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Middle school mathematics: Relationships among socioeconomic status, minority status, gender, and achievement.

机译:中学数学:社会经济地位,少数民​​族地位,性别和成就之间的关系。

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摘要

This is a causal-comparative study of the influences of socioeconomic status, minority status, and gender on mathematics achievement in rural Maryland. State test scores in mathematics for the years 2004-2006 were used to measure the achievement of 1,927 students, grades five through eight. The independent variables were socioeconomic status, minority status, and gender. The dependent variables used were overall scale scores and subtest scores in algebra, patterns, and functions; geometry and measurement; statistics and probability; number and relationships computation; and processes of mathematics. A bivariate correlation was used to determine that state test scores were a reliable measure of mathematics achievement. Descriptive statistics were used to describe differences in mean scores. Analysis-of-variance (ANOVA) tests, with post-hoc Bonferroni tests were used to determine the significance of differences and interaction effects.;Analysis of the data revealed large achievement gaps between subgroups, in overall scores, in all grades combined, for individual subtests, at all grade levels. High socioeconomic status students outperformed low socioeconomic status students in overall scores, all grades combined, in subtests overall, but not in all subtests at individual grade levels. The largest subtest gaps were in number relationships computation. The greatest gaps in achievement were recorded in the seventh grade, the least gaps in the sixth grade. Minority status was a significant factor in overall scores, for all grades combined, and in overall subtest scores. There were significant differences between Caucasian and African American students' scores in all subtests at every grade level, but not between Caucasian and Latino subtest scores. The greatest subtest gap between Caucasians and African Americans was in number relationships computation; between Caucasians and Latinos, in statistics and probability; and between Latinos and African Americans, in number relationships computation. The largest gaps were recorded at the seventh grade level; the least gaps at sixth grade. Gender was not a significant factor in achievement, expect in processes of mathematics. Males' scores were generally higher than females in geometry and measurement. Lower scores were recorded for females in geometry and measurement and in number relationships computation, for males in processes of mathematics.
机译:这是对马里兰州农村地区社会经济地位,少数群体地位和性别对数学成绩影响的因果比较研究。使用2004年至2006年的国家数学测试成绩来衡量1,927位5至8年级学生的成绩。自变量是社会经济地位,少数民​​族地位和性别。使用的因变量是代数,模式和功能的整体量表分数和子测验分数。几何形状和尺寸;统计和概率;数量和关系计算;和数学过程。使用双变量相关性来确定状态测试分数是数学成绩的可靠度量。描述性统计用于描述平均得分的差异。方差分析(ANOVA)检验和事后Bonferroni检验用于确定差异和相互作用效应的显着性。数据分析显示,在所有等级的总得分中,各子组之间的成就差距很大各个年级的单独子测验。高社会经济地位的学生在整体分数,所有分数,整体子测验中的总成绩优于低社会经济地位的学生,但在各个年级水平的所有子测验中却没有。子测试差距最大的是数量关系计算。成绩最大的差距记录在七年级,最小的差距在六年级。少数民族状况是总分,所有年级总和子测验总分的重要因素。在每个年级的所有子测验中,高加索和非裔美国学生的分数之间存在显着差异,但高加索和拉丁裔子测验分数之间没有显着差异。高加索人和非裔美国人之间最大的次测差距在于数字关系的计算。在白种人和拉丁裔之间,在统计和概率上;以及拉丁美洲人和非裔美国人之间的数字关系计算。差距最大的是七年级。六年级的差距最小。在数学过程中,性别并不是成就的重要因素。在几何学和测量方面,男性的分数通常高于女性。女性在几何和测量以及数关系计算中的得分较低,男性在数学过程中的得分较低。

著录项

  • 作者

    Newlin, Virginia Strong.;

  • 作者单位

    Wilmington College (Delaware).;

  • 授予单位 Wilmington College (Delaware).;
  • 学科 Education Mathematics.;Hispanic American Studies.;Black Studies.
  • 学位 Ed.D.
  • 年度 2006
  • 页码 203 p.
  • 总页数 203
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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