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Development of A Four-Tier E-Diagnostic Test on The Topic of Momentum to Measure and Reduce Student Misconception

Jurnal Pendidikan Fisika Indonesia · Vol. 20 No. 2 (2024) · pp. 173–187

DOI
10.15294/jpfi.v20i2.1297
ISSN
2355-3812, 1693-1246
Published
2024-12-04
Publisher
Universitas Negeri Semarang
Language
eng

Abstract

This research aims to develop a set of e-diagnostic four-tier tests on Momentum topics that can be utilized to identify students' learning difficulties and misconceptions. The tests are to be valid, reliable, and effective. This research and development (R&D) project employed the 4-D model, which encompasses the following four stages: Define, Design, Develop, and Disseminate. The Define stage entailed a comprehensive needs analysis and identification of critical issues, while the Design stage encompassed the formulation of e-diagnostic four-tier test grids and instruments. The development stage comprised the implementation of development activities, expert validation, product testing, and the final assembly of the product. The dissemination stage involved the publication of the results of the development of the e-diagnostic four-tier test. The test was constructed in the form of a five-option multiple-choice test. Each question comprises four tiers or levels, ranging from questions, confidence levels, and reasons to the subsequent confidence level. The data collection instrument includes an assessment sheet for product validity, scoring guidelines, and a Likert scale for determining the practicality of product use. The data analysis technique employs the following formulas: (1) Aiken's V for testing validity, (2) Cronbach Alpha for determining reliability, (3) probability of answering correctly to ascertain the level of difficulty of the items, (4) differentiating power to determine the differentiating power, and (5) percentage to measure the level of misconception. The outcome of this research is a series of four-level diagnostic multiple-choice tests accompanied by explanatory material designed to address potential misconceptions. The tests have been evaluated rigorously for validity, item analysis, practicality, and effectiveness.

Keywords

Collaboration network of the authors

40 authors · 210 co-authorship links · 12 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • State University of Semarang
  • Universitas Nahdlatul Ulama Blitar
  • Universitas Airlangga
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Putut MarwotoState University of Semarang9
Bambang SubaliAffiliation unknown8
Arif WidiyatmokoState University of Semarang7
Sigit SaptonoState University of Semarang6
Wiyanto WiyantoState University of Semarang6
Hartono HartonoAffiliation unknown6
Ellianawati EllianawatiState University of Semarang6
Sarwi SarwiAffiliation unknown6
Sulhadi SulhadiAffiliation unknown6
Suharto LinuwihAffiliation unknown5
Budi AstutiAffiliation unknown4
Supriyadi SupriyadiAffiliation unknown4
Sugianto SugiantoUniversitas Nahdlatul Ulama Blitar4
Wiwi IsnaeniState University of Semarang3
Siti WahyuniAffiliation unknown3
. SupriyadiAffiliation unknown3
Saiful RidloState University of Semarang3
Kartono KartonoUniversitas Airlangga3
Wardono WardonoAffiliation unknown3
Langlang HandayaniAffiliation unknown3
Enni Suwarsi RahayuState University of Semarang2
KhumaediState University of Semarang2
Slamet HaryonoAffiliation unknown2
Haydnn Caesha MaulanaAffiliation unknown2
Roudloh Muna LiaAffiliation unknown2
Muhammad KhumaediAffiliation unknown2
Suraji SurajiAffiliation unknown2
Endang SusilaningsihState University of Semarang2
R. SusantiAffiliation unknown2
Sugiyanto SugiyantoAffiliation unknown2
Wahyu JalaluddinAffiliation unknown2
Dwi Anggani Linggar BharatiAffiliation unknown2
Sunyoto Eko NugrohoState University of Semarang2
Sunarno SunarnoAffiliation unknown2
Isa AkhlisState University of Semarang2
Wahyu HardyantoAffiliation unknown2

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/JPFI/oai, first harvested 5 Nov 2026, last seen 5 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Development of A Four-Tier E-Diagnostic Test on The Topic of Momentum to Measure and Reduce Student Misconception</dc:title>
	<dc:creator xml:lang="en">Rusilowati, Ani</dc:creator>
	<dc:creator xml:lang="en">Darsono, Teguh </dc:creator>
	<dc:creator xml:lang="en">Sekarningtias, Felia Oktaviana </dc:creator>
	<dc:creator xml:lang="en">Fariyani, Qisti </dc:creator>
	<dc:subject xml:lang="en">Momentum, four-tier multiple choice e-diagnostic</dc:subject>
	<dc:description xml:lang="en">This research aims to develop a set of e-diagnostic four-tier tests on Momentum topics that can be utilized to identify students' learning difficulties and misconceptions. The tests are to be valid, reliable, and effective. This research and development (R&amp;amp;D) project employed the 4-D model, which encompasses the following four stages: Define, Design, Develop, and Disseminate. The Define stage entailed a comprehensive needs analysis and identification of critical issues, while the Design stage encompassed the formulation of e-diagnostic four-tier test grids and instruments. The development stage comprised the implementation of development activities, expert validation, product testing, and the final assembly of the product. The dissemination stage involved the publication of the results of the development of the e-diagnostic four-tier test. The test was constructed in the form of a five-option multiple-choice test. Each question comprises four tiers or levels, ranging from questions, confidence levels, and reasons to the subsequent confidence level. The data collection instrument includes an assessment sheet for product validity, scoring guidelines, and a Likert scale for determining the practicality of product use. The data analysis technique employs the following formulas: (1) Aiken's V for testing validity, (2) Cronbach Alpha for determining reliability, (3) probability of answering correctly to ascertain the level of difficulty of the items, (4) differentiating power to determine the differentiating power, and (5) percentage to measure the level of misconception. The outcome of this research is a series of four-level diagnostic multiple-choice tests accompanied by explanatory material designed to address potential misconceptions. The tests have been evaluated rigorously for validity, item analysis, practicality, and effectiveness.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2024-12-04</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/journals/JPFI/article/view/1297</dc:identifier>
	<dc:identifier>10.15294/jpfi.v20i2.1297</dc:identifier>
	<dc:source xml:lang="en">Jurnal Pendidikan Fisika Indonesia; Vol. 20 No. 2 (2024); 173-187</dc:source>
	<dc:source>2355-3812</dc:source>
	<dc:source>1693-1246</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/JPFI/article/view/1297/2181</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2024 Jurnal Pendidikan Fisika Indonesia</dc:rights>
</oai_dc:dc>