<record>
    <language>eng</language>
    <publisher>TQMP</publisher>
    <journalTitle>Tutorials in Quantitative Methods for Psychology</journalTitle>
    <eissn>1913-4126</eissn>
    <publicationDate>2012-02-20</publicationDate>
    <volume>8</volume>
    <issue>1</issue>
    <startPage>1</startPage>
    <endPage>22</endPage>
	<doi>10.20982/tqmp.08.1.p001</doi>
    <documentType>article</documentType>
    <title language="eng">Decomposing interactions using GLM in combination with the COMPARE, LMATRIX and MMATRIX subcommands in SPSS </title>

    <authors>
      <author>
        <name>Howell, Glen T.</name>
        <email>ghowell_@hotmail.com</email>
        <affiliationId>1</affiliationId>
      </author>
      <author>
        <name>Lacroix, Guy L.</name>
        <email>guy_lacroix@carleton.ca</email>
        <affiliationId>1</affiliationId>
      </author>
    </authors>

    <affiliationsList>
      <affiliationName affiliationId="1">Carleton University</affiliationName>
    </affiliationsList>

    <abstract language="eng">
       In  this  tutorial,  we  provide  researchers  who  use  SPSS  step-by-step  instructions  for decomposing interactions  when  a three-way ANOVA is conducted using the  GLM procedure.  We  start  with  a  demonstration  of  how  a  two-way  interaction  can  be decomposed using the COMPARE subcommand in combination with syntax. Then, we provide  instructions  with  examples  for  conducting  simple  interaction  and  second-order simple effects analyses for three-way ANOVAs with between-subjects, within-subjects, and  mixed  between- and  within-subjects  variables using the LMATRIX or MMATRIX subcommands. Provided in Appendices are general rules that can be used to derive design-specific LMATRIX and MMATRIX subcommands.  
    </abstract>

    <fullTextUrl format="pdf">https://www.tqmp.org/RegularArticles/vol08-1/p001/p001.pdf</fullTextUrl>

    <keywords language="eng">    
      <keyword>ANOVA</keyword>
      <keyword>interactions</keyword>
      <keyword>GLM</keyword>
      <keyword>SPSS</keyword>
      <keyword>SPSS</keyword>
    </keywords>
  </record>