Questionnaires in Second Language Research pdf epub mobi txt 電子書 下載 2024


Questionnaires in Second Language Research

簡體網頁||繁體網頁
Zoltán Dörnyei
Routledge
2009-11-20
200
GBP 24.99
Paperback
9780415998208

圖書標籤: linguistics  research  questionnaires  問捲調查  研究方法  應用語言學  second  language   


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发表于2024-11-22

Questionnaires in Second Language Research epub 下載 mobi 下載 pdf 下載 txt 電子書 下載 2024

Questionnaires in Second Language Research epub 下載 mobi 下載 pdf 下載 txt 電子書 下載 2024

Questionnaires in Second Language Research pdf epub mobi txt 電子書 下載 2024



圖書描述

Questionnaires in Second Language Research: Construction, Administration, and Processing is the first guide in the second language field devoted to the question of how to produce and use questionnaires as reliable and valid research instruments. It offers a thorough overview of the theory of questionnaire design, administration, and processing, made accessible by concrete, real-life second language research applications. This Second Edition features a new chapter on how an actual scientific instrument was developed using the theoretical guidelines in the book, and new sections on translating questionnaires and collecting survey data on the Internet. Researchers and students in second language studies, applied linguistics, and TESOL programs will find this book invaluable, and it can also be used as a textbook for courses in quantitative research methodology and survey research in linguistics, psychology, and education departments.

Questionnaires in Second Language Research 下載 mobi epub pdf txt 電子書

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圖書目錄


Questionnaires in Second Language Research pdf epub mobi txt 電子書 下載
想要找書就要到 小哈圖書下載中心
立刻按 ctrl+D收藏本頁
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用戶評價

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社會科學的魅力之一在於不斷追求更嚴謹的數據收集方法/ Good research cannot be built on poorly collected data!

評分

社會科學的魅力之一在於不斷追求更嚴謹的數據收集方法/ Good research cannot be built on poorly collected data!

評分

社會科學的魅力之一在於不斷追求更嚴謹的數據收集方法/ Good research cannot be built on poorly collected data!

評分

社會科學的魅力之一在於不斷追求更嚴謹的數據收集方法/ Good research cannot be built on poorly collected data!

評分

社會科學的魅力之一在於不斷追求更嚴謹的數據收集方法/ Good research cannot be built on poorly collected data!

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