View in EDS

Limitless Regression Discontinuity

Saved in:
Bibliographic Details
Title: Limitless Regression Discontinuity
Language: English
Authors: Sales, Adam C., Hansen, Ben B.
Source: Journal of Educational and Behavioral Statistics. Apr 2020 45(2):143-174.
Availability: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Peer Reviewed: Y
Page Count: 32
Publication Date: 2020
Sponsoring Agency: Institute of Education Sciences (ED)
National Science Foundation (NSF)
Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) (NIH)
Contract Number: R305B100012
SES0753164
R24HD041028
Document Type: Journal Articles
Reports - Descriptive
Education Level: Higher Education
Postsecondary Education
Descriptors: Regression (Statistics), Computation, Statistical Inference, Robustness (Statistics), Randomized Controlled Trials, Public Health, Educational Research, Simulation, Statistical Analysis, Grade Point Average, Foreign Countries, College Students
Geographic Terms: Puerto Rico, Canada
DOI: 10.3102/1076998619884904
ISSN: 1076-9986
Abstract: Conventionally, regression discontinuity analysis contrasts a univariate regression's limits as its independent variable, "R," approaches a cut point, "c," from either side. Alternative methods target the average treatment effect in a small region around "c," at the cost of an assumption that treatment assignment, I[R
Abstractor: As Provided
IES Funded: Yes
Entry Date: 2020
Accession Number: EJ1247335
Database: ERIC
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=EJ1247335
    Name: ERIC Full Text
    Category: fullText
    Text: Full Text from ERIC
Header DbId: eric
DbLabel: ERIC
An: EJ1247335
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Limitless Regression Discontinuity
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Sales%2C+Adam+C%2E%22">Sales, Adam C.</searchLink><br /><searchLink fieldCode="AR" term="%22Hansen%2C+Ben+B%2E%22">Hansen, Ben B.</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="SO" term="%22Journal+of+Educational+and+Behavioral+Statistics%22"><i>Journal of Educational and Behavioral Statistics</i></searchLink>. Apr 2020 45(2):143-174.
– Name: Avail
  Label: Availability
  Group: Avail
  Data: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
– Name: PeerReviewed
  Label: Peer Reviewed
  Group: SrcInfo
  Data: Y
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 32
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 2020
– Name: SourceSuprt
  Label: Sponsoring Agency
  Group: SrcSuprt
  Data: Institute of Education Sciences (ED)<br />National Science Foundation (NSF)<br />Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) (NIH)
– Name: NumberContract
  Label: Contract Number
  Group: NumCntrct
  Data: R305B100012<br />SES0753164<br />R24HD041028
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: Journal Articles<br />Reports - Descriptive
– Name: Audience
  Label: Education Level
  Group: Audnce
  Data: <searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink>
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Regression+%28Statistics%29%22">Regression (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Computation%22">Computation</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+Inference%22">Statistical Inference</searchLink><br /><searchLink fieldCode="DE" term="%22Robustness+%28Statistics%29%22">Robustness (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Randomized+Controlled+Trials%22">Randomized Controlled Trials</searchLink><br /><searchLink fieldCode="DE" term="%22Public+Health%22">Public Health</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Research%22">Educational Research</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation%22">Simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+Analysis%22">Statistical Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Grade+Point+Average%22">Grade Point Average</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22College+Students%22">College Students</searchLink>
– Name: Subject
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Puerto+Rico%22">Puerto Rico</searchLink><br /><searchLink fieldCode="DE" term="%22Canada%22">Canada</searchLink>
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.3102/1076998619884904
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 1076-9986
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Conventionally, regression discontinuity analysis contrasts a univariate regression's limits as its independent variable, "R," approaches a cut point, "c," from either side. Alternative methods target the average treatment effect in a small region around "c," at the cost of an assumption that treatment assignment, I[R<c], is ignorable vis-à-vis potential outcomes. Instead, the method presented in this article assumes "residual ignorability," ignorability of treatment assignment vis-à-vis detrended potential outcomes. Detrending is effected not with ordinary least squares but with MM estimation, following a distinct phase of sample decontamination. The method's inferences acknowledge uncertainty in both of these adjustments, despite its applicability whether "R" is discrete or continuous; it is uniquely robust to leading validity threats facing regression discontinuity designs.
– Name: AbstractInfo
  Label: Abstractor
  Group: Ab
  Data: As Provided
– Name: CodeSource
  Label: IES Funded
  Group: SrcInfo
  Data: Yes
– Name: DateEntry
  Label: Entry Date
  Group: Date
  Data: 2020
– Name: AN
  Label: Accession Number
  Group: ID
  Data: EJ1247335
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1247335
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3102/1076998619884904
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 32
        StartPage: 143
    Subjects:
      – SubjectFull: Regression (Statistics)
        Type: general
      – SubjectFull: Computation
        Type: general
      – SubjectFull: Statistical Inference
        Type: general
      – SubjectFull: Robustness (Statistics)
        Type: general
      – SubjectFull: Randomized Controlled Trials
        Type: general
      – SubjectFull: Public Health
        Type: general
      – SubjectFull: Educational Research
        Type: general
      – SubjectFull: Simulation
        Type: general
      – SubjectFull: Statistical Analysis
        Type: general
      – SubjectFull: Grade Point Average
        Type: general
      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: College Students
        Type: general
      – SubjectFull: Puerto Rico
        Type: general
      – SubjectFull: Canada
        Type: general
    Titles:
      – TitleFull: Limitless Regression Discontinuity
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Sales, Adam C.
      – PersonEntity:
          Name:
            NameFull: Hansen, Ben B.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 04
              Type: published
              Y: 2020
          Identifiers:
            – Type: issn-print
              Value: 1076-9986
          Numbering:
            – Type: volume
              Value: 45
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Journal of Educational and Behavioral Statistics
              Type: main
ResultId 1