scholarly journals Is that Environmental Factor Affected the Distressed Farmers’ most!? - An Exploratory Factor Analysis of Constraint and Amelioration Strategies in National Calamity Hit Region of India

2016 ◽  
Vol 11 (3) ◽  
pp. 859-868 ◽  
Author(s):  
Sudhanand Lal ◽  
K.S. Kadian ◽  
Workneh Wodajo ◽  
Shruti Shruti

The Kosi River is infamous in India for its rapid and recurrent changes of course and the widespread flood damages it causes almost annually. But, the flood of 18th August, 2008 was the most devastating down the memory lane of the survival. The destruction was of such a magnitude that state government of Bihar had to seek World Bank (Project ID: P122096) assistance. Keeping this in view, an earnest effort was made to study the perceived constraints of distressed farmers and strategies for its amelioration. To materialize pretested closed structured interview schedule the application of the principle axis factoring vis-à-vis exploratory factor analysis (EFA) was done among 60 respondents from the non-sample. EFA extracted 4 latent broad constraints having Eigen value >1 that was rechristened as: environmental, pecuniary, policy and miscellaneous constraints. Finally, 20 specific constraints under 4 broad constraints were used to collect data from 160 respondents in the sample area. Garret methodology was used to rank the specific constraints under broad constraints. Friedman two-way ANOVA by ranks test deciphered that severity order of broad constraints was environmental, pecuniary, miscellaneous and policy constraints respectively. Since, the World Bank project is running in full swing in the calamity stricken region and so the four broad constraints as well as the 20 specific constraints identified and suggestion to ameliorate these can be vital for policy formulation and its implementation. The authors also suggest that in case of dearth of fund the most severe environmental constraints should be given due weightage followed by severity of other broad constraints.

2017 ◽  
Vol 13 (2) ◽  
Author(s):  
Aylinna Ongsano ◽  
Michael Ricky Sondak

<p>Sophistication of technology is now increasingly, people becomes easier to access any information just by using internet. This evolution is called globalization. Now globalization makes Indonesian people tend to likes instant and practical things. Internet users in Indonesia is now increasing and most are social media active users. This makes Indonesia have a good prospects to do online business. The purpose of this study is to find out the factors that influence consumer’s decision for purchase online food and to determine the most dominant factor in consumer’s decision for purchasing online food. Population in this research is all Indonesia people who already experienced online transaction. Meanwhile, sample of this research is 73 consumers who have already purchased online food. Moreover, the technique of data collection in this study is through questionnaires distribution method and the questionnaires is using Likert scale instrument. Furthermore, the researcher process the data using SPSS with Exploratory Factor Analysis to obtain significant conclusions based on these research. Based on the hypothesis that has been calculated using the SPSS, the results are there are five factors that influence consumer’s decision for purchasing food through social media and the most dominant factor is life style, because it has the most high eigen value.<br />Keywords: Globalization, Social Media, Online Business, Exploratory Factor Analysis</p>


GeroPsych ◽  
2014 ◽  
Vol 27 (4) ◽  
pp. 171-179 ◽  
Author(s):  
Laurence M. Solberg ◽  
Lauren B. Solberg ◽  
Emily N. Peterson

Stress in caregivers may affect the healthcare recipients receive. We examined the impact of stress experienced by 45 adult caregivers of their elderly demented parents. The participants completed a 32-item questionnaire about the impact of experienced stress. The questionnaire also asked about interventions that might help to reduce the impact of stress. After exploratory factor analysis, we reduced the 32-item questionnaire to 13 items. Results indicated that caregivers experienced stress, anxiety, and sadness. Also, emotional, but not financial or professional, well-being was significantly impacted. There was no significant difference between the impact of caregiver stress on members from the sandwich generation and those from the nonsandwich generation. Meeting with a social worker for resource availability was identified most frequently as a potentially helpful intervention for coping with the impact of stress.


