scholarly journals The Uniform Dataset 3.0 Neuropsychological Battery: Factor Structure, Invariance Testing, and Demographically Adjusted Factor Score Calculation

2020 ◽  
Vol 26 (6) ◽  
pp. 576-586 ◽  
Author(s):  
Andrew M. Kiselica ◽  
Troy A. Webber ◽  
Jared F. Benge
Keyword(s):  
Older Adults ◽  
Factor Structure ◽  
Cognitive Abilities ◽  
Factor Score ◽  
Higher Order ◽  
Factor Scores ◽  
Neuropsychological Battery ◽  
Confirmatory Factor Analyses ◽  
Invariance Testing ◽  
Metric Invariance

AbstractObjective:The goals of this study were to (1) specify the factor structure of the Uniform Dataset 3.0 neuropsychological battery (UDS3NB) in cognitively unimpaired older adults, (2) establish measurement invariance for this model, and (3) create a normative calculator for factor scores.Methods:Data from 2520 cognitively intact older adults were submitted to confirmatory factor analyses and invariance testing across sex, age, and education. Additionally, a subsample of this dataset was used to examine invariance over time using 1-year follow-up data (n = 1061). With the establishment of metric invariance of the UDS3NB measures, factor scores could be extracted uniformly for the entire normative sample. Finally, a calculator was created for deriving demographically adjusted factor scores.Results:A higher order model of cognition yielded the best fit to the data χ2(47) = 385.18, p < .001, comparative fit index = .962, Tucker-Lewis Index = .947, root mean square error of approximation = .054, and standardized root mean residual = .036. This model included a higher order general cognitive abilities factor, as well as lower order processing speed/executive, visual, attention, language, and memory factors. Age, sex, and education were significantly associated with factor score performance, evidencing a need for demographic correction when interpreting factor scores. A user-friendly Excel calculator was created to accomplish this goal and is available in the online supplementary materials.Conclusions:The UDS3NB is best characterized by a higher order factor structure. Factor scores demonstrate at least metric invariance across time and demographic groups. Methods for calculating these factors scores are provided.

scholarly journals Depression and Psychological Well-Being as Distinct Constructs: Mutually Exclusive Associations With Biomarker

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 251-251
Author(s):  
Kheng Siang Ted Ng ◽  
Shu Cheng Wong ◽  
Glenn Wong ◽  
Ee Heok Kua ◽  
Anis Larbi ◽  
...  
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Depressive Symptoms ◽  
Factor Score ◽  
Well Being ◽  
Community Dwelling ◽  
The Other ◽  
Factor Scores ◽  
Psychological Well Being ◽  
Wide Range

Abstract Despite increasing emphasis on assessing the mental health of older adults, there has been inconclusive evidence on whether depression and psychological well-being (PWB) are fundamentally distinct constructs or representations of the opposite ends of the mental health spectrum. To instantiate either hypothesis, investigation of the associations between mental health scales and biomarkers have been proposed. First, we assessed depressive symptoms and PWB in community-dwelling older adults (N=59, mean age=67) using the Self-Rating Depression Scale (SDS) and Ryff’s Scale of PWB (comprising six sub-scales). We measured a wide range of immune markers employing ELISA and flow cytometry. Subsequently, we used principal component analysis (PCA) to aggregate and derived biomarker factor scores. Lastly, multiple linear regressions were performed to examine the associations between the scales and the derived biomarker factor scores, controlling for covariates. PCA extracted six biomarker factors. Biomarker factor score 1 was significantly associated with PWB (β=-0.029, p=0.035) and the PWB sub-scale, self-acceptance (β=-0.089, p=0.047), while biomarker factor score 4 was significantly associated with the PWB sub-scale, purpose in life (β=-0.087, p=0.025). On the other hand, biomarker factor 6 was significantly associated with SDS (β=-0.070, p=0.008). There were mutually- exclusive associations between the scales with biomarker factor scores, supporting the hypothesis of distinct constructs. Our findings expanded the biomarkers of depression and PWB, deepening understanding of the biological underpinnings of depressive symptoms and PWB. These findings have implications in field work, since researchers could not infer one construct from the other, the examination of both constructs are essential.

