Module 7 — The Monotropism Questionnaire — Autistic Attention and Deep Focus

 

What monotropism claims about autistic attention, how a questionnaire written by autistic people came to exist, why its 47 items collapse into a single averaged score, and an honest account of how little of it has been independently tested.

 

Autistic Self-Discovery · Part Three — Masking and the Shape of Your Mind · 13 min read, about 26 min with the workbook

 

The big idea

 

If you have ever lost four hours to something and looked up genuinely startled that it was dark, or needed twenty minutes of run-up to start a task you actually wanted to do — this module is about a theory of autistic attention that autistic people wrote themselves, and about the questionnaire built from it. It is also about how much that questionnaire has been tested, which is less than most people using it realize.

 

A high score does not tell you that you are autistic. On the developers' own data it is raised by ADHD as well, and raised furthest when both are present. Anyone using this number as evidence for one explanation is using it for something it was never built to do.

 

Step 1 — The lesson

 

A. One tunnel, not a searchlight

 

Most accounts of autism begin with a list of things that are missing. Monotropism begins somewhere else entirely. It begins with attention, and with the ordinary observation that there is only so much of it to go round.

 

The claim is simple to state. Attention is a limited resource. In a monotropic mind, most of it pours into a small number of interests at any one time, and the channel that results is unusually deep and unusually bright. Outside that channel, comparatively little gets in. A polytropic mind spreads the same pot more thinly across more things at once, which costs depth and buys flexibility.

 

In 2005 Dinah Murray, Mike Lesser and Wenn Lawson took that idea into the journal Autism and argued something bolder: that the first two strands of the autism criteria — the social and communication ones — can be derived from the third, the restricted range of interests.¹ On that reading you are not looking at three separate deficits that happen to travel together. You are looking at one way of allocating attention, with consequences that show up everywhere.

 

Diagram — A · Two ways to spend attention. The columns are budgets, not verdicts. A monotropic budget buys depth and pays for it in switching costs; a polytropic one buys flexibility and pays for it in depth. Most people sit somewhere between the two rather than at either end.

 

On an ordinary Tuesday this is what it looks like. Somebody says your name three times and you hear it on the third. You know a task will take forty minutes and it still takes twenty minutes to begin. Being interrupted mid-thing is not mildly annoying, it is a physical wrench, and afterwards the thread you were holding is genuinely gone rather than paused. You avoid starting something enjoyable at four o'clock because you know you would have to stop at five.

 

The inside of the tunnel is not, on the whole, a bad place. When researchers interviewed 24 autistic adults about deep task immersion, what came back was an all-encompassing experience that people valued precisely because in it they could be themselves with no pretences — alongside a real struggle to find the balance between that and the rest of a life.² The same team interviewed the same 24 adults about inertia, the difficulty of starting and of stopping, and heard it described as the single most disabling part of being autistic, while also being the thing that makes the absorption possible.³

 

Both of those are true at once. That is worth holding on to, because the questionnaire below hands you one number, and one number is not built to say two things.

 

B. Written by the people it describes

 

Most questionnaires begin with a research team deciding what is worth asking. This one did not, and the difference is the most interesting thing about it.

 

The items were generated by an autistic-led community group that included both academics and lay members with a shared interest in monotropism theory. Members proposed items and commented on each other's suggestions, three representatives met to work through the results, and the group reviewed the final set.⁴ What came out was 47 statements answered on a five-point scale from strongly disagree to strongly agree, with a not-applicable option for statements that do not apply to your life.

 

Diagram — B · How the questionnaire got here. Eighteen years passed between the theory being published and anyone building a measure of it. That gap is itself informative: monotropism grew up in the autistic community rather than in the clinical literature, and the measurement caught up late.

 

1,110 adults completed it: 756 autistic, including people who identified as autistic without a formal assessment, and 354 non-autistic, including people who were unsure. Ages ran from 16 to 78.⁴ That is a large sample by the standards of a new self-report measure, and it was recruited from exactly the community the instrument is about.

 

Participatory design of this kind is rarer than it should be, and it does something specific. It changes which questions get asked. A research team working from a deficit-first model would be unlikely to think of asking whether a special interest reduces your anxiety, or what happens to your focus when the room around you changes. Those are questions that come from the inside.

