Factor Structure of the New Environmental Paradigm Scale: Evidence from an Urban Sample in Southern California

2004 ◽  
Vol 94 (1) ◽  
pp. 125-130 ◽  
Author(s):  
Chang-Ho C. Ji
Keyword(s):  
Factor Structure ◽  
Southern California ◽  
Factor Model ◽  
Factor Models ◽  
Two Factors ◽  
Urban Sample ◽  
Original Scale ◽  
The One ◽  
Three Factor ◽  
New Environmental Paradigm

This study examined the factor structure of the New Environmental Paradigm Scale using responses from 261 urban subjects from southern California. The analysis yielded findings inconsistent with many previous studies of the original scale. This study supported an 8-item two-factor model of the scale rather than the one-factor and three-factor models proposed earlier. A subsequent validation study provides evidence for this short form's validity, as the two factors were predictive of commitment to preservation of nature.

scholarly journals Examining the Factor Structure of the Pittsburgh Sleep Quality Index in a Multi-Ethnic Working Population in Singapore

2019 ◽  
Vol 16 (23) ◽  
pp. 4590
Author(s):  
Dunleavy ◽  
Bajpai ◽  
Tonon ◽  
Chua ◽  
Cheung ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Sleep Quality ◽  
Factor Structure ◽  
Quality Index ◽  
Goodness Of Fit ◽  
Pittsburgh Sleep Quality Index ◽  
Factor Model ◽  
Factor Models ◽  
Working Population ◽  
Three Factor

The Pittsburgh Sleep Quality Index (PSQI) is a widely used measure for assessing sleep impairment. Although it was developed as a unidimensional instrument, there is much debate that it contains multidimensional latent constructs. This study aims to investigate the dimensionality of the underlying factor structure of the PSQI in a multi-ethnic working population in Singapore. The PSQI was administered on three occasions (baseline, 3 months and 12 months) to full-time employees participating in a workplace cohort study. Exploratory factor analysis (EFA) investigated the latent factor structure of the scale at each timepoint. Confirmatory factor analysis (CFA) evaluated the model identified by EFA, and additionally evaluated it against a single factor and a three-factor model. The EFA identified a two-factor model with similar internal consistency and goodness-of-fit across each timepoint. In the CFA, the two- and three-factor models were both superior to the unidimensional model. The two- and three-factor models of the PSQI were reliable, consistent and provided similar goodness-of-fit over time, and both models were superior to the unidimensional measure. We recommend using the two-factor model to assess sleep characteristics in working populations in Singapore, given that it performs as well as the three-factor model and is simpler compared to the latter.

Factor Structure of the Memory for Intentions Test (MIsT) in Samples of Older Adults and People with HIV Disease

2021 ◽  
Author(s):  
Kelli Sullivan ◽  
Matthew Gallagher ◽  
Romola S. Bucks ◽  
Michael Weinborn ◽  
Steven Paul Woods
Keyword(s):  
Older Adults ◽  
Factor Structure ◽  
Prospective Memory ◽  
Factor Model ◽  
Factor Models ◽  
Community Dwelling ◽  
People Living With Hiv ◽  
Hiv Disease ◽  
Memory For Intentions ◽  
The One

Objective: The Memory for Intentions Test (MIsT) is a clinical measure of prospective memory that has strong evidence for convergent, discriminative, and ecological validity. This study evaluates the latent structure of the MIsT among two samples who may experience prospective memory deficits: older adults and people living with HIV disease. Participants and Methods: Study participants included 303 people with HIV disease (ages 18-67) and 267 community-dwelling older adults (ages 50-91). Confirmatory factor analyses of the MIsT were conducted separately in each sample. We evaluated a one-factor model, as well as three two-factor models with the MIsT items loading onto each factor based on cue type, delay interval, or response modality, respectively. Results: The one-factor model provided the best (and most parsimonious) fit to the data in both study samples. All two-factor models also demonstrated good fit statistics, although correlations between the two factors in each model were high and none of the two-factor models provided a significantly better fit than the one-factor model. Conclusions: Results provide support for the factor structure of the MIsT in older adults and people with HIV disease. A total score for the MIsT provides the most parsimonious solution, although available evidence and theory also support the use of subscales (e.g., cue type). Future studies of the MIsT would be useful to determine its psychometrics in different clinical populations.

