Getting Things in Order: Collecting and Analyzing Data on Learning

Frank E. Ritter, Josef Nerb, Erno Lehtinen

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This chapter provides a tutorial on the types of data that have been used to study sequence effects, some of the data collection methodologies that have been and will continue to be used because they are necessary to study order effects, and how to use model output as data. It starts by introducing the basic measurements typically used in experimental psychology, such as reaction times and errors. The chapter also examines the feasibility of using protocol data that, although used infrequently, offer a rich record to study order effects. It looks at how these data can be "cooked down" into theories, which can then be broken down into static and dynamic process models. Static descriptions, such as simple grammars and Markov models, depict the shape of the data. Process models perform the task that a person does in a manner that a person does and so provide a more dynamic description. Process models are inherently not only more powerful but also more difficult to use. The chapter concludes with a brief discussion on using model output as data.

Original languageEnglish (US)
Title of host publicationIn Order to Learn
Subtitle of host publicationHow the sequence of topics influences learning
PublisherOxford University Press
Volume9780195178845
ISBN (Electronic)9780199893751
ISBN (Print)9780195178845
DOIs
StatePublished - Apr 1 2010

All Science Journal Classification (ASJC) codes

  • Psychology(all)

Fingerprint Dive into the research topics of 'Getting Things in Order: Collecting and Analyzing Data on Learning'. Together they form a unique fingerprint.

Cite this