Is Honesty-Humility composed of honesty and humility aspects? Results of factor analyses using IPIP data

2022 ◽  
Vol 187 ◽  
pp. 111418
Author(s):  
Denis Lajoie ◽  
Jonathan Landry
Keyword(s):  
Factor Analyses

SEM study of quartz grains from recent sediments: Western Iraq

1990 ◽  
Vol 48 (4) ◽  
pp. 860-861
Author(s):  
F. Al-Kufaishi
Keyword(s):  
Factor Loading ◽  
Fault System ◽  
Clay Material ◽  
Crustal Material ◽  
Factor Analyses ◽  
Five Factors ◽  
Sem Study ◽  
Recent Sediments ◽  
Quartz Grains ◽  
Positive Factor

Two localities (Al-Marij and Laik) were selected to investigate the type of Quartz Grains from crustal material formed by evaporation of waters discharged by springs in Hit area, western Iraq, Previous studies on the crustal material (1,2) showed that the water discharged by these springs are associated with Abu-Jir fault system which run parallel to the Euphrates river,Factor analyses of the crustal and soil materials (50 samples analysed for 16 variables)(2) showed five factors; the first factor includes SiO2, Al2O3 and TiO2 with positive factor loading, and CaO, L.O.I. with negative loading and hence lead to the conclusion that the distribution of these variables is a reflection of transported clay material.This study concentrates on the use of SEM to investigate the contribution of Quartz grains found in the crustal material on two selected sites.

Factor Analyses of the College Student Questionnaires

1975 ◽  
Vol 7 (4) ◽  
pp. 225-233 ◽  
Author(s):  
Abraham A. Panackal ◽  
Alan L. Sockloff
Keyword(s):  
College Student ◽  
Factor Analyses

Barriers to Physical Activity in Adolescents

2015 ◽  
Vol 23 (2) ◽  
pp. 47-59 ◽  
Author(s):  
Nadine Langguth ◽  
Tanja Könen ◽  
Simone Matulis ◽  
Regina Steil ◽  
Caterina Gawrilow ◽  
...  
Keyword(s):  
Physical Activity ◽  
Leisure Activities ◽  
Outcome Expectations ◽  
Multidimensional Approach ◽  
Factor Analyses ◽  
Physical And Mental Health ◽  
Tailored Interventions ◽  
Long Term Consequences ◽  
Age Range

During adolescence, physical activity (PA) decreases with potentially serious, long-term consequences for physical and mental health. Although barriers have been identified as an important PA correlate in adults, research on adolescents’ PA barriers is lacking. Thus reliable, valid scales to measure adolescents’ PA barriers are needed. We present two studies describing a broad range of PA barriers relevant to adolescents with a multidimensional approach. In Study 1, 124 adolescents (age range = 12 – 24 years) reported their most important PA barriers. Two independent coders categorized those barriers. The most frequent PA barriers were incorporated in a multidimensional questionnaire. In Study 2, 598 adolescents (age range = 13 – 21 years) completed this questionnaire and reported their current PA, intention, self-efficacy, and negative outcome expectations. Seven PA barrier dimensions (leisure activities, lack of motivation, screen-based sedentary behavior, depressed mood, physical health, school workload, and preconditions) were confirmed in factor analyses. A multidimensional approach to measuring PA barriers in adolescents is reliable and valid. The current studies provide the basis for developing individually tailored interventions to increase PA in adolescents.

European Differences in Self-Perceived Multiple Intelligences

1999 ◽  
Vol 4 (3) ◽  
pp. 131-138 ◽  
Author(s):  
Adrian Furnham ◽  
Tim Rakow ◽  
Ivan Sarmany-Schuller ◽  
Filip De Fruyt
Keyword(s):  
Sex Differences ◽  
Multiple Intelligences ◽  
Factor Structure ◽  
Factor Analyses ◽  
Verbal Iq ◽  
Sex Effects ◽  
Iq Scores ◽  
Culture Differences ◽  
Three Factor

In this study, 140 Belgian, 227 British, and 177 Slovakian students estimated their own multiple IQ scores as well as that of their parents (mother and father) and siblings (first and second brother and sister). Various factor analyses yielded a clear three-factor structure replicating previous studies. A sex × culture ANOVA on self-ratings of three factors that underline the seven intelligences (verbal, numerical, cultural) showed culture and sex effects as well as interactions. As predicted, males rated their own overall IQ, though not that of their parents or siblings, higher than females did. Males also rated their numerical IQ, but not their verbal or cultural IQ, higher than females did. There were few culture differences but many interactions, nearly all caused by Slovakian females, who rated aspects of their own and their fathers' IQ higher than Slovakian males, while the pattern for the Belgians was precisely the opposite. Participants believed their verbal IQ was higher than their numerical IQ and their cultural IQ. Males believed their verbal and numerical IQ score to be fairly similar, though much higher than their cultural IQ, while females believed their verbal IQ the highest, followed by numerical and cultural IQ. Females also believed they were more intelligent than both parents. Overall results showed consistency in the sex differences in ratings across cultures but differences in level of estimated IQ possibly as a result of cultural demands for modesty.

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.

Mindfulness or Mindlessness?

