Introduction to Psychometric Assessment

Here, four learning models, namely, Logistic Regression, Random Forest, Support Vector Machine, and Recurrent Neural Networks (RNN), are implemented on two different types of correlation matrices: Correlation Matrix (static connectivity) and Time-resolved Correlation Matrix (dynamic connectivity), to classify them either on their psychometric assessment or the effect of therapy.

Here, four learning models, namely, Logistic Regression, Random Forest, Support Vector Machine, and Recurrent Neural Networks, are implemented on the correlation matrix data to classify them either on their psychometric assessment or the effect of therapy; The EEG data is trail-based/event-related.

Our study shows that even otherwise asymptomatic COVID-19 subjects have cognitive deficits in certain subdomains and suggests the need for a detailed psychometric assessment especially in the elderly population.

after an overnight fasting, a stool specimen collection for the analysis of microbiota composition, and a detailed psychometric assessment for depression, mania, impulsivity and cognitive abilities.

Given the lack of scales with a robust psychometric assessment of self-efficacy related to obesity in early adolescence, we aimed to obtain an instrument with high-quality validity and reliability items.

Future studies should consider robust psychometric assessments to ensure the accuracy of the instrument with the target population.

Research on smartphone distraction and its association with problematic smartphone use is still scarce and there is no available psychometric assessment tool to assess this cognitive and emotive process parsimoniously.

This paper used scoping review methodology to illustrate the overlap between narrative and psychometric assessment tools, comparing four narrative tools against eight psychometric tools.

A multivariate linear regression between the percolation centrality values for each of the nodes and psychometric assessment scores reveals that models Mini-Mental State Examination (MMSE) scores performed better than ones with Neuropsychiatric Inventory Questionnaire (NPIQ) scores as the target variable.

Methods The five measures used were: (1) evaluation of the financial return on investment, (2) analysis of the mean differences between 360° psychometric assessment scores before and after the programme, (3) a survey utilising a focused interview and a follow-up questionnaire, (4) a post-programme questionnaire examining skills acquired and (5) a workshop evaluation using a net promoter score.

In addition, two psychometric assessment measures were used to define who to include or exclude from the study sample.

As treatment models continue to be created, refined, and disseminated, the recent development and validation of psychometric assessment measures for cPTSD (the International Trauma Questionnaire; ITQ) and DTD (the Developmental Trauma Disorder Semi-structured Interview; DTD-SI) is a crucial catalyst for rigorous outcome research that can lead to a robust cPTSD and DTD treatment outcome evidence-base and a precision health approach to treatment.

The psychometric assessment included MINI-6, HAMD-17, PHQ-9, PAID, WHO-5.

The psychometric assessment included Beck Suicidal Ideation Scale (BSS), Zagazig Depression Scale (ZDS), Hamilton Anxiety Rating Scale (HAM-A), and Structured Clinical Interview for DSM-IV-TR Axis II Personality Disorders (SCID-II) for assessment of CSR, and comorbid depression, anxiety and personality disorders, respectively.