Is the Vineland-3 Comprehensive Interview Form a Multidimensional or Unidimensional Scale?: Structural Analysis of Subdomain Scores Across Early Childhood to Adulthood

Assessment ◽  
2020 ◽  
pp. 107319112094780
Author(s):  
Ryan L. Farmer ◽  
Randy G. Floyd ◽  
Patrick J. McNicholas
Keyword(s):  
Factor Analysis ◽  
Group Discussion ◽  
Age Groups ◽  
Preschool Age ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Preschool Age Children ◽  
Multidimensional Models ◽  
Unidimensional Scale

As the Vineland Scales are among the most relevant, well-developed, and popular measures of adaptive behavior available for use, this study evaluated the factor structure and dimensionality of the Vineland-3 Comprehensive Interview Form. Drawing data from 2,560 participants in the norming sample, exploratory and confirmatory factor analyses were completed across two independent samples from four age-groups ranging from preschool-age children to adults. Results from exploratory factor analysis revealed evidence for a unidimensional model across age-groups, but results from confirmatory factor analysis indicated that multidimensional models were better fitting than unidimensional models for each age-group. Discussion focuses on whether the Vineland-3 Comprehensive Interview Form is truly a unidimensional or multidimensional measure.

scholarly journals PSYCHOMETRIC EVALUATION OF THE TURKISH VERSION OF THE COVID-19 INDUCED ANXIETY SCALE AND PROTECTIVE BEHAVIORS TOWARDS COVID-19 SCALE

2021 ◽  
Vol 10 (3) ◽  
Author(s):  
Hikmet Yazıcı ◽  
Fatma Altun ◽  
Cansu Tosun ◽  
Münevver Özdemir ◽  
Yasemin Karsantık
Keyword(s):  
Factor Analysis ◽  
Psychometric Evaluation ◽  
Study Data ◽  
Anxiety Scale ◽  
Three Dimensions ◽  
Protective Behaviors ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Turkish Language

The purpose of the present study was to adapt COVID-19 Induced Anxiety Scale (CIAS) and Protective Behaviors towards COVID-19 Scale (PBCS) into Turkish language, and to investigate their psychometric properties. 593 adults participated in the study. Data were collected through CIAS and PBCS as well as The Fear of COVID-19 Scale (FCS). Cronbach alpha (α) and McDonald’s Omega (ω) coefficients were utilized for reliability of the Turkish forms of the scales, and validity of the scales was tested with exploratory factor analysis, confirmatory factor analysis and criterion validity. The analysis showed that α and ω reliability coefficients of both scales were over .70. The results of exploratory and confirmatory factor analyses revealed that CIAS had a single factor structure while PBCS had three dimensions as indicated in original forms of the scales. Significant and positive relationships were also found between the scores obtained from CIAS and PBCS and fear scores. To conclude, Turkish forms of CIAS and PBCS were proved to be valid and reliable tools to measure severity of COVID-19 induced anxiety through CIAS and individuals’ protective behaviors towards COVID-19 through PBCS.

scholarly journals The Discrepancies Between Individual-Set and Parent-Set Career Goals Scale: Development and Initial Validation

2020 ◽  
pp. 089484532090179
Author(s):  
Dian R. Sawitri ◽  
Peter A. Creed ◽  
Mirwan S. Perdhana
Keyword(s):  
Factor Analysis ◽  
Career Goals ◽  
Underlying Structure ◽  
First Year ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Research And Practice ◽  
Initial Validation ◽  
Confirmatory Factor ◽  
Item Scale

As there was no existing, psychometrically sound scale that directly assessed the discrepancies that young people experience between individual-set career goals and parent-set career goals, we developed and provided initial validation for a 15-item scale for use with young adults. In Study 1, items were developed, reviewed by experts, and administered to a sample of first year, undergraduate Indonesian students ( N = 426, M age = 18.42 years). We used exploratory factor analysis to reduce the number of items and assess the factor structure and used confirmatory factor analyses on a holdout sample to assess this underlying structure. We then provided evidence for construct validity. Recommendations for use in research and practice are discussed.

