Show Summary Details

Page of

PRINTED FROM OXFORD HANDBOOKS ONLINE ( © Oxford University Press, 2018. All Rights Reserved. Under the terms of the licence agreement, an individual user may print out a PDF of a single chapter of a title in Oxford Handbooks Online for personal use (for details see Privacy Policy and Legal Notice).

date: 19 August 2018

Abstract and Keywords

Data analyses are statistical manipulations of numbers to help discern patterns in the data. As such, they need guidance from substantive theories in order to decide what patterns to look for, and to make sense of these patterns. The core outcomes of these manipulations are summary descriptors used to reduce the amount of information a researcher needs to digest. When such descriptors summarize data from a sample, and a researcher wishes to make inferences from the sample descriptors to the population, various inferential techniques are used. These techniques approach the inferential task from three different angles: significance testing, parameter estimation, and statistical modeling. For decisions regarding a single individual, reliability and validity of information need to be assessed. For the evaluation of the efficacy of intervention on an individual, however, the typical design used is that of an interrupted time-series analysis.

Keywords: theoretical guidance, statistical inferences, statistical modeling, measurement quality, single-subject data analyses

Access to the complete content on Oxford Handbooks Online requires a subscription or purchase. Public users are able to search the site and view the abstracts and keywords for each book and chapter without a subscription.

Please subscribe or login to access full text content.

If you have purchased a print title that contains an access token, please see the token for information about how to register your code.

For questions on access or troubleshooting, please check our FAQs, and if you can''t find the answer there, please contact us.