2011 ◽  
Vol 27 (1) ◽  
pp. 59-64 ◽  
Author(s):  
Volkmar Höfling ◽  
Helfried Moosbrugger ◽  
Karin Schermelleh-Engel ◽  
Thomas Heidenreich
Keyword(s):  
Construct Validity ◽  
Model Fit ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Mindful Attention ◽  
Confirmatory Factor ◽  
Item Wording ◽  
Method Effects

The 15 items of the Mindful Attention and Awareness Scale (MAAS; Brown & Ryan, 2003 ) are negatively worded and assumed to assess mindfulness. However, there are indications of differences between the original MAAS and a version with the positively rephrased MAAS items (“mirror items”). The present study examines whether the mindfulness facet “mindful attention and awareness” (MAA) can be measured with both positively and negatively worded items if we take method effects due to item wording into account. To this end, the 15 negatively worded items of the MAAS and additionally 13 positively rephrased items were assessed (N = 602). Confirmatory factor analyses (CFA) models with and without regard to method effects were carried out and evaluated by means of model fit. As a result, the positively and negatively worded items should be seen as different methods that influence the construct validity of mindfulness. Furthermore, a modified version of the MAAS (MAAS-Short) with five negatively worded items (taken from the MAAS) and five positively worded items (“mirror items”) was introduced as an alternative to assess MAA. The MAAS-Short appears superior to the original MAAS. The results and the limitations of the present study are discussed.

Identification and Utility of a Short Form of the Pediatric Symptom Checklist-Youth Self-Report (PSC-17-Y)

2020 ◽  
Vol 36 (1) ◽  
pp. 56-64
Author(s):  
Paul Bergmann ◽  
Cara Lucke ◽  
Theresa Nguyen ◽  
Michael Jellinek ◽  
John Michael Murphy
Keyword(s):  
Psychosocial Functioning ◽  
Short Form ◽  
Parent Report ◽  
Self Report ◽  
Symptom Checklist ◽  
Factor Analyses ◽  
Youth Self Report ◽  
Confirmatory Factor Analyses ◽  
Pediatric Symptom Checklist ◽  
Exploratory Factor Analyses

Abstract. The Pediatric Symptom Checklist-Youth self-report (PSC-Y) is a 35-item measure of adolescent psychosocial functioning that uses the same items as the original parent report version of the PSC. Since a briefer (17-item) version of the parent PSC has been validated, this paper explored whether a subset of items could be used to create a brief form of the PSC-Y. Data were collected on more than 19,000 youth who completed the PSC-Y online as a self-screen offered by Mental Health America. Exploratory factor analyses (EFAs) were first conducted to identify and evaluate candidate solutions and their factor structures. Confirmatory factor analyses (CFAs) were then conducted to determine how well the data fit the candidate models. Tests of measurement invariance across gender were conducted on the selected solution. The EFAs and CFAs suggested that a three-factor short form with 17 items is a viable and most parsimonious solution and met criteria for scalar invariance across gender. Since the 17 items used on the parent PSC short form were close to the best fit found for any subsets of items on the PSC-Y, the same items used on the parent PSC-17 are recommended for the PSC-Y short form.

Measurement Invariance Analysis of the Parental Stress Index

2019 ◽  
Vol 35 (6) ◽  
pp. 771-778 ◽  
Author(s):  
Bernhard Piskernik ◽  
Barbara Supper ◽  
Lieselotte Ahnert
Keyword(s):  
Measurement Invariance ◽  
Parental Stress ◽  
Stress Index ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Mean Values ◽  
Confirmatory Factor ◽  
Structural Invariance ◽  
Parent Domain ◽  
Structural Levels

Abstract. While parenting research continues to compare similarities and differences in mothers’ and fathers’ behaviors based on mean values on the respective dimensions, measurement invariance as a prerequisite for these comparisons has seldom been assured. The present study thus subjected the well-known Parenting Stress Index (PSI), widely used in models of family functioning, to a rigorous measurement invariance analysis based on ( N = 214) Austrian couples with children younger than 3 years of age. We evaluated configural, metric, scalar, and uniqueness invariance on item and subscale levels, and tested for structural invariance of means and variances of the PSI parent and child domain by second-order confirmatory factor analyses. As a result, only measurement differences on the scalar levels affected the factor scores, though negligibly. On the structural levels, no differences were found on the PSI child domain across parents, but on the PSI parent domain, mothers reported more stress.

French Adaptation of the Childhood Executive Functioning Inventory (CHEXI)

2013 ◽  
Vol 29 (2) ◽  
pp. 149-155 ◽  
Author(s):  
Corinne Catale ◽  
Caroline Lejeune ◽  
Sarah Merbah ◽  
Thierry Meulemans
Keyword(s):  
Working Memory ◽  
Executive Functioning ◽  
Factor Analyses ◽  
Cognitive Measures ◽  
Factor Solution ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Rating Instrument ◽  
Functioning Inventory ◽  
Test Retest Reliability

Thorell and Nyberg (2008 ) recently developed the Childhood Executive Functioning Inventory (CHEXI), a new rating instrument for executive functioning in day-to-day life which can be divided into four subscales: working memory, planning, inhibition, and regulation. Using an exploratory factor analysis on data from young Swedish children attending kindergarten, Thorell and Nyberg (2008 ) found a two-factor solution that taps working memory and inhibition. In the present study, we explored the psychometric characteristics of the French adaptation of the CHEXI. A group of 95 parents of 5- and 6-year-old children completed the CHEXI, 87 of whom were given clinical inhibition and working memory tasks. Confirmatory factor analyses confirmed the two-factor solution based on inhibition and working memory that was identified in the original study of Swedish children. Supplementary results indicated good internal and test-retest reliability for the entire scale, as well as for the two subscales identified. Correlation analyses showed no relationship between cognitive measures and the CHEXI subscales. Possible clinical applications for the CHEXI scales are discussed.

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