Dimensionality of burden in Alzheimer caregivers: confirmatory factor analysis and correlates of the Zarit Burden interview

2014 ◽  
Vol 26 (9) ◽  
pp. 1455-1463 ◽  
Author(s):  
Sheung-Tak Cheng ◽  
Timothy Kwok ◽  
Linda C. W. Lam
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Caregiver Burden ◽  
Care Recipient ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Zarit Burden Interview ◽  
Confirmatory Factor

ABSTRACTBackground:To investigate dimensions of caregiver burden through factor analysis of the Zarit Burden Interview (ZBI), and to examine predictors of different dimensions of burden.Methods:Confirmatory factor analyses were performed on 395 Hong Kong Chinese Alzheimer caregivers to examine whether several proposed factor structures fit the data well. Subsequently, participants were split into two roughly equal subsamples, for the purpose of identifying the most optimal factor structure through exploratory factor analysis in Sample A (n = 183) and an independent verification through confirmatory factor analysis in Sample B (n = 212). ZBI subscales representing the established factors were correlated with caregiver and care-recipient variables known to be associated with burden.Results:Confirmatory factor analyses showed that factor models reported elsewhere did not fit the data well. Subsequently, exploratory factor analysis in Sample A suggested a 4-factor structure. After dropping three items due to poor factor loadings, the 4-factor structure was found to fit the data moderately well in Sample B. The four factors tapped personal strain, captivity, self-criticism, and loss of control. However, self-criticism was basically unrelated to the other three factors and showed a rather different pattern of correlations with caregiver and care-recipient variables. Self-criticism was more common among child caregivers and those who did not live with the care-recipient and was less involved in day-to-day care, yet feeling obligated and close to the care-recipient.Conclusions:The dimensions of caregiver burden may be culturally specific. More research is needed to examine cultural considerations in measuring caregiver burden.

Exploratory and Confirmatory Factor Analyses of the Asian American Racism-Related Stress Inventory

Assessment ◽  
2011 ◽  
Vol 19 (1) ◽  
pp. 53-64 ◽  
Author(s):  
Matthew J. Miller ◽  
Jungeun Kim ◽  
Grace A. Chen ◽  
Alvin N. Alvarez
Keyword(s):  
Factor Analysis ◽  
Asian American ◽  
Factor Model ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Stress Inventory ◽  
Related Stress ◽  
Three Factor ◽  
American Racism

The authors conducted exploratory and confirmatory factor analyses of the Asian American Racism-Related Stress Inventory (AARRSI) to further examine the underlying factor structure in a total sample of 1,273 Asian American participants. In the first step of analysis, an exploratory factor analysis with 651 participants yielded a 13-item two-factor solution to the data. In the second step, a confirmatory factor analysis with 622 participants supported both the 13-item two-factor model and the original 29-item three-factor model in the cross-validation sample and generational and ethnicity analyses. The two-factor and three-factor models produced internal consistency estimates ranging from .81 to .95. In addition, the authors examined convergent and criterion related evidence for 13-item and 29-item versions of the AARRSI. Given its brief nature and generally good fit across generational status and ethnicity, the authors suggest that the 13-item AARRSI might be advantageous for research and assessment endeavors.

scholarly journals How do neuropsychologists define cognitive constructs? Further thoughts on limitations of factor analysis used with normal or mixed clinical populations

2004 ◽  
Vol 10 (7) ◽  
pp. 1020-1021 ◽  
Author(s):  
MARK W. JACOBSON ◽  
DEAN C. DELIS ◽  
JOANNE M. HAMILTON ◽  
MARK W. BONDI ◽  
DAVID P. SALMON
Keyword(s):  
Factor Analysis ◽  
Clinical Samples ◽  
Factor Analyses ◽  
Cognitive Constructs ◽  
Confirmatory Factor Analyses ◽  
Factor Analytic ◽  
Confirmatory Factor ◽  
Conceptual Relationships ◽  
Homogenous Population ◽  
Clinical Populations

In a recent study, we empirically demonstrated limitations in traditional ways that psychologists have used factor analysis to define cognitive constructs (Delis et al., 2003). Our criticism of factor analysis was not directed at this statistical method per se, but rather at how it has often been employed by psychologists to test cognitive constructs. Specifically, we pointed out shortcomings in using this techniquewith normal or mixed clinical populations. We argued that the factor-analytic studies of memory tests with normal or mixed clinical populations often yielded solutions in which measures of immediate and delayed memory loaded on the same factor. This particular use of factor analysis can mask important distinctions between critical cognitive functions that have been demonstrated using other research methods, such as experimental manipulations or case studies. We then conducted a factor-analytic study that empirically demonstrated that, whereas immediate and delayed memory measures load on the same factor when using normal or mixed clinical samples, these measures load onseparatefactors when using a homogenous population of patients with Alzheimer's disease (AD). We drew the conclusion that factor analytic techniques can still be used asonemethod for exploring conceptual relationships, but only if these methods are used as part of a systematic, programmatic exploration involving separate confirmatory factor analyses using multiple homogenous patient populations. In the first published reply to our study, Larrabee (2003) pointed out other limitations, stating that application of factor-analytic techniques to a single test that yields multiple measures may result in global, simplistic solutions due to method variance, which is the tendency of different variables from the same test to correlate significantly.

