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Psychological Data Analysis Lab
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A lab that researches the statistics used to create psychological tests and measure the mind.
AboutAbout the lab
Creating ways to measure the mind.
The lab studies the theory and application of the statistical methods used in developing psychological tests.
The statistical methods it is interested in are item response models using latent variables, factor analysis models, and structural equation modeling.
In applied research, it focuses on developing test systems that use item response models, especially computerized adaptive testing.
Key terms
- Item response theory
- A theory that uses statistical models to express the relationship between the properties of each test question and the ability of the person taking the test
- Adaptive testing
- A test that selects the next question to present according to the test taker's answers
- Latent variable
- A quantity, such as ability or personality, that cannot be observed directly and is inferred from data
ResearchResearch themes
The lab's main research themes are developing statistical methods for questionnaire-based psychological tests and developing psychological tests related to academic ability and personality. The researcher information also lists the development of a screening test for autism spectrum disorder as a research theme.
Psychological tests based on item response theory
Using item response theory, the lab develops psychological tests of language ability, infant communication ability, facial expression recognition ability, and more.
Computerized adaptive testing
The lab works on developing adaptive tests that use computers.
Estimation methods for latent variable models
This is research on methods for estimating parameters in latent variable models.
MembersFaculty
- ProfessorTomoyasu Nakamura
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