 

It is worth being clear about what participatory design does not do. It improves face validity, which is to say the questions feel right to the people answering them, and it earns a level of trust that few instruments in this field have. It does not, on its own, establish that the underlying construct exists, that it is separable from things we already measure, or that a score on it means anything stable. Those are separate questions, and section D is where they get answered honestly.

 

C. Eight threads, one number

 

When the 1,110 sets of answers were analyzed, monotropism did not come out as one clean thing. Eight dimensions did.

 

The paper names them as special interests; rumination and anxiety; need for routines; environmental impact on the attention tunnel; losing track of other factors when focusing on special interests; struggle with decision-making; anxiety-reducing effect of special interests; and managing social interactions.⁴ Read that list slowly. It is a surprisingly good map of a week.

 

Diagram — C · Eight threads, one number. Eight factors were supported by a 41-item version of the questionnaire. The version in circulation still has 47 items, and every one of them is folded into a single average, so none of the eight ever reaches you as a separate score.

 

The scoring is worth stating plainly because it is the thing people most often get wrong. Your item answers are averaged, not added. The published version produces a score on a scale from one to five, with higher meaning more monotropic.⁴ The screener on our site averages in the same way but reports on a nought-to-six scale, which is a difference in presentation, not in meaning — and it is a difference you should know about before comparing your number to any figure quoted in the research.

 

Averaging eight dimensions into one number has a cost. Two people can arrive at the same score by very different routes: one whose interests are enormous and joyful and whose social life is fine, another whose score is carried almost entirely by rumination, routine and difficulty with decisions. Those two people need different things. The score cannot tell them apart, and no subscale norms exist to help, because they have never been published.

 

D. What the number does not mean

 

This is the section that matters most, so here are the actual figures rather than an impression of them.

 

Internal consistency is high: McDonald's omega total was .96 and omega hierarchical .81, which means the items hang together well and a general monotropism factor accounts for a large share of that. Autistic participants averaged 4.15 (SD 0.347) and non-autistic participants 3.19 (SD 0.578), a difference significant at p < .001. Total scores correlated with the RAADS-14 at rs = .78 and with the AQ-10 at rs = .71.⁴

 

Those correlations are usually presented as good news, and in one sense they are. In another sense they are the central problem. A measure that shares that much variance with two existing autistic traits screeners has not yet shown that it is measuring something the field did not already have. Convergent validity and redundancy look identical from the outside until somebody tests them apart.

 

The score is also not specific to being autistic. In the development sample, having ADHD predicted a 0.56-point increase in monotropism score, and the highest scores of all belonged to autistic people who also have ADHD, averaging 4.21.⁴ Independent work points the same way: a study of 492 adults split across comparison, ADHD-only, autistic-only and autistic-plus-ADHD groups found hyper-focus, inattention and hyper-vigilance running through both conditions rather than marking one of them.⁵

 

Then there is the question of whether self-report about attention matches attention. One study tested 18 autistic and 22 comparison adolescents with questionnaires, caregiver report and laboratory measures including event-related brain potentials. The autistic group reported more hyperfocus, but the brain measures showed no group differences, the behavioral attention-capture measures showed no differences, and the authors reported that the different types of attention measure were generally not related to one another.⁶ A questionnaire about focus and a laboratory measure of focus are not yet known to be about the same thing.

 

A further team asked whether monotropism is even distinct from the concepts sitting next to it. With 111 autistic and 39 non-autistic adults completing measures of monotropism, hyperfocus, autotelic personality and ADHD inattention, the analysis produced two underlying components rather than one: an intense, enjoyable focus that tracked with sensory sensitivity and anxiety, and an inattention component that tracked with anxiety directly.⁷ Attention in autistic adults appears to be at least two things, not one.

 

Even the friendly literature says so. A 2025 perspective piece arguing for neuro-affirmative practice, and drawing directly on monotropism, states plainly that a clear limitation is the current lack of empirical support.⁸ Monotropism is popular, useful and widely loved in the autistic community. It is not, at this point, established in mainstream clinical science, and pretending otherwise would not help you.

 

Which brings us to the bands on our own screener. A score of 0 to 3.3 is labeled Low Prevalence of Monotropic Traits and 4.3 to 6 High Prevalence of Monotropic Traits. Two things about that. The range key leaves the stretch between 3.3 and 4.3 without a label, so if you land there you have not been given a band. And the 3.3 figure does not come from the developers at all: it traces to a community guide describing roughly where the average non-autistic person sits.⁹ It is a reference point, not a threshold.

