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Research Library

All reports in ¾«¶«Ó°Òµâ€™s Research Library are available upon request. Executive summaries are available below for the latest LSAT Technical Reports and other research published within the last 10 years.

Looking for older reports? Consult the Research Archive

Current Research:

First-Year Law School Class: A Focus on Students with Disabilities, 2024 Update

This report provides insight into how students with disabilities in the 2024-2025 1L class navigated the law school application process.

First-Year Law School Class: A Focus on Students with Disabilities, 2023 Update

Based on survey responses from 2023 law school matriculants, this report provides nuanced information about factors that affect law school decision-making processes for students with disabilities.

¾«¶«Ó°Òµâ€™s Knowledge Report: The 2023 1L Profile

This report focuses on the 2023 1L class, examining who is enrolling in law school, where they enrolled, and how they made their enrollment decision.

LGBTQ+ Inclusion: From Candidate to Law Student, 2024 Update

An in-depth look at how law schools are supporting LGBTQ+ individuals through their legal education journey.

2022 First-Year Law School Class: A Focus on Students with Disabilities

Based on survey responses from 2022 law school matriculants, this report provides nuanced information about factors that affect law school decision-making processes for students with disabilities.

LGBTQ+ Inclusion: From Candidate to Law Student

The ¾«¶«Ó°Òµ Research team has issued a first-of-its-kind report offering a highly nuanced perspective on how law schools support LGBTQ+ students.
By Elizabeth Bodamer and Debra Langer

Justice-Impacted Individuals in the Pipeline: A National Exploration of Law School Policies and Practices

Data shows that justice-impacted individuals face a particularly difficult path to legal education. Is it time to talk about reform?

How Serious Is IRT Misfit for Practical Decision-Making? (RR 15-04)

Item response theory (IRT) is a mathematical model used to support the development, analysis, and scoring of tests and questionnaires. For example, IRT allows for the description of item (i.e., question) characteristics, such as difficulty, as well as the proficiency level of test takers. Various IRT models are available, and choosing the most appropriate model for a particular test is essential. Since the fit of the test data to the chosen model is never perfect, measuring the fit of the model to the data is imperative.

The Effect of Item and Person Misfit on Selection Decisions: An Empirical Study (RR 15-05)

Item response theory (IRT) is a mathematical model that is often applied in the development and analysis of educational and psychological assessments. Various IRT models exist, and practitioners must choose the model that is most appropriate for their particular assessment. Even when the most appropriate model is applied, the fit of the assessment data to the model is rarely perfect in practice. How serious, then, is model misfit for practical decision-making?