Cross-organism toxicogenomics with group factor analysis

2014 ◽  
Vol 2 (4) ◽  
pp. 71-80 ◽  
Author(s):  
Tommi Suvitaival ◽  
Juuso A Parkkinen ◽  
Seppo Virtanen ◽  
Samuel Kaski
Keyword(s):  
Factor Analysis ◽  
Group Factor

Development and Validation of the Economic Coercion Scale 36 (ECS-36) in Rural Bangladesh

2021 ◽  
pp. 088626052098781
Author(s):  
Kathryn M. Yount ◽  
Yuk Fai Cheong ◽  
Stephanie Miedema ◽  
Ruchira T. Naved
Keyword(s):  
Factor Analysis ◽  
Partner Violence ◽  
Short Form ◽  
Latent Trait ◽  
Married Women ◽  
Primary Data ◽  
Group Factor ◽  
Rural Bangladesh ◽  
Multiple Group ◽  
Economic Coercion

Assessing progress toward Sustainable Development Goal (SDG) 5, to achieve gender equality and to empower women, requires monitoring trends in intimate partner violence (IPV). Current measures of IPV may miss women’s experiences of economic coercion, or interference with the acquisition, use, and maintenance of financial resources. This sequential, mixed-methods study developed and validated a scale for economic coercion in married women in rural Bangladesh, where women’s expanding economic opportunities may elevate the risks of economic coercion and other IPV. Forty items capturing lifetime and prior-year economic coercion were adapted from formative qualitative research and prior scales and administered to a probability sample of 930 married women 16–49 years. An economic coercion scale (ECS) was validated using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) with primary data from random-split samples ( N1 = 310; N2 = 620). Item response theory (IRT) methods gauged the measurement precision of items and scales over the range of the economic-coercion latent trait. Multiple-group factor analysis assessed measurement invariance of the economic-coercion construct. Two-thirds (62.26%) of women reported any lifetime economic coercion. EFA suggested a 36-item, two-factor model capturing barriers to acquire and to use or maintain economic resources. CFA, multiple group factor analysis, and multidimensional IRT methods confirmed that this model provided a reasonable fit to the data. IRT analysis showed that each dimension provided most precision over the higher range of the economic coercion trait. The Economic Coercion Scale 36 (ECS-36) should be validated elsewhere and over time. It may be added to violence-specific surveys and evaluations of violence-prevention and economic-empowerment programs that have a primary interest measuring economic coercion. Short-form versions of the ECS may be developed for multipurpose surveys and program monitoring.

scholarly journals The Effect of Nepotism on Organizational Silence, Alienation and Commitment: A Study on Hotel Employees in Turkey

2015 ◽  
Vol 7 (4) ◽  
pp. 82 ◽  
Author(s):  
Elbeyi Pelit ◽  
Füsun İstanbullu Dinçer ◽  
İbrahim Kılıç
Keyword(s):  
Factor Analysis ◽  
Regression Analysis ◽  
Standard Deviation ◽  
Positive Relationship ◽  
Negative Relationship ◽  
Group Factor ◽  
Correlation And Regression Analysis ◽  
Hotel Employees ◽  
Organizational Silence ◽  
Study Results

<p>The aim of this study is to determine the effect of nepotism on organizational silence, alienation and commitment. As a data collecting method a questionnaire which contains nepotism, organizational silence, alienation and commitment scales was used. It was applied on 662 employees working in 30 five star hotels in Turkey. Since nepotism covers the practices in establishments in which family-relative relations are concentrated, the hotels included in the sampling group have been selected from establishments whose proprietors are a part of a family/family group. Factor analysis, Cronbach’s Alpha, mean, standard deviation, correlation and regression analysis were used to analyze the acquired data. The study results revealed that nepotism has a positive relationship with organizational silence and alienation and a negative relationship with organizational commitment. </p>

Multiple Group Factor Analysis

1983 ◽  
Vol 37 (4) ◽  
pp. 326 ◽  
Author(s):  
Stephan Arndt
Keyword(s):  
Factor Analysis ◽  
Group Factor ◽  
Multiple Group

