#statstab #510 A Note on Dropping Experimental Subjects who Fail a Manipulation Check

Thoughts: Another paper to consider when "removing participants who failed our manipulation check"🤷‍♂️

#manipulationcheck #estimand #experiment #design #bias #guide #assumptions #missingdata

https://doi.org/10.1017/pan.2019.5

Marcus' Technical Insight: Generic

Generic Unknown Data Logging Issue: Historical Data Missing

#Generic #Unknown #MissingData

🔍 Full Report: https://www.storagefaults.com/generic/unknown/data-logging-issue-historical-data-missing

Happy to share my newest writing «Missing Data as Political Force» with you.

While "missing data" is often considered a problem, as in the context of adequate representation, the current authoritarian wave shows that data can offer recognition and oppression. For example, ICE's brutal use of personal data to target individuals with migration backgrounds. Conversely, restricting access to data and services can be employed as political pressure.

To navigate this "paradox of exposure" (as coined by Catherine D'Ignazio and Lauren Klein) and missing data's relational nature (as argued by Alessandra Jungs de Almeida), I draw on theories of social and data justice, namely Bonnycastle’s continuum of social justice and Fraser’s abnormal justice, to show how missing data lies between social equality and oppression and can be analysed based on (mis)distribution, (mis)recognition, and (mis)representation.

• Full Issue: https://www.diid.it/diid/index.php/diid/issue/view/diid-87
• My paper: https://www.diid.it/diid/index.php/diid/article/view/frischknecht

#criticaldatastudies #datactivism #missingdata #politicalforce

My Missing Data Imputation in R course is now available as a fully self-paced course, with full access to all materials and recordings, and the option to ask questions at any time in the comment section.

More info: https://statisticsglobe.com/online-course-missing-data-imputation-r

#missingdata #statistics #datascience #rstats

Storage Fault Analysis: Generic

Generic Unknown Data Logging Issue: Historical Data Missing

#Generic #Unknown #MissingData

🔍 Full Report: https://www.storagefaults.com/generic/unknown/data-logging-issue-historical-data-missing

The image below comes from a recent paper by Grzesiak et al. (2025). For more details and additional results across different data settings, see: https://arxiv.org/pdf/2511.04833

Dive deeper in my course: https://statisticsglobe.com/online-course-missing-data-imputation-r

#rstats #statistics #missingdata #datascience

🚨New Course Alert!!
🧩Handling Missing Data in R

Join our 3-day hands-on course (22–24 April) to learn how to diagnose missingness (MCAR/MAR/MNAR) & apply modern imputation methods (Multiple Imputation, EM, Soft Impute) in R

https://www.physalia-courses.org/courses-workshops/missing-data-with-r/

#Rstats #MissingData

We are now in the second week of my course on Missing Data Imputation in R, and the visualization below shows a few of the topics we have already discussed.

You can still join here: https://statisticsglobe.com/online-course-missing-data-imputation-r

#missingdata #statistics #datascience #rstats

The Statistics Globe online course, "Missing Data Imputation in R," starts tomorrow: statisticsglobe.com/online-cours...

Two free modules:

- Module 1: statisticsglobe.com/online-cours...

- Module 4: statisticsglobe.com/online-cours...

#rstats #statistics #datascience #missingdata #imputation

Next Monday, the Statistics Globe online course on Missing Data Imputation in R will begin.

Check out the course: https://statisticsglobe.com/online-course-missing-data-imputation-r

#rstats #missingdata #datascience #statistics