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Online panel research = a data quali...

Callegaro, Mario.

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Online panel research = a data quality perspective /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Online panel research/ editors, Mario Callegaro ... [et al.].
其他題名:	a data quality perspective /
其他作者:	Callegaro, Mario.
出版者:	Chichester, West Sussex :John Wiley & Sons, : 2014.,
面頁冊數:	1 online resource (xxix, 477 p.)
標題:	Panel analysis. -
電子資源:	https://onlinelibrary.wiley.com/doi/book/10.1002/9781118763520
ISBN:	9781118763520

Online panel research = a data quality perspective /
Online panel researcha data quality perspective /[electronic resource] :editors, Mario Callegaro ... [et al.]. - 1st ed. - Chichester, West Sussex :John Wiley & Sons,2014. - 1 online resource (xxix, 477 p.) - Wiley series in survey methodology. - Wiley series in survey methodology..

Includes bibliographical references and index.

Provides new insights into the accuracy and value of online panels for completing surveys Over the last decade, there has been a major global shift in survey and market research towards data collection, using samples selected from online panels. Yet despite their widespread use, remarkably little is known about the quality of the resulting data. This edited volume is one of the first attempts to carefully examine the quality of the survey data being generated by online samples. It describes some of the best empirically-based research on what has become a very important yet controversial met.

ISBN: 9781118763520

LCCN: 2014000677Subjects--Topical Terms:

565934
Panel analysis.

LC Class. No.: H61.26

Dewey Class. No.: 001.4/33

Online panel research = a data quality perspective /
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520 $a Provides new insights into the accuracy and value of online panels for completing surveys Over the last decade, there has been a major global shift in survey and market research towards data collection, using samples selected from online panels. Yet despite their widespread use, remarkably little is known about the quality of the resulting data. This edited volume is one of the first attempts to carefully examine the quality of the survey data being generated by online samples. It describes some of the best empirically-based research on what has become a very important yet controversial met.
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