❤[READ]❤ A Primer on Regression Artifacts - PowerPoint PPT Presentation

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❤[READ]❤ A Primer on Regression Artifacts

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COPY LINK HERE ; good.readbooks.link/pwshow/1572304820 $PDF$/READ/DOWNLOAD A Primer on Regression Artifacts | Regression toward the mean is a complex statistical principle that plays a crucial role in any research involving the measurement of change. This primer is designed to help researchers more fully understand this phenomenon and avoid common errors in interpretation. The book presents new methods of graphing regression toward – PowerPoint PPT presentation

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Title: ❤[READ]❤ A Primer on Regression Artifacts


1
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2
A Primer on Regression Artifacts
3
A Primer on Regression Artifacts
Sinopsis
Regression toward the mean is a complex
statistical principle that plays a crucial role
in any research involving the measurement of
change. This primer is designed to help
researchers more fully understand this
phenomenon and avoid common errors in
interpretation. The book presents new methods of
graphing regression toward the mean, facilitating
comprehension with a wealth of figures and
diagrams. Special attention is given to
applications related to program or treatment
evaluation. Numerous concrete examples illustrate
the ways researchers all too often attribute
effects to an intervention or other causal
variable without considering regression
artifacts as an alternative explanation for
change. Also discussed are instances when
problems are actually created, instead of solved,
by correction for regression toward the mean.
Throughout, the authors strive to
use nontechnical language and to keep simulations
and formulas as accessible as possible.
4
Bestselling new book releases
A Primer on Regression Artifacts
5
(No Transcript)
6
COPY LINK TO DOWNLOAD AND GET ABOOK copy link in
description
7
A
Primer
on
Regression
Artifacts
copy link in
description
Regression toward the mean is a
complex statistical
principle that plays a crucial role in any
research involving the measurement of change.
This primer is designed to help researchers
8
more fully understand this phenomenon and avoid
common errors in interpretation. The book
presents new methods of graphing regression
toward the mean, facilitating comprehension with
a wealth of figures and diagrams. Special
attention is given to applications related to
program or treatment evaluation. Numerous
concrete examples illustrate the ways
researchers all too often attribute effects to an
intervention or other causal variable without
considering regression artifacts as an
alternative explanation for change. Also
discussed are instances when problems are
actually created, instead of solved, by
correction for regression toward the mean.
Throughout, the authors strive to
use nontechnical language and to keep simulations
and formulas as accessible as possible.
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