Despite years of refinement and improvement to questionnaire design, the need remains to identify effective, but 'user-friendly' questioning procedures to predict behaviour, without compromising predictive performance. Questionnaires developed to predict behaviour typically use an attitudinal approach. However, those types of questionnaires are…

The current study examined the degree to which applicants applying for medical internships distort their responses to personality tests and assessed whether this response distortion led to reduced predictive validity. The applicant sample (n = 530) completed the NEO Personality Inventory whilst applying for one of 60 positions as first-year…

Background: The LIRIK, an instrument for the assessment of child safety and risk, is designed to improve assessments by guiding professionals through a structured evaluation of relevant signs, risk factors, and protective factors. Objective: We aimed to assess the interrater agreement and the predictive validity of professionals' judgments made…

Obsessive-compulsive disorder (OCD) in adolescents is understudied in Italy. This study evaluated the Italian Obsessive Compulsive Inventory--Child Version (OCI-CV) and its predictive validity on OCD symptoms at 1-year-follow-up, an aspect that was not investigated by previous international research. Use of OCI-CV in schools might enhance early…

Although temporal issues affecting organizations and leaders have been researched, time orientation (preference for one or more of the present, past, and future time frames) and visioning ability of change agents within organizations remain open for additional investigation. This exploratory survey study compared self-reported time orientation…

Suprasegmental features have received growing attention in the field of oral assessment. In this article we describe a set of computer algorithms that automatically scores the oral proficiency of non-native speakers using unconstrained English speech. The algorithms employ machine learning and 11 suprasegmental measures divided into four groups…

Medical specialties require decidedly different abilities, skills, and talents; which results in divergent experiences, lifestyles, skill sets, and income levels. To help medical students select their preferred medical specialty and alleviate shortages in medical specialty staffing, US medical schools and associations invest time and money in…

To refine selective admission models, we investigate which measure of prior achievement has the best predictive validity for academic success in university. We compare the predictive validity of three core high school subjects to the predictive validity of high school grade point average (GPA) for academic achievement in a liberal arts university…

This study was designed to validate a multidimensional structure of writing self-efficacy in English as a foreign language contexts, conceptualized in self-regulated learning theory and social cognitive theory. The Second Language Writer Self-Efficacy Scale was developed and evaluated through a series of rigorous validation procedures. The…

A common methodological problem in the evaluation of the predictive validity of selection methods, e.g. in educational and employment selection, is that the correlation between predictor and criterion is biased. Thorndike's (1949) formulas are commonly used to correct for this biased correlation. An alternative approach is to view the selection…

In the UK, students who want to progress to higher education have a number of possible pathways at age 16. The most common of these is traditional, academic focussed, 'A' levels, but increasingly students are taking alternative qualifications (e.g. BTECs, IB, Pre-U). The focus of this research is to infer which (if any) of these qualifications are…

For today's societies trying to cope with the current globally increased competition, existence of individuals who can take risks, solve problems and adopt changes an innovation has gained more importance when compared to the past. This situation brings responsibility to educational institutions for increasing the number of innovative individuals…

Social skills and academic competence are key factors influencing children's development and functioning across early childhood and through adolescence. There is a great need to understand the longitudinal patterns of growth in social and academic skills in order to further inform intervention, particularly for at-risk groups such as individuals…

Online education continues to become an increasingly prominent part of higher education, but many students struggle in distance courses. For this reason, there has been considerable interest in predicting which students will succeed in online courses and which will receive poor grades or drop out prior to completion. Effective intervention depends…

Purpose: The current study aimed to compare traditional logistic regression models with machine learning algorithms to investigate the predictive ability of (a) communication performance at 3 years old on language outcomes at 10 years old and (b) broader developmental skills (motor, social, and adaptive) at 3 years old on language outcomes at 10…