Graphics Development for the Self-efficacy Scale: A Study of Validity and Reliability

可靠性(半导体) 比例(比率) 绘图 计算机科学 可靠性工程 计算机图形学(图像) 工程类 地理 地图学 量子力学 物理 功率(物理)
作者
Hüseyin Uzunboylu,CaglaTerzioglu Oz
出处
期刊:International journal of educational sciences [Kamla Raj Enterprises]
卷期号:15 (1-2): 269-278 被引量:2
标识
DOI:10.1080/09751122.2016.11890536
摘要

Graphs are seen in various fields from engineering to education, they are used in many different kindsof areas for various aims. But in either learning or teaching and all the steps of education, graphs have to bestructured properly according to various conditions. The objective of this study was to develop a reliable and validscale to measure the competencies of graphics class students concerning their graphic developments. The draftscale was applied to students, who had taken graphics course. Primarily, it was conducted with a normal distrubitonanalysis for reliability and validity of the scale. As a result of these processes, a valid and reliable measurement toolof three dimensions and forty-seven items were obtained. Since GDSES analyzes the graphic competencies ofpeople who have received a graphics course and helps identify the shortcomings in this topic, the scale can be usedin various studies.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
1秒前
个性的一手完成签到,获得积分10
3秒前
思源应助枸杞炖银耳采纳,获得10
3秒前
luckydog完成签到 ,获得积分10
4秒前
小心完成签到 ,获得积分10
4秒前
4秒前
4秒前
4秒前
勇往直前发布了新的文献求助10
5秒前
领导范儿应助幸福雪糕采纳,获得10
5秒前
7秒前
8秒前
8秒前
8秒前
9秒前
9秒前
糖糖发布了新的文献求助10
9秒前
9秒前
10秒前
10秒前
10秒前
phynice完成签到,获得积分10
11秒前
11秒前
11秒前
风吹麦浪发布了新的文献求助30
11秒前
11秒前
11秒前
风吹麦浪发布了新的文献求助30
11秒前
11秒前
11秒前
12秒前
张欢馨应助初九采纳,获得10
12秒前
风吹麦浪发布了新的文献求助80
12秒前
风吹麦浪发布了新的文献求助100
12秒前
张欢馨应助初九采纳,获得10
12秒前
12秒前
12秒前
12秒前
咦哈哈哈完成签到,获得积分10
13秒前
顾矜应助初九采纳,获得10
13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
化工安全与环保 1000
Autoparametric Resonance in Mechanical Systems 1000
基于锂离子电池正极材料回收的绿色溶剂开发及工程化应用研究 800
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 600
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7652766
求助须知:如何正确求助?哪些是违规求助? 9224056
关于积分的说明 19811720
捐赠科研通 7218656
什么是DOI,文献DOI怎么找? 3279007
关于科研通互助平台的介绍 2439738
邀请新用户注册赠送积分活动 2278197