Methodological Synthesis in Quantitative L2 Research: A Review of Reviews and a Case Study of Exploratory Factor Analysis

2015 ◽  
Vol 65 (S1) ◽  
pp. 9-36 ◽  
Author(s):  
Luke Plonsky ◽  
Talip Gonulal
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Review Of Reviews

scholarly journals ROLE OF NGO IN FILLING THE GAP OF GOVERNMENT (A Case Study of Indus Resource Centre khairpur, Sindh Pakistan)

2014 ◽  
Vol 13 (5) ◽  
pp. 4482-4487
Author(s):  
Muhammad SalehMemon ◽  
Nasreen AnisGoraya ◽  
Bushra Fatima Ansari
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Disaster Management ◽  
Sustainable Livelihood ◽  
Human Right ◽  
Rural People ◽  
Government Organization ◽  
Analysis Technique

Role of non- government organization in filling the gap of government was studied through a study conducted on Indus Resource Centre. Government gap is created when some areas are being deprived of Government efforts. The objectives of research were firstly; to analyze the role of IRC in filling the gap of Government and to find out at what extend IRC is effective in fulfilling the needs of rural people. Data was taken from the majority of beneficiaries of the IRC and it was analyzed through the exploratory factor analysis technique with the help of SPSS 16.The overall analysis of study reveals that IRC plays very important role in filling the gap and it is very effective in fulfilling the needs of rural people by providing education facilities, human right awareness, sustainable livelihood, health and disaster management.

scholarly journals Designing a Model for Testing the Effectiveness of a Regulation: The Case of DORA for Insurance Undertakings

Risks ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 206
Author(s):  
Simon Grima ◽  
Pierpaolo Marano
Keyword(s):  
Factor Analysis ◽  
Literature Review ◽  
European Commission ◽  
Exploratory Factor Analysis ◽  
Thematic Analysis ◽  
Growth And Development ◽  
Reliability And Validity ◽  
The Other ◽  
Analysis And Design

Technology is sometimes seen as a disruption that although provides opportunities for growth and development, also provides opportunities for deception, theft, and fraud. On the other hand, automation can make it easier to identify and protect from threats. Hence, a proposal was made by the European Commission to enact a digital operations resilience act. Therefore, our objective in this paper is to lay out the perceived characteristics of effective regulation by using DORA as our case study. We do this by carrying out a literature review and extracting using the thematic analysis approach propositions for these characteristics. Then, we test these using exploratory factor analysis and design a model for perceived effective regulation (PERM). We test the reliability and validity of this model by using the Cronbach alpha. Results show that according to our model, an effective regulation should have four characteristics, specifically “Flexibility and Integration”, “Proportionality and Cost”, “Reliability and Transparency”, and “Relevance and Timeliness”. Findings laid out in this paper and PERM can be used to test other proposed regulations to ensure that they are effective before being enacted and also to determine when there is a need for a revamp in specified areas of current regulations and requirements.

scholarly journals Buyer Supplier Relationship Analysis (A Case Study of C.V. CS)

2015 ◽  
Vol 7 (4) ◽  
pp. 233 ◽  
Author(s):  
Haryanto Wiguna Kurnia ◽  
Denny Bernardus Kurnia Wahjudono
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Quantitative Method ◽  
Sampling Technique ◽  
Strategic Partnership ◽  
Relationship Analysis ◽  
Relationship Continuity ◽  
As Relationship ◽  
The Relationship

<p>The purpose of this research is to discover the factors that shape the relationship between C.V. CS as buyer and the suppliers in order to determine the most appropriate strategy to manage the relationship. This research uses quantitative method and exploratory factor analysis approach. The population of this research consists of 30 suppliers of C.V. CS. Saturated sampling is used as sampling technique in this study. Additionally, the entire population is used as respondents. Research results suggest a new factor which can be considered as a simplified version of the six research variables of communication, trust, capacity and capability, relationship continuity, dependence and commitment. This factor is called strategic partnership. Strategic partnership is considered as the most suitable strategy for C.V. CS to establish a relationship with their suppliers. The findings of this research also indicate that strategic partnership can act as relationship builder between buyers and suppliers. In order to create a perfect strategic partnership, the five forming elements must be fulfilled.</p>

Measuring Impact of Stress in Sandwich Generation Caring for Demented Parents

GeroPsych ◽  
2014 ◽  
Vol 27 (4) ◽  
pp. 171-179 ◽  
Author(s):  
Laurence M. Solberg ◽  
Lauren B. Solberg ◽  
Emily N. Peterson
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Social Worker ◽  
Resource Availability ◽  
Well Being ◽  
Sandwich Generation ◽  
Item Questionnaire ◽  
Significant Difference ◽  
Adult Caregivers ◽  
The Impact

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.

The Hierarchical Model of Exercise Dependence

2015 ◽  
Vol 36 (4) ◽  
pp. 247-257 ◽  
Author(s):  
Gayatri Kotbagi ◽  
Laurence Kern ◽  
Lucia Romo ◽  
Ramesh Pathare
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Physical Exercise ◽  
Exploratory Factor Analysis ◽  
Convergent Validity ◽  
Large Population ◽  
Assessment Tools ◽  
Negative Consequences ◽  
Confirmatory Factor ◽  
Preliminary Version

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.

Subclinical Sadism and the Dark Triad

2019 ◽  
Vol 40 (3) ◽  
pp. 127-133 ◽  
Author(s):  
Laura K. Johnson ◽  
Rachel A. Plouffe ◽  
Donald H. Saklofske
Keyword(s):  
Factor Analysis ◽  
University Students ◽  
Personality Traits ◽  
Exploratory Factor Analysis ◽  
Convergent Validity ◽  
Dark Triad ◽  
Antisocial Personality ◽  
Factor Solution ◽  
Online Study ◽  
Antisocial Personality Traits

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.

Equivalent Factorial Structure of the Brief Symptom Inventory (BSI) in Clinical and Nonclinical Jordanian Populations

2010 ◽  
Vol 26 (2) ◽  
pp. 116-121 ◽  
Author(s):  
Fawzi S. Daoud ◽  
Amjed A. Abojedi
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Clinical Sample ◽  
Brief Symptom Inventory ◽  
Factorial Structure ◽  
Symptom Inventory ◽  
Confirmatory Factor ◽  
Item Checklist ◽  
General Psychological Distress

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.

A Comparison of Simple Structure Rotation Criteria in Temporal Exploratory Factor Analysis for Event-Related Potential Data

Methodology ◽  
2019 ◽  
Vol 15 (Supplement 1) ◽  
pp. 43-60 ◽  
Author(s):  
Florian Scharf ◽  
Steffen Nestler
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Simple Structure ◽  
Ground Truth ◽  
Event Related Potential ◽  
Suitable Alternative ◽  
Factor Rotation ◽  
Rotation Methods ◽  
Simple Structure Rotation ◽  
Temporal Overlap

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.

Sign in / Sign up

Export Citation Format

Share Document