Smart strategy in statistics: choosing appropriate test tools for data and hypotheses in quantitative research

The selection of appropriate statistical test tools is a major challenge in quantitative research, and errors in their selection can affect the validity and reliability of research results. This study aims to develop a systematic strategy for selecting appropriate statistical test tools based on the...

Full description

Saved in:
Bibliographic Details
Main Authors: Nana Darna, Iwan Setiawan, M. Aziz Basari, Kasman Kasman
Format: Article
Language:English
Published: Indonesian Institute for Counseling, Education and Therapy (IICET) 2024-07-01
Series:JPPI (Jurnal Penelitian Pendidikan Indonesia)
Subjects:
Online Access:https://jurnal.iicet.org/index.php/jppi/article/view/3691
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832584581471010816
author Nana Darna
Iwan Setiawan
M. Aziz Basari
Kasman Kasman
author_facet Nana Darna
Iwan Setiawan
M. Aziz Basari
Kasman Kasman
author_sort Nana Darna
collection DOAJ
description The selection of appropriate statistical test tools is a major challenge in quantitative research, and errors in their selection can affect the validity and reliability of research results. This study aims to develop a systematic strategy for selecting appropriate statistical test tools based on the type of data and hypotheses used, and provide practical guidance for researchers of various skill levels. The research method used is descriptive research with a qualitative approach, where data is collected through literature studies and case studies on various quantitative studies. The selected test tools were analyzed using content analysis techniques to identify the match with the data characteristics. The results showed that the selection of appropriate test tools improved the accuracy and efficiency of statistical analyses, and the strategy applied helped make it easier for researchers to determine the appropriate statistical test tools through clear groupings based on data types and hypotheses. The implication of this research is the importance of in-depth understanding of the basic assumptions of test tools as well as the application of this strategy to improve the quality and credibility of quantitative research in various disciplines.
format Article
id doaj-art-3a3b63b28e914582b106c454be8d4348
institution Kabale University
issn 2477-8524
2502-8103
language English
publishDate 2024-07-01
publisher Indonesian Institute for Counseling, Education and Therapy (IICET)
record_format Article
series JPPI (Jurnal Penelitian Pendidikan Indonesia)
spelling doaj-art-3a3b63b28e914582b106c454be8d43482025-01-27T12:35:03ZengIndonesian Institute for Counseling, Education and Therapy (IICET)JPPI (Jurnal Penelitian Pendidikan Indonesia)2477-85242502-81032024-07-0110284385110.29210/0202436912532Smart strategy in statistics: choosing appropriate test tools for data and hypotheses in quantitative researchNana Darna0Iwan Setiawan1M. Aziz Basari2Kasman Kasman3Universitas GaluhUniversitas GaluhUniversitas GaluhUniversitas GaluhThe selection of appropriate statistical test tools is a major challenge in quantitative research, and errors in their selection can affect the validity and reliability of research results. This study aims to develop a systematic strategy for selecting appropriate statistical test tools based on the type of data and hypotheses used, and provide practical guidance for researchers of various skill levels. The research method used is descriptive research with a qualitative approach, where data is collected through literature studies and case studies on various quantitative studies. The selected test tools were analyzed using content analysis techniques to identify the match with the data characteristics. The results showed that the selection of appropriate test tools improved the accuracy and efficiency of statistical analyses, and the strategy applied helped make it easier for researchers to determine the appropriate statistical test tools through clear groupings based on data types and hypotheses. The implication of this research is the importance of in-depth understanding of the basic assumptions of test tools as well as the application of this strategy to improve the quality and credibility of quantitative research in various disciplines.https://jurnal.iicet.org/index.php/jppi/article/view/3691statistical testing tools, data types, hypothesis types, quantitative
spellingShingle Nana Darna
Iwan Setiawan
M. Aziz Basari
Kasman Kasman
Smart strategy in statistics: choosing appropriate test tools for data and hypotheses in quantitative research
JPPI (Jurnal Penelitian Pendidikan Indonesia)
statistical testing tools, data types, hypothesis types, quantitative
title Smart strategy in statistics: choosing appropriate test tools for data and hypotheses in quantitative research
title_full Smart strategy in statistics: choosing appropriate test tools for data and hypotheses in quantitative research
title_fullStr Smart strategy in statistics: choosing appropriate test tools for data and hypotheses in quantitative research
title_full_unstemmed Smart strategy in statistics: choosing appropriate test tools for data and hypotheses in quantitative research
title_short Smart strategy in statistics: choosing appropriate test tools for data and hypotheses in quantitative research
title_sort smart strategy in statistics choosing appropriate test tools for data and hypotheses in quantitative research
topic statistical testing tools, data types, hypothesis types, quantitative
url https://jurnal.iicet.org/index.php/jppi/article/view/3691
work_keys_str_mv AT nanadarna smartstrategyinstatisticschoosingappropriatetesttoolsfordataandhypothesesinquantitativeresearch
AT iwansetiawan smartstrategyinstatisticschoosingappropriatetesttoolsfordataandhypothesesinquantitativeresearch
AT mazizbasari smartstrategyinstatisticschoosingappropriatetesttoolsfordataandhypothesesinquantitativeresearch
AT kasmankasman smartstrategyinstatisticschoosingappropriatetesttoolsfordataandhypothesesinquantitativeresearch