Error, Error in My Model, Who’s the Fairest Error of Them All?

Todd D. Little, Keith F. Widaman, Roy Levy, Joseph Lee Rodgers, Gregory R. Hancock

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

We examine some key errors that influence the validity of scientific inquiry in the social and behavioral sciences, emphasizing the need for researchers to be attuned to the varied sources of error. We discuss error beyond simple inferential processes inherent in null hypotheses testing, for example. and broaden the scope of influences in the modeling process, from model specification, to model evaluation, modification, and comparison as well as the dissemination process. From this broadened perspective on the myriad possible sources of error, error management becomes a multipronged endeavor that involves all persons contributing to the peer-review bedrock of scientific inquiry.

Original languageEnglish (US)
Pages (from-to)1-16
Number of pages16
JournalResearch in Human Development
DOIs
StateAccepted/In press - Nov 6 2017

Fingerprint

Research Design
Behavioral Sciences
Peer Review
Social Sciences
Research Personnel

Keywords

  • error management
  • philosophy of science
  • Structural equation modeling

ASJC Scopus subject areas

  • Social Psychology
  • Developmental and Educational Psychology

Cite this

Error, Error in My Model, Who’s the Fairest Error of Them All? / Little, Todd D.; Widaman, Keith F.; Levy, Roy; Rodgers, Joseph Lee; Hancock, Gregory R.

In: Research in Human Development, 06.11.2017, p. 1-16.

Research output: Contribution to journalArticle

Little, Todd D. ; Widaman, Keith F. ; Levy, Roy ; Rodgers, Joseph Lee ; Hancock, Gregory R. / Error, Error in My Model, Who’s the Fairest Error of Them All?. In: Research in Human Development. 2017 ; pp. 1-16.
@article{2a371f21efc44d8aaad0350de13cd75f,
title = "Error, Error in My Model, Who’s the Fairest Error of Them All?",
abstract = "We examine some key errors that influence the validity of scientific inquiry in the social and behavioral sciences, emphasizing the need for researchers to be attuned to the varied sources of error. We discuss error beyond simple inferential processes inherent in null hypotheses testing, for example. and broaden the scope of influences in the modeling process, from model specification, to model evaluation, modification, and comparison as well as the dissemination process. From this broadened perspective on the myriad possible sources of error, error management becomes a multipronged endeavor that involves all persons contributing to the peer-review bedrock of scientific inquiry.",
keywords = "error management, philosophy of science, Structural equation modeling",
author = "Little, {Todd D.} and Widaman, {Keith F.} and Roy Levy and Rodgers, {Joseph Lee} and Hancock, {Gregory R.}",
year = "2017",
month = "11",
day = "6",
doi = "10.1080/15427609.2017.1370965",
language = "English (US)",
pages = "1--16",
journal = "Research in Human Development",
issn = "1542-7609",
publisher = "Routledge",

}

TY - JOUR

T1 - Error, Error in My Model, Who’s the Fairest Error of Them All?

AU - Little, Todd D.

AU - Widaman, Keith F.

AU - Levy, Roy

AU - Rodgers, Joseph Lee

AU - Hancock, Gregory R.

PY - 2017/11/6

Y1 - 2017/11/6

N2 - We examine some key errors that influence the validity of scientific inquiry in the social and behavioral sciences, emphasizing the need for researchers to be attuned to the varied sources of error. We discuss error beyond simple inferential processes inherent in null hypotheses testing, for example. and broaden the scope of influences in the modeling process, from model specification, to model evaluation, modification, and comparison as well as the dissemination process. From this broadened perspective on the myriad possible sources of error, error management becomes a multipronged endeavor that involves all persons contributing to the peer-review bedrock of scientific inquiry.

AB - We examine some key errors that influence the validity of scientific inquiry in the social and behavioral sciences, emphasizing the need for researchers to be attuned to the varied sources of error. We discuss error beyond simple inferential processes inherent in null hypotheses testing, for example. and broaden the scope of influences in the modeling process, from model specification, to model evaluation, modification, and comparison as well as the dissemination process. From this broadened perspective on the myriad possible sources of error, error management becomes a multipronged endeavor that involves all persons contributing to the peer-review bedrock of scientific inquiry.

KW - error management

KW - philosophy of science

KW - Structural equation modeling

UR - http://www.scopus.com/inward/record.url?scp=85033400701&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85033400701&partnerID=8YFLogxK

U2 - 10.1080/15427609.2017.1370965

DO - 10.1080/15427609.2017.1370965

M3 - Article

SP - 1

EP - 16

JO - Research in Human Development

JF - Research in Human Development

SN - 1542-7609

ER -