scholarly journals Longitudinal associations between depressive and anxiety disorders: a comparison of two trait models

2007 ◽  
Vol 38 (3) ◽  
pp. 353-363 ◽  
Author(s):  
Thomas M. Olino ◽  
Daniel N. Klein ◽  
Peter M. Lewinsohn ◽  
Paul Rohde ◽  
John R. Seeley
Keyword(s):  
Anxiety Disorders ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Factor Model ◽  
Latent Trait ◽  
Factor Models ◽  
Specific Factors ◽  
The One ◽  
The Relationship ◽  
Three Factor

BackgroundDepression and anxiety are highly co-morbid disorders. Two latent trait models have been proposed to explain the nature of the relationship between these disorders. The first posits that depressive and anxiety disorders are both manifestations of a single internalizing factor. The second model, based on a tripartite model proposed by Clark & Watson [Journal of Abnormal Psychology (1991) 100, 316–336], proposes that depressive and anxiety disorders reflect a combination of shared and disorder-specific factors.MethodWe directly compared the two models in a sample of 891 individuals from the Oregon Adolescent Depression Project who participated in up to four diagnostic assessments over approximately 15 years. Structural equation models were used to examine the relationship between depressive and anxiety disorders across different developmental periods (<14, 14–18, 19–23, 24–30 years of age).ResultsThe one- and three-factor models were hierarchically related. Thus, a direct comparison between the one- and three-factor models was possible using a χ2 difference test. The result found that the three-factor model fit the data better than the one-factor model.ConclusionsThe three-factor model, positing that depressive and anxiety disorders were caused by a combination of shared and disorder-specific factors, provided a significantly better fit to the data than the one-factor model postulating that a single factor influences the development of both depressive and anxiety disorders.

Factor Structure of the Hellenic WISC-III for Children with Learning Disabilities

2018 ◽  
Vol 9 (03) ◽  
pp. 20445-20451
Author(s):  
Adam A ◽  
Kiosseoglou G ◽  
Abatzoglou G ◽  
Papaligoura Z.
Keyword(s):  
Learning Disabilities ◽  
Factor Structure ◽  
Factor Model ◽  
The Other ◽  
Clinical Value ◽  
Reasoning Abilities ◽  
Picture Arrangement ◽  
Factorial Model ◽  
Verbal Subtest ◽  
Two Factors

The present research aims to examine the factor structure of the Hellenic WISC-III in a sample of 50 children with learning disabilities. The results show the existence of a factorial model with two factors, one aggregating the Comprehension verbal subtest with four performance subtests and the other the Picture Arrangement performance subtest with four verbal subtests. This two-factor model includes loadings in two factors that relate to the sequencing abilities and the verbal reasoning abilities of children. These findings assert the clinical value of the intelligence evaluation in these children.

scholarly journals Choosing Factors for the Vietnamese Stock Market

2021 ◽  
Vol 14 (3) ◽  
pp. 96
Author(s):  
Nina Ryan ◽  
Xinfeng Ruan ◽  
Jin E. Zhang ◽  
Jing A. Zhang
Keyword(s):  
Stock Returns ◽  
Factor Model ◽  
Five Factor Model ◽  
Explanatory Power ◽  
Factor Models ◽  
Marginal Contribution ◽  
Return On Equity ◽  
Factor Modeling ◽  
Three Factor ◽  
Better Than

In this paper, we test the applicability of different Fama–French (FF) factor models in Vietnam, we investigate the value factor redundancy and examine the choice of the profitability factor. Our empirical evidence shows that the FF five-factor model has more explanatory power than the FF three-factor model. The value factor remains important after the inclusion of profitability and investment factors. Operating profitability performs better than cash and return-on-equity (ROE) profitability as a proxy for the profitability factor in FF factor modeling. The value factor and operating profitability have the biggest marginal contribution to a maximum squared Sharpe ratio for the five-factor model factors, highlighting the value factor (HML) non-redundancy in describing stock returns in Vietnam.