scholarly journals SOLOMON: a method for splitting a sample into equivalent subsamples in factor analysis

2021 ◽  
Author(s):  
Urbano Lorenzo-Seva
Keyword(s):  
Factor Analysis ◽  
Multivariate Regression ◽  
Factor Model ◽  
Multivariate Regression Analysis ◽  
Splitting Methods ◽  
Simulation Studies ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Analysis Process ◽  
Confirmatory Factor

AbstractNowadays, exploratory and confirmatory factor analyses are two important consecutive steps in an overall analysis process. The overall analysis should start with an exploratory factor analysis that explores the data and establishes a hypothesis for the factor model in the population. Then, the analysis process should be continued with a confirmatory factor analysis to assess whether the hypothesis proposed in the exploratory step is plausible in the population. To carry out the analysis, researchers usually collect a single sample, and then split it into two halves. As no specific splitting methods have been proposed to date in the context of factor analysis, researchers use a random split approach. In this paper we propose a method to split samples into equivalent subsamples similar to one that has already been proposed in the context of multivariate regression analysis. The method was tested in simulation studies and in real datasets.

Status Consciousness

2014 ◽  
Vol 35 (3) ◽  
pp. 166-176 ◽  
Author(s):  
Beatrice Alba ◽  
Doris McIlwain ◽  
Ladd Wheeler ◽  
Michael P. Jones
Keyword(s):  
Factor Analysis ◽  
Social Dominance ◽  
Preliminary Analysis ◽  
Social Dominance Orientation ◽  
Self Esteem ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Personality Variables ◽  
Confirmatory Factor ◽  
Hypersensitive Narcissism

This research examined individual differences in how people think about social status via a scale with eight proposed factors. Items designed to measure these factors were administered to an online sample (n = 1,009). A factor analysis revealed eight meaningful factors: rejection of status, high-perceived status, respect for hierarchy, low-perceived status, status display, egalitarianism, belief in hierarchy, and enjoyment of status. The 40 items forming these eight factors were then administered to a new sample of online participants (n = 303) alongside measures of self-esteem, social dominance orientation, competitiveness, assertiveness, social comparison orientation, narcissism, and hypersensitive narcissism. Confirmatory factor analyses from this subsequent study supported the model derived in the first study. A preliminary analysis of the construct validity of this new “Status Consciousness Scale” scale was undertaken by examining the correlations between the factors and other personality variables that were predicted to relate to each factor.

Confirmatory-Factor Analysis of the NEPSY-II for Preschool-Age Children

2009 ◽  
Author(s):  
Matthew R. Reynolds ◽  
Rachel M. Graybill ◽  
Ryan M. Alexander ◽  
Timothy Z. Keith
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Preschool Age ◽  
Confirmatory Factor ◽  
Preschool Age Children

The Higher-Order Structure of Schema Modes

2020 ◽  
Vol 34 (3) ◽  
pp. 348-376 ◽  
Author(s):  
Ingo Jacobs ◽  
Lisa Lenz ◽  
Anna Wollny ◽  
Antje Horsch
Keyword(s):  
Higher Order ◽  
Order Structure ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Five Factors ◽  
Confirmatory Factor ◽  
Item Level ◽  
Schema Modes ◽  
The Hierarchical Structure ◽  
Unidimensional Scale

In schema therapy, modes are proposed as a key concept and main target for treatment of personality disorders. The present study aimed to assess a comprehensive set of 20 modes, to explore their higher-order structure, and to link the mode factors to the generic schema factor and basic personality traits. The sample consisted of N = 533 inpatients. Earlier versions of the Schema Mode Inventory (SMI, SMI-2) were merged into the German Extended SMI (GE-SMI). Item-level confirmatory factor analyses indicated that the structure of 16 out of 20 GE-SMI scales might be unidimensional. Scale-level exploratory factor analysis revealed three hierarchically structured mode factors: internalization, externalization, and compulsivity. Regressing mode factor scores on the Big Five factors and the generic schema factor supported the validity of the mode factors. The hierarchical structure of modes will be linked to the Hierarchical Taxonomy of Psychopathology, and implications for case conceptualization and treatment will be discussed.

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