Adaptation of the HIV Stigma Scale in Spaniards with HIV

2015 ◽  
Vol 18 ◽  
Author(s):  
Maria José Fuster-RuizdeApodaca ◽  
Fernando Molero ◽  
Francisco Pablo Holgado ◽  
Silvia Ubillos
Keyword(s):  
Factor Structure ◽  
Opportunistic Infections ◽  
Higher Order ◽  
Hiv Stigma ◽  
Confirmatory Factor Analyses ◽  
Stigma Scale ◽  
The People ◽  
Good Internal Consistency ◽  
Hiv Status Disclosure ◽  
Order Four

AbstractThe primary goal of this study was to adapt Berger, Ferrans, & Lahley (2001) HIV Stigma Scale in Spain, using Bunn, Solomon, Miller, & Forehand (2007) version. A second goal assessed whether the four-factor structure of the adapted scale could be explained by two higher-order dimensions, perceived external stigma and internalized stigma. A first qualitative study (N = 40 people with HIV, aged 28–59) was used to adapt the items and test content validity. A second quantitative study analyzed construct and criterion validity. In this study participants were 557 people with HIV, aged 18–76. The adapted HIV Stigma Scale for use in Spain (HSSS) showed a good internal consistency (α = .88) and good construct validity. Confirmatory Factor Analyses yielded a first-order, four-factor structure and a higher-order, bidimensional structure with the two expected factors (RMSEA = .051, 90% CI [.046, .056]; RMR = .073; GFI = .96; AGFI = .96; CFI = .98). Negative relations were found between stigma and quality of life (r = –.39; p < .01), self-efficacy to cope with stigma (r = –.50; p < .01) and the degree of HIV status disclosure (r = –.35; p < .01). Moreover, the people who had suffered AIDS-related opportunistic infections had a higher score in the Perceived External Stigma dimension than those who had not suffered them, t (493) = 3.02, p = .003, d = 0.26.

Psychometric Qualities of the Creative Process Engagement Scale in a Malaysian Undergraduate Sample

2017 ◽  
Vol 76 (1) ◽  
pp. 35-42 ◽  
Author(s):  
Chee-Seng Tan ◽  
Timothy Teo
Keyword(s):  
Factor Structure ◽  
Undergraduate Students ◽  
Creative Process ◽  
Factor Loading ◽  
Male Students ◽  
Confirmatory Factor Analyses ◽  
Invariance Testing ◽  
Confirmatory Factor ◽  
Equivalent Factor ◽  
Engagement Scale

Abstract. The present study examines the psychometric properties of the Creative Process Engagement Scale (CPES) among Malaysian undergraduates. A total of 377 undergraduates whose ages ranged from 18 to 43 years participated in the study and were presented with the CPES and self-perceived creativity. Confirmatory factor analyses supported the hierarchical four-factor structure of the CPES, which consisted of three first-order factors and one second-order factor. In addition, we found that the CPES has sound internal consistency as well as criterion-related validity. Furthermore, the results of measurement invariance testing supported the hypothesis of equivalent factor loading and intercepts for this hierarchical four-factor structure across gender. Latent mean analysis revealed that female students showed less engagement in creativity-related activities than male students. The findings shed light on the psychometric qualities of the CPES and confirm that the CPES measures involvement in creative activities across gender in undergraduate students.

Background for and Development of a Brief Adult Behavioral Classification Project Inventory

1998 ◽  
Vol 83 (2) ◽  
pp. 531-544
Author(s):  
Sam Marullo ◽  
Ralph Mason Dreger
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Original Data ◽  
Factor Scores ◽  
Factor Analyses ◽  
Data Set ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Behavioral Classification ◽  
Classification Project

An abridgement of the Adult Behavioral Classification Project Inventory (AdBCP) was accomplished. The creation and development of the full-scale Inventory is described in Phase I. In Phase II, the participant pool was divided into half, and each half of the data set was subjected to both exploratory and confirmatory factor analyses with a factor control of 11 of the strongest factors in the original data set. Items identifying these factors had to have at least |.35| factor structure weights, leaving a 42-item instrument, the Brief AdBCP Inventory. Predicting from the first half to the second half by confirmatory factor analysis resulted in a fair confirmation of the factor structure. A rough norm table is offered based on the factor scores of the first half of the participants' records.

scholarly journals Dominance of General versus Specific Aspects of Wellbeing on the Student Subjective Wellbeing Questionnaire

2021 ◽  
Author(s):  
Anthony J. Roberson ◽  
Tyler L Renshaw
Keyword(s):  
Factor Structure ◽  
Subjective Wellbeing ◽  
School Connectedness ◽  
General Factor ◽  
Factor Scores ◽  
Educational Purpose ◽  
Confirmatory Factor Analyses ◽  
Student Wellbeing ◽  
Reliability Indices ◽  
Model Based

