早期智力分数能预测长期成就吗:一项为期四年的纵向研究

Tatlı E.C, Ergin D.A
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摘要

研究目的:本研究旨在建立一个从学业成绩与智力评价的角度解释学业成绩的线性回归模型。方法:采用85名小学生五年级文化公平智力测验(CFIT)、七年级初级心智能力年龄(PMAA)和八年级基础向中等教育过渡阶段(TEOG)成绩设计纵向模型。结果与结论:结果显示PMAA与TEOG评分之间存在显著正相关。在建立的回归模型中,PMAA得分似乎可以解释14%的方差。这一发现被认为证明TEOG是基于阅读理解能力而不是推理能力。对于进一步的研究,建议在学习成绩和智力分数之外考虑个人变量的预测因素。
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Do Early Intelligent Scores Predict Long-term Achievement: A Quadrennial Longitudinal Study
The Purpose of the Study: In this study, establishing a linear regression model that explain academic achievement in terms of assessing academic achievement and intelligence is aimed. Method: In this study, a longitudinal pattern is designed by using 85 students' scores of Culture Fair Intelligence Test (CFIT) (evaluated in 5th grade), Primary Mental Abilities Ages (PMAA) (evaluated in 7th grade) and Transition From Basic To Secondary Education (TEOG) (evaluated in 8th grade). Findings and Conclusion: Findings show that there is positively meaningful relation between PMAA and TEOG scores. In established regression model, the scores of PMAA is seemed to explain the 14% of the variance. This finding is thought to prove that TEOG is based on the skill of reading comprehension rather than reasoning. For further studies, it is suggested to consider the predictors of personal variables in addition to academic achievement and intelligence scores.
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