No abstract

ÖzBu çalışmanın amacı üstün yetenekli çocukları belirlemede öğretmen önceliklerinin tespit edilmesidir. Bu doğrultuda alanyazına ve uzman görüşüne dayalı olarak üstün yetenekli bireylere ait özellikler belirlenmiş, ardından bu öğrencileri seçmede en önemli referans kaynağı olan öğretmenlere bu kriterler sunularak onların görüşlerine göre ölçekleme yöntemi ile önem dereceleri tespit edilmiş ve bu önem derecelerinin öğretmenlerin demografik özelliklerine göre nasıl değişkenlik gösterdiği incelenmiştir. Bu amaçla ölçekleme çalışmasında üstün yetenekli öğrencilerin özellikleri yedi ifade altında toplanmıştır. Araştırmada Ankara ili merkez ilçelerinde bulunan 785 öğretmenden bu 7 özelliği ikili karşılaştırma yaparak sıralamaları istenmiştir. Yapılan ölçekleme işlemi sonunda öğretmenlerin üstün yetenekli çocukları belirlemede ilk önce tercih ettiği özellik, çevreye ve sosyal olaylara karşı duyarlı olması, son tercih ettiği özellik ise arkadaş çevresinde liderlik özelliğine sahip olması olmuştur. Öğretmenlerin demografik özelliklerine göre önem sıralamasında ise üstün yetenekli çocukları belirlemede ilk tercih edilen özellik, çevreye ve sosyal olaylara karşı duyarlı olması olmuştur. Anahtar sözcükler: Üstün yetenekli, öğretmen öncelikleri, ikili karşılaştırma, ölçekleme Teacher Priorities on Identifying Gifted Children: A Pair-Wise Comparison Method Scaling Study AbstractThe aim of the research is to determine teacher priorities on identifying gifted children. The study is based on the principle of comparison of seven different specifications which were determined by literature and professionals majored in gifted education according to the judgments of the primary and secondary school teachers using pairwise comparison method according to various demographic variable. In that particular scaling study, specifications of gifted children have been summarized in seven statements. These seven statements have been asked 785 teachers in Ankara province to compare by using pairwise comparison. As a result of scaling study, that teacher's first specification choice for nominating students as gifted has been found as awareness to nature  Sorumlu Yazar: Uzm.,

The Kaufman Brief Intelligence Test -Second Edition (KBIT-2) is designed to measure verbal and nonverbal abilities in a wide range of individuals from 4 years 0 months to 90 years 11 months of age. This study examines both the advantages of using Mokken Scale Analysis (MSA) in intelligence tests and the hierarchical order of the items in the KBIT-2: Turkish form by estimating the parameters of each of the three subtests by testing the dimensionality of the KBIT-2 subtests by using the Invariant Item Ordering (IIO) assumptions. 2850 people participated in the study, including children, adolescents, and adults. Participants' ages varied from 48 months (4 years 0 months) to 539 months (44 years 11 months). Automated Item Selection Procedure (AISP) was applied for the assessment of unidimensionality under three different lower bounds as 0.30, 0.40, and 0.55. The items of all three subtests formed a unidimensional scale. Backward Item Selection (BIS) procedure detected seven items in the Matrices and 17 items in the Verbal Knowledge, while six items in the Riddles subtest violated the IIO criteria. KBIT-2: Reliability values obtained using MSA analysis show that all three subtests have a high degree of internal consistency. However, care should be taken when IIO assumptions do not fit the intelligence scales in the original form.

The developments and changes that have accompanied the Covid 19 pandemic have affected the educational world and all sectors. Educational institutions around the world have implemented emergency and online educational practises to ensure continuity of education as opposed to the planned distance education activities that were implemented for continuity of education. Due to the Covid 19 pandemic, face-to-face classes have been held in universities across the world for about a year in many disciplines through various platforms. In this process, determining the effectiveness of distance education practises in universities for students is critical for programmes to achieve their goals. This study aims to highlight the variables and effects that influence university students' decisions regarding the efficiency of online instruction. To this end, 821 university students were surveyed. Their willingness and attachment to online education, socioeconomic level, and gender were tested using logit regression analysis to build a model that predicts university students' decision about the efficiency of online education. Age, gender, high school graduation, willingness to Online Education, and attachment to Online Education are among the variables in the logit regression model that significantly predict university students' decision about whether they consider online education to be efficient or not. When analysing the result of classifying students whether they consider online education efficient or not using the logit regression model, 291 of the 409 students in the group who consider education efficient were classified correctly and 118 of them were classified inaccurately, with the rate of correct classification being 71.1%.

Choosing the right candidate for the job is a continuing concern within the public and private sectors. The personnel selection systems are one of the most important factors affecting the efficiency of organizations that has to be considered carefully, which aims to find the best candidate by matching qualifications and requirements of the job. Thus, psychometric assessments are used to employ the most skilled person among applicants. One of the most significant challenges of assessing candidates is the validity of the psychometric test used to assess candidate performances. Lack of evidence on scales and candidate population may mislead recruiters to hire unqualified individuals for the position. A considerable amount of literature has been published on using psychological scales for recruitment. However, much less is known about candidate’s latent profiles. This study highlights the importance of validation of scale in recruitment and seeks to reveal the latent profiles of candidates. The latent profile analysis identified two profiles for Vocational Adjustment, Social Skills, and Self-Control. The study results indicate that advanced and low Vocational Adjustment profiles show no extreme difference in both respects except for the Time management scores. However, higher profiles outperformed on Stress, Emotional Sensitivity, and Emotional Adaptation for the Social Skills domain. Like previous findings, self-consciousness scores are the highest of all subtests among low component profiles for the Self-Control domain