Jump to ContentJump to Main Navigation
In Order to LearnHow the sequence of topics influences learning$
Users without a subscription are not able to see the full content.

Frank E. Ritter, Josef Nerb, Erno Lehtinen, and Timothy O'Shea

Print publication date: 2007

Print ISBN-13: 9780195178845

Published to Oxford Scholarship Online: April 2010

DOI: 10.1093/acprof:oso/9780195178845.001.0001

Show Summary Details
Page of

PRINTED FROM OXFORD SCHOLARSHIP ONLINE (www.oxfordscholarship.com). (c) Copyright Oxford University Press, 2019. All Rights Reserved. Under the terms of the licence agreement, an individual user may print out a PDF of a single chapter of a monograph in OSO for personal use (for details see www.oxfordscholarship.com/page/privacy-policy).date: 21 April 2019

Getting Things in Order: Collecting and Analyzing Data on Learning

Getting Things in Order: Collecting and Analyzing Data on Learning

(p.81) Chapter 6 Getting Things in Order: Collecting and Analyzing Data on Learning
In Order to Learn

Frank E. Ritter

Josef Nerb

Erno Lehtinen

Oxford University Press

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.

Keywords:   sequence effects, data collection, process models

Oxford Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.

Please, subscribe or login to access full text content.

If you think you should have access to this title, please contact your librarian.

To troubleshoot, please check our FAQs , and if you can't find the answer there, please contact us .