Hierarchical Modelling of Facial Perceptions: A Secondary Analysis of Aggressiveness Ratings

2020 ◽  
Author(s):  
Mark Christopher Adkins ◽  
Nataly Beribisky ◽  
Stephan Bonfield ◽  
Linda Farmus
Keyword(s):  
Factor Analysis ◽  
Mixed Model ◽  
Structural Information ◽  
Secondary Analysis ◽  
Specific Factor ◽  
Primary Analysis ◽  
Model Framework ◽  
Psychological Science ◽  
Individual Traits ◽  
Confirmatory Factor

The Psychological Science Accelerator’s (PSA) primary project tested for latent structure using exploratory factor analysis and confirmatory factor analysis but we decided to diverge from this approach and model individual traits separately. Our interest mainly was in examining the interplay between “stimulus ethnicity” and “stimulus sex” to discover how differing levels of these criterion differ across region, country, lab etc. While the necessary and prerequisite hierarchical structural information about each trait could certainly be found within the primary project’s dataset, we did not assume that any specific factor structure from the PSA’s primary analysis would necessarily hold, therefore we based our decision to model the data from each trait separately using a mixed model framework.

scholarly journals Validation of three-item Fatigue Severity Scale for patients with substance use disorder: a cohort study from Norway for the period 2016-2020

2020 ◽  
Author(s):  
Jørn Henrik Vold ◽  
Rolf Gjestad ◽  
Christer Aas ◽  
Eivind Meland ◽  
Kjell Arne Johansson ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Internal Consistency ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Health Assessment ◽  
Severity Scale ◽  
Mixed Model Analysis ◽  
Confirmatory Factor ◽  
Health Assessments ◽  
Fatigue Severity

Abstract Background Little attention has been paid to customising fatigue questionnaires for patients with Substance Use Disorders (SUDs). The present study aims to validate and shorten the nine-item Fatigue Severity Scale (FSS-9) and Visual Analogue Fatigue Scale (VAFS) for use with this population.MethodsWe used data from a nested cohort with annual health assessments with responses on the FSS-9 and VAFS. During the period 2016–2020, 917 health assessments were collected from 655 patients with SUD in Bergen and Stavanger, Norway. A total of 225 patients answered the health assessment at least twice. We defined baseline as the first annual health assessment when the health assessments were sorted chronologically per patient. We checked for internal consistency, and we used longitudinal confirmatory factor analysis and linear mixed model analysis to validate and shorten the FSS-9 and VAFS. ResultsThe internal consistency of the FSS-9 was excellent with a Cronbach’s α of 0.94 at baseline and 0.93 at the second annual health assessment. When shortening the FSS-9 to a three-item FSS (FSS-3, items 5–7), the Cronbach’s α was 0.87 at baseline and 0.84 at the second health assessment. The internal consistency was not affected when the VAFS was added to the FSS-9 and the FSS-3. The longitudinal confirmatory factor analysis model between baseline and the second health assessment showed a well-fitting model for the FSS-3 (χ2 = 13.33, degree of freedom = 8, P = 0.101) with a correlation of r = 0.52 and P < 0.001 between the annual health assessments. The linear mixed model analysis showed equal linear changes at the individual level for the FSS-3 (slope: 0.00, P > 0.05) and FSS-9 (slope: 0.01, P > 0.05) between the health assessments.ConclusionThe ten items (FSS-9 plus VAFS) could be shortened to a three-item FSS with excellent validity and reliability for patients with SUDs. Shortened and validated fatigue scales may be a way to ensure reliable results in this population.

scholarly journals Validation and Shortening Questionnaires Used in Surveys and Trials on Populations with Substance use Disorders: A Method using the Fatigue Severity Scale

2020 ◽  
Author(s):  
Jørn Henrik Vold ◽  
Rolf Gjestad ◽  
Christer Aas ◽  
Eivind Meland ◽  
Kjell Arne Johansson ◽  
...  
Keyword(s):  
Substance Use ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Substance Use Disorders ◽  
Internal Consistency ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Severity Scale ◽  
Confirmatory Factor ◽  
Fatigue Severity

