IMAT 2025 Annual Report

The IMAT 2025 Annual Report is based on item-level coding of all 60 questions released for the 2025 IMAT. Each question is classified by section, subject, subtopic, question format, primary and secondary skills, Depth of Knowledge, language and reading load, calculation load, reasoning load, distractor strength, estimated solution time and overall difficulty.

The average difficulty score of the test according to IMAT Academy Research Lab index 9.65/25 calculated. Data set 27 low, 24 Medium and 9 high there is a question in difficulty; there is no question that is classified in very-high band.

Knowledge depth distribution is mainly concentrated in lower and medium bands: 24 questions DOK 1, 23 questions DOK 2 and 13 questions were coded as DOK 3. Remembering information on the primary skill side is the first place with 25 questions; it follows conceptual understanding and problem solving.

Dataset consists of the entire 60 IMAT questions released for 2025 tests. The student answer is not included in the dataset of this study, which is observed at times, item room rates and option-selection distributions.

Each question is individually coded. Coding areas include partition, subject, lower topic, short summary, primary and secondary question format, primary and secondary measured skill, knowledge depth level, language and reading load, calculation load, reasoning load, distractor strength, estimated solution time, difficulty ground, curriculum compliance, analyst note, discussion flag, trust level and second control status.

Research Lab consists of a total of five components. Each component is rated in 1-5 range; the total score is 5-25. 5-9 low, 10-14 middle, 15-19 high and 20-25 are highly interpreted.

2025 test is distributed between six sections or skill area. Biology is the largest part in terms of the number of questions; but only the number of questions does not disclose the analytical load value. Although reading skills and contain less questions, the average challenge appears higher.

Directly associated with 51 questions fen or mathematical content in terms of curriculum compliance, 5 questions logic and problem solving, 4 questions were coded within the scope of read skills and acquired information.

Average difficulty is worth 9.65/25. Dispersion is 45.0% low, 40.0% medium and 15.0% high shape; there is no question in very-high band. This table does not mean that the test is simply easy.

In the component averages, the conversion load gives the lowest contribution with 1.28/5 while making the highest contribution with 2.72/5. The difficulty in the 2025 test consists of not often long mechanical calculation, close options, condition tracking and model selection.

The depth of information indicates how the candidate should use the information; the same thing is with the overall difficulty. The DOK 1 question may be easy or difficult depending on other components; DOK 3 questions may gain additional selectiveness with language, reasoning or distractor load.

78.3% of the test is DOK 1 and DOK 2 band. 13 DOK 3 questions form a selective layer that requires new binding implementation of information, tracking conditions, or combining multiple logic steps.

As a result of Primary-skill coding, Information Recall is ranked first with 25 items. Conceptual Understanding and Problem Solving creates a strong high-processing layer of 24 items when evaluated together.

Critical Reading and Deduction appear in less number of items; but its effects are marked in long, dense or more analytical questions.

Raw taxonomy contains 25 Direct Knowledge, 14 Conceptual Comparison and 7 Calculation items. Once Paragraph Inference and Scenario formats appear, Everyday Problem format appears three times.

Direct Knowledge and Direct Proposition can be read as a wider direct-answer family together, but raw category separation is preserved. This family consists of 26 items, namely 43.3% of the test.

Language and reading load; text length, syntax, technical expression, negative wording, conflict/reference tracking and options are coded through close paraphrase relations.

The highest language-load band is represented by Q02, Q04 and Q59. Q02 requires long economics and technology in the passage of turquoise detail tracking. Q04 forces over-interpretation with close causal relation. Although Q59 is a question of physics, it is a kind of reading-heavy and model-heavy item due to wording and two motion phases.

The calculation load is generally low: 50 questions level 1, 3 questions level 2 and 7 questions level 3. There is no question on Level 4 or 5 calculation load.

Higher calculation or modeling load; weak acid pH account, rooted and trigonometric inequalities, rectangle rates and environmental, relative movement, serial-paralel resistance and two-stage strength balance questions appear. The main issue in these questions is not only to do arithmetic, choosing the correct model and maintaining the relevant conditions.

