IQ vs the UCAT: is it an intelligence test, and why Abstract Reasoning was dropped

0 The short answer

The UCAT is not an IQ test: it is a timed admissions aptitude test, scored on a scale of 300 to 900 per section and compared with other candidates, and no study this review found has measured it against an IQ. Its three cognitive sections probably draw on some of the same broad abilities an IQ battery samples, but no published analysis gives the size of that overlap, so no UCAT score converts to an IQ. The consortium that runs the test withdrew its Abstract Reasoning section in 2025, stating lower predictive validity and high coachability, and the evidence on what the remaining test predicts is real but weak to modest.

1 What Is the UCAT, and What Do Its Sections Assess?

The UCAT is a computer based test of about two hours with four timed sections, three of them cognitive and one a situational judgement test, and the consortium that runs it describes each section as an ability to evaluate or use information, not as intelligence. The UCAT Consortium's test format page, read on October 13, 2026, lists Verbal Reasoning with 44 questions in 22 minutes, Decision Making with 35 questions in 37 minutes, Quantitative Reasoning with 36 questions in 26 minutes, and Situational Judgement with 69 questions in 26 minutes. Each section also has a short instruction period, 1 minute 30 seconds for three of them and 2 minutes for Quantitative Reasoning. The page states that the whole exam takes just under 2 hours, and that incorrect answers carry no negative marking.

The same page describes what each section assesses. Verbal Reasoning assesses the ability to critically evaluate information presented in written form, and the page says it uses eleven passages with four questions each, with no prior knowledge needed. Decision Making assesses the ability to make sound decisions and judgements using complex information, with some questions answered by marking five statements yes or no, where a fully correct set earns 2 marks and a partly correct set earns 1. Quantitative Reasoning assesses the ability to critically evaluate information presented in numerical form, most often through charts and graphs. A simple on-screen calculator is available in Decision Making and in Quantitative Reasoning. Situational Judgement, in the consortium's words, measures the capacity to understand real world situations and identify critical factors and appropriate behavior, using scenarios set in a clinical or training context.

Source: UCAT Consortium test format page, read October 13, 2026. The last column divides section time by question count and ignores the instruction period.

The three cognitive sections are each scaled to 300 to 900, and the cognitive total runs from 900 to 2700. The situational judgement section is reported separately as one of four bands, with Band 1 the highest, so it does not enter the cognitive total, just as no judgement band would enter an IQ score. The studies cited later describe use of the test in selecting medical and dental students in the United Kingdom. Australia and New Zealand run a separate UCAT ANZ site whose structure this review did not verify, so every structural statement here refers to the UK consortium pages named above.

Two features of the format shape what follows. The first is time pressure: at 30 seconds per question in Verbal Reasoning, speed matters as much as depth, a point the page on why IQ tests are timed develops. The second is purpose. An IQ report describes a profile of abilities for a person; a UCAT score helps a medical school rank applicants. The Standards for Educational and Psychological Testing place that difference of purpose at the center of validity.

2 Is the UCAT an IQ Test?

No: an IQ test is an individually normed battery that samples many broad abilities and reports a score against the general population, and the UCAT is a selection test that samples a few reasoning skills and reports a score against other candidates. Three features separate the two. An IQ battery covers a wide set of abilities, usually 10 or more subtests across verbal comprehension, fluid reasoning, visual spatial processing, working memory and processing speed, which is the structure the page on what IQ measures describes. An IQ score is anchored to a general population sample with a mean of 100 and a standard deviation of 15, as explained in the page on how IQ scores are normed. And an IQ report carries a confidence interval and a stated purpose, which is describing cognitive functioning. The UCAT has none of the first two features. It reports on a different scale, 300 to 900 per section, and its percentile tables compare candidates with other candidates.