Abstract BackgroundPrecise and valid measurements of health outcomes and exposures among people with substance use disorders (SUDs) is essential to improve health services and health within this group. Unfortunately, many of the standardized questionnaires are validated on other populations and are often too comprehensive, and insufficiently adapted to the group. This may introduce limitations on several aspects that can be assessed but also biases due to research participation fatigue. New methods are needed to validate shortened and adapted questionnaires for this population. This study aims to present a method on how to shorten validated questionnaires and assure a construct validity when applied to SUD populations. MethodsWe used the data from a nested cohort with responses on a nine-item Fatigue Severity Scale (FSS-9), and Visual Analog Fatigue Scale (VAFS) collected from 655 people with SUD in Bergen and Stavanger, Norway, in the period 2016-2020. A total of 225 people filled out FSS-9 and VAFS at least twice. We defined baseline as the first measurement of FSS and VAFS when the measurements were sorted chronologically per participant. A three-step method was used for validation and shortening: Checking of internal consistency; longitudinal confirmatory factor analysis; linear mixed model analysis.ResultsThe internal consistency of FSS-9 was excellent with a Cronbach’s coefficient α on 0.94 at baseline and 0.92 at the second measurement. When shortening FSS-9 to a three-item FSS (FSS-3) (items 5-7), the Cronbach’s coefficient α was 0.87 at baseline and 0.85 at the second measurement. The internal consistency was not affected when VAFS was added to FSS-9 and FSS-3, respectively. The longitudinal confirmatory factor analysis model between baseline and second measurement showed a well-fitted model for FSS-3 (χ2 = 13.33, degree of freedom = 8, P = 0.101) with a correlation on r = 0.52, P < 0.001 between the measurements. The linear mixed model analysis showed equal linear changes at individual level for FSS-3 (slope: 0.00, P > 0.05) and FSS-9 (slope: 0.01, P > 0.05) between the measurements.ConclusionThe ten items could be shortened to a three-item version with excellent validity and reliability. This method could be useful for validating and shortening other questionnaires among patients with SUD and other populations.

scholarly journals I want to move my body - right now! The CRAVE Scale to measure state motivation for physical activity and sedentary behavior

2020 ◽  
Author(s):  
Matthew A. Stults-Kolehmainen ◽  
Miguel Blacutt ◽  
Todd A. Gilson ◽  
Phil Stanforth ◽  
Amanda L. Divin ◽  
...  
Keyword(s):  
Physical Activity ◽  
Factor Analysis ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Present Moment ◽  
Sedentary Behaviors ◽  
Physical Fatigue ◽  
Confirmatory Factor ◽  
Two Factors ◽  
Test Retest Reliability

Energy expenditure undulates throughout the day and likely motivation for it. The aim of this investigation was to create a short assessment (CRAVE) to measure transient wants or desires for physical activity and sedentary behaviors. Five studies were conducted to construct and validate the scale, with 1035 subjects completing the scale a total of 1,697 times. In Study 1, participants (n= 402, M_age = 20.9 +/- 3.2) completed a questionnaire inquiring about the 'want' or 'desire' to perform behaviors 'at the present moment'. Seven items related to physical activity (e.g., move my body). Eight items addressed sedentary behaviors (e.g., rest my body). Exploratory factor analysis revealed that 13 items should be retained, loading onto two factors (rest, move). In Study 2 (n= 444, M_age = 20.3 +/- 2.9) a confirmatory factor analysis revealed a good fit for the model (CFI=.99, RMSEA=.049). Items loaded strongly onto two latent factors (>.7). Rest/move were inversely related for both sets of factor analyses (-.75 for both). In Study 3, 127 participants (M_age= 28.1 +/- 7.9) completed the CRAVE up to 10 times over a 2-year period. Cronbach alphas were high (>.86). A linear mixed model revealed that test-retest reliability was stronger when the CRAVE was administered twice on the same day (>.73) than compared to retest over 6-month intervals (>.37). In Study 4, a maximal treadmill test was completed by 21 participants (M_age = 20.5 +/- 1.4). The CRAVE was completed immediately pre and post, along with other surveys for perceived physical fatigue. Desire to move decreased 35% and rest increased 61%. Changes in perceived physical fatigue correlated with move (r= -.52) and rest (r= .53). In Study 5, 41 university students (M_age = 22.5 +/- 5.1) sat quietly during a 50-minute lecture. They completed the CRAVE at 3 times points along with the Activation/Deactivation Checklist. Desire to move increased 15% while rest decreased 15%. Perceived energy, but not tension, was related to both move (r= .38) and rest (r= -.38). In conclusion, the CRAVE scale has good psychometric properties. Future studies need to explore how desires to move and rest relate to dynamic changes in physical activity and sedentarism.

