Personality - Murray and Big five theory

[ben-domingue]

https://osf.io/wkzan/
approval via email 12-13-2024

[ben-domingue]

instructions sent from author

This last month another manuscript—this time on personality—was accepted for publication. The dataset is at https://osf.io/wkzan/
I always use the same osf structure:

• Original data means the raw data. If you open this dataframe on Excel, it will be a little hard to understand. In this case, this manuscript dealt with about 300,000 respondents.
• Processing and analysis has two folders. I tend to upload a data processing and a data analysis markdown to "Command file" and an importable dataframe in csv and R format to Importable data.
  -- This time I was lazy and just kept one markdown file for data processing and data analysis.
  -- If you download the original data and the R notebook to your computer and click "run all" in R, you'll get the same results published.
• Results will be updated with the final version of the manuscript after getting published by the journal.

[KingArthur0205]

272,845 participants responded to total of 155 questions on a scale of 1-7.

From the title of article, I assume that these 155 questions comes from 2 subscales: (1) Big Five Personality Traits(usually have around 30-50 questions) and (2) Murray’s Needs Theory(usually have 100~ questions)

The relevant covariates are: sexo(sex), idade(age), profissāo(profession), and instituição(institutions)

[KingArthur0205]

Data:
Sent to Ben

Code:

# Paper:
# Data: https://osf.io/wkzan/
library(haven)
library(dplyr)
library(tidyr)

df <- read.csv("IFP maior planilha do mundo IFP.csv")
df <- df |>
  select(sexo, idade, profissão, 	instituição, starts_with("r")) |>
  rename(cov_sex=sexo, cov_age=idade, cov_profession=profissão, cov_institution=instituição)
df$id <- seq_len(nrow(df))
df <- pivot_longer(
  df,
  cols = starts_with("r"),
  names_to = "item",
  values_to = "resp"
)
df <- df %>%
  mutate(resp = ifelse(resp %in% 1:7, resp, NA))

save(df, file="mbft_anunciacao_2024.rdata")
write.csv(df, "mbft_anunciacao_2024.csv", row.names=FALSE)

[KingArthur0205]

I don't think there is a reference for this data yet(as the author said the article hasn't been published)

[ben-domingue]

re the citation @KingArthur0205 maybe we just make a cite for the webpage? https://osf.io/wkzan/
a @misc entry as described here?
https://tex.stackexchange.com/questions/3587/how-can-i-use-bibtex-to-cite-a-web-page

[ben-domingue]

@KingArthur0205 ship PR?

[KingArthur0205]

@ben-domingue Ye I think we'll have to use the citation for webpage for now. I'll ship a PR for code and data rn : )

[ben-domingue]

citing the webpage is suboptimal but better to hvae something i guess (and we can always edit later)

[KingArthur0205]

PR for BibTex: datapages/irw#36
PR for this issue: #762
Data Spreadsheet is also updated