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Multiple Inference With Applications...

University of Pennsylvania., Operations, Information and Decisions.

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Multiple Inference With Applications in Social Science.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Multiple Inference With Applications in Social Science./
Author:	Bowen, Dillon.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
Description:	110 p.
Notes:	Source: Dissertations Abstracts International, Volume: 85-08, Section: A.
Contained By:	Dissertations Abstracts International85-08A.
Subject:	Statistics. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30817293
ISBN:	9798381471625

Multiple Inference With Applications in Social Science.
Bowen, Dillon.

Multiple Inference With Applications in Social Science. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 110 p.

Source: Dissertations Abstracts International, Volume: 85-08, Section: A.

Thesis (Ph.D.)--University of Pennsylvania, 2023.

Multiple inference - comparing many "things" simultaneously - is common in social science. Behavioral scientists regularly compare the effects of many behavioral interventions, personality psychologists study individual differences by comparing many people, and diversity researchers compare the impact of policies on many demographic groups, to name only a few examples. Unfortunately, it is difficult to perform multiple inference correctly, and many social scientists do not. As a result, social scientists often draw unfounded or misleading conclusions from their data. This thesis addresses the problem of multiple inference, especially in social science. Chapter 1 describes several of the best-performing multiple inference techniques - including several new techniques developed in later chapters - and shows how applying them to social science datasets can lead to substantially different conclusions compared to traditional statistics. Chapters 2 and 3 describe the new multiple inference techniques introduced in Chapter 1 (inference after ranking, Bayesian ranking, and Bayesian selection) in greater detail. Importantly, we provide an open-source statistics package so that social scientists and other researchers can apply correct multiple inference techniques in a few lines of code.

ISBN: 9798381471625Subjects--Topical Terms:

517247
Statistics.
Subjects--Index Terms:

Applied statistics

Multiple Inference With Applications in Social Science.
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245 1 0 $a Multiple Inference With Applications in Social Science.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2023
300 $a 110 p.
500 $a Source: Dissertations Abstracts International, Volume: 85-08, Section: A.
500 $a Advisor: Simmons, Joseph;Tetlock, Philip.
502 $a Thesis (Ph.D.)--University of Pennsylvania, 2023.
520 $a Multiple inference - comparing many "things" simultaneously - is common in social science. Behavioral scientists regularly compare the effects of many behavioral interventions, personality psychologists study individual differences by comparing many people, and diversity researchers compare the impact of policies on many demographic groups, to name only a few examples. Unfortunately, it is difficult to perform multiple inference correctly, and many social scientists do not. As a result, social scientists often draw unfounded or misleading conclusions from their data. This thesis addresses the problem of multiple inference, especially in social science. Chapter 1 describes several of the best-performing multiple inference techniques - including several new techniques developed in later chapters - and shows how applying them to social science datasets can lead to substantially different conclusions compared to traditional statistics. Chapters 2 and 3 describe the new multiple inference techniques introduced in Chapter 1 (inference after ranking, Bayesian ranking, and Bayesian selection) in greater detail. Importantly, we provide an open-source statistics package so that social scientists and other researchers can apply correct multiple inference techniques in a few lines of code.
590 $a School code: 0175.
650 4 $a Statistics. $3 517247
650 4 $a Applied mathematics. $3 2122814
650 4 $a Social studies education. $3 3422293
653 $a Applied statistics
653 $a Bayesian statistics
653 $a Multiple hypothesis testing
690 $a 0463
690 $a 0534
690 $a 0364
710 2 $a University of Pennsylvania. $b Operations, Information and Decisions. $3 3691378
773 0 $t Dissertations Abstracts International $g 85-08A.
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792 $a 2023
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30817293