Group Factor Analysis

2015 ◽  
Vol 26 (9) ◽  
pp. 2136-2147 ◽  
Author(s):  
Arto Klami ◽  
Seppo Virtanen ◽  
Eemeli Leppaaho ◽  
Samuel Kaski
Keyword(s):  
Factor Analysis ◽  
Group Factor

scholarly journals FACTORIAL INVARIANCE OF THE GENERIC JOB SATISFACTION SCALE IN ARGENTINA AND BRAZIL

2020 ◽  
Vol 38 (2) ◽  
Author(s):  
Solana Salessi ◽  
Alexsandro Luiz De Andrade ◽  
Alicia Omar
Keyword(s):  
Job Satisfaction ◽  
Factor Analysis ◽  
Cross Sectional Study ◽  
Factorial Invariance ◽  
Group Factor ◽  
Sectional Study ◽  
Satisfaction Scale ◽  
Cross Sectional ◽  
Residual Variances ◽  
Probabilistic Sample

The aim of the present study was to analyse the factorial invariance of the Mac Donald and Mac Intyre´s Generic Job Satisfaction Scale in Argentina and Brazil. An instrumental cross-sectional study on a non-probabilistic sample of workers (nArgentina = 663, nBrazil = 672) was developed. The data were analysed through a multi-group factor analysis using a progressive evaluation strategy. The results indicate that the scale is invariant configural (SBχ2/gl = 2.06, GFI = .96, CFI = .97, RMSEA = .03), metric (ΔGFI = .009, ΔCFI = .008, ΔRMSEA = .006) and scalarly (ΔGFI = .007, ΔCFI = .009, ΔRMSEA = .004); whereas, partially invariant at a strict level, after releasing the restrictions on the residual variances of three items. In turn, the comparison of latent and observed means shows that Brazilian participants are more satisfied with their jobs (MBrazil = 3.86, SDBrazil = .91, MArgentina = 3.52, SDArgentina = .90, t = 8.54, p < .000; CR = 11.062, p <.000), although it is small effects (d = .37; r = .18). The results obtained indicate that the scale is adjusted to the model of strict factorial invariance, except for three of its items that only reach strong invariance.

Factor Comparability And The Advantages Of Multiple Group Factor Analysis

1980 ◽  
Vol 15 (2) ◽  
pp. 165-180 ◽  
Author(s):  
James E. Everett ◽  
Leland V. Entrekin
Keyword(s):  
Factor Analysis ◽  
Group Factor ◽  
Multiple Group

Cultural, Motivational and Temporal Problems with the 16 P.F. Test

1979 ◽  
Vol 9 (3-4) ◽  
pp. 84-91 ◽  
Author(s):  
Ngaire V. Adcock ◽  
C.J. Adcock
Keyword(s):  
Factor Analysis ◽  
New Zealand ◽  
Face Validity ◽  
Group Factor ◽  
Temporal Differences ◽  
Correlational Matrix

In view of the queries raised about the validity of the 16 P.F. factors when applied to a large New Zealand sample (vide Adcock & Adcock 1977), it was decided to make a study of individual items which did not seem to be satisfactory in the light of three criteria: inadequate loadings on any of the factors found in the analysis; gross failure to yield any indication of face validity; and failure to gain appreciable loading on group factors as defined by group factor analysis of the correlational matrix sectioned in accord with the scoring material. Consideration of these items indicates that many are greatly affected by cultural and temporal differences and by test climate.

Multiple-group factor analysis of the Wechsler Intelligence Scale for Children

1976 ◽  
Vol 32 (4) ◽  
pp. 829-831 ◽  
Author(s):  
Nerella V. Ramanaiah ◽  
James P. O'Donnell ◽  
Fred Ribich
Keyword(s):  
Factor Analysis ◽  
Group Factor ◽  
Intelligence Scale ◽  
Multiple Group
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