Teachers' decisions to nominate the students whom they think are gifted and talented can seriously be negatively influenced by their possible prejudices and lack of knowledge. In this respect, it is considered that it is important to compare the teachers' nomination decisions with the tests used to officially identify gifted and talented students. In this study, it is aimed to identify the relationship between the teachers’ nominations and the results from the Raven Standard Progressive Matrices (RSPM) of students who are identified as gifted or non-gifted. Also, the effects of gender on teacher’s nominations or RSPM results have been examined. The relational survey model, one of the quantitative research models, was used in the research. The number of students to be included in the research was determined by using stratified sampling, which is one of the probabilistic sampling methods. Accordingly, 385 students studying from the 1st grade to the 4th grade in the selected schools formed the sample of the research. In this study, RSPM was used to determine whether students are gifted or not. Teachers were also given a form in which they could list the students' names, surnames, and gender to nominate the gifted students. Chi-square test was used in the analysis of the data obtained from the research. If the relationship was significant as a result of the chi-square test analysis, the strength of the relationship was examined by using Phi & Cramer V test. According to the obtained results, although there was an acceptable significant relationship between RSPM results and teacher’s nominations in diagnosing gifted students, it was observed that success of the teachers’ nomination was not sufficient, and RSPM results, teachers’ nominations and gender factor were not related. Also, the results indicate that teachers showed a bias towards male students in nomination.

教师提名他们认为有才华和才华的学生的决定可能会受到其可能的偏见和缺乏知识的严重影响。在这方面，我们认为将教师的提名决定与正式鉴定有才华和才华横溢的学生的测验进行比较非常重要。在这项研究中，目的是确定教师提名与被鉴定为有天赋或无天赋的学生的乌鸦标准进步矩阵（RSPM）结果之间的关系。此外，还研究了性别对教师提名或RSPM结果的影响。关系调查模型是定量研究模型之一，用于研究。通过分层抽样确定要纳入研究的学生人数，这是概率抽样方法之一。因此，在选定的学校中，从1年级到4年级学习的385名学生构成了研究样本。在这项研究中，使用RSPM来确定学生是否有天赋。还为教师提供了一种表格，可以在其中列出学生的姓名，姓氏和性别，以提名资优学生。卡方检验用于分析从研究中获得的数据。通过卡方检验分析，如果该关系很显着，则使用Phi＆Cramer V检验来检验该关系的强度。根据获得的结果，尽管在诊断有天赋的学生中，RSPM结果与教师提名之间存在可接受的显着关系，据观察，教师提名的成功还不够，RSPM结果，教师提名和性别因素也不相关。而且，结果表明，教师在提名中表现出对男生的偏见。