The consortium's own materials do not claim the test is an IQ test. The 2010 technical report on the UKCAT, written for the consortium by Pearson VUE and still published on the consortium's site, says the test is an aptitude exam designed to measure what it calls innate cognitive abilities, personality and learning styles, and that it is not an exam of student achievement and contains no curriculum or science content. The word "innate" deserves care. No test score can separate what a person was born with from what a person has learned, because every score reflects both, and the later studies in this page show that background and preparation are associated with UCAT scores. The sections of the current test are described, on the pages this review opened, as abilities to evaluate and use information, which is a more defensible description than "innate".

An aptitude test and an intelligence test are not opposites, and the page on aptitude versus intelligence explains why the labels overlap. The difference is what the score is validated for. An IQ test is validated for describing cognitive ability across the population. The UCAT is validated, to the extent it is, for estimating how applicants will perform in training and helping to rank them. A test built for ranking can share a good deal with general ability and still not be an IQ test, a question the page on IQ versus the SAT takes up for another admissions test. For the UCAT the size of that overlap is unknown.

There is also a naming trap. A different product with the same acronym, the Universal Cognitive Aptitude Test sold by Criteria Corp for pre-employment screening, appears in many searches for UCAT and IQ. Criteria Corp's own page, read on October 13, 2026, describes it as 40 items with a 20 minute limit, built to measure general aptitude, and reports a correlation of .80 between that test and Criteria's own Cognitive Aptitude Test in a sample of 252 people. That figure belongs to a hiring test from a vendor, not to the medical admissions test, and it says nothing about the UCAT used for medicine and dentistry.

3 Which CHC Abilities Does Each UCAT Section Draw On?

Read against the Cattell-Horn-Carroll model, Verbal Reasoning leans on comprehension and reading ability, Decision Making and Quantitative Reasoning lean on fluid and quantitative reasoning, and Situational Judgement sits outside the cognitive abilities an IQ battery samples. The CHC model, discussed in McGrew's 2009 paper in Intelligence on CHC theory and the human cognitive abilities project, organizes abilities into broad factors such as fluid reasoning (Gf), comprehension-knowledge (Gc), quantitative knowledge (Gq), visual processing (Gv), short term working memory (Gwm), and processing speed (Gs). The page on the CHC model explains each factor. The mapping below is our reading of the consortium's official descriptions, not a published factor analysis of the UCAT, and a reader should treat it as a way to organize the question, not as a measurement result.

Several things follow from the table. The test has no section that samples visual spatial processing as a target, no section built to measure working memory or processing speed directly, and no section of nonverbal fluid reasoning once Abstract Reasoning has gone. That last point is the reason the withdrawal matters for the IQ comparison. In the 2010 technical report, Abstract Reasoning had 60 scored items in twelve testlets of five items each, with each testlet built on a set of images or configurations of polygons and symbols. That is the format family that fluid reasoning batteries use, which the page on fluid intelligence tests describes. Without it, the cognitive total of the UCAT rests on reading, decision tasks built on complex information, and numerical data, all of which are language or number heavy.

The speeded format also means processing speed contributes to the score without being measured as a separate ability, which is common in reasoning tests, as the page on processing speed explains. A UCAT section score is therefore a mixed measure, and a mixed measure is harder to convert to any single ability than a test built to isolate one.

An IQ battery reports separate index scores so that a reader can see where a profile is high and low, and the page on subtest types shows how subtests map to them. The UCAT reports three section scores and a total. Adding sections is a sensible way to rank applicants, but it is not the operation that builds a Full Scale IQ, which follows its own rules for norming and for the error of a sum.

4 Why Did the UCAT Drop Abstract Reasoning in 2025?

The UCAT Consortium withdrew Abstract Reasoning for 2025 because, in its words, the section had lower predictive validity than the other sections and high coachability, and the independent evidence is consistent with the first reason and silent on the second. The consortium's news page, read on October 13, 2026, carries an announcement dated 11-12-2024, which reads as December 11, 2024 in the day-month-year order a United Kingdom body uses. It says Abstract Reasoning will be withdrawn and that some minor changes will be made to the remaining cognitive sections. The UCAT 2025 page gives the two reasons and a practical one. Removing the section frees time for the others and lets Decision Making carry more questions. The page adds that although the overall total score will differ, the scores for each section remain broadly comparable with previous years.

