Factor Analysis of Some Psychometric Measures of Impulsiveness and Anxiety

1965 ◽  
Vol 16 (2) ◽  
pp. 547-554 ◽  
Author(s):  
Ernest S. Barratt
Keyword(s):  
Factor Analysis ◽  
Personality Traits ◽  
Item Analysis ◽  
Emotional Stability ◽  
Second Order ◽  
High Loading ◽  
Factor Analyses ◽  
Barratt Impulsiveness Scale ◽  
Psychometric Measures ◽  
Separate Factor

Two orthogonal personality traits or predispositions, impulsiveness and anxiety, have been invariant in five separate factor analyses. One of these analyses is presented here along with an item analysis of the Barratt Impulsiveness Scale (BIS) which has a high loading on the impulsiveness factor. The BIS has never significantly correlated with any of the various anxiety or emotional stability measures in over 50 administrations of the scale, further evidence for the invariance of these two second-order factors.

Relating Multidimensional Sets of Variables: Canonical Correlation or Factor Analysis?

1975 ◽  
Vol 36 (3) ◽  
pp. 859-862 ◽  
Author(s):  
John D. Morris ◽  
Wilson H. Guertin
Keyword(s):  
Social Sciences ◽  
Factor Analysis ◽  
Canonical Correlation ◽  
Common Factor ◽  
Research Problem ◽  
Canonical Analysis ◽  
Factor Analyses ◽  
Specific Research ◽  
The Social ◽  
Separate Factor

Several prominent multivariate psychological methodologists recommend the use of canonical correlation to relate multidimensional sets of variables. This method along with separate factor analyses of the sets is considered in relation to the questions they may be able to answer on a specific research problem. Alternate analyses of data from the social sciences illustrate the value of common factor analysis compared with canonical analysis as a method for relating the underlying constructs across sets of variables.

Factor Analysis of the Stern Activities Index

1965 ◽  
Vol 16 (3_suppl) ◽  
pp. 1223-1224
Author(s):  
Leroy A. Stone
Keyword(s):  
Factor Analysis ◽  
State University ◽  
Analysis Method ◽  
Factor Analyses ◽  
Common Variance ◽  
Male And Female ◽  
Factor Analytic ◽  
Objective Factor ◽  
Separate Factor ◽  
Kansas State University

To provide published objective factor analytic information on the Activities Index (AI), data from 1568 freshmen at Kansas State University were used in two separate factor analyses (male and female). These analyses were based on the powered vector factor analysis method. Nine orthogonal factors emerged for male and 8 orthogonal for female Ss. Fairly large amounts of total common variance were accounted for by both analyses (63.5% for males and 56.9% for females). About half of Stern's factors (1963) reappeared in this study.

First- and Second-Order Factor Analyses of the Behavior Problem Checklist with Behaviorally Disordered Pupils

1987 ◽  
Vol 12 (3) ◽  
pp. 193-199 ◽  
Author(s):  
Jerry Luebke ◽  
Michael H. Epstein ◽  
Douglas Cullinan
Keyword(s):  
Factor Analysis ◽  
Behavior Problem ◽  
Broad Band ◽  
Second Order ◽  
Factor Analyses ◽  
Behaviorally Disordered ◽  
Order Analysis ◽  
First Order ◽  
Order Factor ◽  
Problem Checklist

Teacher completed Behavior Problem Checklists on 730 behaviorally disordered pupils were subjected to first- and second-order factor analyses. The first-order factor analysis replicated prior research with the BPC; the second-order analysis replicated findings with other instruments. Sex and age comparisons were examined in relation to the two broad-band factors that were identified.

