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• X Quantitative :: Digital devices in the public space is_parent of Fisher Test 1 (ID: 4407 :: weight 1) :: TEXTREC ::
  > m2h=matrix(c(37, 35, 51, 21),nrow=2)
  > m2h
       [,1] [,2]
  [1,]   37   51
  [2,]   35   21
  > fisher.test(m2h)
  Fisher's Exact Test for Count Data
  data:  m2h
  p-value = 0.02586
  alternative hypothesis: true odds ratio is not equal to 1
  95 percent confidence interval:
   0.2061805 0.9127551
  
  
  sample estimates:
  odds ratio 
   0.4378763 
• X Quantitative :: Digital devices in the public space is_parent of How to fill M2H protocol :: Digital devices in the public space (ID: 5188 :: weight 1) :: TEXTREC ::
  
  
  1. Fill the header of the protocol before entering the transport.
  
  
  2. Systematically proceed from one end of transport to the other.
  
  
  3. Do not hurry, quality (truthfulness of data) is more important than quantity.
  
  
  4. Be discrete, smile, use Your peripheral vision.
  
  
  5. Be rigorous :: Do not log one subject more than once even if their state changes. Try not to exclude anyone.
  
  
  6. At every station, wait a while until people sit down. Record only sitting and standing people.
  
  
  7. Note down any unexpected event (either environmental or intrapersonal) on the other (blank) side of the paper.
  8. Prefer information about media usage instead of interaction/misc. information.
  
  
• X Quantitative :: Digital devices in the public space is_parent of Anna (ID: 5202 :: weight 1) :: TEXTREC ::
  Hello, I will do this experiment (Anna)! :)
• X Quantitative :: Digital devices in the public space is_parent of Pariticpants (ID: 5203 :: weight 1) :: TEXTREC ::
  Adam, Philip, Maja, Daniel, Aaron, Anna
• X Quantitative :: Digital devices in the public space is_parent of First ANOVA (n=2000) (ID: 5239 :: weight 1) :: TEXTREC ::

  > m2h=read.table("M2H_observations.csv",sep=",",header=TRUE)

  
  

   

  
  

  > m2h_model=lm(OBSERVATIONS~GENDER*MEDIA*WOCHENTAG*OBSERVER,m2h)

  
  

  > anova(m2h_model)

  
  

  Analysis of Variance Table

  
  

   

  
  

  Response: OBSERVATIONS

  
  

  Df Sum Sq Mean Sq F value Pr(>F)

  
  

  GENDER 1 0.9 0.88 0.0347 0.8523733

  
  

  MEDIA 7 15653.3 2236.18 88.1365 < 2.2e-16 ***

  
  

  WOCHENTAG 3 495.5 165.17 6.5099 0.0003290 ***

  
  

  OBSERVER 4 1328.1 332.02 13.0862 2.123e-09 ***

  
  

  GENDER:MEDIA 7 57.7 8.25 0.3250 0.9419604

  
  

  GENDER:WOCHENTAG 3 15.4 5.14 0.2026 0.8945048

  
  

  MEDIA:WOCHENTAG 21 1217.0 57.95 2.2841 0.0018619 **

  
  

  GENDER:OBSERVER 4 20.0 5.01 0.1973 0.9395594

  
  

  MEDIA:OBSERVER 28 1636.4 58.44 2.3034 0.0005379 ***

  
  

  WOCHENTAG:OBSERVER 1 84.5 84.49 3.3302 0.0696387 .

  
  

  GENDER:MEDIA:WOCHENTAG 21 172.8 8.23 0.3244 0.9980821

  
  

  GENDER:MEDIA:OBSERVER 28 127.2 4.54 0.1790 0.9999992

  
  

  GENDER:WOCHENTAG:OBSERVER 1 0.0 0.05 0.0018 0.9657824

  
  

  MEDIA:WOCHENTAG:OBSERVER 7 150.1 21.44 0.8449 0.5514657

  
  

  GENDER:MEDIA:WOCHENTAG:OBSERVER 7 60.1 8.58 0.3383 0.9355206

  
  

  Residuals 184 4668.4 25.37

  
  

  ---

  
  

  Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

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