 

The developers publish no cut-off, no norms and no accuracy figures. Sensitivity and specificity have never been calculated for this questionnaire, because it was never designed to sort people into groups. Test-retest reliability was not assessed either, so nobody knows whether your score next month will resemble your score today.⁴ And the development paper itself remains a preprint. We could not find a peer-reviewed journal version indexed in PubMed or in Crossref as of August 2026.

 

Diagram — D · What has been measured. Read the blanks, not the ticks. An instrument can have excellent internal consistency and still tell you very little, because consistency only shows the items agree with each other — not that they agree with anything outside the questionnaire.

 

INSIDE THE INSTRUMENT

 

MQ — the Monotropism Questionnaire

 

Where it came from

 

Monotropism is a theory of autistic cognition developed by autistic thinkers, not by a clinical research program. Murray, Lesser and Lawson published it in Autism in 2005, proposing that atypical strategies for the allocation of attention are central to the condition and that the social and communication criteria are derivable from the restricted range of interests.¹ The questionnaire followed eighteen years later, developed by Garau, Murray, Woods, Chown, Hallett, Murray, Wood and Fletcher-Watson with an autistic-led community group generating and reviewing the items.⁴

 

What it is made of

 

Forty-seven statements on a five-point Likert-type scale (1 = strongly disagree to 5 = strongly agree) with an additional not-applicable option. Scores are averaged across items, so the published metric runs from one to five, with higher scores indicating more monotropism.⁴ Exploratory factor analysis supported an eight-factor solution on a 41-item version. There are no subscale scores in use and no short form.

 

How well it performs

 

Internal consistency in the development sample was strong: omega total .96, omega hierarchical .81. Autistic participants (n = 756) averaged 4.15 (SD 0.347) against 3.19 (SD 0.578) for non-autistic participants (n = 354), p < .001. Convergent correlations were rs = .78 with the RAADS-14 and rs = .71 with the AQ-10. ADHD independently predicted a 0.56-point increase, and autistic participants with ADHD scored highest at 4.21.⁴

 

Where it was validated

 

One sample: 1,110 adults aged 16 to 78, recruited online, no nationality restriction, with self-identifying autistic participants included by design. The authors describe the sample as predominantly White and highly educated, and note that participation is likely to have been inaccessible to autistic people with co-occurring intellectual disabilities.⁴ The instrument has not been re-validated in any independent sample.

 

What it cannot do

 

It has not been peer reviewed. The development and validation paper remains an Open Science Framework preprint. A search of PubMed and of Crossref, including the journal Autism specifically, returned no peer-reviewed version as of August 2026. Everything in the paragraph above rests on a manuscript that has not been through external review.⁴

 

There is no cut-off, no norm table and no accuracy estimate. Sensitivity, specificity and predictive values have never been calculated, and the authors do not offer a threshold. The widely circulated figure of 3.3 comes from a community interpretation guide describing approximately where non-autistic respondents sat, not from the development paper.⁹ Any banding built on it, including ours, is a presentational convenience.

 

Discriminant validity is unestablished and the construct may not be distinct. Correlations of .78 with the RAADS-14 and .71 with the AQ-10 leave open the possibility that the MQ largely re-measures autistic traits.⁴ A study of 111 autistic and 39 non-autistic adults comparing monotropism against hyperfocus, autotelic personality and ADHD inattention extracted two components, not one.⁷

 

Self-report focus does not converge with measured focus. In 18 autistic and 22 comparison adolescents, questionnaire-reported hyperfocus was elevated while event-related potentials and laboratory attention-capture measures showed no group differences, and the attention measures were generally unrelated to one another.⁶ Related work in young autistic children found hyper-focus, sticky attention and springy attention behaving as separable constructs with different correlates.¹⁰

 

It is not specific to autism. ADHD raises scores in the development data, and a trans-diagnostic study of 492 adults found hyper-focus and inattention elevated across autistic and ADHD groups alike.⁵ Elevated monotropism should be read as a description of attentional style, not as evidence for any particular explanation.

 

Test-retest reliability was not assessed. The authors name this as an important area for future work.⁴ There is currently no evidence that a score is stable across time, which matters for anyone tempted to use it to track change.

