Violin Plots as Visual Tools in the Meta-Analysis of Single-Case Experimental Designs

被引：30

作者：

Tanious, Rene ^{[1
]}

Manolov, Rumen ^{[2
]}

机构：

[1] Katholieke Univ Leuven, Methodol Educ Sci Res Grp, Fac Psychol & Educ Sci, Leuven, Belgium

[2] Univ Barcelona, Fac Psychol, Dept Social Psychol & Quantitat Psychol, Barcelona, Spain

来源：

METHODOLOGY-EUROPEAN JOURNAL OF RESEARCH METHODS FOR THE BEHAVIORAL AND SOCIAL SCIENCES | 2022年 / 18卷 / 03期

关键词：

single-case experimental designs; meta-analysis; violin plots; visual analysis; MULTILEVEL MODELS; QUALITY; DIFFERENCE; BOX;

D O I：

10.5964/meth.9209

中图分类号：

O1 [数学]; C [社会科学总论];

学科分类号：

03 ; 0303 ; 0701 ; 070101 ;

摘要：

Despite the existence of sophisticated statistical methods, systematic reviews regularly indicate that single-case experimental designs (SCEDs) are predominantly analyzed through visual tools. For the quantitative aggregation of results, different meta-analytical techniques are available, but specific visual tools for the meta-analysis of SCEDs are lacking. The present article therefore describes the use of violin plots as visual tools to represent the raw data. We first describe the underlying rationale of violin plots and their main characteristics. We then show how the violin plots can complement the statistics obtained in a quantitative meta-analysis. The main advantages of violin plots as visual tools in meta-analysis are (a) that they preserve information about the raw data from each study, (b) that they have the ability to visually represent data from different designs in one graph, and (c) that they enable the comparison of score distributions from different experimental phases from different studies.

引用

页码：221 / 238

页数：18

共 48 条

[31]

R Core Team, 2019, R LANG ENV STAT COMP

[32]

Schlosser R.W., 2008, EVIDENCE BASED COMMU, V2, P117, DOI [DOI 10.1080/17489530802520429, 10.1080/17489530802520429]

[33] THE QUANTITATIVE SYNTHESIS OF SINGLE-SUBJECT RESEARCH - METHODOLOGY AND VALIDATION [J].

SCRUGGS, TE ;

MASTROPIERI, MA ;

CASTO, G .

REMEDIAL AND SPECIAL EDUCATION, 1987, 8 (02) :24-33

[34] Analysis and meta-analysis of single-case designs with a standardized mean difference statistic: A primer and applications [J].

Shadish, William R. ;

Hedges, Larry V. ;

Pustejovsky, James E. .

JOURNAL OF SCHOOL PSYCHOLOGY, 2014, 52 (02) :123-147

[35] Analyzing Data From Single-Case Designs Using Multilevel Models: New Applications and Some Agenda Items for Future Research [J].

Shadish, William R. ;

Kyse, Eden Nagler ;

Rindskopf, David M. .

PSYCHOLOGICAL METHODS, 2013, 18 (03) :385-405

[36] Characteristics of single-case designs used to assess intervention effects in 2008 [J].

Shadish, William R. ;

Sullivan, Kristynn J. .

BEHAVIOR RESEARCH METHODS, 2011, 43 (04) :971-980

[37] SinaPlot: An Enhanced Chart for Simple and Truthful Representation of Single Observations Over Multiple Classes [J].

Sidiropoulos, Nikos ;

Sohi, Sina Hadi ;

Pedersen, Thomas Lin ;

Porse, Bo Torben ;

Winther, Ole ;

Rapin, Nicolas ;

Bagger, Frederik Otzen .

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 2018, 27 (03) :673-676

[38]

Silverman BW., 1986, DENSITY ESTIMATION S, DOI 10.1201/9781315140919

[39] Single-Case Experimental Designs: A Systematic Review of Published Research and Current Standards [J].

Smith, Justin D. .

PSYCHOLOGICAL METHODS, 2012, 17 (04) :510-550

[40] Social validity in single-case research: A systematic literature review of prevalence and application [J].

Snodgrass, Melinda R. ;

Chung, Moon Y. ;

Meadan, Hedda ;

Halle, James W. .

RESEARCH IN DEVELOPMENTAL DISABILITIES, 2018, 74 :160-173

← 1 2 3 4 5 →