scholarly journals O009 The Good Sleeper Scale-13 Items: a standardised questionnaire for the assessment of good sleepers

2021 ◽  
Vol 2 (Supplement_1) ◽  
pp. A4-A5
Author(s):  
J Manners ◽  
S Appleton ◽  
A Reynolds ◽  
Y Melaku ◽  
T Gill ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Online Survey ◽  
Secondary Analysis ◽  
Model Fit ◽  
Sleep Health ◽  
Daytime Functioning ◽  
Confirmatory Factor ◽  
Health Rating ◽  
Future Work ◽  
Good Sleep

Abstract Introduction Good sleep is not merely the absence of sleep disorder symptoms, yet this criterion is commonly applied in research studies. We developed the Good Sleeper Scale-13 (GSS-13) to standardise identification of good sleepers. Methods We conducted a secondary analysis of the 2019 Sleep Health Foundation online survey of adult Australians (N = 2,044, aged 18–90 years). Possible GSS-13 items were chosen collaboratively with co-authors. Exploratory factor analysis (EFA) was conducted on 10% of the dataset chosen at random (N = 191) for factor identification and item reduction. Confirmatory factor analysis (CFA) on the remaining 90% (N = 1,853) tested model fit. Associations with sleep concerns, health, and daytime functioning tested validity of the final version. Results From EFA, six factors were identified: Adequate Sleep; Insomnia; Regularity; Timing; Sleep Duration; Perceived Sleep Problem. On CFA, model fit was comparable to other sleep instruments, X² (67) = 387.34, p &lt; .001, CFI = .95, TLI = .92, RMSEA = .05. Cronbach’s alpha was largely acceptable (≥.7) across subscales. Consistent correlations were found between GSS-13 global scores and outcomes, including “a good night’s sleep” (r = .65, p &lt; .001), feeling un-refreshed (r = -.53, p &lt; .001), and general health rating (r = .44, p &lt; .001). Classification accuracy for insomnia symptoms was also high (AUC = .84). Conclusions The GSS-13 is psychometrically sound, correlated well with sleep, health, and daytime functioning, and can be used to identify good sleepers for research. Future work will test relationships with other sleep measures.

Evidence-based subtypes in functional dyspepsia with confirmatory factor analysis: Psychosocial and physiopathological correlates

2001 ◽  
Vol 120 (5) ◽  
pp. A51-A52 ◽  
Author(s):  
B FISCHLER ◽  
J VANDENBERGHE ◽  
P PERSOONS ◽  
V GUCHT ◽  
D BROEKAERT ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Functional Dyspepsia ◽  
Evidence Based ◽  
Confirmatory Factor

The French Version of the Revised Child Anxiety and Depression Scale (RCADS) in a Nonclinical Sample

2015 ◽  
Vol 74 (3) ◽  
pp. 119-127 ◽  
Author(s):  
Martine Bouvard ◽  
Anne Denis ◽  
Jean-Luc Roulin
Keyword(s):  
Factor Analysis ◽  
Anxiety Disorder ◽  
Confirmatory Factor Analysis ◽  
Generalized Anxiety Disorder ◽  
Child Anxiety ◽  
Depression Scale ◽  
Anxiety And Depression ◽  
Generalized Anxiety ◽  
French Version ◽  
Confirmatory Factor

This article investigates the psychometric properties of the Revised Child Anxiety and Depression Scale (RCADS). A group of 704 adolescents completed the questionnaires in their classrooms. This study examines potential confirmatory factor analysis factor models of the RCADS as well as the relationships between the RCADS and the Screen for Child Anxiety Related Emotional Disorders-Revised (SCARED-R). A subsample of 595 adolescents also completed an anxiety questionnaire (Fear Survey Schedule for Children-Revised, FSSC-R) and a depression questionnaire (Center for Epidemiological Studies Depression Scale, CES-D). Confirmatory factor analysis of the RCADS suggests that the 6-factor model reasonably fits the data. All subscales were positively intercorrelated, with rs varying between .48 (generalized anxiety disorder-major depression disorder) and .65 (generalized anxiety disorder-social phobia/obsessive-compulsive disorder). The RCADS total score and all the RCADS scales were found to have good internal consistency (> .70). The correlations between the RCADS subscales and their SCARED-R counterparts are generally substantial. Convergent validity was found with the FSSC-R and the CES-D. The study included normal adolescents aged 10 to 19. Therefore, the findings cannot be extended to children under 10, nor to a clinical population. Altogether, the French version of the RCADS showed reasonable psychometric properties.

