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picture1_Anova Ppt 68874 | Topic 14 Two Anova


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File: Anova Ppt 68874 | Topic 14 Two Anova
objective of the session to understand two way anova through software packages 1 what is the procedure to perform two way anova 2 how do we interpret results two way ...

icon picture PPTX Filetype Power Point PPTX | Posted on 29 Aug 2022 | 3 years ago
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 Objective of the session
     To understand two-
     way anova through 
     software packages
     1. What is the procedure to 
     perform Two-way ANOVA?
     2. How do we interpret 
     results?
    Two-way ANOVA using SPSS
    
      The  two-way  ANOVA  compares  the  mean 
      differences  between  groups  that  have  been 
      split  on  two  independent  variables  (called 
      factors).    You    need     two     independent, 
      categorical  variables  and  one  continuous, 
      dependent variable .
  Objective
   
    We are interested in whether an monthly per 
    capita  food  expenditure  was  influenced  by 
    their  level  of  education  and  their    gender 
    head.   Monthly per capita food expenditure 
    with higher value meaning a better off. The 
    researcher  then  divided  the  participants  by 
    gender  head of HHs i.e Male head & Female 
    head  HHs  and  then  again  by  level  of 
    education.
    
     In  SPSS  we  separated  the  HHs  into  their 
     appropriate  groups  by  using  two  columns 
     representing  the  two  independent  variables 
     and    labelled   them    “Head_Sex"     and 
     “Head_Edu". For “head_sex", we coded males 
     as   "1"  and  females  as  “0",  and  for 
     “Head_Edu", we coded illiterate  as  "1",  can 
     sign only as "2" and can read only as "3“ and 
     can read & write as “4”. Monthly per capita 
     food  expenditure  was  entered  under  the 
     variable name, “pcmfx". 
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...Objective of the session to understand two way anova through software packages what is procedure perform how do we interpret results using spss compares mean differences between groups that have been split on independent variables called factors you need categorical and one continuous dependent variable are interested in whether an monthly per capita food expenditure was influenced by their level education gender head with higher value meaning a better off researcher then divided participants hhs i e male female again separated into appropriate columns representing labelled them sex edu for coded males as females illiterate can sign only read write entered under name pcmfx...

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