A note on Cohen's profile similarity coefficientr c

1984 ◽  
Vol 1 (1) ◽  
pp. 125-131 ◽  
Author(s):  
Sampo V. Paunonen
Keyword(s):  
2020 ◽  
Vol 41 (4) ◽  
pp. 219-227 ◽  
Author(s):  
Bojana M. Dinić ◽  
Tara Bulut Allred ◽  
Boban Petrović ◽  
Anja Wertag

Abstract. The aim of this study was to evaluate psychometric properties of three sadism scales: Short Sadistic Impulse Scale (SSIS), Varieties of Sadistic Tendencies (VAST, which measures direct and vicarious sadism), and Assessment of Sadistic Personality (ASP). Sample included 443 participants (50.1% men) from the general population. Reliability based on internal consistency of all scales was good, and results of Confirmatory Factor Analysis (CFA) showed that all three scales had acceptable fit indices for the proposed structure. Results of Item Response Theory (IRT) analysis showed that all three scales had higher measurement precision (information) in above-average scores. Validity of the scales was supported through moderate to high positive correlations with the Dark Triad traits, especially psychopathy, as well as positive correlations with aggressiveness and negative with Honesty-Humility. Moreover, results of hierarchical regression analysis showed that all three measures of direct, but not vicarious sadism, contributed significantly above and beyond other Dark Triad traits to the prediction of increased positive attitudes toward dangerous social groups. The profile similarity index showed that the SSIS and the ASP were highly overlapping, while vicarious sadism seems distinct from other sadism scales.


1982 ◽  
Vol 50 (3_suppl) ◽  
pp. 1071-1076 ◽  
Author(s):  
Glenn D. Walters ◽  
Gary S. Solomon

An attempt was made to identify the empirical correlates of an MMPI configuration involving Scales 4 (Pd), 5 (Mf), and 6 (Pa) in a sample of 21 female psychiatric outpatients. Two sets of comparisons were derived. In the first comparison, 21 4-5-6 and control patients were matched on age and contrasted on selected behavioral and self-report measures. Results suggested that 4-5-6 patients displayed greater ambivalence, depression, and lack of social skills than control patients. In the second comparison, 18 4-5-6 and control females were matched on profile similarity (excluding Scales 4, 5, and 6) using the D2 procedure and then compared on various behavioral and self-report measures. This comparison showed fewer and somewhat different (indecision, need for affection) correlates relative to the age-matched group. These findings are discussed in terms of implementing appropriate procedures when defining control groups for the study of MMPI profile patterns.


Psychometrika ◽  
1955 ◽  
Vol 20 (4) ◽  
pp. 289-297 ◽  
Author(s):  
Chester W. Harris

1966 ◽  
Vol 18 (2) ◽  
pp. 440-442 ◽  
Author(s):  
James Neal Butcher ◽  
David M. Messick

This investigation was directed toward studying the relationship between parent-child personality similarity and adolescent aggression and to illustrate the utility of a general method of assessing profile similarity suggested by Overall (1964). Peer and teacher ratings of aggression were used to group eighth-grade boys on manifest aggression. Ss and their parents (volunteers) were administered the MMPI. The d∗ measure of dissimilarity was used to compare parent-child profile configurations in the three aggression groups. Although the small and biased sample preclude major conclusions, the results support the use of the d∗ statistic for assessing MMPI profile similarity and suggest that further work in the area of parent-child personality similarity might be fruitful.


2019 ◽  
Author(s):  
Gabriel Loewinger ◽  
Prasad Patil ◽  
Kenneth Kishida ◽  
Giovanni Parmigiani

Prediction settings with multiple studies have become increasingly common. Ensembling models trained on individual studies has been shown to improve replicability in new studies. Motivated by a groundbreaking new technology in human neuroscience, we introduce two generalizations of multi-study ensemble predictions. First, while existing methods weight ensemble elements by cross-study prediction performance, we extend weighting schemes to also incorporate covariate similarity between training data and target validation studies. Second, we introduce a hierarchical resampling scheme to generate pseudo-study replicates (“study straps”) and ensemble classifiers trained on these rather than the original studies themselves. We demonstrate analytically that existing methods are special cases. Through a tuning parameter, our approach forms a continuum between merging all training data and training with existing multi-study ensembles. Leveraging this continuum helps accommodate different levels of between-study heterogeneity.Our methods are motivated by the application of Voltammetry in humans. This technique records electrical brain measurements and converts signals into neurotransmitter concentration estimates using a prediction model. Using this model in practice presents a cross-study challenge, for which we show marked improvements after application of our methods. We verify our methods in simulations and provide the studyStrap R package.


2011 ◽  
Vol 29 (13) ◽  
pp. 1425-1434 ◽  
Author(s):  
David C. Hughes ◽  
Stephen H. Day ◽  
Ildus I. Ahmetov ◽  
Alun G. Williams

Molecules ◽  
2020 ◽  
Vol 25 (21) ◽  
pp. 5173
Author(s):  
Katarzyna Kazimierska ◽  
Wioletta Biel ◽  
Robert Witkowicz

The aims of the present work are to estimate the nutritional value and to evaluate and compare the levels of macroelements (Ca, P, K, Na, Mg), microelements (Fe, Zn, Mn, Cu), heavy metals (Co, Cd, Pb, Mo, Cr, Ni), and their ratios in extruded complete foods for adult dogs, their compatibility with nutritional guidelines, as well as food profile similarity. Basic composition was determined according to Association of Official Analytical Chemists (AOAC). Analyses for elements were performed using an atomic absorption spectrometer. All the evaluated dry dog foods met the minimum recommended levels for protein and fat. Eighteen tested dog foods (60%) did not meet at least one recommendation of nutritional guidelines. Four dog foods exceeded the legal limit of Fe and five foods exceeded the legal limit of Zn; in one of them, Zn level was almost twice higher. Dog foods with insect protein exceeded the legal limit for Mn content. Eight dog foods had an inappropriate Ca:P ratio. Heavy metals were below detection limit in all analyzed dog foods. The results seem to show the need for regular feed analyses of the elemental composition in raw materials before introducing supplementation and for the monitoring of the mineral composition of finished pet food.


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