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1.
PLoS One ; 14(10): e0223504, 2019.
Article in English | MEDLINE | ID: mdl-31618223

ABSTRACT

The Machiavellian IV [1] instrument, developed almost 50 years ago to measure trait Machiavellianism and still in wide use in personality research, uses item wording that is not gender-neutral, makes use of idiomatic expressions, and includes archaic references. In this two-sample study, exploratory factor analysis (EFA) was conducted on one sample to examine the structure of responses to the Mach IV. In an independent second sample the resulting EFA structure was analyzed using confirmatory factor analysis-based measurement equivalence/invariance (ME/I) tests in a control group with the original archaic items and a treatment group with eight items rewritten in a more modern vernacular. Specific model testing steps [2] and statistical tests [3] were applied in a bottom-up approach [4] to ME/I tests on these two versions of the Mach IV. The two versions were found to have equal form, equal factor loadings, but unequal indicator error variances. Subsequent item-by-item tests of error invariance resulted in substantial decrements to fit for three revised items suggesting that the error associated with these items was not equal across the two versions.


Subject(s)
Factor Analysis, Statistical , Machiavellianism , Models, Theoretical , Adolescent , Adult , Female , Humans , Male , Young Adult
2.
PLoS One ; 13(12): e0208331, 2018.
Article in English | MEDLINE | ID: mdl-30513127

ABSTRACT

The Narcissistic Personality Inventory (NPI) has greatly facilitated the scientific study of trait narcissism. However, there is great variability in the reported reliability of scores on the NPI. This study meta-analyzes coefficient alpha for scores on the NPI and its sub-scales (e.g. entitlement) with transformed alphas weighted by the inverse of the variance of alpha. Three coders evaluated 1213 individual studies for possible inclusion and determined that 1122 independent samples were suitable for coding on 12 different characteristics of the sample, scale, and study. A fourth author cross-coded 15 percent of these samples resulting in 85 percent overall agreement. In the independent samples, comprised of 195,038 self-reports, the expected population coefficient alpha for the NPI was .82. The population value for alpha on the various sub-scales ranged from .48 for narcissistic self-sufficiency to .76 for narcissistic leadership/authority. Because significant heterogeneity existed in coded study alphas for the overall NPI, moderator tests and an explanatory model were also conducted and reported. It was found that longer scales, the use of a Likert response scale as opposed to the original forced choice response format, higher mean scores and larger standard deviations on the scale, as well as the use of samples with a larger percentage of female respondents were all positively related to the expected population alpha for scores on the overall NPI. These results will likely aid researchers who are concerned with the reliability of scores on the NPI in their research on non-clinical subjects.


Subject(s)
Personality Inventory , Female , Humans , Narcissism , Personality Disorders , Psychometrics
3.
Psychol Rep ; 109(2): 603-25, 2011 Oct.
Article in English | MEDLINE | ID: mdl-22238859

ABSTRACT

Core self-evaluations have been recently proposed as indicating positive self-concept and as being predictive of various forms of subjective wellbeing. In an effort to further validate the Core Self-Evaluations Scale (CSES), structural equation modeling (SEM) was employed in three independent samples of university students to examine the extent to which scores on the Core Self-Evaluations Scale predicted two measures of university satisfaction. Good fit was found for models that also controlled for status in college, student major, class satisfaction, life satisfaction, college grade point average, and overall grade fairness. Statistically significant relationships corrected for attenuation by SEM between scores on the Core Self-Evaluations Scale and university satisfaction range from .24 to .37.


Subject(s)
Personality Inventory/statistics & numerical data , Self Concept , Achievement , Adult , Female , Humans , Individuality , Male , Personal Satisfaction , Psychometrics/statistics & numerical data , Reproducibility of Results , Students/psychology , Young Adult
4.
Health Care Manage Rev ; 32(4): 352-9, 2007.
Article in English | MEDLINE | ID: mdl-18075444

ABSTRACT

BACKGROUND: Due to changes in social norms, funding initiatives, and other environmental factors, the business of hospice care has significantly evolved over the past 40 years. There has been an influx of for-profit firms, increased consolidation, and significant funding changes. We have witnessed a growth in utilization rates, an increase in insurance coverage, and improved governmental funding. Hospice care organizations have responded to these pressures by pursuing more efficient and innovative business practices. PURPOSE: Drawing upon institutional theory, this study seeks to address whether quality of care provided to hospice patients is affected as organizations respond to environmental pressures for innovative and efficient business practices. METHODOLOGY/APPROACH: This study uses hierarchical regression to analyze data from 111 hospices in California. FINDINGS: Innovative practices are positively related to quality of care. However, efficient practices have no significant relationship with quality of care. PRACTICAL IMPLICATIONS: It appears that incorporating innovative practices is positively related to quality of care. Although cost containment may be necessary for continued survival, efficiency improvement efforts do not seem to lead to improved quality of care.


Subject(s)
Efficiency, Organizational , Hospices/organization & administration , Operations Research , Organizational Innovation , Quality of Health Care/organization & administration , California , Health Care Sector/organization & administration , Health Care Sector/trends , Health Care Surveys , Hospices/standards , Hospices/trends , Humans , Organizational Culture , Palliative Care , Quality of Health Care/trends , Regression Analysis , Social Change , Social Environment
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