Literature DB >> 21656107

Characteristics of single-case designs used to assess intervention effects in 2008.

William R Shadish1, Kristynn J Sullivan.   

Abstract

This article reports the results of a study that located, digitized, and coded all 809 single-case designs appearing in 113 studies in the year 2008 in 21 journals in a variety of fields in psychology and education. Coded variables included the specific kind of design, number of cases per study, number of outcomes, data points and phases per case, and autocorrelations for each case. Although studies of the effects of interventions are a minority in these journals, within that category, single-case designs are used more frequently than randomized or nonrandomized experiments. The modal study uses a multiple-baseline design with 20 data points for each of three or four cases, where the aim of the intervention is to increase the frequency of a desired behavior; but these characteristics vary widely over studies. The average autocorrelation is near to but significantly different from zero; but autocorrelations are significantly heterogeneous. The results have implications for the contributions of single-case designs to evidence-based practice and suggest a number of future research directions.

Mesh:

Year:  2011        PMID: 21656107     DOI: 10.3758/s13428-011-0111-y

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  32 in total

Review 1.  Single-case experimental designs: a systematic review of published research and current standards.

Authors:  Justin D Smith
Journal:  Psychol Methods       Date:  2012-07-30

2.  An Overview of Scientific Reproducibility: Consideration of Relevant Issues for Behavior Science/Analysis.

Authors:  Sean Laraway; Susan Snycerski; Sean Pradhan; Bradley E Huitema
Journal:  Perspect Behav Sci       Date:  2019-03-22

3.  A single case design to examine short-term intracranial EEG patterns during focused meditation.

Authors:  Dana Dharmakaya Colgan; Tab Memmott; Dan Klee; Lia Ernst; Seunggu J Han; Barry Oken
Journal:  Neurosci Lett       Date:  2019-08-17       Impact factor: 3.046

4.  The randomized marker method for single-case randomization tests: Handling data missing at random and data missing not at random.

Authors:  Tamal Kumar De; Patrick Onghena
Journal:  Behav Res Methods       Date:  2022-02-07

5.  Comparing Visual and Statistical Analysis in Single-Case Studies Using Published Studies.

Authors:  Magadalena Harrington; Wayne F Velicer
Journal:  Multivariate Behav Res       Date:  2015       Impact factor: 5.923

6.  Sample size calculations for micro-randomized trials in mHealth.

Authors:  Peng Liao; Predrag Klasnja; Ambuj Tewari; Susan A Murphy
Journal:  Stat Med       Date:  2015-12-28       Impact factor: 2.373

7.  An updated statement for the Clinical Case Applications section: suggestions for clinical and empirical case reports.

Authors:  Justin D Smith; Robert E Erard; Leonard Handler
Journal:  J Pers Assess       Date:  2013-07-11

8.  Dealing with missing data by EM in single-case studies.

Authors:  Li-Ting Chen; Yanan Feng; Po-Ju Wu; Chao-Ying Joanne Peng
Journal:  Behav Res Methods       Date:  2020-02

9.  Multilevel meta-analysis of multiple regression coefficients from single-case experimental studies.

Authors:  Laleh Jamshidi; Lies Declercq; Belén Fernández-Castilla; John M Ferron; Mariola Moeyaert; S Natasha Beretvas; Wim Van den Noortgate
Journal:  Behav Res Methods       Date:  2020-10

10.  A Physical Therapy Intervention to Advance Cognitive and Motor Skills: A Single Subject Study of a Young Child With Cerebral Palsy.

Authors:  Stacey C Dusing; Reggie T Harbourne; Michele A Lobo; Sally Westcott-McCoy; James A Bovaird; Audrey E Kane; Gullnar Syed; Emily C Marcinowski; Natalie A Koziol; Shaaron E Brown
Journal:  Pediatr Phys Ther       Date:  2019-10       Impact factor: 3.049

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