Validity and reliability of a futsal performance test based on multiple intelligences

This study aimed to develop a futsal performance test instrument based on the theory of multiple intelligences for futsal athletes, and to assess its feasibility and effectiveness. The research used the ADDIE model, which includes Analysis, Design, Development, Implementation, and Evaluation phases. The sample consisted of students enrolled in the Sports Coaching Education Study Program at the University of Jambi who were registered in the futsal course. Two trial groups were involved: a limited-scale trial with 30 students and a large-scale trial with 90 students, selected through simple random sampling. Sampling criteria were based on enrollment in the futsal course, as per the curriculum of the Sports Coaching Education (PORKES) Study Program. Data collection techniques included questionnaires and performance tests. Analysis methods involved content validity testing (Aiken’s V), construct validity testing (Confirmatory Factor Analysis), and product effectiveness evaluation using descriptive statistics. The development process produced an instrument consisting of 18 components, each with a factor loading above 0.3, indicating strong construct validity. Content validity, assessed by three experts using the Delphi method, yielded a total Aiken’s V value of 1.141. The reliability coefficient was 0.807, indicating high internal consistency. These results demonstrate that the developed futsal test instrument is both valid and reliable for evaluating futsal performance based on multiple intelligences.

Authors

Institutions

Publication Details

Journal
SPORT TK-Revista EuroAmericana de Ciencias del Deporte
Published
2025-07-11
DOI
https://doi.org/10.6018/sportk.643851
Primary Topic
Sports and Physical Education Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Validity and reliability of a futsal performance test based on multiple intelligences

Muhammad Ali, Anggel Hardi Yanto, Ilham Ilham, Palmizal Palmizal
SPORT TK-Revista EuroAmericana de Ciencias del Deporte
Sports and Physical Education Research
article

Validity and reliability of a futsal performance test based on multiple intelligences

Muhammad Ali, Anggel Hardi Yanto, Ilham Ilham, Palmizal Palmizal
article en

Abstract

This study aimed to develop a futsal performance test instrument based on the theory of multiple intelligences for futsal athletes, and to assess its feasibility and effectiveness. The research used the ADDIE model, which includes Analysis, Design, Development, Implementation, and Evaluation phases. The sample consisted of students enrolled in the Sports Coaching Education Study Program at the University of Jambi who were registered in the futsal course. Two trial groups were involved: a limited-scale trial with 30 students and a large-scale trial with 90 students, selected through simple random sampling. Sampling criteria were based on enrollment in the futsal course, as per the curriculum of the Sports Coaching Education (PORKES) Study Program. Data collection techniques included questionnaires and performance tests. Analysis methods involved content validity testing (Aiken’s V), construct validity testing (Confirmatory Factor Analysis), and product effectiveness evaluation using descriptive statistics. The development process produced an instrument consisting of 18 components, each with a factor loading above 0.3, indicating strong construct validity. Content validity, assessed by three experts using the Delphi method, yielded a total Aiken’s V value of 1.141. The reliability coefficient was 0.807, indicating high internal consistency. These results demonstrate that the developed futsal test instrument is both valid and reliable for evaluating futsal performance based on multiple intelligences.

SPORT TK-Revista EuroAmericana de Ciencias del DeporteVol. 14
Universitas Jambi (ID)
Openalex Percentile: Top 61%
Sports and Physical Education Research
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.