Gilbert_meta 97-99 [cleaned And Ready For Upload]

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Introduction

The gilbert_meta dataset is a comprehensive collection of responses from 8,000 participants across three scales: psychological capital (97), gratitude (98), and happiness (99). The dataset contains 290,000 item responses, providing valuable insights into the psychological well-being of individuals. In this article, we will delve into the details of the dataset, explore the code used to clean and prepare it for analysis, and discuss the potential applications of this dataset in various fields.

Data Overview

The gilbert_meta dataset consists of three scales, each measuring a different aspect of psychological well-being. The scales are:

  • Psychological Capital (97): This scale measures an individual's psychological capital, which includes their sense of hope, resilience, and optimism.
  • Gratitude (98): This scale assesses an individual's level of gratitude, which is essential for maintaining positive relationships and overall well-being.
  • Happiness (99): This scale evaluates an individual's level of happiness, which is a critical indicator of their overall quality of life.

The dataset contains 290,000 item responses from 8,000 participants, providing a rich source of data for researchers and analysts. The data is available for download from the Harvard Dataverse repository, and the code used to clean and prepare the data is provided below.

Data:

Code

The code used to clean and prepare the gilbert_meta dataset is written in R and utilizes the read_dta function from the haven package to read the Stata files. The code is as follows:

adam2025 <- read_dta(glue("{raw}/97 PsyCapSASTrial.dta")) |> 
  select(id = case_id, 
         treat = arm,
         # covariates
         cov_age = age,
         cov_sex = sex,
         cov_eth = ethnicitysimplified,
         cov_nationality = nationality,
         cov_language = language,
         # psychological capital
         psyo1:psyr3, fu_psyo1:fu_psyr3,
         # gratitude
         gq1:gq6, fu_gq1:fu_gq6,
         # happiness
         happy_scale, fu_happy_scale
         ) |> 
  # simplify treatment by collapsing control
  # (based on stata labels)
  mutate(treat = if_else(treat == 2, 1, 0)) |> 
  # pivot to long
  pivot_longer(psyo1:fu_happy_scale, names_to = "item", values_to = "resp") |> 
  drop_na(resp) |> 
  mutate(
    # extract the wave
    wave = if_else(str_detect(item, "fu_"), 2, 1),
    # make items the same across waves
    item = str_remove(item, "fu_"),
    # get subtest
    test = substr(item, 1, 2)
    ) |> 
  arrange(id, item, wave)

export(adam2025, "ps", 97)
export(adam2025, "gq", 98)
export(adam2025, "ha", 99)

This code performs the following tasks:

  1. Reads the Stata files using the read_dta function.
  2. Selects the relevant variables, including the treatment variable, covariates, and the three scales.
  3. Simplifies the treatment variable by collapsing the control group.
  4. Pivots the data from wide to long format.
  5. Drops any missing values.
  6. Extracts the wave number from the item names.
  7. Makes the item names the same across waves.
  8. Gets the subtest from the item names.
  9. Arranges the data by ID, item, and wave.
  10. Exports the cleaned data to separate files for each scale.

Potential Applications

The gilbert_meta dataset has numerous potential applications in various fields, including:

  • Psychology: The dataset can be used to investigate the relationships between psychological capital, gratitude, and happiness, and to develop interventions to improve these outcomes.
  • Public Health: The dataset can be used to examine the impact of psychological capital, gratitude, and happiness on physical health outcomes, such as cardiovascular disease and mortality.
  • Education: The dataset can be used to investigate the relationships between psychological capital, gratitude, and happiness in educational settings, and to develop interventions to improve student outcomes.
  • Business: The dataset can be used to examine the impact of psychological capital, gratitude, and happiness on employee well-being and productivity.

Conclusion

Q&A

Q: What is the gilbert_meta dataset? A: The gilbert_meta dataset is a comprehensive collection of responses from 8,000 participants across three scales: psychological capital (97), gratitude (98), and happiness (99).

Q: What are the three scales in the gilbert_meta dataset? A: The three scales in the gilbert_meta dataset are:

  • Psychological Capital (97): This scale measures an individual's psychological capital, which includes their sense of hope, resilience, and optimism.
  • Gratitude (98): This scale assesses an individual's level of gratitude, which is essential for maintaining positive relationships and overall well-being.
  • Happiness (99): This scale evaluates an individual's level of happiness, which is a critical indicator of their overall quality of life.

Q: How many item responses are in the gilbert_meta dataset? A: The gilbert_meta dataset contains 290,000 item responses from 8,000 participants.

Q: What is the purpose of the code used to clean and prepare the gilbert_meta dataset? A: The code used to clean and prepare the gilbert_meta dataset is designed to:

  1. Read the Stata files using the read_dta function.
  2. Select the relevant variables, including the treatment variable, covariates, and the three scales.
  3. Simplify the treatment variable by collapsing the control group.
  4. Pivots the data from wide to long format.
  5. Drops any missing values.
  6. Extracts the wave number from the item names.
  7. Makes the item names the same across waves.
  8. Gets the subtest from the item names.
  9. Arranges the data by ID, item, and wave.
  10. Exports the cleaned data to separate files for each scale.

Q: What are the potential applications of the gilbert_meta dataset? A: The gilbert_meta dataset has numerous potential applications in various fields, including:

  • Psychology: The dataset can be used to investigate the relationships between psychological capital, gratitude, and happiness, and to develop interventions to improve these outcomes.
  • Public Health: The dataset can be used to examine the impact of psychological capital, gratitude, and happiness on physical health outcomes, such as cardiovascular disease and mortality.
  • Education: The dataset can be used to investigate the relationships between psychological capital, gratitude, and happiness in educational settings, and to develop interventions to improve student outcomes.
  • Business: The dataset can be used to examine the impact of psychological capital, gratitude, and happiness on employee well-being and productivity.

Q: Where can I download the gilbert_meta dataset? A: The gilbert_meta dataset is available for download from the Harvard Dataverse repository.

Q: What is the license for the gilbert_meta dataset? A: The gilbert_meta dataset is licensed under the Public Domain (PD) license.

Q: Who is the author of the gilbert_meta dataset? A: The author of the gilbert_meta dataset is not specified in the provided information.

Q: What is the date of the gilbert_meta dataset A: The date of the gilbert_meta dataset is not specified in the provided information.

Q: What is the size of the gilbert_meta dataset? A: The size of the gilbert_meta dataset is not specified in the provided information.

Q: What is the format of the gilbert_meta dataset? A: The format of the gilbert_meta dataset is CSV (Comma Separated Values).

Q: Can I use the gilbert_meta dataset for commercial purposes? A: The license for the gilbert_meta dataset is Public Domain (PD), which means that it can be used for commercial purposes without any restrictions.