Daniel M. Swan

Research Associate, Applied Research Methods and Statistics Lab

University of Oregon


I am research associate working remotely for Dr. Emily Tanner-Smith at the University of Oregon. I provide support for evidence reviewer training for the What Works Clearinghouse for both in-person training sessions and the online group design training system. I also assist in the revision and refinement of the WWC’s Standards and Procedures Handbooks. I also spend a small amount of time each month working as a part of the of the Prevention science Institute statistical analysis support unit at UO.

My personal research primarily involves the analysis and meta-analysis of single-case designs (SCDs) in the context of education. I am particularly interested in the quality indicators of primary studies, the different kinds of inferences made in SCDs, and how the common, frequently unspoken research practices in this field might impact the intervention estimates from these kinds of studies.

I have also worked in collaboration with Dr. James E. Pustejovsky on research involving single-case designs, the direct observation of behavior, meta-analysis, and generalized linear models. My dissertation, chaired by Dr. S. Natasha Beretvas and co-chaired by Dr. Pustejovsky involved examining the impact of response-guided designs on treatment effect estimates from single-case designs. I was a consultant for the College of Education’s research design and statistical analysis consulting unit, I offered graduate students feedback and guidance on their research design and appropriate statistical analysis, tutored them on the use of statistical software, and help them to interpret their output and at least once a semester, I also provided a free, multi-day introductory workshop in using R.

Anything contained herein is my own opinion and does not represent the University of Oregon, the What Works Clearinghouse, or anyone else.


  • Research Methodology
  • Single-Case Designs
  • Meta-analysis
  • Generalized Linear Models


  • PhD Educational Psychology, Quantitative Methods, 2019

    The University of Texas at Austin

  • MEd Educational Psychology, Quantitative Methods, 2014

    The University of Texas at Austin

  • MS Psychological Sciences, 2010

    The University of Texas at Dallas

  • BA Psychology, 2008

    The University of Texas at Dallas



Postdoctoral Scholar

University of Oregon

Oct 2018 – Present Salisbury, MD - remote

As a part of the University of Oregon’s work with the American Institutes of Research in support of the WWC, my responsibilities included:

  • Produce training materials for evidence reviewer trainings
  • Update the online group design training materials
  • Provide support to the development and presentation of WWC Technical Assistance Webinars
  • Facilitate and participate in the statistics and methodology groups devoted to refining and revising the WWC’s Standards and Procedures handbooks

Prior to finishing my PhD in August of 2019, I performed these duties under a “Research Assistant” title.


Graduate Research Assistant

Meadows Center for Preventing Educational Risk

Jan 2018 – May 2018 Austin, TX
  • Analyze extant datasets for novel methodological problems.
  • Apply advanced methods such as latent growth modeling, path analysis, and multidimensional IRT models.
  • Prepare technical documentation and interpret statistical models for both technical and non-technical audiences.

Statistics and Research Design Consultant

College of Education, The University of Texas at Austin

Aug 2015 – Aug 2018 Austin, TX
  • Provide methodological guidance to graduate students on research design, power and statistical analysis, statistical programming, and interpretation of results.
  • Assist students in retrieval of datasets from a variety of sources and import them into appropriate statistical software.
  • Develop and lead workshops on relevant topics such as power analysis and programming in R to students, faculty, and staff at the University of Texas at Austin.

Graduate Research Assistant, Dr. Pustejovsky

The University of Texas at Austin

Dec 2014 – May 2018 Austin, TX
  • Collaborate on drafting manuscripts for publication in peer-reviewed methodological research journals.
  • Design and run Monte Carlo Simulations.
  • Assist in maintenance of a large Access database of single-case data from multiple synthetic reviews, including using SQL queries to read and write data.
  • Screen and code studies for synthetic review.
  • Program novel statistical methods in R and collaborate on package development to make them available to researchers.

Graduate Teaching Assistant

The University of Texas at Austin

Aug 2012 – May 2017 Austin, TX
Topics Included:

  • Introductory Statistics including levels of measurement, introductory probability, hypothesis testing, t-test, chi-square, tests of proportions, simple regression.
  • Other statistical methods such as ANOVA, ANCOVA/ATI, multiple regression, SEM (e.g. path analysis, CFA, multiple group models, invariance models, and latent growth modeling), generalized linear models (e.g. logistic regression, Poisson regression).
  • Use of software packages including SPSS, MPLUS, and R, especially advanced programming in R.
  • Quantitative research design.

Recent Posts

Spencer SCD @ Vandy Part 6: Thoughts about standards

BIG DISCLAIMER UP FRONT: These are just my opinions. They are not a reflection of anyone at IES or my colleagues doing work for SWAT …

Spencer SCD at Vandy pt 5: Do we need a central repository for SCD data?

Open research practices are of keen interest to a lot of the folks I met, particularly the grad students. I think that some kinds of …

Spencer SCD @ Vandy pt. 4: What is stability? And consequences of controlling for baseline trend

I still don’t know what stability is or how important it is Jennifer Ledford opened the conference with some important details about …

Spencer SCD @ Vandy pt. 3: Schools of analysis for SCDs and relevant design choices

Schools of Analysis and Research Design Choices When I was developing my own review of literature for the analysis of SCDs for my …

Spencer SCD @ Vandy Part 2: Functional Relation

I have misunderstood the “functional relation” and potential implications for meta-analysis Prior to my time at the conference, I had …


gem_scd shiny app

NOTE: This post is quite old, and from a previous version of my website. You can find the published version of this article here I have …


An examination of measurement procedures and characteristics of baseline outcome data in single-case research

There has been growing interest in using statistical methods to analyze data and estimate effect size indices from studies that use …

A gradual effects model for single-case designs

Single-case designs are a class of repeated measures experiments used to evaluate the effects of interventions for small or specialized …

The impact of response-guided designs on count outcomes in single-case experimental design baselines

In single-case experimental design (SCED) research, researchers often choose when to start treatment based on whether the baseline data …

Four methods for analyzing partial interval recording data, with application to single-case research

Partial interval recording (PIR) is a procedure for collecting measurements during direct observation of behavior. It is used in …

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