Mental execution load reach to level 4 in nine questions: Q02, Q04, Q07, Q08, Q41, Q48, Q49, Q58 and Q59.

Distractor strength has the highest component average value in model: 2.72/5. Ten questions were coded as distractor-strength level 4. An important part of the wrong options is set around close concepts, missing conditions, examples and typical modelling errors.

Among the repetitive mechanisms include close-concept mess, process/pathway substitution, overgeneralisation, causal over-interpretation, quantifier mess, digest correct statements, invalid reverse inference and missing-constraint control.

The average solution time is about 48.17 seconds according to Analyst Open values. 24 questions 30 seconds or six, 20 questions were classified in the band above 31–60 seconds, 12 questions 61–90 seconds and 4 questions 90 seconds.

Reading Skills has the highest section average value with 102.5 seconds. 65.0 seconds, Logical Reasoning 64.0 seconds and math follow him with 56.4 seconds.

The following examples explain why the power represented without republishing the full question text is selective for high questions.

Low-load examples are also important for interpretation of the report. Q19 is coded with Q33 and Q36 5/25 habit; it represents quick knowledge-checking layer of the test with short stem, definition direct or formula knowledge and relative structure.

All 60 questions have been passed in the second-pass review process. The first and second review sums have not changed in 47 questions; a score up or down adjustment is made in 13 questions. Final values are exhausted after second pass.

Four items marked as Medium-mix are Q03, Q07, Q35 and Q52. Q03 was also noted due to cultural-familiarity uncertainty, Q07 centimeter, Q35 decimal-versus-irrational distractor separation and Q52 source-document unit inconsistency.

Dataset does not support labeling IMAT 2025, which is easy or completely difficult. More accurate characterization is a wide low-to-medium trace base powered by selected high-load points.

The main body of the test is shaped with information recall, conceptual recognition and direct-answer formats. High-load layer appears in areas such as long-passage evidence tracking, relational constraint solving, heterogeneous equilibrium, domain constraints, universal trigonometric conditions, relative motion, centre-distance reasoning and two-stage force balance.

Low average calculation load does not mean that numerical partitions are insignificant. The load in selective numerical questions often comes from the decision of protecting the correct modeling and conditions, not from the number of calculations. Similarly, language load is not limited only to Reading Skills questions; intense physics expressions can also create serious reading and tracking load.

This profile recommends a few careful priorities for candidates prepared after 2025. These do not mean that the same distribution of the next test will be repeated; evidence-based preparation should be read as implication.

• Core science knowledge should be made quick and backward.
• Knowledge study should be carried out with conceptual expectations and new-context application practice.
• Long-passage evidence tracking, negative stems and close paraphrase discrimination should be studied consciously.
• Raw modulus on the math and physics side should be strengthened before model and condition control.
• Distractor Analysis should be part of mock-test review process.
• Candidates should avoid excessive compliance on a single question format because 2025 exam contains nine primary format category.

• Difficult, component load and estimated time values are the result of Research Lab analytical evaluation; not an official IMAT statistics.
• The student has not verified with real performance because there is no correct, wrong, empty and option selection data.
• Estimated time is not real candidate time and does not represent individual solution speed.
• The distractor strength is coded through structural proximity of options; the actual incorrect option density is not measured.
• Two-stage quality control is not independent evaluators.
• Knowledge depth and skill classification use clear decision rules; despite this, the analyst contains interpretation.
• The source document features such as Q52 unit inconsistencies are marked rather than be silently corrected.
• This report analyzes only 2025 exams, which is a separate benchmarking report.

This Annual Report is the main page of 2025 subject-report series. Biology, Chemistry, Physics, Mathematics, Logical Reasoning and Reading Skills reports are published as separate pages.

Technical index shows basic metadata fields of 60 questions without republishing full question texts. The goal report is to make it more transparent, more auditable and easier for future immersion analysis.