The Student Subjective Wellbeing Questionnaire (SSWQ) is a 16-item measure of school-specific subjective wellbeing. Previous studies have found evidence supporting the interpretation of scores as consisting of four domain-specific factors (i.e., joy of learning, academic efficacy, educational purpose, school connectedness) along with a domain-general factor (i.e., general student wellbeing). We extended previous work to scrutinize the SSWQ factor structure and score reliability by analyzing responses from a large sample (N = 1,020) of adolescents in grades 9-12. Using confirmatory factor analyses, we reevaluated the previously supported SSWQ structures and tested the tenability of alternate bifactor models. Additionally, we tested if scores derived from simple summing of SSWQ item ratings were practically equivalent to model-derived factor scores. Results provided partial support for the replication of data-model fit for SSWQ correlated-factors and higher-order models. Model convergence problems were noted when fitting all 16 items to a bifactor structure with the educational purpose items identified as the key source of misfit and dropped. The revised 12-item bifactor model showed strong fit and was retained as the new preferred SSWQ structure. Reliability indices for the general student wellbeing score were consistently strong yet reliability of subscale scores was significantly weaker. Correlation between the domain-general sum scores of the 12- and 16-item versions was very strong (r = .98), suggesting significant overlapping variance. The correlation between the 12-item sum score and model-based general factor score was also very strong (r = .97) but did not meet our threshold for practical equivalence. We recommend future researchers reevaluate the SSWQ item content and factor structure and use model-based factor scores for analyses when operating in a latent factor framework. Ultimately, we emphasize interpreting the SSWQ general score over the subscale scores to parse individual differences or make decisions regarding intervention allocation.

The Generality of the Underlying Dimensions of the ODDI Continuing Learning Inventory

1989 ◽  
Vol 40 (1) ◽  
pp. 43-51 ◽  
Author(s):  
Jack E. Six
Keyword(s):  
Data Analysis ◽  
Factor Structure ◽  
Factor Score ◽  
Data Sets ◽  
Factor Scores ◽  
Data Set ◽  
Structure Matrix ◽  
Break Up ◽  
Positive Correlations ◽  
Oddi Continuing Learning Inventory

The purpose of this study was to determine whether or not the three empirically derived factors of the Oddi Continuing Learning Inventory (OCLI) remain hardy across study samples. Data analysis involved generating pairs of factor scores for one data set by using the factor-score coefficients of two other data sets and then correlating the pairs of factor scores. High positive correlations (r ≥ .93) indicated the three derived factors in the rotated factor structure matrix matched those reported by Oddi (1984). The results suggest the underlying dimensions of the OCLI do not break up under different study conditions.

Examining the validity of the ADHD concept in adults and older adults

CNS Spectrums ◽  
2018 ◽  
Vol 24 (5) ◽  
pp. 518-525 ◽  
Author(s):  
Brandy L. Callahan ◽  
André Plamondon
Keyword(s):  
Older Adults ◽  
Executive Functions ◽  
Factor Structure ◽  
Adult Adhd ◽  
Rating Scale ◽  
Age Groups ◽  
Adhd Symptoms ◽  
Confirmatory Factor Analyses ◽  
Neuropsychological Measures ◽  
Adhd Symptomatology

ObjectiveIt is crucial to clarify the structure of attention-deficit/hyperactivity disorder (ADHD) symptomatology in all age groups to determine how to best conceptualize this disorder across the lifespan. We tested the ADHD factor structure across adulthood and investigated independent associations with executive functions.MethodData from 645 adults aged 18–59 and 233 adults aged 60–85 were drawn from the Nathan Kline Institute Rockland Sample. Participants completed the Conners Adult ADHD Rating Scale and tests of executive functioning. Invariance of the ADHD factor structure was investigated using confirmatory factor analyses. Associations with cognition were explored using multiple linear regression.ResultsResults confirmed a bifactor model with 3 specific factors (inattention, hyperactivity, and impulsivity). Factor loadings and item intercepts were invariant across ages. Levels of hyperactivity and impulsivity were lower in older adults. Inattentive symptoms in young adults were positively related to cognitive flexibility. In older adults, ADHD symptoms predicted poorer working memory.ConclusionADHD symptoms manifest similarly across adulthood. The lack of robust associations between ADHD symptomatology and executive functions raises concerns about the usefulness of neuropsychological measures in diagnosing adult ADHD. These results support the validity of the ADHD concept in older adults but suggest a need for age-appropriate normative criteria.

