7 Matching Annotations
  1. Mar 2021
  2. www.tools4dev.org www.tools4dev.org
    How to choose a sample size (for the statistically challenged) | tools4dev
    1
    1. SamRose 27 Mar 2021
      survey sample size
    Visit annotations in context

    Tags

    Annotators

    URL

    tools4dev.org/resources/how-to-choose-a-sample-size/
  3. Feb 2021
  4. psyarxiv.com psyarxiv.com
    sample_size_justification.pdf
    1
    1. marta_radosevic 16 Feb 2021

      Lakens, D. (2021). Sample Size Justification. PsyArXiv. https://doi.org/10.31234/osf.io/9d3yf

      is:preprint lang:en sample size justification data collection research empirical study study design power analysis information value of information
    Visit annotations in context

    Tags

    Annotators

    URL

    psyarxiv.com/9d3yf
  5. Jan 2021
  6. www.sacog.org www.sacog.org
    3-understanding_moes_and_cvs_in_acs_sacog.pdf
    1
    1. SamRose 22 Jan 2021
      food21 cdas21 sample size margin of error Coefficient of Variance
    Visit annotations in context

    Tags

    Annotators

    URL

    sacog.org/sites/main/files/file-attachments/3-understanding_moes_and_cvs_in_acs_sacog.pdf
  7. Nov 2020
  8. dlholf.wordpress.com dlholf.wordpress.com
    Reviewing pre-prints with hypothes.is?
    1
    1. dlholf 11 Nov 2020

      This is a page note. I can write overall comments about the pre-print here.

      Tags can also be added below.

      sample size: 1
    Visit annotations in context

    Tags

    Annotators

    URL

    dlholf.wordpress.com/2020/11/11/reviewing-pre-prints-with-hypothes-is/
  9. Oct 2020
  10. stats.idre.ucla.edu stats.idre.ucla.edu
    Ordinal Logistic Regression | R Data Analysis Examples - IDRE Stats
    1
    1. drfurtado 22 Oct 2020
      Power Analyses

      Power Analyses with SPSS, R, Stata, SAS

      power analysis sample sample size research
    Visit annotations in context

    Tags

    Annotators

    URL

    stats.idre.ucla.edu/r/seminars/rcfa/
  11. Aug 2020
  12. www.journalofsurgicalresearch.com www.journalofsurgicalresearch.com
    Post Hoc Power: Not Empowering, Just Misleading
    1
    1. ErikStuchly 27 Aug 2020

      Althouse, A. D. (2020). Post Hoc Power: Not Empowering, Just Misleading. Journal of Surgical Research, 0(0). https://doi.org/10.1016/j.jss.2019.10.049

      is:article lang:en power post hoc misunderstanding null hypothesis scientific practice a priori effect sample size statistics
    Visit annotations in context

    Tags

    Annotators

    URL

    journalofsurgicalresearch.com/article/S0022-4804(20)30502-3/fulltext
  13. Jul 2020
  14. twitter.com twitter.com
    Maarten van Smeden on Twitter: "This is a kind reminder that most issues with data (e.g. measurement error, incomplete data, confounding, selection) do *not* disappear just because you have N = ginormous" / Twitter
    1
    1. ErikStuchly 19 Jul 2020

      Maarten van Smeden on Twitter: “This is a kind reminder that most issues with data (e.g. measurement error, incomplete data, confounding, selection) do not disappear just because you have N = ginormous” / Twitter. (n.d.). Twitter. Retrieved July 19, 2020, from https://twitter.com/MaartenvSmeden/status/1283313496382373890

      is:tweet lang:en data collection measurement error incomplete data confound sample size bad science statistics research
    Visit annotations in context

    Tags

    Annotators

    URL

    twitter.com/MaartenvSmeden/status/1283313496382373890