 

What a clinician does with it

 

Use it as a structured conversation about attention, transitions and interests, not as a measurement. The eight factors make an excellent interview schedule: interests, rumination, routines, environmental effects on focus, loss of track while absorbed, decision-making, the regulating function of interests, and social management. The clinically useful output is the pattern and its functional consequences — what a switch costs, what an interruption costs, what an interest is doing for anxiety. The theory has also proved genuinely useful as a reframing device in the literature, for example in re-reading 17 verbal fluency studies whose heterogeneity had been written up as deficit.¹¹ Do not enter the score into a formulation as though it were a validated index.

 

Validity tier: 3 — openly developed and openly published, but as a preprint: not peer reviewed, not independently replicated, with no norms and no cut-off. The brief for this module proposed tier 1; the evidence we could verify does not support it, because the single validation study has never cleared external review and no independent laboratory has calibrated the instrument.

 

Diagram — E · Several roads, one high score. This is the caveat to carry out of the module. A high score is a real description of how your attention behaves. It is not a finding about which explanation applies to you, and the developers' own data show ADHD pushing the number up too.

 

STRENGTHS LENS

 

The thing you have been apologizing for is the same thing you are good at.

 

A mind that puts most of its attention into one channel produces work other people cannot produce. The depth is not a side effect of the difficulty; it is the same property looked at from the other end. Whatever you know absurdly well, whatever you noticed that nobody else noticed, whatever you finished when everyone else got bored — that came from the tunnel.

 

What has usually gone wrong is not the attention style but the environments built around a different one: open-plan rooms, back-to-back meetings, five priorities at once, and a culture that reads switching speed as competence. Naming your budget lets you design for it instead of failing at somebody else's. The questionnaire is weak evidence about autism and strong material for that conversation.

 

F. What helps

 

Almost everything that helps here is about protecting the edges of a task rather than the middle of one. The middle takes care of itself. The expensive parts are getting in, being pulled out, and being asked to be somewhere else in ten minutes.

 

1. Protect the run-up, not just the task.

 

If a job takes forty minutes and twenty of those are spent getting in, then the job takes sixty and your calendar is lying to you. Block the run-up as though it were the work, because it is. Keeping the same opening ritual each time — same desk, same music, same first small step — shortens it more than willpower does.

 

2. Ask for warnings, and give them.

 

An interruption without notice costs far more than the minute it takes. Agree a signal with the people you live and work with: five minutes' notice before you are needed, and nothing that is not on fire in between. Offer the same in return, because the people around you are paying a switching cost too, just a smaller one.

 

3. Build the day in blocks, not in switches.

 

Count the number of times you have to change what your mind is holding, not the number of hours you work. Four switches in a morning will flatten you more reliably than four hours on one thing. Batch the small things into one slot, put the deep thing where it will not be broken into, and treat a day with six context changes as a full day even if nothing got finished.

 

4. Use an interest as the road in, not a reward at the end.

 

The conventional advice is to finish the boring thing and then let yourself have the interesting one. That runs against how a monotropic mind actually starts. Attach the dull task to the live channel instead: do the admin in the same session as the thing you care about, or find the version of the task that touches the interest. The tunnel is much easier to widen than to open from cold.

 

5. Put the ask in workplace language, not in diagnosis language.

 

"I am monotropic" explains nothing to most managers. "Send me the agenda 24 hours ahead, no unscheduled questions before eleven, and give me one uninterrupted block each morning" is a request somebody can actually grant. Your answers in the workbook below are the raw material for exactly that sentence.

 

Step 2 — Take the screener

 

Forty-seven statements, three to five minutes, free and confidential. Your answers are averaged rather than added, so what comes back is a single score between 0 and 6 describing how monotropic your attention looks. Read section D before you read too much into it: the questionnaire has never been peer reviewed, and a high score is raised by ADHD as well as by being autistic.

 

Take the Monotropism Questionnaire

 

Before you start

 

The Monotropism Questionnaire is a self-report measure of an attention style, not a test for autism, and the people who built it have said so repeatedly. Its development and validation study remains an unrefereed preprint, it has one validation sample, no test-retest data, no independent replication, no norms and no published cut-off, and no sensitivity or specificity has ever been calculated for it. Scores are raised by ADHD as well as by being autistic, and are highest of all in people who are both, so a high result does not point at one explanation. This is a screen and a structured conversation starter, nothing more. Only a clinician can diagnose.

