Summary

Design and analysis of data in single-case experiments Objectives: To know the main single-case experimental designs, their scientific rationale and quality standards. Identify appropriate situations for their use, their strengths, weaknesses and appropriate control techniques for the most common situations in research and application contexts. To know the main data analysis techniques applied in single-case experimental designs. Apply graphical and statistical analysis techniques to data according to the quality criteria used in this field.

Description

Contents:
* Scientific and methodological foundations of single-case experimental designs.
Validity of single-case experimental designs and threats to validity.
Types of single-case experimental designs
Criteria and quality standards for single-case experimental designs.
* Analysis of data in single-case experimental designs
Visual analysis: Recommendations, how to plot, types of baseline, difference between statistical and clinical significance. Limitations.
Statistical analysis: Recommendations, visual aids, trend and change statistics. Median-based measures and non-overlapping measures. Limitations
* Final recommendations

Data of the activity

Organizes:

DOCTORATE PROGRAM IN HEALTH, PSYCHOLOGY AND PSYCHIATRY

Sponsors:

INTERNATIONAL DOCTORAL SCHOOL (EIDUAL)

Date:

Thursday 25 November (16.00-20.00), Friday 26 November from 10.00 to 14.00h

Directed to:

DOCTORAL STUDENTS

No. of hours:

8 hours

Place:

https://teams.microsoft.com/dl/launcher/launcher.html?url=%2F_%23%2Fl%2Fmeetup-join%2F19%3Ameeting_MGIyOWQyMzEtMjRhMS00YTE5LTk1ZmMtOTEwNTVkOTljNmNh%40thread.v2%2F0%3Fcontext%3D%257b%2522Tid%2522%253a%25226600ae97-a0e9-47a0-914d-d55f6d1a8f5a%2522%252c%2522Oid%2522%253a%252296533adb-acf5-420e-a9a5-55ef84f3d4ea%2522%257d%26anon%3Dtrue&type=meetup-join&deeplinkId=c874904a-aed0-4812-bc68-b39b10f63cda&directDl=true&msLaunch=true&enableMobilePage=true&suppressPrompt=true

No. of places:

20

Certificate:

Issued by the organizers of the event
Registration