Martina Sladekova
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Dr Martina Sladekova

Lecturer in Psychological Methods
Researcher in Meta-Science

About me

I’m a Lecturer in Psychological Research Methods at University of Sussex. My research is in the area of methods and meta-science. My PhD thesis focused on the application of robust statistical methods as a means of improving the credibility of findings in psychology.

My research interests include the effectiveness of statistical methods, use of statistics and statistical understanding, reproducibility, publication bias, and adjacent meta-research. I’m also interested in critical AI literacy work, especially in the context of teaching in higher education.

I’m keen to get involved in projects related to the topics above, or to support quantitative analysis in applied research. Contact me if you’d like to collaborate.


News and highlights

  • Chapter 1 of my PhD thesis is now published in PeerJ with some updates to search methodology and terminology.

  • Chapter 3 has been accepted for publication in Royal Society Open Science. The preprint is currently available on PsyArxiv

  • Chapter 4 has been accepted for publication in Psychological Methods. Read the preprint on PsyArxiv


Research

My research interests include:

  • Meta-research
  • Statistical assumptions
  • Robustness of statistical models
  • Publication bias in meta-analyses
  • Open and transparent science
  • Reproducibility and replicability
  • Use of statistics and statistical cognition
  • How to learn and teach statistics
  • Impact of AI on learning in Higher Education
  • Critical AI literacy

Teaching

I teach on a variety of research methods modules:

  • Psychology as a Science (Year 1 UG Autumn): Measures of Central Tendency, Data Visualisation, Distributions, Probability.
  • Analysing Data (Year 1 UG Spring): Fundamentals of Statistical Methods, Uncertainty in Estimation, Null Hypothesis Significance Testing, Questionable Research Practices. Linear Models.
  • Advanced Statistics (PG Spring): Meta-analysis, Generalised Linear Models, Structural Equation Modelling
  • Dissertation (Year 3 UG/PG) | Project Supervision

Skills

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R programming.
Working in and teaching the use of RStudio & Posit Cloud.
Project-oriented workflow.
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Data simulation for analysis planning, teaching, or evaluating model performance.
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Using GitHub for version control and collaboration.
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Writing reproducible reports and manuscripts in Quarto and RMarkdown.
Building websites with Quarto, HTML, and CSS. Janky and poorly written javascript is my passion.
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Package development in R using devtools and usethis
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Accessible data visualisation using ggplot2 and associated extensions
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Development of shiny web application as tools for teaching and research communication

Collaboration

I’m interested in collaborating on projects in of the areas highlighted above or supporting quantitative analysis in applied research. Please note my position on using AI in research and get in touch if you’d like to work on a project together.

Copyright © Martina Sladekova 2025
This work is licensed under CC BY NC 4.0
Content re-use and use of AI statement



 

Copyright © 2025 Martina Sladekova