The pages opened for this review state the reasons without publishing the analysis behind them. They give no validity coefficients, no coaching data and no figures for how Abstract Reasoning scores changed, so a reader can confirm that the consortium said what it said but cannot check the evidence from those pages alone. What an outside reader can check is whether independent research agrees about validity. A systematic review of the predictive validity of the UCAT by Bala, Pedder, Sam and Brown in Medical Teacher, covering 24 cohort studies, ranked the predictors by how often their correlations with medical school outcomes were positive and statistically significant, or mixed positive.

Source: Table 3 of Bala et al., Medical Teacher, 2022, 44(4), 401 to 409. The review's text says the cognitive total and Verbal Reasoning had the largest evidence base, with Abstract Reasoning showing the least. A note on naming: Decision Making was piloted in 2016 and included in UCAT scores from 2017 according to the review, so the Decision Analysis data points describe the earlier section and not the one in use today.

Abstract Reasoning ranks last of the seven, at 7 of 35, which supports the consortium's first reason. The counts mix correlations of different sizes and outcomes, and the same review states that for over 70 percent of univariate data points the UCAT showed no statistically significant predictive validity and that for the rest the predictive power was weak. The review's authors state that they worked independently of the consortium, and one of them discloses a role in an admissions office that uses the UCAT. Abstract Reasoning had as many data points as Verbal Reasoning, 35, so its last place does not come from a thin evidence base.

The technical report adds a point that is easy to miss. In 2010, with four cognitive sections, Abstract Reasoning had the highest internal consistency of the four. Its raw score reliability, as Cronbach's alpha, ran from .82 to .85 across three forms, and its scale score reliability from .85 to .87, while Verbal Reasoning ran .68 to .70 raw, Quantitative Reasoning .75 to .79 and Decision Analysis .63 to .65. The report attributes the pattern partly to length: Abstract Reasoning had 60 scored items against 40, 32 and 26 for the others. So the section that was the most consistent was also the least predictive of medical school performance. That is not a contradiction. Reliability sets a ceiling on validity and does not supply it, a distinction the page on reliability and validity explains with examples. A long, internally consistent section can measure something stable that happens to matter little for the outcome in question.

The same report gives the correlations among the 2010 section scores for 25,257 exams. Verbal Reasoning with Quantitative Reasoning was .554, Verbal Reasoning with Decision Analysis .490, Quantitative Reasoning with Decision Analysis .501, and Abstract Reasoning correlated .355 with Verbal Reasoning, .434 with Quantitative Reasoning and .439 with Decision Analysis. Every correlation is positive and moderate, which is the pattern an overall ability factor would produce, though correlations among sections of one test taken by one selected group do not by themselves identify what the factor is, and the abridged report this review read does not present a factor analysis. Abstract Reasoning had the weakest tie to verbal content, as a nonverbal section would, so its removal leaves a cognitive total with less nonverbal content. Whether that makes the new total predict better or worse is a question for the consortium's future validity work, not for this page.

5 How Are UCAT Scores Reported, and What Do the 2025 Statistics Show?

A UCAT result is three section scores from 300 to 900, a cognitive total from 900 to 2700 and a situational judgement band from 1 to 4, and the 2025 statistics show a mean total of 1891 across 41,354 tests. The consortium's 2025 test statistics page, read on October 13, 2026, reports data valid up to September 26, 2025. The mean section scores were 602 for Verbal Reasoning, 628 for Decision Making and 661 for Quantitative Reasoning. The page does not print standard deviations. It reports the situational judgement bands as 21 percent in Band 1, 39 percent in Band 2, 29 percent in Band 3 and 10 percent in Band 4, which sum to 99 percent, so the page is probably rounding. The consortium's decile table for the total and each section follows.

