Factor Analysis of a Scale to Assess State Self-Monitoring in Adolescents during Interview: A Pilot Study

2010 ◽  
Vol 106 (3) ◽  
pp. 721-730
Author(s):  
Baoshan Zhang ◽  
Yan-Ling Bi ◽  
Guoliang Yu
Keyword(s):  
Factor Analysis ◽  
Social Interactions ◽  
Individual Interview ◽  
Short Term ◽  
Self Monitoring ◽  
Self Presentation ◽  
Situational Influences ◽  
Two Samples ◽  
Significant Difference ◽  
Confirmatory Factor

Self-monitoring is the extent to which individuals regulate self-presentation for the sake of desired public appearances. Snyder developed a Self-Monitoring Scale to measure individual differences on this construct. Since the measure could be insensitive to situational influences, it is uncertain whether the short-term self-monitoring elicited by certain social interactions could be examined. The present study explored the factor structures of a state self-monitoring scale which was adapted from 10 items of the Self-Monitoring Scale. Participants took part in an individual interview with an unfamiliar authority, and then completed the State Self-Monitoring Scale. Two samples of adolescents ( N = 98 and N = 95) were tested. Exploratory factor analysis and confirmatory factor analysis using the two samples indicated that the 9-item State Self-Monitoring Scale had two stable factors. There was a statistically significant difference on State Self-monitoring between adolescents with high and low academic achievement, supporting the validity of the scale.

The Psychometric Properties of the Revised Self-Monitoring Scale (RSMS) and the Concern for Appropriateness Scale (CAS) in Hebrew

2009 ◽  
Vol 25 (1) ◽  
pp. 8-15 ◽  
Author(s):  
Rachel Bachner-Melman ◽  
Naomi Bacon-Shnoor ◽  
Ada H. Zohar ◽  
Yoel Elizur ◽  
Richard P. Ebstein
Keyword(s):  
Factor Analysis ◽  
Population Sample ◽  
Self Esteem ◽  
Harm Avoidance ◽  
Personality Questionnaire ◽  
Self Monitoring ◽  
Structure Reliability ◽  
Israeli Population ◽  
Two Samples ◽  
Confirmatory Factor

We examined the factor structure, reliability, and construct validity of a Hebrew translation of Lennox and Wolfe’s Revised Self-Monitoring Scale (RSMS) and Concern for Appropriateness Scale (CAS) in a large Israeli population sample. A total of 1,294 individuals (1,010 females and 284 males), divided into two samples, completed the RSMS, the CAS, the Tridimensional Personality Questionnaire Harm Avoidance Scale, and the Rosenberg Self-Esteem Scale. With the exception of RSMS Item 12, the total and subscale structure of the English versions of the scales was replicated in both samples. Internal consistencies compared very favorably with those of the original scales. The CAS and the RSMS were moderately correlated yet appeared to be distinct, correlating as expected in opposite directions with harm avoidance and self-esteem. Confirmatory factor analysis justified the use of the RSMS and the CAS as separate scales with two subscales in each. Whereas the fit of our data to the RSMS was very good, the fit to the CAS was far less satisfactory, apparently because items tended to load onto both subscales. The Hebrew translation of the RSMS, and, to a lesser extent, that of the CAS, appear to be psychometrically sound instruments.

scholarly journals The Meaning of Work during Short-term Unemployment

2016 ◽  
Vol 32 (1) ◽  
pp. 123-132
Author(s):  
Pedro F. Bendassolli ◽  
Fellipe Coelho-Lima ◽  
Rafaele de Araújo Pinheiro ◽  
Pollyanna Carvalho de Siqueira Gê
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Meaning Of Work ◽  
Short Term ◽  
Unemployed People ◽  
Empirically Supported ◽  
Confirmatory Factor ◽  
Work Model

ABSTRACT This paper reports the results of an investigation of the meanings unemployed people attribute to their work. The sample comprised 358 short-term (from one to six months) unemployed workers. Data were collected using a standardized questionnaire based on a five-dimensional meaning of work model that was previously adapted to the Brazilian context. The data were submitted to a confirmatory factor analysis. The results suggest that there might not be specificities in the meanings unemployed workers attribute to their work, considering that the five-factor structure of the meaning of work model was empirically supported. The results indicate that the variables length of unemployment, number of formal jobs, age, and schooling were significantly correlated with the number of dimensions of the meaning of work model.

