial variables of emotional resilience which might empower the students to cater to stressors and improve personal, academic, and professional effectiveness (Chen et.al, 2020; Horesh et.al, 2020) Methods: Using a convenience method, an internet survey of the 6-item COVID-19 Student Stress Questionnaire (CSSQ) (modified version Zurlo et.al, 2020) was conducted on students across India. together with their demographic details, the participants also reported their study patterns and challenges during their confinement period. The statistical scores for the responses were calculated and also the demographic variables were analyzed using the factor analysis technique. (Ahorsu et. al,2020) Findings, Discussion, and implications: The findings suggest that self-awareness, self-regulation, mental agility, optimism, self-efficacy, sense of belonging, and psychological safety may be the important emotional resilience to be developed among the Indian students to cope with physical, mental, emotional, financial, and spiritual stressors confronted by them during COVID 19 pandemic to increase personal and professional effectiveness (Maria et.al, 2020, Zurlo et.al. 2017) Conclusion: The study has several practical implications for counselling psychologists, academicians, parents, life coaches handling youth and mental health workers related to the graduate and post-graduate education sector (Taylor et.al, 2020; Sahu et.al, 2020).

scholarly journals An investigation of the prevalence of stress among graduate and post-graduate Indian students during COVID 19 pandemic by means of factor analysis

2021 ◽  
Vol 12 (01) ◽  
Author(s):  
Anita P Bobade ◽  
◽  
Kasturi R Naik ◽  
Keyword(s):  
Factor Analysis ◽  
Health Workers ◽  
Self Regulation ◽  
Internet Survey ◽  
Self Awareness ◽  
Emotional Resilience ◽  
Post Graduate ◽  
Student Stress ◽  
Analysis Technique ◽  
Indian Students

Objective: Since December 2019, the COVID-19 pandemic has posed a considerable threat with its associated high mortality, infection, and hazard of physical, mental, emotional, financial, and spiritual stress (WHO, 2020). A large number of students are affected due to a chronic break from classroom academic activities, the pressure of being hired for an internship or final placement and staying at home. The main focus of this learning is to know the stressors of graduate and post-graduate Indian students and their major hurdles during the COVID-19 lockdown. Further, the study aims to facilitate a proposed model of training, by combining 7 psychosocial variables of emotional resilience which might empower the students to cater to stressors and improve personal, academic, and professional effectiveness (Chen et.al, 2020; Horesh et.al, 2020) Methods: Using a convenience method, an internet survey of the 6-item COVID-19 Student Stress Questionnaire (CSSQ) (modified version Zurlo et.al, 2020) was conducted on students across India. together with their demographic details, the participants also reported their study patterns and challenges during their confinement period. The statistical scores for the responses were calculated and also the demographic variables analyzed using the factor analysis technique. (Ahorsu et.al,2020) Findings, discussion, and implications: The findings suggest that self-awareness, self-regulation, mental agility, optimism, self-efficacy, sense of belonging and psychological safety may be the important emotional resilience to be developed among the Indian students to cope with physical, mental, emotional, financial, and spiritual stressors confronted by them during COVID 19 pandemic to increase personal and professional effectiveness (Maria et.al, 2020, Zurlo et.al. 2017) Conclusion: The study has several practical implications for counseling psychologists, academicians, parents, life coaches handling youth and mental health workers related to the graduate and post-graduate education sector (Taylor et.al, 2020; Sahu et.al, 2020).

scholarly journals Forecasting 2016 US Presidential Elections Using Factor Analysis and Regression Model

2018 ◽  
Vol 12 (1) ◽  
pp. 20-42
Author(s):  
Pankaj Sinha
Keyword(s):  
Factor Analysis ◽  
Standard Error ◽  
Presidential Election ◽  
Dominant Role ◽  
Economic Factor ◽  
Vote Share ◽  
Economic Factors ◽  
White House ◽  
Analysis Technique ◽  
Incumbent Party

The paper categorizes factors responsible for forecasting the outcome of U.S. presidential election 2016 using factor analysis, which groups the various economic and non-economic parameters based on the correlation among them. The major economic factor significant in 2016 US presidential election is the growth of the economy, and the ‘anti-incumbency factor that signifies how long the incumbent party has been controlling the White House is found to be an important non-economic factor likely to play a dominant role in the election. The dependent variables considered are the vote shares of the nominees of the incumbent and the non-incumbent majority party candidates. The forecast is calculated by running a regression of the significant factors, obtained through factor analysis technique, on the incumbent party vote share as well as on the non-incumbent party vote share. The proposed models forecast the vote share of Democrat candidate Mrs. Hillary Clinton to be 45.59% with a standard error of ±2.32% and that of Republican candidate Mr. Donald Trump to be 39.51% with a standard error of ±3.87%. Hence, the models built in the paper signal a comfortable margin of victory for the Presidential nominee of the incumbent party, Hillary Clinton.The study re-establishes the notion that the non-economic factors have a greater influence on the outcomes of election as compared to the economic factors, as some of the important economic factors such as inflation and unemployment rate failed to establish their significance. 

