Testing Rival Measurement Models of the Personal Report of Communication Apprehension in Two Taiwanese Samples

2010 ◽  
Vol 107 (1) ◽  
pp. 127-139 ◽  
Author(s):  
Tsung-Yuan Hsiao
Keyword(s):  
College Students ◽  
Discriminant Validity ◽  
Public Speaking ◽  
Communication Apprehension ◽  
Factor Model ◽  
Relative Importance ◽  
Measurement Models ◽  
Two Samples ◽  
Confirmatory Factor ◽  
Environmental Causes

Some previous research has questioned the appropriateness of using McCroskey's Personal Report of Communication Apprehension with participants of non-Western countries. Rival measurement models of the scale were examined on two samples of 216 and 177 college students in Taiwan. Confirmatory factor analysis of the data showed that although a four-factor model was more representative of the data than the models with one, two, or three factors, this model did not generate an acceptable fit to the data. Further testing of discriminant validity suggested that Taiwanese college students do not differentiate a meeting setting from group, dyadic, and public speaking settings. Findings of this study suggest a re-examination of the conceptualization of communication apprehension before evaluating the relative importance of biological and environmental causes.

Addressing Concerns About How Perfectionistic Discrepancy Should Be Measured With the Revised Almost Perfect Scale

Assessment ◽  
2017 ◽  
Vol 26 (3) ◽  
pp. 432-444 ◽  
Author(s):  
Kenneth G. Rice ◽  
Philip B. Gnilka ◽  
Don E. Davis ◽  
Jeffrey S. Ashby
Keyword(s):  
Doctoral Students ◽  
Discriminant Validity ◽  
Factor Model ◽  
National Sample ◽  
Confirmatory Factor Analyses ◽  
Measurement Models ◽  
Two Samples ◽  
Confirmatory Factor ◽  
Stem Students ◽  
Criterion Variables

We examine the conceptual and empirical merits of concerns Flett et al. recently raised about the Almost Perfect Scale–Revised (APS-R), specifically that items on the APS-R Discrepancy should be separated into a “Pure” Discrepancy factor and a Dissatisfaction factor. Limitations in the logic and findings of that critique are summarized. We replicate and extend Flett et al.’s study with results from two samples: (a) college freshmen STEM students ( N = 279) and (b) doctoral students in a national sample ( N = 529). Confirmatory factor analyses indicated that the alternative measurement models could be fit to the data, but were not practical improvements over the original APS-R factor model: Alternative discrepancy factors failed to demonstrate discriminant validity, nor did they have meaningfully different patterns of associations with numerous criterion variables (i.e., stress, emotion regulation, rumination, adult attachment, and life satisfaction). Thus, a data-based answer to the question of how perfectionistic discrepancy should be assessed is to stay the course with confidence using the original APS-R.

scholarly journals Investigation of the Statistical Anxiety Rating Scale Psychometric Properties with a Sample of Greek Students

2021 ◽  
Vol 10 (2) ◽  
pp. 116
Author(s):  
Konstantinos Lavidas ◽  
Dionysios Manesis ◽  
Vasilios Gialamas
Keyword(s):  
Psychometric Properties ◽  
Discriminant Validity ◽  
Rating Scale ◽  
Factor Model ◽  
Tertiary Education ◽  
Statistics Anxiety ◽  
Education Students ◽  
Confirmatory Factor Analyses ◽  
Convergent And Discriminant Validity ◽  
Confirmatory Factor

The purpose of this study was to adapt the Statistics Anxiety Rating Scale (STARS) for a Greek student population. The STARS was administered to 890 Tertiary Education students in two Greek universities. It was performed a cross-validation study to examine the factorial structure and the psychometric properties with a series of confirmatory factor analyses. Results revealed a correlated six first-order factor model which provided the best fit to the data compared to a six-factor model with one superordinate factor. All six factors of the Greek version of the STARS presented convergent and discriminant validity and were internally consistent. Implications and limitations are discussed.

scholarly journals Structure and correlates of interpersonal problems and sensitivities