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.

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.

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.

scholarly journals Confirmatory Factor Analysis Specimen in Calculating Independence Element of Coastal Woman.doc

2018 ◽  
Author(s):  
Andysah Putera Utama Siahaan ◽  
Rusiadi
Keyword(s):  
Factor Analysis ◽  
Quantitative Analysis ◽  
Family Income ◽  
Descriptive Analysis ◽  
Economic Independence ◽  
Short Term ◽  
Confirmatory Factor ◽  
Confirmatory Analysis ◽  
Term Objective ◽  
Relevant Factors

The short-term objective of this study is to analyze the relevant factors in influencing the economic independence of coastal women, knowing the significant influence of the relevant factors on the economic independence of coastal women and the welfare of the fishermen's family in Desa Pahlawan. Tanjung Tiram. The population is all women/housewives in Pahlawan village, and the sample is set based on sampling quota of 66 people. Data analysis used is a method of Descriptive Analysis and Quantitative Analysis. Quantitative Analysis in this study uses the method of Confirmatory Analysis Factor (CFA) and Path Analyst analysis. The results of the CFA test revealed that the relevant factors in influencing the income of coastal women in Pahlawan village fishers to increase their economic independence were three factors selected from the eight initial factors, such as art, health, and education. The results of Path Analysis are known that art influences wife income and artistry influences family income through wife income as an intervening variable, wife's income functions as an intervening variable. Health does not affect wife's income and health influences family income through wife's income as an intervening variable, wife's income functions as an intervening variable. Education is not so influential on wife's income and education influences family income through wife's income as an intervening variable, wife's income functions as an intervening variable.

Factor Structure of the Perfectionistic Self-Presentation Scale in Korea

2011 ◽  
Vol 109 (3) ◽  
pp. 990-1000 ◽  
Author(s):  
Dong-Gwi Lee ◽  
Hanna Suh ◽  
Hee-Kyung Lee
Keyword(s):  
College Students ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Convergent Validity ◽  
Model Fit ◽  
Self Presentation ◽  
Korean Version ◽  
Confirmatory Factor ◽  
Korean College Students

This study explored the factor structure of the Korean version of the Perfectionistic Self-Presentation Scale, originally developed by Hewitt and colleagues in 2003 with three factors (Perfectionistic Self-promotion, Non-display of Imperfection, and Non-disclosure of Imperfection). In Study 1, a confirmatory factor analysis was performed on the Korean version with 27 items for 151 Korean college students, but the model fit was poor. Subsequently, an exploratory factor analysis was conducted, and the results yielded three factors as found in Hewitt, et al., yet with 20 items rather than the original 27 items. This new version had good internal consistency (Cronbach's alpha = .88); convergent validity estimate was established with a measure of self-presentation motivation. In Study 2, to support the structural validity of the Korean version, another confirmatory factor analysis was conducted with 203 Korean college students. The model fit was good, but a few amendments were made.

The Psychometric Properties of the Difficult Behavior Self-Efficacy Scale

2010 ◽  
Vol 27 (3) ◽  
pp. 191-207 ◽  
Author(s):  
Hyun-Kyoung Oh ◽  
Francis M. Kozub
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Root Mean Square ◽  
Internal Consistency ◽  
Self Efficacy ◽  
Mean Square ◽  
Two Samples ◽  
Confirmatory Factor ◽  
Fit Index

The study was designed to estimate the psychometric properties of Hastings and Brown’s (2002a) Difficult Behavior Self-efficacy Scale. Participants were two samples of physical educators teaching in Korea (n = 229) and the United States (U.S.; n = 139). An initial translation of the questionnaire to Korean and pilot study were conducted along with the larger study using a confirmatory factor analysis procedure. Internal consistency estimates (weighed Omega) for the five-item scale were 0.88 both the Korean and U.S. samples. The average variances extracted for the one factor were 0.59 for the total data set and 0.57 each for the Korean and U.S. samples. Confirmatory factor analysis supported a five-item, unidimensional model for self-efficacy for the total sample: Goodness of Fit Index (GFI) = 0.97, Nonnormed Fit Index (NNFI) = 0.95, Comparative Fit Index (CFI) = 0.98, and Standardized Root Mean Square Residual (SRMR) = 0.03. Only the Root Mean Square Error of Approximation (RMSEA = 0.12) fell below criterion levels of acceptable fit, with similar fit indices occurring in separate analyses of the Korean and U.S. samples. Invariance testing across the two samples supported metric invariance (similarity of factor loadings) but not scalar invariance (U.S. means higher on all five items). The factor structure for the self-efficacy scale provides an initial estimate of validity and internal consistency for use with different teacher groups.

