Chamberlin Scott A, Moore Alan D, Parks Kelly
University of Wyoming, Laramie, Wyoming, USA.
Laramie County School District #1, Cheyenne, Wyoming, USA.
Br J Educ Psychol. 2017 Sep;87(3):422-437. doi: 10.1111/bjep.12157. Epub 2017 Apr 12.
Student affect plays a considerable role in mathematical problem solving performance, yet is rarely formally assessed. In this manuscript, an instrument and its properties are discussed to enable educational psychologists the opportunity to assess student affect.
The study was conducted to norm the CAIMPS (instrument) with gifted students. In so doing, educational psychologists are informed of the process and the instrument's properties.
The sample was comprised of 160 middle-grade (7 and 8) students, identified as gifted, in the United States.
After completing one of four model-eliciting activities (MEAs), all participants completed the CAIMPS (Chamberlin Affective Instrument for Mathematical Problem Solving). Data were analysed using confirmatory factor analysis to ascertain the number of factors in the instrument. The normed fit index (0.6939), non-normed fit index (0.8072), and root mean square error approximation (.076) were at or near the acceptable levels. Alpha levels for factors were also robust (.637-.923).
Data suggest that the instrument was a good fit for use with mathematics students in middle grades when solving problems. Perhaps the most impressive characteristic of the instrument was that the four factors (AVI: anxiety, value, and interest), SS (self-efficacy and self-esteem), ASP (aspiration), and ANX (anxiety) did not correlate highly with one another, which defies previous hypotheses in educational psychology.
学生的情感在数学问题解决表现中起着相当重要的作用,但很少进行正式评估。在本论文中,将讨论一种工具及其特性,以便教育心理学家有机会评估学生的情感。
本研究旨在对CAIMPS(该工具)在资优学生中进行标准化。通过这样做,教育心理学家可以了解该过程和该工具的特性。
样本由160名美国初中(七年级和八年级)被认定为资优的学生组成。
在完成四项模型引出活动(MEA)之一后,所有参与者完成了CAIMPS(张伯伦数学问题解决情感量表)。使用验证性因素分析对数据进行分析,以确定该工具中的因素数量。标准化拟合指数(0.6939)、非标准化拟合指数(0.8072)和均方根误差近似值(.076)处于或接近可接受水平。各因素的阿尔法水平也很稳健(0.637 - 0.923)。
数据表明,该工具非常适合初中数学学生在解决问题时使用。该工具最令人印象深刻的特点可能是四个因素(AVI:焦虑、价值观和兴趣)、SS(自我效能感和自尊)、ASP(抱负)和ANX(焦虑)彼此之间的相关性不高,这与教育心理学中先前的假设相悖。