Development and Psychometric Evaluation of a Revised Sense of Coherence Scale

2018 ◽  
Vol 34 (3) ◽  
pp. 206-215 ◽  
Author(s):  
Rahel Bachem ◽  
Andreas Maercker
Keyword(s):  
Posttraumatic Growth ◽  
Factor Structure ◽  
Sense Of Coherence ◽  
Psychological Health ◽  
Psychometric Evaluation ◽  
Health Indicators ◽  
Structure Stability ◽  
Confirmatory Factor Analyses ◽  
Reliability Factor ◽  
Two Samples

Abstract. The present study introduces a revised Sense of Coherence (SOC) scale, a new conceptualization and operationalization of the resilience indicator SOC. It outlines the scale development and aims for testing its reliability, factor structure, and validity. Literature on Antonovsky’s SOC (SOC-A) was critically reviewed to identify needs for improving the scale. The scale was investigated in two samples. Sample 1 consisted of 334 bereaved participants, Sample 2 of 157 healthy controls. The revised SOC Scale, SOC-A, and theoretically relevant questionnaires were applied. Explorative and confirmatory factor analyses established a three-factor structure in both samples. The revised SOC Scale showed significant but discriminative associations with related constructs, including self-efficacy, posttraumatic growth, and neuroticism. The revised measure was significantly associated with psychological health indicators, including persistent grief, depression, and anxiety, but not to the extent as the previous SOC-A. Stability over time was sufficient. The study provides psychometric support for the revised SOC conceptualization and scale. It has several advantages over the previous SOC-A scale (unique variance, distinct factor structure, stability). The scale could be used for clinical and health psychological testing or research into the growing field of studies on resilience over the life span.

The Factor Structure and Measurement Invariance of Positive and Negative Affect

2016 ◽  
Vol 32 (4) ◽  
pp. 265-272 ◽  
Author(s):  
Mohsen Joshanloo ◽  
Ali Bakhshi
Keyword(s):  
Negative Affect ◽  
Measurement Invariance ◽  
Factor Structure ◽  
Factor Model ◽  
Positive And Negative Affect ◽  
Cultural Groups ◽  
Invariance Testing ◽  
The Usa ◽  
Scalar Invariance ◽  
Gender Groups

Abstract. This study investigated the factor structure and measurement invariance of the Mroczek and Kolarz’s scales of positive and negative affect in Iran (N = 2,391) and the USA (N = 2,154), and across gender groups. The two-factor model of affect was supported across the groups. The results of measurement invariance testing confirmed full metric and partial scalar invariance of the scales across cultural groups, and full metric and full scalar invariance across gender groups. The results of latent mean analysis revealed that Iranians scored lower on positive affect and higher on negative affect than Americans. The analyses also showed that American men scored significantly lower than American women on negative affect. The significance and implications of the results are discussed.

The Factor Structure and Psychometric Properties of the Resiliency Scale in Chinese Undergraduates

2010 ◽  
Vol 26 (3) ◽  
pp. 162-171 ◽  
Author(s):  
Lixia Cui ◽  
Xiujie Teng ◽  
Xupei Li ◽  
Tian P.S. Oei
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Factor Structure ◽  
Undergraduate Students ◽  
Concurrent Validity ◽  
Higher Order ◽  
Criterion Variable ◽  
Confirmatory Factor ◽  
High Level ◽  
Chinese Undergraduates

The current study examined the factor structure and the psychometric properties of Sandra Prince-Embury’s Resiliency Scale for Adolescents (RESA) in Chinese undergraduates. A total of 726 undergraduate students were randomly divided into two subsamples: Sample A was used for the exploratory factor analysis (EFA) and Sample B was used for the confirmatory factor analysis (CFA). The EFA revealed that 56 items and a model of 10 factors with 3 higher order factors (as described by Sandra) were to be retained; CFA with Sample B confirmed this result. The overall scale and the subscales of the Chinese-RESA demonstrated a high level of internal consistency. Furthermore, concurrent validity was demonstrated by the correlation of the scale with other instruments such as the PANAS and the CSS, and the predictive validity was confirmed via three multiple regression analyses using the PANAS as a criterion variable: one for the 10 subscales of the C-RESA, one for the 3 higher order scales, and one for the total C-RESA. We concluded that the C-RESA may be used for research into Chinese undergraduates’ adaptive behaviors.

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