 

Step 3 — Your workbook

 

Your answers save to this device only — we cannot see a word of what you write. This module turns an abstract score into the four practical things it is actually good for: what your tunnel is, what getting in and out of it costs, how many context switches a day you are carrying, and the one sentence you could ask someone for.

 

Your Monotropism Questionnaire result

 

Took the screener? Put your number in below. Remember the score is an average of your item answers, not a total — and it is a description of attention, not evidence about autism. Entirely optional — skip it if you would rather just read.

 

Score bands: 0–3.3 = Low Prevalence of Monotropic Traits; 4.3–6 = High Prevalence of Monotropic Traits

 

Fields: MQ · Monotropism Questionnaire, 47 items; Total score (0–6); My average score (enter 0–6); If your score landed between 3.3 and 4.3, the range key gives no band. What would you say about yourself instead?

 

Your tunnel, described

 

Section A. Not the interest itself — what happens to the rest of the world while you are in it.

 

Fields: What I disappear into most often; What stops reaching me while I am in there; Coming out of it feels like: A gentle surfacing / A wrench / Depends entirely on who pulled me out / I mostly do not come out until it is finished

 

The run-up and the wind-down

 

Section F, item 1. The middle of a task is rarely the expensive part.

 

Fields: How long it actually takes me to get in; My opening ritual, or the one I could build; Tick: I will block the run-up in my calendar as though it were the work

 

The interruption protocol

 

Section F, item 2. Two sentences you could agree with someone this week.

 

Fields: Who interrupts me most; The warning I want from them; The warning I will give them in return

 

Counting switches, not hours

 

Section F, item 3. Take yesterday or a typical Tuesday and count the context changes rather than the tasks.

 

Fields: Switches in a typical day; Which two could be batched into one block; What flattens me faster: A long day on one thing / A short day with many changes / Both equally / I had never separated the two before

 

The ask, in workplace language

 

Section F, item 5. One request a manager, a partner or a housemate could actually grant tomorrow. No diagnosis words.

 

Fields: Who I would say it to; The exact sentence; Tick: I have said it, or picked a date to say it

 

Appendix — Research companion

 

Peer-reviewed research

 

10. Dwyer P, Sillas A, Prieto M, Camp E, Nordahl CW, Rivera SM (2024). Hyper-focus, sticky attention, and springy attention in young autistic children: associations with sensory behaviors and cognitive ability. Autism Research, 17(8), 1677-1695. DOI 10.1002/aur.3174. View the paper A study of attention in young autistic children distinguishing hyper-focus, sticky attention and springy attention and relating each to sensory behaviours and cognitive ability. It matters for this module because it treats intense focus as several separable constructs with different correlates rather than as one monotropic trait, which is the empirical question the Monotropism Questionnaire has not yet answered. Limitation: a young child sample assessed partly through caregiver report, with no adult self-report measure and no administration of the Monotropism Questionnaire, so it bears on the construct rather than on the instrument.

 

6. Dwyer P, Sillas A, Saron CD, Rivera SM (2025). Investigating autistic hyperfocus and monotropism: limited convergence of event-related potentials, laboratory tasks, and questionnaire responses. Research in Autism, 127, 202683. DOI 10.1016/j.reia.2025.202683. View the paper Eighteen autistic and 22 comparison adolescents completed self-report and caregiver-report questionnaires alongside laboratory measures of visual working memory, cross-modal attention and event-related brain potentials. Autistic participants reported elevated hyperfocus and showed reduced visual working memory capacity, but the brain potentials indexing hyperfocus showed no group differences, behavioural attention-capture measures did not differ, and the different types of attention measure were generally not related to one another. Hyperfocus correlated with misophonia and sensory hyper-reactivity, and participants and caregivers rated its effects as modestly positive. Limitation: 40 adolescents in total is a small sample for null findings, the study measured hyperfocus rather than the Monotropism Questionnaire itself, and the authors note that laboratory settings may not capture real-world autistic attention.

