Jumping to the wrong conclusions

Harvey Goldstein

doi:10.1111/j.1740-9713.2015.00853.x

Jumping to the wrong conclusions

Harvey Goldstein^*

^*Corresponding author for this work

Research output: Contribution to journal › Article (Academic Journal) › peer-review

3 Citations (Scopus)

299 Downloads (Pure)

Abstract

Harvey Goldstein shows how failure to account for measurement errors in statistical analysis can have profound impacts on social policy. He calls on policy-makers to take a more cautious approach to seemingly "important" findings.

Original language	English
Pages (from-to)	18-21
Number of pages	4
Journal	Significance
Volume	12
Issue number	5
Early online date	12 Oct 2015
DOIs	https://doi.org/10.1111/j.1740-9713.2015.00853.x
Publication status	Published - Oct 2015

Keywords

measurement errors
Policy Making
EDUCATION

Access to Document

10.1111/j.1740-9713.2015.00853.x

Handling measurement errors - finalAccepted author manuscript, 524 KB

Handle.net

Persistent link

Cite this

@article{5efd08e00ac84873a879fd6903fe05a2,

title = "Jumping to the wrong conclusions",

abstract = "Harvey Goldstein shows how failure to account for measurement errors in statistical analysis can have profound impacts on social policy. He calls on policy-makers to take a more cautious approach to seemingly {"}important{"} findings.",

keywords = "measurement errors, Policy Making, EDUCATION",

author = "Harvey Goldstein",

year = "2015",

month = oct,

doi = "10.1111/j.1740-9713.2015.00853.x",

language = "English",

volume = "12",

pages = "18--21",

journal = "Significance",

issn = "1740-9705",

publisher = "Oxford University Press",

number = "5",

}

TY - JOUR

T1 - Jumping to the wrong conclusions

AU - Goldstein, Harvey

PY - 2015/10

Y1 - 2015/10

N2 - Harvey Goldstein shows how failure to account for measurement errors in statistical analysis can have profound impacts on social policy. He calls on policy-makers to take a more cautious approach to seemingly "important" findings.

AB - Harvey Goldstein shows how failure to account for measurement errors in statistical analysis can have profound impacts on social policy. He calls on policy-makers to take a more cautious approach to seemingly "important" findings.

KW - measurement errors

KW - Policy Making

KW - EDUCATION

UR - https://www.scopus.com/pages/publications/84944394318

U2 - 10.1111/j.1740-9713.2015.00853.x

DO - 10.1111/j.1740-9713.2015.00853.x

M3 - Article (Academic Journal)

AN - SCOPUS:84944394318

SN - 1740-9705

VL - 12

SP - 18

EP - 21

JO - Significance

JF - Significance

IS - 5

ER -

Jumping to the wrong conclusions

Abstract

Keywords

Access to Document

Handle.net

Other files and links

Fingerprint

Cite this