THE LEVENSON LOCUS OF CONTROL SCALES: CONFIRMATORY FACTOR ANALYSES AND EVALUATION

1997 ◽  
Vol 25 (1) ◽  
pp. 93-103 ◽  
Author(s):  
Paul K. Presson ◽  
Steven C. Clark ◽  
Victor A. Benassi
Keyword(s):  
Locus Of Control ◽  
Factor Structure ◽  
Depressive Symptomatology ◽  
Predictive Ability ◽  
Factor Models ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Three Factor

Confirmatory factor analyses were conducted to test the factor structure of several versions of Levenson's (1973) locus of control scales. Two- and three-factor models based on all 24 of Levenson's items and on 20 of her items were tested. The 3-factor models provided a good fit. Models proposed by R. M. Shewchuk, G. A. Foelker Jr., and G. Niederehe (1990) and R. M. Shewchuk, G. A Foelker Jr., C. J. Camp, and F. Blanchard-Fields (1992) also provided a good fit of the data. In concurrent and prospective tests of the predictive ability of the various models, the 24 and 20 item versions of Levenson's models accounted for a significant amount of variance In depressive symptomatology. The three-factor models revealed that only scores on the chance scale reliably predicted time 2 depressive symptomatology. Neither of the models proposed by Shewchuk and colleagues accounted for a significant amount of variance.

Three-Factor Structure of Adult Attachment in the Workplace: Comparison of British, French, and Italian Samples

2014 ◽  
Vol 115 (2) ◽  
pp. 627-642 ◽  
Author(s):  
Fabrizio Scrima ◽  
Liliane Rioux ◽  
Lucrezia Lorito
Keyword(s):  
Great Britain ◽  
Organizational Commitment ◽  
Construct Validity ◽  
Factor Structure ◽  
Adult Attachment ◽  
Attachment Styles ◽  
Affective Commitment ◽  
Factor Model ◽  
Confirmatory Factor ◽  
Three Factor

The goal was to compare three-factor and two-factor solutions and construct validity of the Adult Attachment in the Workplace (AAW) questionnaire. Participants were 660 volunteers from three countries (France, Italy, and Great Britain). The two-factor model of Neustadt, Chamorro-Premuzic, & Furnham (2006) and the three-factor theoretical model of Collins and Read (1990) were compared. Construct validity was assessed by calculating correlations among the two- and three-factor AAW, the Workplace Attachment Scale, and the Organizational Commitment Scale. The three-factor structure differentiated between the three attachment styles, i.e., secure, preoccupied, and avoidant. There were moderate, significant correlations between AAW, workplace attachment, and affective commitment. Confirmatory factor analysis indicated that the three-factor structure fit the data better. Furthermore, the AAW, the Workplace Attachment Scale, and the Organizational Commitment Scale can be considered independent. In line with previous empirical evidence, a further distinction is noted between avoidant and preoccupied styles in the workplace.

scholarly journals Longitudinal Validation of the Levenson Self-Report Psychopathy (LSRP) Scale in a High-Risk Dutch Community Sample

Assessment ◽  
2020 ◽  
pp. 107319112097513
Author(s):  
Sophie A. Wissenburg ◽  
Carlo Garofalo ◽  
Arjan A. J. Blokland ◽  
H. Palmen ◽  
Martin Sellbom
Keyword(s):  
Construct Validity ◽  
Factor Structure ◽  
Factor Model ◽  
Psychopathic Traits ◽  
Self Report ◽  
Longitudinal Measurement Invariance ◽  
Time Points ◽  
Longitudinal Measurement ◽  
Three Factor ◽  
Over Time