2015 ◽  
Vol 36 (4) ◽  
pp. 247-257 ◽  
Author(s):  
Gayatri Kotbagi ◽  
Laurence Kern ◽  
Lucia Romo ◽  
Ramesh Pathare

Abstract. Physical exercise when done excessively may have negative consequences on physical and psychological wellbeing. There exist many scales to measure this phenomenon. The purpose of this article is to create a scale measuring the problematic practice of physical exercise (PPPE Scale) by combining two assessment tools already existing in the field of exercise dependency but anchored in different approaches (EDS-R and EDQ). This research consists of three studies carried out on three independent sample populations. The first study (N = 341) tested the construct validity (exploratory factor analysis); the second study (N = 195) tested the structural validity (confirmatory factor analysis) and the third study (N = 104) tested the convergent validity (correlations) of the preliminary version of the PPPE scale. Exploratory factor analysis identified six distinct dimensions associated with exercise dependency. Furthermore, confirmatory factor analysis validated a second order model consisting of 25 items with six dimensions and four sub-dimensions. The convergent validity of this scale with other constructs (GLTEQ, EAT26, and The Big Five Inventory [BFI]) is satisfactory. The preliminary version of the PPPE must be administered to a large population to refine its psychometric properties and develop scoring norms.


2019 ◽  
Vol 40 (3) ◽  
pp. 127-133 ◽  
Author(s):  
Laura K. Johnson ◽  
Rachel A. Plouffe ◽  
Donald H. Saklofske

Abstract. The Dark Triad is a constellation of three antisocial personality traits: Machiavellianism, narcissism, and psychopathy. Recently, researchers have introduced a “Dark Tetrad” that includes subclinical sadism, although others suggest considerable overlap between psychopathy and sadism. To clarify the position of sadism within the Dark Triad, an online study was conducted with 615 university students. Exploratory factor analysis revealed that a six-factor solution fit the data best, representing Machiavellianism, psychopathy, physical sadism, verbal sadism, narcissism, and vicarious sadism. Furthermore, convergent validity was supported through sadism’s correlations with the HEXACO personality traits. The results support sadism’s inclusion within the Dark Tetrad as a unique construct but with some conceptual overlap with psychopathy.


2010 ◽  
Vol 26 (2) ◽  
pp. 116-121 ◽  
Author(s):  
Fawzi S. Daoud ◽  
Amjed A. Abojedi

This study investigates the equivalent factorial structure of the Brief Symptom Inventory (BSI) in clinical and nonclinical Jordanian populations, using both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The 53-item checklist was administered to 647 nonclinical participants and 315 clinical participants. Eight factors emerged from the exploratory factor analysis (EFA) for the nonclinical sample, and six factors emerged for the clinical sample. When tested by parallel analysis (PA) and confirmatory factor analysis (CFA), the results reflected a unidimensional factorial structure in both samples. Furthermore, multigroup CFA showed invariance between clinical and nonclinical unidimensional models, which lends further support to the evidence of the unidimensionality of the BSI. The study suggests that the BSI is a potentially useful measure of general psychological distress in clinical and nonclinical population. Ideas for further research are recommended.


Methodology ◽  
2019 ◽  
Vol 15 (Supplement 1) ◽  
pp. 43-60 ◽  
Author(s):  
Florian Scharf ◽  
Steffen Nestler

Abstract. It is challenging to apply exploratory factor analysis (EFA) to event-related potential (ERP) data because such data are characterized by substantial temporal overlap (i.e., large cross-loadings) between the factors, and, because researchers are typically interested in the results of subsequent analyses (e.g., experimental condition effects on the level of the factor scores). In this context, relatively small deviations in the estimated factor solution from the unknown ground truth may result in substantially biased estimates of condition effects (rotation bias). Thus, in order to apply EFA to ERP data researchers need rotation methods that are able to both recover perfect simple structure where it exists and to tolerate substantial cross-loadings between the factors where appropriate. We had two aims in the present paper. First, to extend previous research, we wanted to better understand the behavior of the rotation bias for typical ERP data. To this end, we compared the performance of a variety of factor rotation methods under conditions of varying amounts of temporal overlap between the factors. Second, we wanted to investigate whether the recently proposed component loss rotation is better able to decrease the bias than traditional simple structure rotation. The results showed that no single rotation method was generally superior across all conditions. Component loss rotation showed the best all-round performance across the investigated conditions. We conclude that Component loss rotation is a suitable alternative to simple structure rotation. We discuss this result in the light of recently proposed sparse factor analysis approaches.


2009 ◽  
Author(s):  
Sungeun You You ◽  
Nida Corry ◽  
Nathaniel Deyoung ◽  
Rebecca Davis Merritt

2009 ◽  
Author(s):  
Baron K. Rogers ◽  
Bridgette C. Avery ◽  
Ronald F. Levant

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