東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Testing for phase capacity in survey...

Lewis, Taylor Hudson.

Linked to FindBook

Google Book

Amazon

博客來

Testing for phase capacity in surveys with multiple waves of nonrespondent follow-up.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Testing for phase capacity in surveys with multiple waves of nonrespondent follow-up./
Author:	Lewis, Taylor Hudson.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2014,
Description:	172 p.
Notes:	Source: Dissertation Abstracts International, Volume: 76-07(E), Section: B.
Contained By:	Dissertation Abstracts International76-07B(E).
Subject:	Statistics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3682833
ISBN:	9781321566338

Testing for phase capacity in surveys with multiple waves of nonrespondent follow-up.
Lewis, Taylor Hudson.

Testing for phase capacity in surveys with multiple waves of nonrespondent follow-up. - Ann Arbor : ProQuest Dissertations & Theses, 2014 - 172 p.

Source: Dissertation Abstracts International, Volume: 76-07(E), Section: B.

Thesis (Ph.D.)--University of Maryland, College Park, 2014.

To mitigate the potentially harmful effects of nonresponse, many surveys repeatedly follow up with nonrespondents, often targeting a particular response rate or predetermined number of completes. Each additional recruitment attempt generally brings in a new wave of data, but returns gradually diminish over the course of a fixed data collection protocol. This is because each subsequent wave tends to contain fewer and fewer new responses, thereby resulting in smaller and smaller changes on (nonresponse-adjusted) point estimates. Consequently, these estimates begin to stabilize. This is the notion of phase capacity, suggesting some form of design change is in order, such as switching modes, increasing the incentive, or, as is considered exclusively in this research, discontinuing the nonrespondent follow-up campaign altogether. This dissertation consists of three methodological studies proposing and assessing various techniques survey practitioners can use to formally test for phase capacity. One of the earliest known phase capacity testing methods proposed in the literature calls for multiply imputing nonrespondents' missing data to assess, retrospectively, whether the most recent wave of data significantly altered a key estimate. The first study introduces an adaptation of this test amenable to surveys that instead reweight the observed data to compensate for nonresponse. A general limitation of methods discussed in the first study is that they are applicable to a single point estimate. The second study evaluates two extensions, each with the aim of producing a universal, yes-or-no phase capacity determination for a battery of point estimates. The third study builds upon ideas of a prospective phase capacity test recently proposed in the literature attempting to address the question of whether an imminent wave of data will significantly alter a key estimate. All three studies include a simulation study and application using data from the 2011 Federal Employee Viewpoint Survey.

ISBN: 9781321566338Subjects--Topical Terms:

517247
Statistics.

Testing for phase capacity in surveys with multiple waves of nonrespondent follow-up.
LDR:02966nmm a2200289 4500 001 2128267
005 20180105074637.5
008 180830s2014 ||||||||||||||||| ||eng d
020 $a 9781321566338
035 $a (MiAaPQ)AAI3682833
035 $a AAI3682833
040 $a MiAaPQ $c MiAaPQ
100 1 $a Lewis, Taylor Hudson. $3 3290439
245 1 0 $a Testing for phase capacity in surveys with multiple waves of nonrespondent follow-up.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2014
300 $a 172 p.
500 $a Source: Dissertation Abstracts International, Volume: 76-07(E), Section: B.
500 $a Advisers: Partha Lahiri; Frauke Kreuter.
502 $a Thesis (Ph.D.)--University of Maryland, College Park, 2014.
520 $a To mitigate the potentially harmful effects of nonresponse, many surveys repeatedly follow up with nonrespondents, often targeting a particular response rate or predetermined number of completes. Each additional recruitment attempt generally brings in a new wave of data, but returns gradually diminish over the course of a fixed data collection protocol. This is because each subsequent wave tends to contain fewer and fewer new responses, thereby resulting in smaller and smaller changes on (nonresponse-adjusted) point estimates. Consequently, these estimates begin to stabilize. This is the notion of phase capacity, suggesting some form of design change is in order, such as switching modes, increasing the incentive, or, as is considered exclusively in this research, discontinuing the nonrespondent follow-up campaign altogether. This dissertation consists of three methodological studies proposing and assessing various techniques survey practitioners can use to formally test for phase capacity. One of the earliest known phase capacity testing methods proposed in the literature calls for multiply imputing nonrespondents' missing data to assess, retrospectively, whether the most recent wave of data significantly altered a key estimate. The first study introduces an adaptation of this test amenable to surveys that instead reweight the observed data to compensate for nonresponse. A general limitation of methods discussed in the first study is that they are applicable to a single point estimate. The second study evaluates two extensions, each with the aim of producing a universal, yes-or-no phase capacity determination for a battery of point estimates. The third study builds upon ideas of a prospective phase capacity test recently proposed in the literature attempting to address the question of whether an imminent wave of data will significantly alter a key estimate. All three studies include a simulation study and application using data from the 2011 Federal Employee Viewpoint Survey.
590 $a School code: 0117.
650 4 $a Statistics. $3 517247
650 4 $a Social research. $3 2122687
690 $a 0463
690 $a 0344
710 2 $a University of Maryland, College Park. $b Survey Methodology. $3 1264515
773 0 $t Dissertation Abstracts International $g 76-07B(E).
790 $a 0117
791 $a Ph.D.
792 $a 2014
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3682833