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Association between leadership commitment and professional development at NASA (2020): weighted sex-adjusted stratified analysis

Home Page: https://philsf-biostat.github.io/SAR-2022-008-GJ/

R 100.00%
survey case-control prevalence

sar-2022-008-gj's Introduction

Association between leadership commitment and professional development at NASA (2020): weighted sex-adjusted stratified analysis

Quantify the association between leadership commitment and employee professional development at NASA from the 2020 Federal Employee Viewpoint Survey.

Statistical Analysis for techsavvy32 (fiverr.com, 2022)

Analyses performed

  1. Descriptive analysis
  2. Inferential analysis

Documents

Analytical Plan (SAP)

Statistical Analysis Report (SAR)

Associated analysis

This analysis is part of a larger project and is supported by another analysis, linked below. The other analysis employs the same methods here to answer a related research question, using different data from the FEVS survey.

Association between leadership commitment and telework satisfaction at NASA (2020): weighted sex-adjusted stratified analysis

https://philsf-biostat.github.io/SAR-2022-007-GJ/

Portfolio

This analysis is included in the consultant's portfolio. Other analyses performed can also be seen at:

https://philsf-biostat.github.io/

sar-2022-008-gj's People

Contributors

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Stargazers

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Watchers

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sar-2022-008-gj's Issues

v02

  • Title
  • Date
  • Objective
  • Context (from SAP)
  • Data & Methods (from SAP)
  • Conclusions match the results
  • Observations
  • remove watermark
  • update TOC
  • render pdf

repo setup

README

  • language (en/pt)
  • links
  • person, place, year
  • title (provisional)
  • objective (provisional)

scripts

  • basic input
  • analytical set
  • analytical mockup

documentos

  • template SAP
  • template SAR

report checklist

  • Title
  • Date
  • Objective
  • Context (from SAP)
  • Data & Methods (from SAP)
  • Conclusions match the results
  • Observations
  • remove watermark
  • update TOC
  • render pdf

data & SAP

  • Title
  • Date
  • Objective
  • Context
  • Data & Methods
  • Observations
  • remove watermark
  • update TOC
  • render document

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