Token Economy Intervention for Early Childhood Children with Attention Deficit and Hyperactivity Disorder

This study describes the application of token economy intervention to an early childhood who has attention deficit disorder with hyperactivity. The method used is a qualitative case study, which involves in-depth observation and interviews with the child's parents and teachers. The research subject was a 5-year-old child who had difficulty in focusing attention accompanied by hyperactivity. The intervention was conducted for 23 days, during which the child was given tokens as rewards for positive behavior and certain achievements. The success of the intervention was measured by recording changes in the child's behavior. Interview techniques were also conducted to evaluate parents and teachers perceptions and provide education in helping to deal with children's problems. The results of the study showed a significant improvement in the child's ability to focus attention, this can be seen from the decrease in impulsive behavior and the increase in tasks that can be completed. In addition, parents reported positive changes in their child's daily interactions. The conclusion of this study is that token economy intervention can have a significant impact in improving the attention of early childhood with attention deficit disorder accompanied by hyperactivity, as well as providing insights for intervention practices in educational settings.

Authors

Institutions

Publication Details

Journal
Educational Psychology Journal
Published
2024-12-27
DOI
https://doi.org/10.15294/epj.v13i2.15612
Citations
1
Primary Topic
Attention Deficit Hyperactivity Disorder
Type
article
Field-Weighted Citation Impact
0.39
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Token Economy Intervention for Early Childhood Children with Attention Deficit and Hyperactivity Disorder

Novita Sari
1 citations
Educational Psychology Journal
Attention Deficit Hyperactivity Disorder
0.39
article

Token Economy Intervention for Early Childhood Children with Attention Deficit and Hyperactivity Disorder

Novita Sari
article en
1 citations

Abstract

This study describes the application of token economy intervention to an early childhood who has attention deficit disorder with hyperactivity. The method used is a qualitative case study, which involves in-depth observation and interviews with the child's parents and teachers. The research subject was a 5-year-old child who had difficulty in focusing attention accompanied by hyperactivity. The intervention was conducted for 23 days, during which the child was given tokens as rewards for positive behavior and certain achievements. The success of the intervention was measured by recording changes in the child's behavior. Interview techniques were also conducted to evaluate parents and teachers perceptions and provide education in helping to deal with children's problems. The results of the study showed a significant improvement in the child's ability to focus attention, this can be seen from the decrease in impulsive behavior and the increase in tasks that can be completed. In addition, parents reported positive changes in their child's daily interactions. The conclusion of this study is that token economy intervention can have a significant impact in improving the attention of early childhood with attention deficit disorder accompanied by hyperactivity, as well as providing insights for intervention practices in educational settings.

Educational Psychology JournalVol. 13(2)
Universitas Nusa Bangsa (ID)
Openalex Percentile: Top 31%
Attention Deficit Hyperactivity Disorder
0.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.