Psychometric Methodologies and Testing
Psychometric Methodologies and Testing is a research topic within Management Science and Operations Research. Science Explorer counts 12k research works in it since 1950. 10.2% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the topic of measurement invariance in structural equation modeling, exploring concepts such as factor analysis, latent class analysis, reliability estimation, model fit indices, Likert scales, Cronbach's alpha, item response theory, and cross-cultural research. The papers discuss various methods and best practices for evaluating and ensuring measurement invariance across different groups and conditions.
- Structural Equation Modeling
- Measurement Invariance
- Factor Analysis
- Latent Class Analysis
- Reliability Estimation
- Model Fit Indices
- Likert Scales
- Cronbach's Alpha
- Item Response Theory
- Cross-Cultural Research
- Research works
- 12k fractional, since 1950
- In the world top 10%
- 1.3k per year above
- Top-10% rate
- 10.2% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +23% the tick is no change
- Largest producer
United States
46% of the 10 largest, 2022-now
Which countries lead Psychometric Methodologies and Testing research?
By volume, the United States and Germany publish the most (842 and 222 works in 2022-now).
By volume, 2022-now
- 1
United States 842 works
- 2
Germany 222 works
- 3
China 214 works
- 4
United Kingdom 116 works
- 5
Türkiye 92 works
- 6
Canada 85 works
- 7
Netherlands 82 works
- 8
Indonesia 69 works
- 9
Japan 69 works
- 10
Italy 57 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Psychometric Methodologies and Testing research?
By volume in 2022-now, Christian-Albrechts-Universität zu Kiel publishes the most Psychometric Methodologies and Testing research, followed by University of North Carolina at Chapel Hill and Educational Testing Service.
By volume, 2022-now
- 1
Christian-Albrechts-Universität zu Kiel
Germany 23 works
- 2
University of North Carolina at Chapel Hill
United States 22 works
- 3
Educational Testing Service
United States 20 works
- 4
Sapienza University of Rome
Italy 17 works
- 5
University of Amsterdam
Netherlands 15 works
- 6
Calderdale and Huddersfield NHS Foundation Trust
United Kingdom 14 works
- 7
University of Illinois Urbana-Champaign
United States 14 works
- 8
University of Iowa
United States 14 works
- 9
Ludwig-Maximilians-Universität München
Germany 14 works
- 10
University of Alabama
United States 13 works
Who are the leading researchers in Psychometric Methodologies and Testing?
The most-cited researchers publishing on Psychometric Methodologies and Testing include David Moher, Douglas G. Altman and Robert John Tibshirani.
- 1
David Moher
Canada 898k citations
- 2
Douglas G. Altman
United Kingdom 862k citations
- 3
Robert John Tibshirani
United States 396k citations
- 4
Hermann Brenner
Germany 343k citations
- 5
Matthias Egger
Switzerland 326k citations
- 6
John P. A. Ioannidis
United States 317k citations
- 7
Gordon Henry Guyatt
Canada 315k citations
- 8
Donald B. Rubin
United States 301k citations
- 9
Trevor Hastie
United States 301k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Psychometric Methodologies and Testing research done?
The largest centres of Psychometric Methodologies and Testing research in 2022-now are New York (United States), Beijing (China), Ankara (Türkiye) and London (United Kingdom). Among places with at least 20 works in it, it is an unusually large share of all research in Kiel and Princeton.
Largest cities, 2022-now
- 1
New York
United States 37 works
- 2
Beijing
China 35 works
- 3
Ankara
Türkiye 30 works
- 4
London
United Kingdom 29 works
- 5
Amsterdam
Netherlands 26 works
- 6
Princeton
United States 24 works
- 7
Seoul
South Korea 24 works
- 8
Kiel
Germany 23 works
- 9
Tokyo
Japan 23 works
- 10
Chapel Hill
United States 22 works
Where it is the local speciality
- KielDE · 23.0 works22×
- PrincetonUS · 24.0 works15×
Location quotient: how much more of its research is in Psychometric Methodologies and Testing than the world average.
Where is the best place to study Psychometric Methodologies and Testing?
Among universities, judged by research, Christian-Albrechts-Universität zu Kiel, University of Oslo and University of Amsterdam score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.
Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.
Every institution in Psychometric Methodologies and Testing, country by countryIs Psychometric Methodologies and Testing research growing?
Output in 2022-2025 was 23% higher than in 2018-2021, peaking in 2026. The fastest-growing topics are Psychometric Methodologies and Testing.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Psychometric Methodologies and Testing as a percentage of every work published that year, 0.0074% in 2024.
Fractional works of Psychometric Methodologies and Testing over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year.
Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.
Discussion
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