A Comparative Factor Analysis of Attitudes toward Societal Relations of the Elderly

1978 ◽  
Vol 8 (4) ◽  
pp. 277-291 ◽  
Author(s):  
John Skoglund
Keyword(s):  
Factor Analysis ◽  
The Elderly ◽  
Second Order ◽  
Factor Analyses ◽  
Old People ◽  
The Third ◽  
Order Factor ◽  
Age Integration ◽  
High Welfare ◽  
Societal Relations

The major objectives of this study were to explore the factorial dimensionality of forty-two additudinal items designed to measure attitudes concerning old people, and to compare these factor structures in two groups. Respondents were divided into a younger group (370 participants aged 30–65) and an older group (337 participants aged 70 and 75). Factor analyses were run independently for each group, providing obliquely rotated factors. Six pairs of factors were judged to be congruent and sufficiently reliable: Work, Welfare, Social Work, Dwelling, Gatherings, and Administratorship. One postulated factor emerged in the older group alone and was named Housekeeping, the conceptual counterpart of which split into two conjugate factors in the younger group. Second-order factor analyses yielded two comparable sets of three second-order factors: Social Activities and Self-Care Ability, whereas the third factor connected high welfare with age-segregated dwelling (and low welfare with age-integration).

Towards a Validation of Multiple Features in the Assessment of Emotions

1998 ◽  
Vol 14 (3) ◽  
pp. 202-210 ◽  
Author(s):  
Suzanne Skiffington ◽  
Ephrem Fernandez ◽  
Ken McFarland
Keyword(s):  
Factor Analysis ◽  
Pilot Study ◽  
Cognitive Appraisal ◽  
Negative Emotions ◽  
The Self ◽  
Factor Analyses ◽  
Data Set ◽  
Multiple Features ◽  
Action Tendency ◽  
Intensity Range

This study extends previous attempts to assess emotion with single adjective descriptors, by examining semantic as well as cognitive, motivational, and intensity features of emotions. The focus was on seven negative emotions common to several emotion typologies: anger, fear, sadness, shame, pity, jealousy, and contempt. For each of these emotions, seven items were generated corresponding to cognitive appraisal about the self, cognitive appraisal about the environment, action tendency, action fantasy, synonym, antonym, and intensity range of the emotion, respectively. A pilot study established that 48 of the 49 items were linked predominantly to the specific emotions as predicted. The main data set comprising 700 subjects' ratings of relatedness between items and emotions was subjected to a series of factor analyses, which revealed that 44 of the 49 items loaded on the emotion constructs as predicted. A final factor analysis of these items uncovered seven factors accounting for 39% of the variance. These emergent factors corresponded to the hypothesized emotion constructs, with the exception of anger and fear, which were somewhat confounded. These findings lay the groundwork for the construction of an instrument to assess emotions multicomponentially.

Beck Hopelessness Scale (BHS)

2015 ◽  
Vol 31 (1) ◽  
pp. 31-37 ◽  
Author(s):  
Paolo Iliceto ◽  
Emanuele Fino
Keyword(s):  
Second Order ◽  
Personality Questionnaire ◽  
Factor Analyses ◽  
Factor Solution ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Beck Hopelessness Scale ◽  
Order Factor ◽  
Model Invariance ◽  
Three Factor

The Beck Hopelessness Scale (BHS) is an instrument for assessing cognitive thoughts among suicidal persons. Previous studies have identified different factor structures of the BHS. However, results were not conclusive. The aim of this study was to test the factor structure of the BHS in a sample of Italian individuals (N = 509) from the community, and secondarily to investigate correlations between the BHS, depression (Beck Depression Inventory Second Edition), and personality traits (Zuckerman-Kuhlman-Aluja Personality Questionnaire). Following recommendations of previous investigations, we utilized a 5-point response format. We applied a second-order Confirmatory Factor Analyses and tested for the model invariance. The results suggest that besides a single second-order factor, a second-order three-factor solution is also reasonable, in line with Beck’s theorization.