2019 ◽  
Author(s):  
Christopher James Hopwood ◽  
Evan Good
Keyword(s):  
Factor Model ◽  
Interpersonal Problems ◽  
Well Being ◽  
Future Research ◽  
Sources Of Information ◽  
Measurement Models ◽  
Two Samples ◽  
Problematic Behaviors ◽  
Interpersonal Dysfunction ◽  
Important Marker

ObjectiveInterpersonal dysfunction is an important marker of individual differences in personality and well‐being. Existing research on interpersonal dysfunction focuses primarily on the problematic behaviors of individuals without considering how sensitivity to others’ behavior impacts functioning. In this study, we test the structure and correlates of a model of relationship dysfunction that integrates the problems individuals bring to relationships with their sensitivities to others’ behavior. We specifically examine the conjoint structure of interpersonal problems and sensitivities using a circumplex framework and associations between dimensions derived from this structure and personality, well‐being, attachment, and response style variables.MethodWe evaluated competing measurement models and examined validity correlations of interpersonal problems and sensitivities in two samples (Study 1: N = 955; 79.2% women; Mage = 19.43; Study 2: N = 1,005; 72.1% women; Mage = 19.77).ResultsSix factors capturing general (nonspecific problems and sensitivities) and stylistic (warmth and dominance for both problems and sensitivities) variation in interpersonal dysfunction were empirically distinguishable and provided incremental information about external criteria.ConclusionsResults support problems and sensitivities as overlapping but distinct sources of information about interpersonal dysfunction, and they specifically suggest an integrative six‐factor model with considerable potential for future research.

The Factorial Structure of the Tower Test From the Delis–Kaplan Executive Function System: A Confirmatory Factor Analysis Study

Assessment ◽  
2020 ◽  
pp. 107319112096081
Author(s):  
Stavros Trakoshis ◽  
Myria Ioannou ◽  
Kostas Fanti
Keyword(s):  
Executive Function ◽  
Discriminant Validity ◽  
Factor Model ◽  
Function System ◽  
Factorial Structure ◽  
Confirmatory Factor Analyses ◽  
System A ◽  
Confirmatory Factor ◽  
Best Fitting ◽  
Multiple Metrics

The Tower of London (TOL) is a well-known, widely used task that captures executive function abilities. We examined the factorial structure and discriminant validity of three measures extracted from the Delis–Kaplan Executive Function System (D-KEFS) version of the TOL, namely the D-KEFS Tower Test, in 270 individuals from a publicly available release of the Enhanced Nathan Kline Institute—Rockland sample. Confirmatory factor analyses revealed a multidimensional three-factor solution of the measures extracted from the D-KEFS Tower Test; first-move-time, excess moves, and rule violations. This model was better than the unidimensional model, the two-factor model, the bifactor model and the model that included the total achievement scores. These results support the discriminant validity of the three latent factors, over their distinct relations to the total achievement score. The best fitting model was gender-invariant and age-variant. Overall, the multidimensionality of the measures extracted from the D-KEFS Tower Test reflects the need to use multiple metrics from this version of TOL to capture executive functions instead of a single score.

scholarly journals Does the Order of Item Difficulty of the Addenbrooke's Cognitive Examination Add Anything to Subdomain Scores in the Clinical Assessment of Dementia

2015 ◽  
Vol 5 (1) ◽  
pp. 155-169 ◽  
Author(s):  
Sarah McGrory ◽  
John M. Starr ◽  
Susan D. Shenkin ◽  
Elizabeth J. Austin ◽  
John R. Hodges
Keyword(s):  
Factor Analysis ◽  
Factor Model ◽  
Item Difficulty ◽  
Principal Component ◽  
Scaling Analysis ◽  
Degenerative Disorders ◽  
Two Samples ◽  
Confirmatory Factor ◽  
The One ◽  
Addenbrooke’S Cognitive Examination

Background: The Addenbrooke's Cognitive Examination (ACE) is used to measure cognition across a range of domains in dementia. Identifying the order in which cognitive decline occurs across items, and whether this varies between dementia aetiologies could add more information to subdomain scores. Method: ACE-Revised data from 350 patients were split into three groups: Alzheimer's type (n = 131), predominantly frontal (n = 119) and other frontotemporal lobe degenerative disorders (n = 100). Results of factor analysis and Mokken scaling analysis were compared. Results: Principal component analysis revealed one factor for each group. Confirmatory factor analysis found that the one-factor model fit two samples poorly. Mokken analyses revealed different item ordering in terms of difficulty for each group. Conclusion: The different patterns for each diagnostic group could aid in the separation of these different types of dementia.

