QUEST+: A general multidimensional Bayesian adaptive psychometric method

IntroductionMaxillofacial surgeons and dentists often deal with the phenomenon of temporomandibular pain-dysfunction syndrome–painful condition of maxillofacial area without clear organic pathology. Psychiatric studies of this disorder are almost lacking. The aim of this study was to determine the prevalence of psychiatric disorders in patients with temporomandibular pain-dysfunction syndrome and to define the psychiatric diagnosis (ICD-10).MethodsStudy sample consists of 57 patients (44 women and 13 men) with temporomandibular pain-dysfunction syndrome aged older than 18 years, who gave inform consent. The study used clinical psychopathological, psychometric (HADS, HDRS, State-Trait Anxiety Inventory, Hypochondria Whitley Index, Visual Analog Scale for Pain).ResultsPsychiatric disorders were revealed in 48 patients (84.2%) with temporomandibular pain-dysfunction syndrome–39 women and 9 men aged 18-65 years (mean age 39.6 ± 15.4 years). Affective disorders was diagnosed in 56.3%, personality disorders in 20.8%, schizotypal personality disorder in 12.5% and schizophrenia in 10.4%. Among affective pathology mild and moderate depressive episodes prevailed (59.3%). The severity of pain (VAS) in patients with affective disorders was higher than in patients with other psychiatric conditions.ConclusionThis study shows high prevalence of psychiatric disorders in patients with temporomandibular pain-dysfunction syndrome and proves the feasibility of a psychiatrist participate in the complex treatment of these patients. The use of psychometric method allows to improve the timeliness of the detection of patients who require further clinical psychopathological examination in order to determine the need of pharmacotherapy.Disclosure of interestThe authors have not supplied their declaration of competing interest.

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Studying the coherence of studentsʼ portrayed representations of the atomic structure - Connections with conceptions and misconceptions

Science Education International ◽

10.33828/sei.v32.i2.10 ◽

2021 ◽

Vol 32 (2) ◽

pp. 164-171

Author(s):

Nikolaos Zarkadis ◽

◽

Dimitrios Stamovlasis ◽

George Papageorgiou ◽

◽

...

Keyword(s):

Latent Class Analysis ◽

Atomic Structure ◽

Latent Class ◽

Theory And Practice ◽

Particle Model ◽

Nuclear Model ◽

Education Students ◽

Psychometric Method ◽

Drawing Tasks ◽

And Behavior

The present study investigated the association of students’ fundamental ideas and misconceptions about ontological features of atom identity and behavior with the formation of their portrayed representations of the atomic structure. Participants (n = 421) were secondary education students in the eighth, tenth, and twelfth grades. Students’ portrayed representations of the atomic structure were accessed through drawing tasks, while their understanding of the ontological features of atom was measured through a specially designed questionnaire. Latent Class Analysis (LCA), a psychometric method, was applied to the elementary features of the portrayed representations to classify them and test the potential coherence of their representations regarding atomic structure. The LCA revealed three latent classes, which showed a relative coherence in three of the anticipated models, “Particle model,” “Nuclear model,” and “Bohrʼs model.” Moreover, students’ conceptions and misconception about the ontological features of atom were used as covariates in the LCA and their effects on the above-mentioned class-memberships were estimated. Results indicated a significant effect of students’ conceptions of the atomic ontological features on their portrayed representations of the atomic structure. Implications for theory and practice are discussed.

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A Perceptual Approach for Image Representation and Retrieval

Computer Vision for Multimedia Applications ◽

10.4018/978-1-60960-024-2.ch008 ◽

2011 ◽

pp. 121-141

Author(s):

Noureddine Abbadeni

Keyword(s):

Image Retrieval ◽

Image Representation ◽

Rank Correlation ◽

Human Perception ◽

Image Data ◽

Content Based Image Retrieval ◽

Data Set ◽

Psychometric Method ◽

Results Merging ◽

Spearman Rank Correlation Coefficient

This chapter describes an approach based on human perception to content-based image representation and retrieval. We consider textured images and propose to model the textural content of images by a set of features having a perceptual meaning and their application to content-based image retrieval. We present a new method to estimate a set of perceptual textural features, namely coarseness, directionality, contrast and busyness. The proposed computational measures are based on two representations: the original images representation and the autocovariance function (associated with images) representation. The correspondence of the proposed computational measures to human judgments is shown using a psychometric method based on the Spearman rank-correlation coefficient. The set of computational measures is applied to content-based image retrieval on a large image data set, the well-known Brodatz database. Experimental results show a strong correlation between the proposed computational textural measures and human perceptual judgments. The benchmarking of retrieval performance, done using the recall measure, shows interesting results. Furthermore, results merging/fusion returned by each of the two representations is shown to allow significant improvement in retrieval effectiveness.

