Quantitative :: Digital devices in the public space
The objective is to estimate the impact of digital media on human society in June 2019 (AE49).
What You'll need is:

1) Few print-outs of the Media-to-Human protocol (M2H-protocol) , c.f. below
2) Systematic approach

Fisher Test 1
> 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 
How to fill M2H protocol :: Digital devices in the public space

  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.

Anna
Hello, I will do this experiment (Anna)! :)
Pariticpants
Adam, Philip, Maja, Daniel, Aaron, Anna
First ANOVA (n=2000)

> 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


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

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