Source: UCAT Consortium, Test Statistics 2025, read October 13, 2026. We read the 5th decile total of 1880 as the middle of the 2025 distribution because the reported mean, 1891, sits next to it.

Three properties of this reporting differ from an IQ report. First, the scale has no shared standard deviation. In the 2010 report the standard deviations of the section scale scores ranged from about 76 to about 108 depending on the section and form, so a 100 point gap means a different distance in each section, whereas every IQ index uses one standard deviation of 15, a convention the page on the standard deviation of 15 describes. Second, the statistics pages this review read give no confidence interval for an individual score, although the 2010 technical report published a standard error of measurement for each section and for the total. Third, the reference group is the candidates of one year. A decile tells a candidate where a score falls among others who sat that test that year, which is the right information for a selection decision and the wrong information for a statement about intelligence.

6 What Does a Percentile Among UCAT Candidates Mean?

A UCAT percentile places a score among that year's candidates, a group defined by a decision to apply, and it cannot be read as a position among all adults, which is why putting UCAT percentiles on the IQ scale gives numbers that no one should believe. The table below does exactly that conversion, treating each decile as a population percentile and applying the normal curve with a mean of 100 and a standard deviation of 15. It is our arithmetic, shown to expose the error and not to offer an equivalence.

The conversion implies that the lowest tenth of UCAT candidates sit near an IQ of 81 and that the median candidate sits at exactly 100. There is no reason to believe the median applicant to medicine or dentistry sits exactly at the population median, and the arithmetic fails for a structural reason, not a numerical one. A percentile rank is a statement about a specified group, and the group here is whoever chose to sit a selection test that year. The pages on IQ versus the MCAT, IQ versus the LSAT and IQ versus the GMAT work through the same reasoning for those programs, and the page on percentile to IQ conversion gives the formula and its limits.

The direction of the error is not fixed. If applicants are on average more able than the population on the abilities the test samples, a candidate at the 50th percentile among them would sit above the 50th percentile among all adults, and the naive table would understate every row. If they are not, it would not. No published study this review found maps UCAT candidates onto a general population sample, so a page claiming that a specific UCAT total equals a specific IQ asserts something nobody has measured. The page on IQ score versus percentile shows why scores and percentiles from different scales cannot be swapped without a shared reference group.

7 Has Any Study Compared UCAT Scores With IQ?

No study this review found has paired UCAT or UKCAT scores with an individually administered IQ battery, so the overlap between the two is unmeasured, and any figure for it is a guess. The searches behind that sentence were run on October 13, 2026: a PubMed search combining the test names with intelligence, IQ and general cognitive ability terms returned no records, and a web search for any study correlating the UCAT with a measured general ability factor found none, surfacing the Criteria Corp hiring test discussed earlier, which shares the acronym and nothing else, and a short conference abstract this review could not open. A search cannot prove absence, and an unpublished analysis could exist, but the published validity literature reviewed in the next sections never uses an IQ score as a predictor or a criterion.

The absence is less surprising than it looks. A study would need applicants who took the UCAT and also sat a full battery such as a Wechsler scale, which is expensive, while selectors care about medical school outcomes and not about IQ. Existing national studies instead link UCAT scores to administrative records, a design that is cheap and large. MacKenzie and colleagues in BMJ Open linked 6,294 students from 30 programs to national exit data, and Tiffin and colleagues in BMC Medicine followed 6,812 entrants through five years. Neither measured IQ, because neither needed to.

If someone ran the study, three results would be possible and each would mean something different. A high correlation, after correcting for the selection of applicants, would say the sections largely sample the same general ability an IQ battery does, though not that they are interchangeable, since two tests can correlate strongly and still differ in what they add to a prediction. A moderate correlation would say the UCAT samples a mix of reasoning, reading speed and test familiarity that shares only part of its variance with IQ. A low one would say the UCAT mostly captures something else. The 2010 intercorrelations among sections, .355 to .554, hint that the sections share a common factor, but a common factor among sections is not the same as a common factor with an IQ battery. The page on the g factor explains why such factors are defined within a battery and how their identity is tested across batteries.

