  <record>
    <language>eng</language>
    <publisher>TQMP</publisher>
    <journalTitle>Tutorials in Quantitative Methods for Psychology</journalTitle>
    <issn>1913-4126</issn>
    <publicationDate>2011-04-01</publicationDate>
    <volume>7</volume>
    <issue>1</issue>
    <startPage>1</startPage>
    <endPage>4</endPage>
    <documentType>article</documentType>
    <title language="eng">Non-central t distribution and the power of the t test: A rejoinder</title>

    <authors>
      <author>
        <name>Denis Cousineau</name>
        <email>denis.cousineau@umontreal.ca</email>
        <affiliationId>1</affiliationId>
      </author>

      <author>
        <name>Louis Laurencelle</name>
        <email>louis.laurencelle@uqtr.ca</email>
        <affiliationId>2</affiliationId>
      </author>




    </authors>

    <affiliationsList>
      <affiliationName affiliationId="1">Université de Montréal</affiliationName>

      <affiliationName affiliationId="2">Université du Québec à Trois-Rivières</affiliationName>




    </affiliationsList>

    <abstract language="eng">
       Non-central t distribution needed for assessing the power of the t test is described. Three approximations are compared and their merits discussed in regard to simplicity and accuracy.  
    </abstract>

    <fullTextUrl format="pdf">http://www.tqmp.org/Content/vol07-1/p001/p001.pdf</fullTextUrl>

    <keywords language="eng">    
      <keyword>Statistical power</keyword>

      <keyword>t test</keyword>


      <keyword>Noncentral t distribution</keyword>



    </keywords>
  </record>