scholarly journals Consumer-Complainant’s Contentment with Reference to Performance of Consumer Dispute Redressal Machinery

2019 ◽  
Vol 8 (2S7) ◽  
pp. 381-385
Keyword(s):  
Factor Analysis ◽  
Customer Satisfaction ◽  
Consumer Protection ◽  
Interactional Justice ◽  
Third Party ◽  
Satisfaction Level ◽  
Digital World ◽  
Consumer Protection Act ◽  
Factors Influencing ◽  
Analysis Technique

Recognizing the significance of customer retention and creation, customer centric firms are continuously and systematically measuring customer satisfaction in terms of how well their customers are being treated and what are the factors influencing customer satisfaction level. Even when conscious efforts are being made by the business to keep its customers satisfied, there may be an instance where a consumer instead of getting his/her grievance resolved with the vendor / service provider approaches the consumer forum i.e. third party for resolution of grievance. An important question that arises in such scenario is that whether such aggrieved persons are satisfied with the offering of the forum or not. Moreover, in today’s dynamic and digital world, third party complaints are on continuous rise. The present study focuses on identifying various factors which influence the satisfaction level of consumer complainants. Through well designed questionnaire, involving likert scale statements related to distributive, procedural and interactional justice, responses have been collected from 300 respondents from the district of Ludhiana from the State of Punjab. Analysis of responses, using factor analysis technique, has enabled the identification of factors such as convenience and cost, behavioural aspect and credentials of the personnel working with consumer dispute redressal forums, established under Consumer Protection Act 1986

Investors’ probable solutions to their problems: a study of Punjab

2018 ◽  
Vol 60 (2) ◽  
pp. 355-372
Author(s):  
Jaspreet Kaur
Keyword(s):  
Factor Analysis ◽  
Stock Market ◽  
Capital Markets ◽  
Credit Rating ◽  
National Level ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Content Type ◽  
Analysis Technique ◽  
The Impact

Purpose Small and ignorant investors have had very unpleasant experiences in the stock market. They should be alert and have proper knowledge and understanding of the various problems that can arise in their dealings and how these can be resolved. This paper aims to analyse the investors’ probable solutions to their investment-related problems by using descriptives and factor analysis technique. Only Securities and Exchange Board of India (SEBI) can ensure a free and fair market and take India into league of major global capital markets in the next round of reforms. Design/methodology/approach By personally visiting the offices of the stockbrokers, 1,000 questionnaires have been distributed among retail equity investors of Punjab, i.e. Amritsar, Jalandhar, Ludhiana and Mohali. Stockbrokers have been selected using simple random sampling technique because of their large number. In total, 373 questionnaires have been filled up by the respondents, and 45 questionnaires have been found to be incomplete and thus have been excluded from the analysis. Remaining 328 questionnaires have been used for the analysis. The objective of the research is to study the investors’ probable solutions to their investment-related problems. The collected data have been analysed using descriptives and factor analysis technique. Findings It has been found that 24.7 per cent retail equity investors have filed complaints while dealing in the securities market; on the other hand, 75.3 per cent retail equity investors have not filed any complaint neither against the company nor against the intermediaries. It has been found that the authorities have taken 12-90 days and even four-five months in providing first reply to their complainants. Moreover, it has been found that in some of the cases, SEBI has written to the concerned companies to resolve the complaints, and some issues have been still pending with SEBI. It has been revealed that SEBI has taken quite long time to resolve the complaints, and equity investors have not been satisfied with the decisions of the SEBI. This study has further highlighted the importance of variables considered by investors as probable solutions to their problems while dealing with securities. The highest mean score has been found for the variable grievance redressal mechanism has been slow, followed by investors have been exploited by the malpractices of companies, merchant bankers and auditors, stronger regulations have been required to strengthen investor protection, investor has yet not educated enough to discriminate between good and not-so-good scrips, etc. These 22 variables measuring the construct of investors’ probable solutions to their problems have been analysed with the help of factor analysis. Six factors have been identified with the help of factor analysis, i.e. stability measures for stock market, investor awareness and education norms, measures to impart knowledge to investors, measures to protect investor rights, audit of companies and investor grievance redressal, and these factors have together explained 68.441 per cent of the variance in data. Research limitations/implications Based on the study done by the researcher, the following suggestions are identified for further research. As the present study is at a state level, it could be extended to national level. The impact of retail investment in capital market may be studied in view of rural investors. The study may further be carried out to analyse the impact of reforms on the functioning of stock exchanges. A study on the awareness of women investors about retail investment pattern could be attempted. Implications of internet stock trading in India can be taken up for study. Impact of technological innovation in capital markets can be studied. Practical implications This study would be of great use for investors who make decisions regarding investment. This study will help policymakers in formulating strategies and will also help credit rating agencies in rating the investment instruments. Social implications This study is of great help for investors and SEBI. This study guides the investors regarding various laws that have been formulated for their protection and guides the SEBI in making strict regulations for the protection of the investors. Originality/value This task is 100 per cent original and some authors have been quoted.

scholarly journals The Novel Paradigm of Economics Driven for Local Smart Sustain Cities Modeling Using Exploratory Factor Analysis and Planning Technique Using Fuzzy Evaluation Decision Making

