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pro vyhledávání: '"Tamal Kumar De"'
Autor:
Patrick Onghena, Tamal Kumar De
Publikováno v:
Behavior research methods. 54(6)
Single-case experiments are frequently plagued by missing data problems. In a recent study, the randomized marker method was found to be valid and powerful for single-case randomization tests when the missing data were missing completely at random. H
Publikováno v:
Behaviour Research and Therapy. 117:18-27
Randomization tests for alternating treatments designs, multiple baseline designs, and withdrawal/reversal designs are well-established. Recent classifications, however, also mention the "changing criterion design" as a fourth important type of singl
Publikováno v:
Dipòsit Digital de la UB
Universidad de Barcelona
Universidad de Barcelona
Consistency is one of the crucial single-case data aspects that are expected to be assessed visually, when evaluating the presence of an intervention effect. Complementarily to visual inspection, there have been recent proposals for quantifying the c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd4ed72993145adf0b22d50196552186
http://hdl.handle.net/2445/180841
http://hdl.handle.net/2445/180841
Autor:
Charlotte Gentili, Falko F. Sniehotta, Salima Punja, Johan W.S. Vlaeyen, Tamal Kumar De, Laura E. Simons, Rikard K. Wicksell, Steven J. Linton, Patrick Onghena, Robyn L. Tate, Sunita Vohra
Publikováno v:
Psychological Record, 70(4), 659-670. Psychological Record
With the objective of increasing the magnitude of treatment effects in behavioral health, there is steadily growing interest in tailoring assessments and interventions to better match individual needs. This aligns with the central idea that behavior
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ae1cca4e3ac32b1608451b9c088dd46
https://cris.maastrichtuniversity.nl/en/publications/88f881d9-e6ce-4a1d-86b8-ae1f25914bc1
https://cris.maastrichtuniversity.nl/en/publications/88f881d9-e6ce-4a1d-86b8-ae1f25914bc1
Previous research has introduced several effect size measures (ESMs) to quantify data aspects of single-case experimental designs (SCEDs): level, trend, variability, overlap, and immediacy. In the current article, we extend the existing literature by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6659b4f7e9d49dee2be02f872a6b34aa
https://lirias.kuleuven.be/handle/123456789/636109
https://lirias.kuleuven.be/handle/123456789/636109
Publikováno v:
Behavior research methods. 52(3)
Single-case experiments have become increasingly popular in psychological and educational research. However, the analysis of single-case data is often complicated by the frequent occurrence of missing or incomplete data. If missingness or incompleten
Autor:
Tamal Kumar De
Publikováno v:
Proceedings of the 2020 AERA Annual Meeting.
We present an approach to draw multiple and powerful inferences for each data aspect of single-case ABAB phase designs: level, trend, variability, overlap, immediacy, and consistency of data patterns. We show step-by-step how effect size measures can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27f365ff20ef745d97ba48607df7a04f
https://lirias.kuleuven.be/handle/123456789/638084
https://lirias.kuleuven.be/handle/123456789/638084
Publikováno v:
Behavior research methods. 52(2)
Multilevel models (MLMs) have been proposed in single-case research to synthesize data from a group of cases in a multiple-baseline design (MBD). A limitation of this approach is that MLMs require several statistical assumptions that are often violat
The current article presents a systematic review of consistency in single-case ABAB phase designs. We applied the CONsistency of DAta Patterns (CONDAP) measure to a sample of 460 data sets retrieved from 119 applied studies published over the past 50
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2aa1a8f2e3034075fd65578b5f2d7f19
https://psyarxiv.com/62t7w
https://psyarxiv.com/62t7w