Until someone measures it, the honest statement is bounded. The three current cognitive sections very probably load on general ability to some degree, as most reasoning tests do, and the size of that loading is unknown. Because the situational judgement band is not a cognitive score, a UCAT result as a whole is not an estimate of IQ either way. That is why this page declines to give a conversion table, and why one offered elsewhere should be treated as an invention.

8 What Does the UCAT Predict in Medical School?

Across national cohorts and two systematic reviews, UCAT scores predict medical school performance with statistically significant but weak to modest effects, with the total and Verbal Reasoning predicting best and the relationship stronger for knowledge examinations than for skills. The table sets the main studies side by side. Every row concerns the UKCAT or UCAT as it stood before the 2025 change, so the results describe a four section test with Abstract Reasoning in it, and no study this review found describes the current three section test.

Greatrix and colleagues (the first author lists a UCAT affiliation) add detail on where the relationship is strongest. The strongest links with performance were for the total score and the Verbal Reasoning section, and relationships with knowledge based assessments were higher than those with assessments of skills. They also found that relationships in small studies from one or two centers were larger than in multicenter studies, a pattern that warns against reading single school findings as typical. Their conclusion is that UKCAT scores predict medical school performance, that the relationship is generally weak, and that it is noticeably stronger for the total and for Verbal Reasoning.

McManus and colleagues compare the test with the measure it sits beside in selection. Their summary figure for first-year examinations puts the UKCAT at .245 and A-levels at .809, and they note that intellectual aptitude tests had lower construct-level predictive validities than A-levels or GCSEs and O-levels. In plain terms, in these cohorts prior school attainment carried most of the predictive weight and the aptitude test added a smaller increment. The authors describe educational attainment as accounting for perhaps 65 percent of true variance in first-year performance, and they ask what accounts for the rest.

The non-cognitive section has its own evidence. Patterson and colleagues in Academic Medicine studied 218 first-year medical and dental students from four United Kingdom schools who had taken the first UKCAT situational judgement test in 2013. Scores correlated with educational supervisors' mean ratings of in-role performance at an uncorrected r of 0.24, which became 0.34 after correction, and with an overall judgment of performance at an uncorrected rank correlation of 0.16, corrected to 0.20. The score predicted 6 percent of the variance in the mean ratings. That is a modest effect for a different kind of outcome, and it confirms that the situational judgement section should not be folded into any cognitive summary.

Two cautions complete the picture. One systematic review found that the only study to look at a postgraduate outcome showed no prediction of fitness to practice declarations at registration by the UCAT, which is a reminder that these correlations concern examination performance and not every outcome medical schools care about. And a significant correlation is not a large one: at r of 0.24 or 0.30, most of the variation in medical school performance is unrelated to the test score, a point the page on IQ and academic achievement makes for IQ itself.

9 Why Do Correlations Inside a Selected Pool Mislead?

A correlation computed only among applicants who were admitted understates how well a test would predict across the whole applicant pool, and the corrected figures that fix this rest on assumptions a reader should see. Medical schools see exam results only for the students they admitted, and those students were chosen partly on the basis of the same test scores and of the prior attainment that correlates with them. When admission narrows the range of scores, the observed correlation between score and outcome shrinks even if the underlying relationship is unchanged. The effect is called range restriction, and the page on reliability and validity describes how it interacts with measurement error.

McManus and colleagues built their meta-regression to address this. They calculated construct-level predictive validity, an estimate of the true predictor-outcome correlation across the range of applicant abilities, using a method by Hunter, Schmidt and Le adapted for another distortion, the right censoring of examination results caused by grade inflation. Across the 57 correlations they analyzed, the mean construct-level validity was .450 against a mean observed correlation of .171. Correcting for range restriction and measurement error more than doubles the average, which is why the corrected and observed figures in the table above should never be set side by side as if they were the same quantity.