The Levenson Self-Report Psychopathy (LSRP) scale is a self-report measure that can be used to assess psychopathic traits in community samples, and recent research suggested that its three-factor model (Egocentricity, Callousness, and Antisocial) has promising psychometric properties. However, no study to date has validated the LSRP in a longitudinal framework. The present study sought to validate the LSRP scale in a longitudinal design using a sample of Dutch emerging adults ( ns = 970 and 693 at time points 1 and 2, respectively). We assessed longitudinal measurement invariance and the stability of psychopathic traits over an 18-month time period, from age 20 to age 21.6. Furthermore, we replicated and extended findings on the factor structure, reliability, and construct validity of the Dutch LSRP scale. Confirmatory factor analysis revealed that the three-factor model fit the data well. Evidence of partial longitudinal measurement invariance was observed, which means that the Dutch translation of the LSRP scale is measuring an equivalent construct (and overall latent factor structure) over time. Psychopathic traits were relatively stable over time. The three LSRP subscales showed largely acceptable levels of internal consistency at both time points and showed conceptually expected patterns of construct validity and predictive validity, with a few notable exceptions.

Assessing Cognitive and Affective Empathy Through the Interpersonal Reactivity Index

Assessment ◽  
2016 ◽  
Vol 23 (6) ◽  
pp. 769-777 ◽  
Author(s):  
Evangelia G. Chrysikou ◽  
W. Jake Thompson
Keyword(s):  
Factor Structure ◽  
Factor Model ◽  
Model Fit ◽  
Reactivity Index ◽  
Complex Nature ◽  
Affective Empathy ◽  
Interpersonal Reactivity Index ◽  
Confirmatory Factor ◽  
Two Factors ◽  
First Time

One aspect of higher order social cognition is empathy, a psychological construct comprising a cognitive (recognizing emotions) and an affective (responding to emotions) component. The complex nature of empathy complicates the accurate measurement of these components. The most widely used measure of empathy is the Interpersonal Reactivity Index (IRI). However, the factor structure of the IRI as it is predominantly used in the psychological literature differs from Davis’s original four-factor model in that it arbitrarily combines the subscales to form two factors: cognitive and affective empathy. This two-factor model of the IRI, although popular, has yet to be examined for psychometric support. In the current study, we examine, for the first time, the validity of this alternative model. A confirmatory factor analysis showed poor model fit for this two-factor structure. Additional analyses offered support for the original four-factor model, as well as a hierarchical model for the scale. In line with previous findings, females scored higher on the IRI than males. Our findings indicate that the IRI, as it is currently used in the literature, does not accurately measure cognitive and affective empathy and highlight the advantages of using the original four-factor structure of the scale for empathy assessments.

scholarly journals Peplau’s Theory of Interpersonal Relations

2017 ◽  
Vol 30 (2) ◽  
pp. 160-167 ◽  
Author(s):  
Thomas A. Hagerty ◽  
William Samuels ◽  
Andrea Norcini-Pala ◽  
Eileen Gigliotti
Keyword(s):  
Factor Structure ◽  
Interpersonal Relations ◽  
Factor Model ◽  
Healthcare Providers ◽  
Model Fit ◽  
Middle Range ◽  
Confirmatory Factor ◽  
Range Theory ◽  
Consumer Assessment ◽  
Three Factor

A confirmatory factor analysis of data from the responses of 12,436 patients to 16 items on the Consumer Assessment of Healthcare Providers and Systems–Hospital survey was used to test a latent factor structure based on Peplau’s middle-range theory of interpersonal relations. A two-factor model based on Peplau’s theory fit these data well, whereas a three-factor model also based on Peplau’s theory fit them excellently and provided a suitable alternate factor structure for the data. Though neither the two- nor three-factor model fit as well as the original factor structure, these results support using Peplau’s theory to demonstrate nursing’s extensive contribution to the experiences of hospitalized patients.

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