For this exercise, please try to reproduce the results from Study 1 of the associated paper (Joel, Teper, & MacDonald, 2014). The PDF of the paper is included in the same folder as this Rmd file.
In study 1, 150 introductory psychology students were randomly assigned to a “real” or a “hypothetical” condition. In the real condition, participants believed that they would have a real opportunity to connect with potential romantic partners. In the hypothetical condition, participants simply imagined that they are on a date. All participants were required to select their favorite profile and answer whether they were willing to exchange contact information.
Below is the specific result you will attempt to reproduce (quoted directly from the results section of Study 1):
We next tested our primary hypothesis that participants would be more reluctant to reject the unattractive date when they believed the situation to be real rather than hypothetical. Only 10 of the 61 participants in the hypothetical condition chose to exchange contact information with the unattractive potential date (16%). In contrast, 26 of the 71 participants in the real condition chose to exchange contact information (37%). A chi-square test of independence indicated that participants were significantly less likely to reject the unattractive potential date in the real condition compared with the hypothetical condition, X^2(1, N = 132) = 6.77, p = .009.
library(tidyverse) # for data munging
library(knitr) # for kable table formating
library(haven) # import and export 'SPSS', 'Stata' and 'SAS' Files
library(readxl) # import excel files
# #optional packages:
# library(broom)
# library(labelled)# converts SPSS's labelled to R's factor # Just Study 1
df <- read_sav('data/Empathy Gap Study 1 data.sav')df = df %>% select(ID, condition, exchangeinfo)Only 10 of the 61 participants in the hypothetical condition chose to exchange contact information with the unattractive potential date (16%). In contrast, 26 of the 71 participants in the real condition chose to exchange contact information (37%).
# reproduce the above results here
df %>%
group_by(condition) %>%
count(exchangeinfo) %>%
mutate(prop = n/sum(n),
percent = round(prop*100, 0))## # A tibble: 4 × 5
## # Groups: condition [2]
## condition exchangeinfo n prop percent
## <dbl+lbl> <dbl+lbl> <int> <dbl> <dbl>
## 1 0 [hypothetical] 1 [yes] 10 0.164 16
## 2 0 [hypothetical] 2 [no] 51 0.836 84
## 3 1 [real] 1 [yes] 26 0.366 37
## 4 1 [real] 2 [no] 45 0.634 63A chi-square test of independence indicated that participants were significantly less likely to reject the unattractive potential date in the real condition compared with the hypothetical condition, X^2(1, N = 132) = 6.77, p = .009.
Hint: if you are using the function chisq.test(), make sure to set the continuity correction to false (“correct = FALSE”) since sample size is greater than 20.
# reproduce the above results here
chisq.test(df$exchangeinfo, df$condition, correct = FALSE)##
## Pearson's Chi-squared test
##
## data: df$exchangeinfo and df$condition
## X-squared = 6.7674, df = 1, p-value = 0.009284Were you able to reproduce the results you attempted to reproduce? If not, what part(s) were you unable to reproduce?
Yes! I was able to reproduce the result.
How difficult was it to reproduce your results?
Very easy. I could infer which variables I needed to use based on thier names in the dataset.
What aspects made it difficult? What aspects made it easy?
The variable names were easy to interpret. The data was already in the format needed to run the analysis.