Tom Haladyna

806 citations
17 papers · 639 · h-index 11

Impact in

Papers in

Tom Haladyna

16 papers receiving 470 citations

Peers

Tom Haladyna
Comparison fields: 5 of 56
  • Education 514
  • Experimental and Cognitive Psychology 153
  • Developmental and Educational Psychology 136
  • General Agricultural and Biological Sciences 82
  • Social Psychology 118
Replace Joan Shaughnessy with:
Joan Shaughnessy United States
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Pey‐Yan Liou Taiwan
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Tom Haladyna relative to Joan Shaughnessy United States Joan Shaughnessy's profile →
Citations per field
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Joan Shaughnessy · 1×
Citations per year

Countries citing papers authored by Tom Haladyna

Since Specialization
Citations

This map shows the geographic impact of Tom Haladyna's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tom Haladyna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Haladyna more than expected).

Fields of papers citing papers by Tom Haladyna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom Haladyna. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tom Haladyna. The network helps show where Tom Haladyna may publish in the future.

Co-authors

The 9 scholars most cited alongside Tom Haladyna, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tom Haladyna Line = papers co-authored together Tom Haladyna links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 1982117
2 1979107
3 1982102
4 198398
5 198362
6 198337
7 198134
8 198229
9 198216
10 198014
11 197910
12
Validating a Theory-Based Survey to Evaluate Teaching Effectiveness in Higher Education.
20123
13
Determinants of Class Attitudes Toward Math.
19813
14
Construct Validation of an Inventory of Affective Aspects of Schooling.
19803
15 20222
16 20091
17
A Review of Item Writing Methods for Criterion-Referenced Tests in the Cognitive Domain.
19781

About Tom Haladyna

Tom Haladyna is a scholar working on Education, Developmental and Educational Psychology, General Agricultural and Biological Sciences, Computer Networks and Communications and Sociology and Political Science, having authored 17 papers that have together received 639 indexed citations. Recurring topics across this work include Diverse Educational Innovations Studies (4 papers), Teacher Education and Leadership Studies (4 papers), Educational Research and Pedagogy (3 papers), Science Education and Pedagogy (3 papers), Educational Assessment and Pedagogy (2 papers), Psychometric Methodologies and Testing (2 papers), Education, Achievement, and Giftedness (2 papers) and Educator Training and Historical Pedagogy (2 papers). The work is most often cited by research in Education (514 citations), Experimental and Cognitive Psychology (153 citations), Developmental and Educational Psychology (136 citations), General Agricultural and Biological Sciences (82 citations) and Social Psychology (118 citations). Tom Haladyna has collaborated with scholars based in United States. Frequent co-authors include Joan Shaughnessy, Greg Thomas, J. Michael Shaughnessy, Gale H. Roid, Gregory P. Thomas, Audrey Amrein‐Beardsley, Kate Mahoney, Jeff MacSwan and Kellie Rolstad. Their work appears in journals such as Journal of Educational Measurement, Science Education, Journal for Research in Mathematics Education, Journal of Research in Science Teaching and Theory & Research in Social Education.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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