2020 ◽  
Vol 12 (3) ◽  
pp. 793
Author(s):  
Mode Vasuaninchita ◽  
Varin Vongmanee ◽  
Wanchai Rattanawong
Keyword(s):  
Decision Making ◽  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Smart City ◽  
Smart Cities ◽  
Local Context ◽  
Fuzzy Evaluation ◽  
Analysis Technique ◽  
Planning Technique ◽  
Evaluation Decision

The Smart Cities (SCs) models currently widely employed are identical and inconsiderate of Economics Driven (ED), Local Context (LC), and Sustainability (St) factors. These are key factors to driving, constructing, and developing smart cities. This paper presents a process wherein “the Local Smart Sustain Cities Model (LSSCsM)” is combined and modeled with Exploratory Factor Analysis technique (EFA) to design a smart city that fits the local features of a given area. This particular process creates a Smart Cities Model (SCsM) that has unique sustainability and local context factors. This paper also presents the smart cities Priority Action Ranking (PAR) process using Fuzzy Logic Decision Making (FLDM) to evaluate the strengths and weaknesses of each smart city economics driver and characteristic and prioritize the direction planning of each factor and characteristic. The resulting smart cities model can then be used as the foundation of sustainable smart cities that avoid the pitfall of using incompatible smart cities models as the base and consequently failing, thus avoiding the extravagant costs associated with an unsuccessful project of such scale.

Development of waste occurrence level indicator in Vietnam construction industry

2015 ◽  
Vol 22 (6) ◽  
pp. 715-731 ◽  
Author(s):  
Ha Duy Khanh ◽  
Soo Yong Kim
Keyword(s):  
Factor Analysis ◽  
Construction Industry ◽  
Construction Projects ◽  
Quantitative Information ◽  
Mean Value ◽  
Data Sets ◽  
Level Indicator ◽  
Content Type ◽  
Analysis Technique ◽  
Significant Difference

Purpose – The purpose of this paper is to evaluate the waste occurrence level in the construction industry. It includes: first, identifying the mean value of frequency of waste occurrence according to respondents’ characteristics; second, identifying the main predictive factors for waste occurrence based on latent relationships between initial waste factors; and third, identifying the waste occurrence-level indicator (WOLI) for the construction industry based on the main waste measurement factors. Design/methodology/approach – A total of 19 waste factors were sorted from the literature review. A structured questionnaire was adopted to carry out the survey. The respondents are professionals who have much experience in construction and management of project. Shapiro-Wilk test of normality, Levene’s test, ANOVA test, and factor analysis technique were used to analyze the collected data. Findings – Frequency of waste occurrence in construction projects is quite high. There was no statistically and practically significant difference in means for waste occurrence between selected population categories. Based on factor analysis technique, there were five principal components extracted with 56.7 percent of total variance. The WOLI in the construction industry was found as 61.55 per the scale of 100. Research limitations/implications – The non-probability sampling was applied to collect data because of several certain limitations and difficulties. The number of data sets is relatively small. This study has only examined the frequency of waste occurrence without quantitative information. Practical implications – This is another study of waste factors in the construction industry, which is different from traditional waste studies. Originality/value – The contribution of this study to the practical project management is that a proposed evaluation sheet for WOLI could be applied for any construction firm.

scholarly journals Study of Psychological factors Affected to intention of student to Entrepreneurship (Case study Agriculture and Natural Resources Students Campus at Razi University in Kermanshah Province)

2015 ◽  
Vol 9 (1) ◽  
pp. 12-16
Author(s):  
N. Afsharzadeh ◽  
A. H. Papzan ◽  
F. Rostami ◽  
F. Ghorbani Piralidehi ◽  
A. Pirmoradi
Keyword(s):  
Factor Analysis ◽  
Natural Resources ◽  
Internal Control ◽  
Psychological Factors ◽  
Simple Random Sampling ◽  
Entrepreneurial Intention ◽  
Psychological Characteristics ◽  
Main Research ◽  
Analysis Technique

The main purpose of this research was to examine the influence of psychological characteristics on entrepreneurial intention of agriculture and natural resources students at Razi University in Kermanshah Province. A total of students (N= 258), with and without entrepreneurial education were selected on the basis of simple random sampling (n= 146). The main research tool was a questionnaire. 32 items of psychological characteristics in the form of a questionnaire was developed by the researchers to gather the required data. Factor analysis technique was used to analysis the data.  Factor analysis showed that six psychological factors affected on entrepreneurial intention of agriculture and natural resources students including; need to progress, self-efficacy, internal control, risk taking, creativity and the need for the independence. Researchers encouraged educators to promote and develop these psychological characteristics affected on entrepreneurial intention through creating entrepreneurial context such as by supervising agricultural experience programmers, experiential learning and participatory teaching. Furthermore, it was pointed out that entrepreneurial intention could be improved by self directed learning.DOI: http://dx.doi.org/10.3126/ijls.v9i1.11920 International Journal of Life Sciences Vol.9(1) 2015 12-16

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