The Bala review shows how the same issue appears in a literature review. The authors note that results may to some extent reflect range restriction in the included studies, say that where studies reported both corrected and uncorrected results they used the corrected data, and point out that studies in which the UCAT had not been used as a selection criterion would escape the problem. They also list heterogeneous outcome measures and unweighted means among the limitations, which limits how much a pooled percentage can say. Both directions of error exist, and a reader who holds only one of them will misjudge the test either way.

The Standards for Educational and Psychological Testing set a rule for this situation. Standard 1.21 says that when statistical adjustments such as those for restriction of range or attenuation are made, both the adjusted and the unadjusted coefficients, the procedure used and all the statistics used in the adjustment should be reported. A claim that the UCAT "really" predicts at .245 or .450 is therefore incomplete unless the observed values and the assumptions travel with it.

Selection also changes what a test can do in practice. Tiffin and colleagues treated the UKCAT as a screening test for failing at least one year at first attempt, with the mean applicant score as the cutoff. The number needed to reject was 1.18, which in their words means roughly one candidate who would likely have passed all years at the first sitting would be rejected for every higher risk candidate declined entry. A test of modest validity is a poor sorting tool at a hard cutoff, though the same authors say it may add value alongside other selection measures.

10 How Much Do Coaching and Background Move UCAT Scores?

The consortium says Abstract Reasoning had high coachability, the one controlled look at coaching in a UCAT sample found no significant effect among interviewed applicants, and large group differences in scores by sex, area and school type show that a score carries more than ability. The consortium gives no coaching data on its 2025 page, so the claim about Abstract Reasoning rests on its statement alone. The Standards for Educational and Psychological Testing say that if gains from short term coaching are viewed as a threat to validity, the way to test it is to investigate whether coached and uncoached groups perform differently, which is the design the next study approximates.

Griffin and colleagues in the Medical Journal of Australia studied applicants to three New South Wales undergraduate medical programs: 4,114 for 2019 entry, who sat the older UMAT, and 4,270 for 2020 entry, who sat the UCAT, with 703 applying in both years. Among 624 surveyed interviewees for 2020, 291 (46.6 percent) reported attending coaching. The paper reports that the impact of professional coaching on UCAT performance was not statistically significant among those accepted for interview, with an effect size for the total score of 0.13 and a 95 percent interval from negative 0.03 to 0.29, and that after adjusting for age, sex and school ranking coaching had no significant effect on any section score. Three limits apply. The sample is interviewees only, who are already a selected group. The coaching data are self reported. And the study is of the Australian and New Zealand administration, in a year before the structure changed, so it says nothing direct about the section the United Kingdom consortium later withdrew.

The same study documents group differences in scores. The authors report standardized differences in UCAT total score of 0.38 by sex, 0.43 by socioeconomic status of the applicant's area and 0.48 by rurality, and their conclusion is that women and applicants from lower socioeconomic areas or from outside major cities scored lower. In 2020, women made up 53.9 percent of applicants (2,303 of 4,270) and 44.3 percent of interviewees (476 of 1,074). A score gap of that kind is not a statement about ability differences between groups, and the page on whether IQ tests are biased explains the distinction between a group difference in a score and bias in what the score means.

Kumwenda and colleagues in BMJ Open looked at the United Kingdom side with a national multi-cohort study of students who graduated from 33 medical schools in 2012 and 2013. Students from independent schools had a higher mean UKCAT total, 2535.1 with a standard deviation of 209.6, than students from state-funded schools, 2506.1 with a standard deviation of 224.0. Yet students from state-funded schools were almost twice as likely to finish in the highest rank of the national educational performance measure, with an odds ratio of 2.01 and a 95 percent interval from 1.49 to 2.73. A higher mean admission test score in one group was not matched by a higher exit ranking, which is a caution against reading an aptitude score as a pure measure of capacity or as a guarantee of outcome.