Development and Validation of the College Social–Emotional Crossroads Inventory

2019 ◽  
Vol 28 (3) ◽  
pp. 496-511
Author(s):  
Patton O. Garriott ◽  
Helen Chao ◽  
Mackenzie Jessen ◽  
Ree Ae Jordan ◽  
Joseph Galluzzo ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Undergraduate Students ◽  
Family Income ◽  
Social Emotional ◽  
First Generation College Student ◽  
Cultural Fit ◽  
Two Samples ◽  
Confirmatory Factor ◽  
First Generation College

The purpose of this study was to develop and provide initial validity evidence for the College Social–Emotional Crossroads Inventory (C-SECI). A sample (N = 751) of undergraduate students was randomly split into two samples for exploratory and confirmatory factor analysis. Results of exploratory factor analysis indicated that three factors should be extracted from the data and that the items comprised three subscales: Campus Cultural Fit, Academic Capital, and School–Family Integration. A confirmatory factor analysis suggested a bifactor structure was the best representation of the C-SECI items. Furthermore, scores on the C-SECI subscales correlated in expected directions with measures of institutional classism, academic self-efficacy, academic progress, global stress, first-generation college student status, subjective social status, and family income. The C-SECI is a brief measure that can be used to capture tensions students may experience between their postsecondary institutions and families and communities of origin.

scholarly journals Comparing different versions of the Rahim EI questionnaire in a South African context: A confirmatory factor analysis approach

2015 ◽  
Vol 41 (1) ◽  
Author(s):  
Petrus Nel ◽  
Marieta Du Plessis ◽  
Leon Bosman
Keyword(s):  
Factor Analysis ◽  
Emotional Intelligence ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
South African ◽  
Factor Structure ◽  
General Factor ◽  
Two Samples ◽  
Confirmatory Factor ◽  
The Impact

Orientation: Given the interest in the importance of emotional intelligence in employees and leaders with regard to performance of their jobs, it is imperative to use reliable and validinstruments to operationalise emotional intelligence.Research purpose: The purpose of the study was to assess the psychometric properties of three different versions of the Rahim emotional intelligence index (EQI), specifically withregard to its factor structure and reliability, using two different samples.otivation for the study: No previous study has investigated which version of the Rahim EQI is the most appropriate for conducting research within South African organisations. Inaddition, the question of whether the Rahim EQI measures a strong general factor has notbeen answered.Research approach, design, and method: A cross-sectional quantitative research design wasused. Two samples were used (n = 470 and n = 308). The first sample completed the 40-itemversion of the Rahim EQI, whilst the second sample completed the 30-item version of the Rahim EQI. The measurement model, representing the 22-item version of the Rahim EQI, was also fitted to both these samples. Confirmatory factor analysis was used to compare thedifferent versions, as well as conceptualisations, of the Rahim EQI.Main findings: The 22-item version of the Rahim EQI exhibited better model fit than the 40-item and 30-item versions. In addition, the bifactor model suggested that the Rahim EQIseems to measure a strong general factor (emotional intelligence) with very little evidence ofthe presence of unique group factors (self-awareness, self-regulation, motivation, empathy and social skills).Practical/managerial implications: Both the reliability and factor structure of the 22-item version of the Rahim EQI have been confirmed. The bifactor structure should inform researchers and practitioners that, in order to understand emotional intelligence, it is better to conceptualise it as a unidimensional construct.Contribution/value-add: In order to identify the most appropriate conceptualisation associated with the Rahim EQI, various goodness-of-fit statistics (e.g. comparative fit indexand root mean square error of approximation) should be consulted. The impact of the removalof items from instruments should be investigated with regard to the accuracy with which the construct is to be measured. The current study has also contributed to the literature byexamining the psychometric properties of the Rahim EQI in a South African sample.

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