 

5. Dwyer P, Williams ZJ, Lawson W, Rivera SM (2026). A trans-diagnostic investigation of attention and diverse phenotypes of 'auditory hyperreactivity' in autism, ADHD, and the general population. Journal of Attention Disorders, 30(1), 57-81. DOI 10.1177/10870547251361226. View the paper A trans-diagnostic online and psychoacoustic study of 492 adults split into comparison (99), ADHD-only (122), autistic-only (130) and autistic-plus-ADHD (141) groups, examining hyper-focus, inattention, hyper-vigilance, auditory hyper-reactivity and anxiety. Auditory hyper-reactivity was markedly elevated in both autistic and ADHD participants relative to comparison participants (.46 to .84 on Cliff's delta), and path analysis linked hyper-vigilance, hyper-focus and inattention to it in a potentially cyclic relationship with anxiety. It explicitly invokes monotropism as a framing and finds the attentional features it describes running across two conditions rather than marking one. Limitation: it did not administer the Monotropism Questionnaire, the sample was 72 to 78 per cent non-Hispanic White and largely self-selecting online, and psychoacoustic misophonia correlated only modestly with the self-report measures.

 

11. Grissom A, Finke E, Zane E (2024). Verbal fluency and autism: reframing current data through the lens of monotropism. Autism Research, 17(2), 324-337. DOI 10.1002/aur.3071. View the paper A review of 17 studies comparing verbal fluency performance between autistic and non-autistic participants, finding substantial variation within and between groups on word counts and category switching that authors had nonetheless consistently written up as autistic deficit. The authors reinterpret the same data through monotropism, which anticipates heterogeneous individual performance as a core feature rather than an anomaly, and offer the exercise as a model for neurodiversity-affirming reanalysis. It is the clearest demonstration that the theory earns its keep as a reframing device. Limitation: a narrative reinterpretation of existing published studies with no new data, no formal systematic review protocol and no direct test of whether monotropism predicts the pattern better than alternatives.

 

1. Murray D, Lesser M, Lawson W (2005). Attention, monotropism and the diagnostic criteria for autism. Autism, 9(2), 139-156. DOI 10.1177/1362361305051398. View the paper The founding statement of monotropism theory, written by three autistic thinkers, one of whom draws on her own experience. It argues that atypical strategies for the allocation of attention are central to autism, and that the first two diagnostic criteria can be derived from the restricted range of interests named in the third, drawing on the research literature, DSM-IV and ICD-10, and first-hand autistic accounts. It closes with implications for how professionals should approach assessment and support. Limitation: a theoretical and interpretive paper with no participants, no data and no test of any prediction, so it establishes a framework rather than evidence for one.

 

Lived experience

 

9. Edgar H (2024). Interpreting your Monotropism Questionnaire results. Autistic Realms (community resource, published 18 February 2024). View the source A widely shared community explainer by an autistic writer, setting out how to score the 47-item questionnaire and how to read the result against the groups in the development study. It is the origin of the figure that circulates as a threshold: anything above 3.3 means your score has slightly more monotropic traits than the average non-autistic person, and it explains that a score tells you what proportion of each reference population is less monotropic than you. It states clearly that autistic and ADHD respondents scored highest, then autistic-only, then ADHD-only, then non-autistic and non-ADHD. Limitation: a community interpretation rather than a psychometric source, offering a reference point and not a validated cut-off, and any banding built on 3.3 inherits that status.

 

2. Rapaport H, Clapham H, Adams J, Lawson W, Porayska-Pomsta K, Pellicano E (2024). 'In a state of flow': a qualitative examination of autistic adults' phenomenological experiences of task immersion. Autism in Adulthood, 6(3), 362-373. DOI 10.1089/aut.2023.0032. View the source Semi-structured interviews with 24 autistic adults about deep task engagement, analysed in relation to flow theory and hyperfocus. Participants described task immersion as all-encompassing and struggled to find the balance between that absorption and daily responsibilities, but valued it because in it they felt they could be themselves with no pretences. It is the closest thing in the peer-reviewed literature to a first-person account of what a monotropic attention tunnel feels like from inside. Limitation: 24 self-selecting interviewees who could take part in a verbal interview, with no quantitative measure and no comparison group, so nothing here generalises to prevalence or to autistic people with higher support needs.