The Dark Tetrad

2015 ◽  
Vol 36 (4) ◽  
pp. 228-236 ◽  
Author(s):  
Janko Međedović ◽  
Boban Petrović
Keyword(s):  
Personality Traits ◽  
Antisocial Behavior ◽  
Second Order ◽  
The Other ◽  
Negative Pole ◽  
Latent Space ◽  
Order Factor

Abstract. Machiavellianism, narcissism, and psychopathy are personality traits understood to be dispositions toward amoral and antisocial behavior. Recent research has suggested that sadism should also be added to this set of traits. In the present study, we tested a hypothesis proposing that these four traits are expressions of one superordinate construct: The Dark Tetrad. Exploration of the latent space of four “dark” traits suggested that the singular second-order factor which represents the Dark Tetrad can be extracted. Analysis has shown that Dark Tetrad traits can be located in the space of basic personality traits, especially on the negative pole of the Honesty-Humility, Agreeableness, Conscientiousness, and Emotionality dimensions. We conclude that sadism behaves in a similar manner as the other dark traits, but it cannot be reduced to them. The results support the concept of “Dark Tetrad.”

Subclinical Sadism and the Dark Triad

2019 ◽  
Vol 40 (3) ◽  
pp. 127-133 ◽  
Author(s):  
Laura K. Johnson ◽  
Rachel A. Plouffe ◽  
Donald H. Saklofske
Keyword(s):  
Factor Analysis ◽  
University Students ◽  
Personality Traits ◽  
Exploratory Factor Analysis ◽  
Convergent Validity ◽  
Dark Triad ◽  
Antisocial Personality ◽  
Factor Solution ◽  
Online Study ◽  
Antisocial Personality Traits

Abstract. The Dark Triad is a constellation of three antisocial personality traits: Machiavellianism, narcissism, and psychopathy. Recently, researchers have introduced a “Dark Tetrad” that includes subclinical sadism, although others suggest considerable overlap between psychopathy and sadism. To clarify the position of sadism within the Dark Triad, an online study was conducted with 615 university students. Exploratory factor analysis revealed that a six-factor solution fit the data best, representing Machiavellianism, psychopathy, physical sadism, verbal sadism, narcissism, and vicarious sadism. Furthermore, convergent validity was supported through sadism’s correlations with the HEXACO personality traits. The results support sadism’s inclusion within the Dark Tetrad as a unique construct but with some conceptual overlap with psychopathy.

scholarly journals Validation of the Patient-Centred Care Competency Scale Instrument for Finnish Nurses

2021 ◽  
Vol 11 (6) ◽  
pp. 583
Author(s):  
Riitta Suhonen ◽  
Katja Lahtinen ◽  
Minna Stolt ◽  
Miko Pasanen ◽  
Terhi Lemetti
Keyword(s):  
Factor Analysis ◽  
Root Mean Square ◽  
Goodness Of Fit ◽  
Item Analysis ◽  
Healthcare Delivery ◽  
Mean Square ◽  
Cronbach’S Alpha ◽  
Patient Centred Care ◽  
Cronbach's Alpha ◽  
Confirmatory Factor

Patient-centredness in care is a core healthcare value and an effective healthcare delivery design requiring specific nurse competences. The aim of this study was to assess (1) the reliability, validity, and sensitivity of the Finnish version of the Patient-centred Care Competency (PCC) scale and (2) Finnish nurses’ self-assessed level of patient-centred care competency. The PCC was translated to Finnish (PCC-Fin) before data collection and analyses: descriptive statistics; Cronbach’s alpha coefficients; item analysis; exploratory and confirmatory factor analyses; inter-scale correlational analysis; and sensitivity. Cronbach’s alpha coefficients were acceptable, high for the total scale, and satisfactory for the four sub-scales. Item analysis supported the internal homogeneity of the items-to-total and inter-items within the sub-scales. Explorative factor analysis suggested a three-factor solution, but the confirmatory factor analysis confirmed the four-factor structure (Tucker–Lewis index (TLI) 0.92, goodness-of-fit index (GFI) 0.99, root mean square error of approximation (RMSEA) 0.065, standardized root mean square residual (SRMR) 0.045) with 61.2% explained variance. Analysis of the secondary data detected no differences in nurses’ self-evaluations of contextual competence, so the inter-scale correlations were high. The PCC-Fin was found to be a reliable and valid instrument for the measurement of nurses’ patient-centred care competence. Rasch model analysis would provide some further information about the item level functioning within the instrument.

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