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Use of a psychometric method in triaxial tests on an unsaturated loam (in French)

International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts ◽

10.1016/0148-9062(80)91443-6 ◽

1980 ◽

Vol 17 (3) ◽

pp. 45

Keyword(s):

Triaxial Tests ◽

Psychometric Method

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An Examination of A New Psychometric Method for Optimizing Multi–Faceted Assessment Instruments in the Context of Trait Emotional Intelligence

European Journal of Personality ◽

10.1002/per.1976 ◽

2015 ◽

Vol 29 (1) ◽

pp. 42-54 ◽

Cited By ~ 14

Author(s):

A. B. Siegling ◽

K. V. Petrides ◽

Khatuna Martskvishvili

Keyword(s):

Emotional Intelligence ◽

European Association ◽

Assessment Instruments ◽

Trait Emotional Intelligence ◽

Personality Psychology ◽

Psychological Attributes ◽

Stepwise Method ◽

Psychometric Method ◽

Using Data ◽

Trait Emotional Intelligence Questionnaire

Driven by the challenge of representing and measuring psychological attributes, this article outlines a psychometric method aimed at identifying problem facets. The method, which integrates theoretical and empirical steps, is applied in the context of the construct of trait emotional intelligence (trait EI), using data from six different samples (N = 1284) collected across Europe. Alternative representations of the trait EI variance, derived from the outcome variables used in previous validation studies of the Trait Emotional Intelligence Questionnaire, were regressed on the 15 trait EI facets using the stepwise method. The analyses revealed five facets, which did not occupy unique construct variance in any of the six samples. As expected, a composite of the remaining 10 facets consistently showed greater construct validity than the original 15–facet composite. Implications for construct and scale development are discussed, and directions for further validation of the method and for its application to other constructs are provided. © 2014 The Authors. European Journal of Personality published by John Wiley & Sons Ltd on behalf of European Association of Personality Psychology.

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THE STANFORD-BINET TEST AS A PSYCHOMETRIC METHOD

Journal of Personality ◽

10.1111/j.1467-6494.1937.tb02244.x ◽

1937 ◽

Vol 6 (2) ◽

pp. 99-113 ◽

Cited By ~ 4

Author(s):

P. E. VERNON

Keyword(s):

Psychometric Method

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Psychological condition of the children who were in quarantine for COVID-19 pandemic

Environment & Health ◽

10.32402/dovkil2021.03.049 ◽

2021 ◽

Vol 100 (3) ◽

pp. 49-55

Author(s):

E.I. Stepanova ◽

◽

V.A. Poznysh ◽

V. Yu. Vdovenko ◽

◽

...

Keyword(s):

Sleep Quality ◽

Physical Aggression ◽

Indirect Aggression ◽

Projective Test ◽

Reactive Anxiety ◽

Long Time ◽

Psychometric Method ◽

Personal Anxiety ◽

Symptom Complex ◽

High Level

Objective: We determined the features of psychoemotional condition of the children who wereunder quarantine restrictions for COVID-19pandemic for a long time. Methods and scope of research:We carried out the assessment of the psychoemotional condition of 52 adolescents who were in quarantine forCOVID-19 pandemic. The number of girls and boys among the surveyed was the same - 26 children of each gender. A "non-existent animal" projective test was used to assess the psychoemotional sphere of the children. We appliedthe psychometric method by Ch.D. Spielberg, Yu.L. Haninto determine the reactive anxiety (RА) and personal anxiety (PA). The questionnaire by A. Bass, A. Darki was used to single out the various aspects of the symptom complex of aggression and to calculate the index of aggression (IA) and the index of hostility (IH). Sleep quality was assessed with the help of the Pittsburgh Questionnaire. Results and discussion: Assessment of the psychoemotional condition of the children, who were in quarantine for COVID-19, showed the significant violationsin the majority of them (95.15%), which were characterized by the manifestations of anxiety (78.85%), aggression (59.62%) and exhaustion (15.38%). A high level of anxiety was found to be more often in the girls (25.00%), while in the boys, it was registered almost 2 times less (11.54%), and on the contrary, a high level of aggression in the combination with anxiety orwithout itwas determined more often in the boys (26.92%) than in the girls (13.46%). The frequency of exhaustionsymptom complex did not depend on gender. A more detailed description of the level of anxiety,performed with the help of psychometric methods Ch.D. Spielberg, Yu.L. Hanin, confirmed that the high levels of both personal and reactive anxiety were more inhering in the girls. Assessment ofthe forms of aggressive behavior showed that the manifestations of physical aggression and negativism were the most typical features for the boys, while the indirect aggression, resentment and guilt were observed in the girls more often. Thehighlevels of IA werefoundtooccur almost 3 times more oftenin theboys than in thegirls, whilethehighlevel of IH wasdetected equally often both inthegirls and intheboys. In the children who were in quarantine for COVID-19, psychoemotional conditions were often accompanied by sleep disorders, at the same time,they were observed more often in the girls than in the boys.

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