找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Advances in Rasch Analyses in the Human Sciences; William J. Boone,John R. Staver Book 2020 Springer Nature Switzerland AG 2020 Assessment

[復(fù)制鏈接]
樓主: Jackson
11#
發(fā)表于 2025-3-23 13:38:40 | 只看該作者
Point Measure Correlation, spot errors in answer keys, as well in the presence of survey items that were not flipped, but should have been flipped. This chapter provides an added technique by which researchers can identify issues that can impact the quality of data used for an analysis of a test or a survey. Also, we link this chapter to our “What Tables to Use” of
12#
發(fā)表于 2025-3-23 17:36:53 | 只看該作者
Common Person Test Equating,we introduce readers to “Common Person Test Equating”. This is the technique in which two tests measuring the same trait, but not sharing any common items, can be linked through use of “common persons”. We also outline how the technique can be used to link surveys.
13#
發(fā)表于 2025-3-23 18:41:52 | 只看該作者
14#
發(fā)表于 2025-3-24 00:31:59 | 只看該作者
15#
發(fā)表于 2025-3-24 06:05:38 | 只看該作者
The Importance of Cross Plots for Your Rasch Analysis, variety of cross plots and what to look for in cross plots when one is attempting to develop a measurement instrument. This chapter also presents an assessment and summary of the range of cross plots that have been utilized over the course of the last 10?years.
16#
發(fā)表于 2025-3-24 10:28:04 | 只看該作者
Rasch and Forms of Validity Evidence,is chapter, we discuss how Rasch techniques can be used to address a wide range of validity issues. For example, content validity, construct validity, predictive validity, concurrent validity, statistical validity, fit validity, and face validity.
17#
發(fā)表于 2025-3-24 11:29:01 | 只看該作者
William J. Boone,John R. StaverPresents an easy to digest manner of complicated material.Offers numerous activities to practice the reader’s understanding of Rasch techniques.Provides links between the chapters of this and the prev
18#
發(fā)表于 2025-3-24 16:48:55 | 只看該作者
19#
發(fā)表于 2025-3-24 22:06:23 | 只看該作者
Studies in Computational Intelligence tools. . presents a range of topics that were not presented in . (e.g. partial credit analysis of data, common person equating, use of Item Characteristic Curves). . also includes extensions of several topics discussed in .. For example, to augment use of Wright Maps, we include a lengthy discussio
20#
發(fā)表于 2025-3-25 01:43:16 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-13 08:25
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
长春市| 临清市| 天水市| 莎车县| 德庆县| 洮南市| 新民市| 昌宁县| 邳州市| 山丹县| 潮州市| 抚顺市| 宁南县| 柳林县| 阳西县| 青浦区| 台山市| 沽源县| 祁阳县| 靖边县| 威海市| 鄯善县| 罗田县| 夏邑县| 桂平市| 丹寨县| 马关县| 农安县| 安远县| 宁陵县| 辉南县| 桂林市| 景泰县| 额尔古纳市| 云梦县| 双桥区| 茂名市| 双牌县| 汝城县| 宜君县| 沙坪坝区|