 

3. Rapaport H, Clapham H, Adams J, Lawson W, Porayska-Pomsta K, Pellicano E (2024). 'I live in extremes': a qualitative investigation of autistic adults' experiences of inertial rest and motion. Autism, 28(5), 1305-1315. DOI 10.1177/13623613231198916. View the source Interviews with 24 autistic adults about autistic inertia, meaning difficulty initiating and difficulty ceasing activity. Participants described inertia as the single most disabling part of being autistic while also recognising positive dimensions, including the satisfaction of being fully absorbed, so the same mechanism was reported as both limiting and enabling. This is the switching cost that monotropism predicts, described by the people paying it. Limitation: a small qualitative sample recruited through autistic community networks, with no measurement of inertia and no link drawn to any questionnaire score, so it illustrates the construct rather than validating it.

 

Emerging or contested

 

8. Brosnan M, Camilleri LJ (2025). Neuro-affirmative support for autism, the Double Empathy Problem and monotropism. Frontiers in Psychiatry, 16, 1538875. DOI 10.3389/fpsyt.2025.1538875. View the paper A perspective article arguing for neuro-affirmative autism support built on the Double Empathy Problem and on monotropism, and proposing a digital social-narrative tool through which autistic people set and achieve their own goals. It characterises monotropic attention as involving hyper-focus and intrinsically rewarding flow states, drawing on Murray and colleagues. Its own stated limitation is a lack of empirical support currently exploring whether the Double Empathy Problem or monotropism are supported by the approach it recommends. Limitation: a perspective piece with no participants, no sample and no quantitative test of monotropism, included here because it shows sympathetic authors conceding the evidence gap rather than because it fills it.

 

7. Dwyer P, Dakakni M, Faris L, Unwin K (2025). Monotropism, hyperfocus, or autotelic personality? Attention styles and autism. PsyArXiv preprint. DOI 10.31234/osf.io/myufx_v2. View the paper A survey of 111 autistic and 39 non-autistic adults completing measures of monotropism, autotelic personality, hyperfocus and ADHD inattention traits, testing whether these overlapping concepts describe one thing. Autistic participants scored higher on monotropism, hyperfocus and inattention, and higher on some autotelic subscales (enjoyment of boredom, curiosity before correction) but lower on attentional control. Principal components analysis produced two dimensions rather than one: an intense, enjoyable focus associated with sensory sensitivity and anxiety, and an inattention dimension associated with anxiety directly. Limitation: an unrefereed preprint with a modest and unbalanced sample, cross-sectional self-report throughout, and a components analysis that describes structure in this dataset without confirming it in another.

 

4. Garau V, Murray AL, Woods R, Chown N, Hallett S, Murray F, Wood R, Fletcher-Watson S (2023). Development and validation of a novel self-report measure of monotropism in autistic and non-autistic people: the Monotropism Questionnaire. OSF Preprints (Open Science Framework). DOI 10.31219/osf.io/ft73y. View the paper The development and validation study for the MQ, with items generated and reviewed by an autistic-led community group of academics and lay members. 1,110 adults aged 16 to 78 completed 47 items on a five-point scale (1 = strongly disagree to 5 = strongly agree) plus a not-applicable option, scores averaged to a one-to-five metric; 756 autistic participants averaged 4.15 (SD 0.347) against 3.19 (SD 0.578) for 354 non-autistic participants, p < .001, with omega total .96 and omega hierarchical .81, an eight-factor solution on a 41-item version, and correlations of rs = .78 with the RAADS-14 and rs = .71 with the AQ-10; ADHD predicted a 0.56-point increase and autistic participants with ADHD scored highest at 4.21. The authors report that the sample was predominantly White and highly educated and that test-retest reliability was not assessed. Limitation: this remains an unrefereed preprint, searches of PubMed and Crossref found no peer-reviewed journal version as of August 2026, and there is one sample, no independent replication, no test-retest data, no norms and no cut-off.

 

Further reading — general background

 

Woods R (2024). List of potential Monotropism Questionnaire (MQ) research topics. OSF Preprints (Open Science Framework). DOI 10.31219/osf.io/c643d. View the paper A crowdsourced list of open research questions about the Monotropism Questionnaire compiled by one of its co-developers and circulated through autistic community networks for contributions. Included as further reading because it is an unusually candid public record of how much about the instrument remains untested, written by the people who built it. Limitation: an agenda-setting document rather than a study, with no data, no methods and no findings, so it indicates where the gaps are without closing any of them.

 

Peer-reviewed = checked by independent experts before publication. Clinical model = an established professional framework, not a single study.

 

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Module 8 - EDA-QA — Demand Avoidance and PDA Traits

 

All modules in Autistic Self-Discovery

 

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