Neuropsychiatric symptom clusters of Alzheimer's disease in Hong Kong Chinese: prevalence and confirmatory factor analysis of the Neuropsychiatric Inventory

2012 ◽  
Vol 24 (9) ◽  
pp. 1465-1473 ◽  
Author(s):  
Sheung-Tak Cheng ◽  
Timothy Kwok ◽  
Linda C. W. Lam
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Model ◽  
Community Dwelling ◽  
Symptom Clusters ◽  
Neuropsychiatric Inventory ◽  
Measurement Models ◽  
Confirmatory Factor

ABSTRACTBackground: The aim of this study was to investigate the clustering of symptoms on the Neuropsychiatric Inventory (NPI) and the relative prevalence of symptom clusters in mild and moderate Alzheimer's disease (AD).Methods: Confirmatory factor analysis (CFA) was performed on the polychoric correlation matrix of 12 NPI items (scored yes or no) using the weighted least squares with mean and variance adjustment (WLSMV) estimator in Mplus (N = 224 community-dwelling Chinese persons with mild/moderate AD). Severity of AD was determined by Clinical Dementia Rating scores. The relative model fit of three competing measurement models (also known as factor structures) was tested using a modified χ2 difference test. Prevalence rates across mild and moderate stages were compared using χ2 tests. Furthermore, the measurement model of choice was cross-validated in an independent sample of 181 community-dwelling persons with dementia.Results: CFA supported a four-factor model, namely behavioral problems (agitation/aggressiveness, disinhibition, irritability, and aberrant motor behavior), psychosis (delusions and hallucinations), mood disturbance (depression, anxiety, sleep, appetite, and apathy), and euphoria (a stand-alone item that is equivalent to the factor). The most prevalent symptom clusters were behavioral (72%) and mood (69%) disturbances, followed by psychosis (45%). Euphoria was rare (6%). All syndromes were more prevalent in moderate than in mild stage, except for euphoria. In addition, the four-factor model was replicated in the cross-validation sample.Conclusions: The four syndromes provide a parsimonious conceptualization of neuropsychiatric symptoms corresponding to clinical observations and neurochemical changes of the disease. The independent replication in the second sample supports generalization of the four-factor model in Chinese persons with AD.

Attitude Instrument Analysis: An Examination of Factor Consistency across Two Samples

1979 ◽  
Vol 9 (4) ◽  
pp. 359-375 ◽  
Author(s):  
Tom Hickey ◽  
Stephen M. Bragg ◽  
William Rakowski ◽  
David F. Hultsch
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Model ◽  
Analytic Model ◽  
Factor Analytic Model ◽  
Factor Analytic ◽  
Two Samples ◽  
Confirmatory Factor ◽  
Instrument Analysis ◽  
Multiple Regression Technique

The factor analytic model of the practitioner-oriented Opinions About People (OAP) was tested with a population of gerontological practitioners (N = 558). A confirmatory factor analysis was performed to ascertain the degree-of-fit between these data and the published OAP factor model. After results supported the hypothesis that the two samples differed, a second factor analysis was designed to yield estimates of communalities by a least squares multiple regression technique. This analysis eliminated nine items not warranting inclusion in the instrument, redistributed the factors, and brought out a completely new factor. Finally, to test the hypothesis that attitudes toward aging and the aged are uncorrected, a third analysis was performed in which the six scales of the oblique solution were refactored. The resulting higher order dimensions tended to support this hypothesis.

scholarly journals Translation and Initial Validation of the Japanese Version of the Ruminative Responses Scale

2013 ◽  
Vol 112 (3) ◽  
pp. 716-726 ◽  
Author(s):  
Akira Hasegawa
Keyword(s):  
Undergraduate Students ◽  
Factor Model ◽  
Japanese Version ◽  
Valid Measure ◽  
Depressive Rumination ◽  
Initial Validation ◽  
Two Samples ◽  
Confirmatory Factor ◽  
Brooding And Reflection ◽  
Adequate Reliability