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.

Development and Validation of a German Language Unit-Level Organizational Citizenship Behavior (OCB) Scale

2020 ◽  
Vol 36 (5) ◽  
pp. 852-863 ◽  
Author(s):  
George Gunnesch-Luca ◽  
Klaus Moser
Keyword(s):  
Factor Analysis ◽  
Organizational Citizenship ◽  
Organizational Citizenship Behavior ◽  
Helping Behavior ◽  
Citizenship Behavior ◽  
German Language ◽  
Individual Level ◽  
Unit Level ◽  
Confirmatory Factor ◽  
Development And Validation

Abstract. The current paper presents the development and validation of a unit-level Organizational Citizenship Behavior (OCB) scale based on the Referent-Shift Consensus Model (RSCM). In Study 1, with 124 individuals measured twice, both an Exploratory Factor Analysis (EFA) and a Confirmatory Factor Analysis (CFA) established and confirmed a five-factor solution (helping behavior, sportsmanship, loyalty, civic virtue, and conscientiousness). Test–retest reliabilities at a 2-month interval were high (between .59 and .79 for the subscales, .83 for the total scale). In Study 2, unit-level OCB was analyzed in a sample of 129 work teams. Both Interrater Reliability (IRR) measures and Interrater Agreement (IRA) values provided support for RSCM requirements. Finally, unit-level OCB was associated with group task interdependence and was more predictable (by job satisfaction and integrity of the supervisor) than individual-level OCB in previous research.

Confirmatory Factor Analysis of the Long and Short Forms of the Worry Domains Questionnaire

2009 ◽  
Vol 25 (4) ◽  
pp. 239-243
Author(s):  
Roberto Nuevo ◽  
Andrés Losada ◽  
María Márquez-González ◽  
Cecilia Peñacoba
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Goodness Of Fit ◽  
Factorial Validity ◽  
Fit Indices ◽  
Short Forms ◽  
Confirmatory Factor ◽  
Positive Correlations ◽  
Future Work

The Worry Domains Questionnaire was proposed as a measure of both pathological and nonpathological worry, and assesses the frequency of worrying about five different domains: relationships, lack of confidence, aimless future, work, and financial. The present study analyzed the factor structure of the long and short forms of the WDQ (WDQ and WDQ-SF, respectively) through confirmatory factor analysis in a sample of 262 students (M age = 21.8; SD = 2.6; 86.3% females). While the goodness-of-fit indices did not provide support for the WDQ, good fit indices were found for the WDQ-SF. Furthermore, no source of misspecification was identified, thus, supporting the factorial validity of the WDQ-SF scale. Significant positive correlations between the WDQ-SF and its subscales with worry (PSWQ), anxiety (STAI-T), and depression (BDI) were found. The internal consistency was good for the total scale and for the subscales. This work provides support for the use of the WDQ-SF, and potential uses for research and clinical purposes are discussed.

Task and Relationship Conflict at Work

2011 ◽  
Vol 27 (3) ◽  
pp. 171-178 ◽  
Author(s):  
Nale Lehmann-Willenbrock ◽  
Anna Grohmann ◽  
Simone Kauffeld
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Negative Impact ◽  
Longitudinal Design ◽  
Industrial Sector ◽  
Task Conflict ◽  
Relationship Conflict ◽  
Factor Solution ◽  
Convenience Sample ◽  
Confirmatory Factor

The distinction between task and relationship conflict is well established. Based on Jehn’s (1995) intragroup conflict scale, we developed an economic six-item questionnaire for assessing relationship and task conflict in work groups. Confirmatory factor analysis was performed on data from a convenience sample (N = 247), and confirmed the original two-factor solution. The stability of the obtained two-factor solution was supported by confirmatory factor analysis in a longitudinal design with a second sample (N = 431) from the industrial sector. In line with previous research, the two types of conflict were intercorrelated. Moreover, the two subscales showed differential longitudinal effects on team outcomes. Task conflict was beneficial for performance in nonroutine tasks (but not in routine tasks). Relationship conflict had a negative impact on team viability and coworker trust.

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