Predicting Response to Vocabulary Intervention Using Dynamic Assessment

词汇 干预(咨询) 动态评估 心理学 对干预的反应 预测值 随机对照试验 医学 发展心理学 语言学 哲学 外科 精神科 内科学
作者
Anna Steenberg Gellert,Elisabeth Arnbak
出处
期刊:Language Speech and Hearing Services in Schools [American Speech-Language-Hearing Association]
卷期号:51 (4): 1112-1123 被引量:3
标识
DOI:10.1044/2020_lshss-20-00045
摘要

Purpose The purpose of this study was to examine how well students' response to a morphological vocabulary intervention can be predicted before the start of the intervention from traditional static assessments and to determine whether a dynamic assessment with graduated prompts improves the prediction. Method A planned secondary analysis of a randomized trial of a morphological vocabulary intervention for fifth-grade students with limited vocabulary was conducted. Response to this intervention was examined for 111 participants based on their development in definitions of morphologically transparent words from pretest to posttest. Traditional static measures of vocabulary, knowledge of morphology, and morphological analysis as well as a dynamic assessment of morphological analysis were evaluated as predictors of students' response to intervention. Results The static pretest measures predicted more than half of the overall variance in students' response to intervention and provided a good classification of students with subsequent poor or good response to intervention. The single best static predictor was the static assessment of morphological analysis. Furthermore, the dynamic assessment added significantly to the prediction of the overall variance in students' response to intervention and to the correct early classification of students as poor or good responders. Conclusions The results suggest that an acceptable level of prediction of students' response to morphological vocabulary intervention can be obtained by means of a couple of static morphological measures. This study also provides evidence for the added predictive value of a dynamic assessment of morphological analysis.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
深情安青应助JJJ采纳,获得10
1秒前
1秒前
1秒前
DUhn发布了新的文献求助10
1秒前
2秒前
QQQ完成签到,获得积分10
2秒前
波比大王完成签到,获得积分10
2秒前
调皮帽子完成签到,获得积分10
2秒前
DaHai完成签到,获得积分10
2秒前
ZHR关注了科研通微信公众号
4秒前
4秒前
朴素若枫完成签到,获得积分10
4秒前
小黄鸭完成签到,获得积分20
4秒前
小王完成签到,获得积分10
5秒前
zhuzhu完成签到 ,获得积分10
5秒前
科研通AI6应助qin采纳,获得10
5秒前
00000发布了新的文献求助10
5秒前
背后的小白菜完成签到,获得积分10
5秒前
MrIShelter完成签到,获得积分10
5秒前
5秒前
5秒前
wam发布了新的文献求助10
6秒前
6秒前
7秒前
7秒前
7秒前
100发布了新的文献求助10
7秒前
Orange应助俏皮小土豆采纳,获得10
8秒前
8秒前
VVZD完成签到,获得积分10
9秒前
9秒前
9秒前
yunny发布了新的文献求助20
9秒前
JamesPei应助东山采纳,获得10
9秒前
10秒前
10秒前
太阳完成签到,获得积分10
10秒前
研友_VZG7GZ应助能干的海露采纳,获得10
10秒前
yuewang发布了新的文献求助10
11秒前
自觉雅柏完成签到,获得积分10
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Teaching Language in Context (Third Edition) 1000
Identifying dimensions of interest to support learning in disengaged students: the MINE project 1000
Introduction to Early Childhood Education 1000
List of 1,091 Public Pension Profiles by Region 921
Aerospace Standards Index - 2025 800
流动的新传统主义与新生代农民工的劳动力再生产模式变迁 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5435804
求助须知:如何正确求助?哪些是违规求助? 4548006
关于积分的说明 14211638
捐赠科研通 4468203
什么是DOI,文献DOI怎么找? 2448968
邀请新用户注册赠送积分活动 1439889
关于科研通互助平台的介绍 1416503