Univariate analyses

Are you a member of the EHPS?

  Frequencies Perc.Total Perc.Valid Cumulative
No 144 50.5 50.5 50.5
Yes, for up to one year 37 13 13 63.5
Yes, for 1-5 years 40 14 14 77.5
Yes, for 6-10 years 32 11.2 11.2 88.8
Yes, for 10+ years 32 11.2 11.2 100
Total valid 285 100 100 NA

Do you have and use Facebook?

  Frequencies Perc.Total Perc.Valid Cumulative
I don’t have a Facebook account 54 18.9 19 19
I have a Facebook account but I barely use it 51 17.9 18 37
I have a Facebook account and check it at least weekly 31 10.9 10.9 47.9
I have a Facebook account and check it (almost) daily 65 22.8 22.9 70.8
I have a Facebook account and check it several times a day 83 29.1 29.2 100
Total valid 284 99.6 100 NA
NA (missing) 1 0.4 NA NA
Total 285 100 NA NA

Do you think the EHPS should have an official FB page in addition to the existing webpage?

  Frequencies Perc.Total Perc.Valid Cumulative
No, I don’t see the use 60 21.1 21.1 21.1
Yes, why not; it could be a useful tool to promote the society 153 53.7 53.7 74.7
Yes, enthusiastically; it would definitely be an added value to me 30 10.5 10.5 85.3
I have no opinion 42 14.7 14.7 100
Total valid 285 100 100 NA

Bivariate analyses

Association between EHPS membership and Facebook use

Data inspection: crosstable and heatmap

  No Yes, for up to one year Yes, for 1-5 years Yes, for 6-10 years Yes, for 10+ years
I don’t have a Facebook account 31 4 3 7 9
I have a Facebook account but I barely use it 15 4 7 8 17
I have a Facebook account and check it at least weekly 14 4 5 6 2
I have a Facebook account and check it (almost) daily 39 10 10 4 2
I have a Facebook account and check it several times a day 45 15 14 7 2

Effect size estimation

The 95% confidence interval and point estimate for Cramèr’s V are:

## Cramér's V 95% confidence interval (point estimate = .22):  
## Bootstrapped: [NA; NA]  
## Using Fisher's z: [.1; .32]

Null hypothesis significance testing

Chi Square test:

## Warning in chisq.test(dat$hasfb, dat$member): Chi-squared approximation may
## be incorrect
## 
##  Pearson's Chi-squared test
## 
## data:  dat$hasfb and dat$member
## X-squared = 52.923, df = 16, p-value = 7.766e-06

Fisher’s exact test:

## Encountered an error:
## FEXACT error 6.
## LDKEY is too small for this problem.
## Try increasing the size of the workspace.

Association between EHPS membership and EHPS FB preference

Data inspection: crosstable and heatmap

  No Yes, for up to one year Yes, for 1-5 years Yes, for 6-10 years Yes, for 10+ years
No, I don’t see the use 25 8 14 9 4
Yes, why not; it could be a useful tool to promote the society 72 24 19 18 20
Yes, enthusiastically; it would definitely be an added value to me 16 2 7 3 2
I have no opinion 31 3 0 2 6

Effect size estimation

The 95% confidence interval and point estimate for Cramèr’s V are:

## Cramér's V 95% confidence interval (point estimate = .17):  
## Bootstrapped: [NA; NA]  
## Using Fisher's z: [.06; .28]

Null hypothesis significance testing

Chi Square test:

## Warning in chisq.test(dat$fbpage, dat$member): Chi-squared approximation
## may be incorrect
## 
##  Pearson's Chi-squared test
## 
## data:  dat$fbpage and dat$member
## X-squared = 25.35, df = 12, p-value = 0.01325

Fisher’s exact test:

## Encountered an error:
## FEXACT error 6.
## LDKEY is too small for this problem.
## Try increasing the size of the workspace.

Association between Facebook use and EHPS FB preference

Data inspection: crosstable and heatmap

  No, I don’t see the use Yes, why not; it could be a useful tool to promote the society Yes, enthusiastically; it would definitely be an added value to me I have no opinion
I don’t have a Facebook account 20 17 2 15
I have a Facebook account but I barely use it 15 27 0 9
I have a Facebook account and check it at least weekly 9 17 2 3
I have a Facebook account and check it (almost) daily 7 38 10 10
I have a Facebook account and check it several times a day 9 54 15 5

Effect size estimation

The 95% confidence interval and point estimate for Cramèr’s V are:

## Cramér's V 95% confidence interval (point estimate = .24):  
## Bootstrapped: [NA; NA]  
## Using Fisher's z: [.13; .35]

Null hypothesis significance testing

Chi Square test:

## Warning in chisq.test(dat$hasfb, dat$fbpage): Chi-squared approximation may
## be incorrect
## 
##  Pearson's Chi-squared test
## 
## data:  dat$hasfb and dat$fbpage
## X-squared = 49.641, df = 12, p-value = 1.616e-06

Fisher’s exact test:

## Encountered an error:
## FEXACT error 6.
## LDKEY is too small for this problem.
## Try increasing the size of the workspace.