TY  - GEN
A1  - Wilbert, Jürgen
A1  - Börnert-Ringleb, Moritz
A1  - Lüke, Timo
T1  - Statistical Power of Piecewise Regression Analyses of Single-Case Experimental Studies Addressing Behavior Problems
T2  - Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe
N2  - In intervention research, single-case experimental designs are an important way to gain insights into the causes of individual changes that yield high internal validity. They are commonly applied to examine the effectiveness of classroom-based interventions to reduce problem behavior in schools. At the same time, there is no consensus on good design characteristics of single-case experimental designs when dealing with behavioral problems in schools. Moreover, specific challenges arise concerning appropriate approaches to analyzing behavioral data. Our study addresses the interplay between the test power of piecewise regression analysis and important design specifications of single-case research designs. Here, we focus on the influence of the following specifications of single-case research designs: number of measurement times, the initial frequency of the behavior, intervention effect, and data trend. We conducted a Monte-Carlo study. First, simulated datasets were created with specific design conditions based on reviews of published single-case intervention studies. Following, data were analyzed using piecewise Poisson-regression models, and the influence of specific design specifications on the test power was investigated. Our results indicate that piecewise regressions have a high potential of adequately identifying the effects of interventions for single-case studies. At the same time, test power is strongly related to the specific design specifications of the single-case study: Few measurement times, especially in phase A, and low initial frequencies of the behavior make it impossible to detect even large intervention effects. Research designs with a high number of measurement times show robust power. The insights gained are highly relevant for researchers in the field, as decisions during the early stage of conceptualizing and planning single-case experimental design studies may impact the chance to identify an existing intervention effect during the research process correctly.
T3  - Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe - 814 
KW  - single-case design
KW  - single case analysis
KW  - Monte-Carlo simulation
KW  - behavior problems
KW  - special education
KW  - research design
KW  - single-case experimental design
Y1  - 2023
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-581150
SN  - 1866-8364
IS  - 814
ER  - 
TY  - JOUR
A1  - Wilbert, Jürgen
A1  - Börnert-Ringleb, Moritz
A1  - Lüke, Timo
T1  - Statistical Power of Piecewise Regression Analyses of Single-Case Experimental Studies Addressing Behavior Problems
JF  - Frontiers in Education
N2  - In intervention research, single-case experimental designs are an important way to gain insights into the causes of individual changes that yield high internal validity. They are commonly applied to examine the effectiveness of classroom-based interventions to reduce problem behavior in schools. At the same time, there is no consensus on good design characteristics of single-case experimental designs when dealing with behavioral problems in schools. Moreover, specific challenges arise concerning appropriate approaches to analyzing behavioral data. Our study addresses the interplay between the test power of piecewise regression analysis and important design specifications of single-case research designs. Here, we focus on the influence of the following specifications of single-case research designs: number of measurement times, the initial frequency of the behavior, intervention effect, and data trend. We conducted a Monte-Carlo study. First, simulated datasets were created with specific design conditions based on reviews of published single-case intervention studies. Following, data were analyzed using piecewise Poisson-regression models, and the influence of specific design specifications on the test power was investigated. Our results indicate that piecewise regressions have a high potential of adequately identifying the effects of interventions for single-case studies. At the same time, test power is strongly related to the specific design specifications of the single-case study: Few measurement times, especially in phase A, and low initial frequencies of the behavior make it impossible to detect even large intervention effects. Research designs with a high number of measurement times show robust power. The insights gained are highly relevant for researchers in the field, as decisions during the early stage of conceptualizing and planning single-case experimental design studies may impact the chance to identify an existing intervention effect during the research process correctly.
KW  - single-case design
KW  - single case analysis
KW  - Monte-Carlo simulation
KW  - behavior problems
KW  - special education
KW  - research design
KW  - single-case experimental design
Y1  - 2022
U6  - https://doi.org/10.3389/feduc.2022.917944
SN  - 2504-284X
VL  - 7
SP  - 1
EP  - 13
PB  - Frontiers Media
CY  - Lausanne, Schweiz
ER  - 
TY  - JOUR
A1  - Saloviita, Timo
A1  - Schaffus, Tina
T1  - Teacher attitudes towards inclusive education in Finland and Brandenburg, Germany and the issue of extra work
JF  - European journal of special needs education
KW  - Teacher attitudes
KW  - inclusive education
KW  - Finland
KW  - Brandenburg
KW  - disabilities
KW  - special education
Y1  - 2016
U6  - https://doi.org/10.1080/08856257.2016.1194569
SN  - 0885-6257
SN  - 1469-591X
VL  - 31
SP  - 458
EP  - 471
PB  - Klett-Cotta Verlag
CY  - Abingdon
ER  -