The Ruminative Responses Scale (RRS) is a measure of depressive rumination and, although several versions have been developed, the version by Treynor and colleagues has been used most frequently in research. This version contains two subscales: Brooding and Reflection. In the present study, the 22-item RRS was translated into Japanese and psychometric properties of the measure were examined in two samples of Japanese undergraduate students ( ns = 299 and 56). Confirmatory factor analysis indicated that a two-factor model of the RRS showed a moderate to good fit to the data. The total and subscale scores indicated adequate reliability and construct validity. Consistent with previous studies, correlational analyses indicated that Brooding, rather than Reflection, assessed maladaptive aspects of rumination. The Japanese RRS was shown to be a reliable and valid measure that has the potential to contribute to future depression research and clinical practice.

Hopelessness and terminal illness: The construct of hopelessness in patients with advanced AIDS

2004 ◽  
Vol 2 (1) ◽  
pp. 43-53 ◽  
Author(s):  
BARRY ROSENFELD ◽  
CHRISTOPHER GIBSON ◽  
MICHAEL KRAMER ◽  
WILLIAM BREITBART
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Terminal Illness ◽  
Factor Model ◽  
Clinical Samples ◽  
Data Sets ◽  
Two Samples ◽  
Confirmatory Factor ◽  
Beck Hopelessness Scale ◽  
Life Threatening

Objective: Understanding the construct of hopelessness in the context of a life-threatening or terminal illness is a complex and challenging undertaking. The objective of this study was to examine the construct of hopelessness in patients with advanced AIDS by examining the structure of the Beck Hopelessness Scale in this specific population.Methods: For the past three decades, the primary measure used to study hopelessness in a variety of populations has been the Beck Hopelessness Scale. Several factor analytic studies have been published using this scale, with studies of nonclinical samples typically describing a two-factor model (optimism and pessimism), whereas clinical samples have consistently generated a third factor (lack of motivation to make changes). We used confirmatory factor analysis to analyze two data sets in patients with AIDS.Results: Confirmatory factor analysis of the Beck Hopelessness Scale in two samples of patients with far advanced AIDS revealed a clear superiority for a three-factor model.Significance of results: The Beck Hopelessness Scale has unique characteristics when applied to a terminally ill population. The implications of these results for studies of terminal illness are discussed.

Loneliness in adolescence: Confirmatory factor analysis of the relational provisions loneliness questionnaire (RPLQ) in a Portuguese sample

2019 ◽  
Vol 43 (5) ◽  
pp. 457-465
Author(s):  
Olívia Ribeiro ◽  
António J. Santos ◽  
Miguel Freitas ◽  
António Rosado ◽  
Kenneth H. Rubin
Keyword(s):  
Social Life ◽  
Discriminant Validity ◽  
Factor Model ◽  
Peer Group ◽  
Empirical Support ◽  
External Criterion ◽  
Confirmatory Factor Analyses ◽  
Loneliness Scale ◽  
9Th Grade ◽  
Confirmatory Factor

The present study assesses the factor structure, psychometric adequacy, and invariance across sex and age of the Relational Provisions Loneliness Questionnaire (RPLQ). Discriminant validity with an external criterion was also tested. In a sample of Portuguese adolescents, from 7th to 9th grade ( N = 817), Confirmatory Factor Analyses (CFA) were conducted to test a four-factor model of loneliness (lack of integration and/or intimacy in peer group and/or family). Results evidenced empirical support for the structure of the RPLQ loneliness scale, which fitted very well the proposed model, and provided adequate fit to the Portuguese data. There was substantial support for the construct validity (factorial, convergent, and discriminant) and reliability of the RPLQ. Measurement invariance (configural, metric, and scalar) was established across sex and age. Finally, it was assured discriminant validity, provided by the contrast with the social functioning dimensions in peer group. Overall, our findings support the conceptualization of loneliness in adolescence by peer- and family-related loneliness through lack of integration and intimacy. In a single instrument, the RPLQ loneliness scale combines measures of four important aspects of adolescents’ social life. This seems to be an adequate instrument to be used in the study of adolescents’ loneliness, in its different forms and across relational contexts.

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