Preparation is not unique to the UCAT: the pages on how to prepare for an IQ test and on whether you can increase your IQ cover what practice does to reasoning scores. This review found no published retake or practice effect data for the UCAT, so it states no figure for it.

11 What Does an IQ Test Measure That the UCAT Does Not, and the Reverse?

An IQ battery measures a broad profile of abilities against the population, and the UCAT measures a narrow set of timed reasoning and judgement skills against other candidates, so each answers a question the other cannot. The comparison below sets the instruments side by side on the points that matter for interpretation.

The UCAT samples three things an IQ battery usually does not. It tests how fast a candidate can read and evaluate passages under a clock, it tests use of data presented in charts as a task format, and through its situational judgement section it tests a judgement about behavior that is not a cognitive ability at all. An IQ battery, in turn, samples abilities the UCAT leaves out as targets: visual spatial processing, working memory, processing speed measured directly, and nonverbal fluid reasoning now that Abstract Reasoning has gone. The ACIS test, for comparison, reports a fluid reasoning index from Matrix Reasoning, Figure Weights and three other subtests, and a separate quantitative reasoning index from Arithmetic and Mathematical Achievement, which shows how a full battery separates what the UCAT merges into a total.

Would an IQ score predict a UCAT score? No study this review found has tested it, so the answer is a bounded inference and not a finding. A reasoning test shares some variance with general ability, but UCAT sections also depend on reading speed, chart use and preparation that an IQ score does not capture, and even a substantial correlation would leave large differences between individuals. An IQ score cannot stand in for a UCAT result, and a UCAT result cannot stand in for an IQ score.

12 What the Evidence Supports, Stated Narrowly, and How to Read a Score

The evidence supports five narrow statements about the UCAT and IQ, and the Standards for Educational and Psychological Testing say that a score should be interpreted only for the use the evidence supports. The Standards for Educational and Psychological Testing, published jointly by AERA, APA and NCME in 2014, define validity as the degree to which evidence and theory support the interpretations of test scores for proposed uses, and state that it is the interpretations that are evaluated, not the test itself. The Standards also describe percentile rank norms as indicating standing within a defined population, which is exactly why a UCAT decile and an IQ percentile are different statements. The American Psychological Association is one of the three publishers of that framework, and the principle it states is the one this page follows: read a UCAT score only for the purpose the cited validity studies examined, which is predicting medical school performance.

Stated narrowly, the evidence on this page supports four statements. The UCAT is a timed admissions test with three cognitive sections and a situational judgement band, according to the consortium's pages read on October 13, 2026. The consortium withdrew Abstract Reasoning for 2025, giving lower predictive validity and high coachability as reasons, and an independent review found it had the least favorable record of the predictors it ranked. Before 2025, UCAT scores predicted medical school performance with statistically significant but weak to modest effects, weaker than prior attainment in a meta-regression of six studies. And a UCAT percentile compares a score with other candidates, and no study this review found measured the test against an IQ battery, so no conversion exists.

Several things the page does not say matter as much. A high UCAT score does not show a high IQ, and a low one does not show a low IQ, because the test samples a mix of reasoning, reading speed and format familiarity and the reference group is applicants. Group findings are not predictions for any person: the correlations above describe cohorts, and the studies themselves note that most variation in outcomes is unrelated to the score. The test does not measure how good a doctor someone will become, and the page does not rank applicants, schools or specialties. Nothing here is clinical, and a cognitive test of any kind cannot diagnose a condition.

