David Andrich

10.2k total citations · 2 hit papers
100 papers, 7.3k citations indexed

About

David Andrich is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Statistics and Probability. According to data from OpenAlex, David Andrich has authored 100 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Management Science and Operations Research, 21 papers in Computer Networks and Communications and 17 papers in Statistics and Probability. Recurrent topics in David Andrich's work include Psychometric Methodologies and Testing (42 papers), Advanced Statistical Modeling Techniques (21 papers) and Sensory Analysis and Statistical Methods (13 papers). David Andrich is often cited by papers focused on Psychometric Methodologies and Testing (42 papers), Advanced Statistical Modeling Techniques (21 papers) and Sensory Analysis and Statistical Methods (13 papers). David Andrich collaborates with scholars based in Australia, United States and United Kingdom. David Andrich's co-authors include Ida Marais, Curt Hagquist, Guanzhong Luo, Irene Styles, Therese N. Hopfenbeck, Gordon Stobart, Stephen Humphry, Svend Kreiner, C. Quitmann and C. Jarchow and has published in prestigious journals such as Journal of the American Statistical Association, Physical review. B, Condensed matter and Biometrics.

In The Last Decade

David Andrich

96 papers receiving 6.6k citations

Hit Papers

A Rating Formulation for ... 1978 2026 1994 2010 1978 1988 500 1000 1.5k 2.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David Andrich 1.8k 1.3k 937 901 828 100 7.3k
Susan E. Embretson 1.7k 1.0× 1.2k 0.9× 1.1k 1.1× 736 0.8× 1.4k 1.6× 64 7.3k
Rebecca Zwick 1.4k 0.8× 1.3k 1.0× 1.7k 1.9× 1.4k 1.5× 1.2k 1.5× 115 6.8k
Gideon J. Mellenbergh 1.4k 0.8× 646 0.5× 1.1k 1.1× 847 0.9× 1.4k 1.6× 114 6.8k
Ke‐Hai Yuan 1.8k 1.0× 727 0.5× 1.4k 1.4× 1.3k 1.5× 944 1.1× 171 8.1k
Roger E. Millsap 1.5k 0.9× 1.3k 1.0× 2.6k 2.7× 1.7k 1.9× 1.4k 1.7× 117 8.1k
Alberto Maydeu‐Olivares 1.7k 1.0× 821 0.6× 2.3k 2.5× 1.9k 2.1× 1.4k 1.7× 128 8.6k
Gregory R. Hancock 773 0.4× 1.1k 0.8× 1.5k 1.6× 1.6k 1.8× 1.0k 1.2× 162 7.7k
Alexander Robitzsch 834 0.5× 1.7k 1.3× 759 0.8× 1.4k 1.5× 1.3k 1.6× 171 5.5k
Lloyd G. Humphreys 1.1k 0.6× 1.2k 0.9× 1.1k 1.2× 1.3k 1.4× 2.0k 2.4× 151 7.3k
Stanley A. Mulaik 936 0.5× 560 0.4× 950 1.0× 1.3k 1.5× 841 1.0× 61 6.9k

Countries citing papers authored by David Andrich

Since Specialization
Citations

This map shows the geographic impact of David Andrich'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 David Andrich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Andrich more than expected).

Fields of papers citing papers by David Andrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Andrich. 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 David Andrich. The network helps show where David Andrich may publish in the future.

Co-authorship network of co-authors of David Andrich

This figure shows the co-authorship network connecting the top 25 collaborators of David Andrich. A scholar is included among the top collaborators of David Andrich based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Andrich. David Andrich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Horton, Mike, Jill Carlton, & David Andrich. (2024). Re: the Upper Extremity Functional Scale for Prosthesis Users (UEFS-P): subscales for one and two-handed tasks. Disability and Rehabilitation. 47(26). 7073–7074.
2.
Andrich, David, et al.. (2023). Rasch Meta-Metres of Growth for Some Intelligence and Attainment Tests. UWA Profiles and Research Repository (University of Western Australia).
3.
Andrich, David, et al.. (2019). Modelling ordinal assessments: fit is not sufficient. Communication in Statistics- Theory and Methods. 48(12). 2932–2947.
4.
Andrich, David. (2018). On an identity between the Gaussian and Rasch measurement error distributions: making the role of the instrument explicit. Journal of Physics Conference Series. 1065. 72001–72001. 3 indexed citations
5.
Andrich, David, et al.. (2017). Metrology of education. Assessment in Education Principles Policy and Practice. 24(3). 463–470. 3 indexed citations
6.
Andrich, David, Irene Styles, Annette Mercer, & Ian B. Puddey. (2017). On the validity of repeated assessments in the UMAT, a high-stakes admissions test. Advances in Health Sciences Education. 22(5). 1245–1262. 2 indexed citations
7.
Hagquist, Curt & David Andrich. (2017). Recent advances in analysis of differential item functioning in health research using the Rasch model. Health and Quality of Life Outcomes. 15(1). 181–181. 119 indexed citations
8.
Andrich, David, et al.. (2017). Assessment and learning: fields apart?. Assessment in Education Principles Policy and Practice. 24(3). 317–350. 168 indexed citations
9.
Andrich, David. (2015). Components of variance of scales with a subscale structure using two calculations of coefficient alpha. Pensamiento Educativo Revista de Investigación Educacional Latinoamericana. 52(52). 6–33. 4 indexed citations
10.
Andrich, David. (2014). A structure of index and causal variables. UWA Profiles and Research Repository (University of Western Australia). 7 indexed citations
11.
Puddey, Ian B., Annette Mercer, David Andrich, & Irene Styles. (2014). Practice effects in medical school entrance testing with the undergraduate medicine and health sciences admission test (UMAT). BMC Medical Education. 14(1). 48–48. 11 indexed citations
12.
Andrich, David, Stephen Humphry, & Ida Marais. (2012). Quantifying Local, Response Dependence Between Two Polytomous Items Using the Rasch Model. Applied Psychological Measurement. 36(4). 309–324. 36 indexed citations
13.
Andrich, David & Curt Hagquist. (2011). Real and Artificial Differential Item Functioning. Journal of Educational and Behavioral Statistics. 37(3). 387–416. 89 indexed citations
14.
Bhakta, Bipin, Alan Tennant, Mike Horton, Gemma Lawton, & David Andrich. (2005). Using item response theory to explore the psychometric properties of extended matching questions examination in undergraduate medical education. BMC Medical Education. 5(1). 9–9. 60 indexed citations
15.
Luo, Guanzhong & David Andrich. (2005). Estimating parameters in the Rasch model in the presence of null categories.. PubMed. 6(2). 128–46. 6 indexed citations
16.
Andrich, David. (2003). Controversy and the Rasch Model. Medical Care. 42(1). 7–7. 294 indexed citations
17.
Andrich, David. (2002). Understanding Rasch measurement: Understanding resistance to the data-model relationship in Rasch's paradigm: A reflection for the next generation.. 3(3). 9 indexed citations
18.
Andrich, David. (1995). Computerized Adaptive Testing: A Primer Book Review.. Psychometrika. 60(4). 5 indexed citations
19.
Andrich, David, et al.. (1989). The General Health Questionnaire: a psychometric analysis using latent trait theory. Psychological Medicine. 19(2). 469–485. 96 indexed citations
20.
Andrich, David. (1978). A Rating Formulation for Ordered Response Categories. Psychometrika. 43(4). 561–573. 2193 indexed citations breakdown →

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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