calc_df

Given sample sizes, return the used degrees of freedom
(frequently conservative) for the design and model.

Estimates power, minimum detectable effect size (MDES) and sample size requirements. The context is multilevel randomized experiments with multiple outcomes. The estimation takes into account the use of multiple testing procedures. Development of this package was supported by a grant from the Institute of Education Sciences (R305D170030). For a full package description, including a detailed technical appendix, see <doi:10.18637/jss.v108.i06>.

Luke Miratrix

PUMP

Power Under Multiplicity Project

Kristen Hunter

Zarni Htet

Kristin Porter

MDRC 

Institute of Education Sciences 

calc_df function

<dl><dt>d_m</dt>
<dd>string; a single context, which is a design and model
code. See pump_info() for list of choices.</dd>
<dt>J</dt>
<dd>scalar; the harmonic mean of number of level 2 units per
level 3 unit (schools per district). Note that this is not the
total number of level 2 units, but instead the number of level 2
units nested within each level 3 unit, so the total number of
level 2 units is J x K.</dd>
<dt>K</dt>
<dd>scalar; the number of level 3 units (districts).</dd>
<dt>nbar</dt>
<dd>scalar; the harmonic mean of the number of level 1
units per level 2 unit (students per school). Note that this is
not the total number of level 1 units, but instead the number of
level 1 units nested within each level 2 unit, so the total
number of level 1 units is nbar x J x K.</dd>
<dt>numCovar.1</dt>
<dd>scalar; number of level 1 (individual)
covariates.</dd>
<dt>numCovar.2</dt>
<dd>scalar; number of level 2 (school) covariates.</dd>
<dt>numCovar.3</dt>
<dd>scalar; number of level 3 (district) covariates.</dd>
<dt>validate</dt>
<dd>logical; whether or not to validate
if output df is &lt;= 0.</dd></dl>

Arguments

Calculate degrees of freedom (support function) — calc_df

<dl>

<dt>d_m</dt>
<dd>string; a single context, which is a design and model
code. See pump_info() for list of choices.</dd>


<dt>J</dt>
<dd>scalar; the harmonic mean of number of level 2 units per
level 3 unit (schools per district). Note that this is not the
total number of level 2 units, but instead the number of level 2
units nested within each level 3 unit, so the total number of
level 2 units is J x K.</dd>


<dt>K</dt>
<dd>scalar; the number of level 3 units (districts).</dd>


<dt>nbar</dt>
<dd>scalar; the harmonic mean of the number of level 1
units per level 2 unit (students per school). Note that this is
not the total number of level 1 units, but instead the number of
level 1 units nested within each level 2 unit, so the total
number of level 1 units is nbar x J x K.</dd>


<dt>numCovar.1</dt>
<dd>scalar; number of level 1 (individual)
covariates.</dd>


<dt>numCovar.2</dt>
<dd>scalar; number of level 2 (school) covariates.</dd>


<dt>numCovar.3</dt>
<dd>scalar; number of level 3 (district) covariates.</dd>


<dt>validate</dt>
<dd>logical; whether or not to validate
if output df is &lt;= 0.</dd>

</dl>

calc_df: Calculate degrees of freedom (support function)

Description

Usage

Value

Arguments