We sell a paid, online, self-administered cognitive assessment, so treat this paragraph as a disclosure and check it against the rest of the page. ACIS reports six indices and a Full Scale IQ on the standard scale, with a mean of 100 and a standard deviation of 15, plus percentiles and a 95 percent confidence interval, against adult norms for ages 16 to 90. On October 13, 2026, the Quick form cost 15 dollars for 6 subtests and about 45 minutes, the Optimized form 30 dollars for 13 subtests and about 110 minutes, and the Full Scale form 50 dollars for all 20 subtests and about 175 minutes, each as a one time payment with no subscription, breaks allowed and 30 days to finish. There is a free trial that needs no card and a 5 day quality guarantee, and prices can change. The limits are plain. ACIS is online and unsupervised, it is not a clinical or diagnostic instrument, it is not for hiring, school accommodations or admission to high IQ societies, and it is available in English only. Nothing on this page is evidence that ACIS scores relate to UCAT scores, because no cited study used it. The technical manual documents the instrument, and the page on IQ vs GED and the page on how IQ tests are made cover neighboring questions about what a test is built to do.

13 Sources Behind This Page

Every figure on this page is traceable to one of the following sources, and each is linked at the point where it is used. Web pages and documents were read on October 13, 2026 and can change. The calculations labeled as our arithmetic in the body are computed on published numbers and are not findings of the sources: the seconds per question, the 3600 maximum of the old four section structure, the share of the 5th decile reading, and the normal curve values in the conversion table. The mapping of sections onto CHC abilities is our reading of the consortium's descriptions and not a published factor analysis. The APA page on the Standards could not be opened by the tools used, so no claim here rests on it.

• UCAT Consortium. Test format (Verbal Reasoning, Decision Making, Quantitative Reasoning, Situational Judgement; timings and scoring). ucat.ac.uk, read October 13, 2026. ucat.ac.uk
• UCAT Consortium. UCAT 2025 (withdrawal of Abstract Reasoning, reasons, timings, scoring, comparability). ucat.ac.uk, read October 13, 2026. ucat.ac.uk
• UCAT Consortium. UCAT 2025 news announcement, dated 11-12-2024. ucat.ac.uk, read October 13, 2026. ucat.ac.uk
• UCAT Consortium. Test Statistics 2025 (41,354 tests, data valid to September 26, 2025, means and deciles). ucat.ac.uk, read October 13, 2026. ucat.ac.uk
• UKCAT Consortium and Pearson VUE. UKCAT 2010 Technical Report (abridged): design of the exam, reliability, standard error of measurement and correlations among sections. ucat.ac.uk, read October 13, 2026. ucat.ac.uk
• Bala, L., Pedder, S., Sam, A., and Brown, C. (2022). Assessing the predictive validity of the UCAT: A systematic review and narrative synthesis. Medical Teacher, 44(4), 401 to 409. doi:10.1080/0142159X.2021.1998401
• Tiffin, P., Mwandigha, L., Paton, L., Hesselgreaves, H., McLachlan, J., Finn, G., and Kasim, A. (2016). Predictive validity of the UKCAT for medical school undergraduate performance: a national prospective cohort study. BMC Medicine, 14. doi:10.1186/s12916-016-0682-7
• Greatrix, R., Nicholson, S., and Anderson, S. (2021). Does the UKCAT predict performance in medical and dental school? A systematic review. BMJ Open, 11(1), e040128. doi:10.1136/bmjopen-2020-040128
• MacKenzie, R., Cleland, J., Ayansina, D., and Nicholson, S. (2016). Does the UKCAT predict performance on exit from medical school? A national cohort study. BMJ Open, 6(10), e011313. doi:10.1136/bmjopen-2016-011313
• McManus, I., Dewberry, C., Nicholson, S., Dowell, J., Woolf, K., and Potts, H. (2013). Construct-level predictive validity of educational attainment and intellectual aptitude tests in medical student selection: meta-regression of six UK longitudinal studies. BMC Medicine, 11. doi:10.1186/1741-7015-11-243
• Griffin, B., Horton, G., Lampe, L., Shulruf, B., and Hu, W. (2021). The change from UMAT to UCAT for undergraduate medical school applicants: impact on selection outcomes. Medical Journal of Australia, 214(2), 84 to 89. doi:10.5694/mja2.50877
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14 Frequently Asked Questions