The Evaluating Self

50Dispositional Differences in Cognitive Motivation

John T. Cacioppo, Richard E. Petty, Jeffrey A. Feinstein and W. Blair G. Jarvis, "Dispositional Differences in Cognitive Motivation: The Life and Times of Individuals Varying in Need for Cognition", Psychological Bulletin 119(2), pp. 197–253, 1996

Need for cognition — a review of a hundred studies The term,redefined The scale Not anability Engaging Enjoying 1955: a need forcognitive clarity.1982: engaging inand enjoying effort. 45 items, faculty vsassembly workers;cut to 34, then 18;one factor, alpha .90. r = .24 with verbalIQ, -.03 with abstractreasoning; predictsrecall beyond it. More recall, moreelaboration, lesspull from cues,sturdier attitudes. Likes the hardertask; seeks news;will not loaf on athinking job. Cognitive motivation had been studied as a feature of situations. The review scales it as a trait as well. The difference is largest where the situation itself neither compels thought nor forbids it.
Figure 50.0 — The review's order: a name taken over and redefined, a scale, a separation from intelligence, then the behavioural evidence for the two halves of the definition.

Psychology in the 1990s carried two accounts of the ordinary thinker side by side. One held that people search for information and solve problems effortfully as they steer through the world. The other held that most judgment runs off automatic processes and cursory attention to whatever is in front of them. Research had largely treated the switch between the two as a property of the situation: raise the personal stakes and people think, lower them and they coast. Cacioppo, Petty, Feinstein and Jarvis review more than a hundred empirical studies to argue that a second source of variance sits alongside the situation and is stable in the person. Some people act as cognitive misers in circumstances that make almost everyone else think hard; others think hard where almost everyone else is lulled into repose. The review traces the term from its origin in the 1950s to the redefinition Cacioppo and Petty gave it in 1982, sets out the scale and the evidence that it measures one thing, separates the disposition from intelligence, and assembles what high and low scorers do differently when they attend, remember, elaborate, are persuaded and resist persuasion. The picture that comes out is consistent, and in the size of its differences, modest.

The term and what it came to mean

The name is older than the construct. Cohen, Stotland and Wolfe introduced need for cognition in 1955 as "a need to understand and make reasonable the experiential world", and argued that a stronger need leads a person to see a situation as ambiguous even when it is relatively structured, because the standard for cognitive clarity is higher. That is an outcome: what the person wants is a world without loose ends, and the tension relieved is the tension of not knowing. The study that first supported it, in 1959, expected the high scorer to reach an ordered picture of the world by using heuristics and taking the advice of experts. Cohen's group never published their scale, and by the time Cacioppo and Petty came to the problem in 1982 no copies of it survived.

Cacioppo and Petty kept the term out of deference to that earlier work and changed what it referred to. Need for cognition in their hands is a stable tendency to engage in and enjoy effortful cognitive activity: a process rather than an outcome, what a person does with a problem rather than the state of the world they want at the end of it. The continuum is bipolar and single, low need for cognition being defined as the relative absence of the motivation that defines high need for cognition, as cold is the relative absence of heat. It is not a need in the drive-reduction sense at all; the authors call it a stable though not invariant intrinsic motivation, one that can be developed or lost. Taylor's cognitive miser gives them one end of the scale and the chronic cognizer the other. The image the paper uses is magnetic: information in daily life as fields of iron filings, people as magnets, and need for cognition as the strength of the field.

One name, two constructs Cohen, Stotland and Wolfe, 1955 a need for cognitive clarity wants the world to make sense an outcome: no loose ends left gets there by leaning on experts and on heuristics scale never published; no copies by 1982 Cacioppo and Petty, 1982 a tendency to think hard and like it engages in and enjoys mental effort a process: what is done with a problem one bipolar scale, low being the plain absence of high, as cold is of heat the term kept in deference to the earlier work The change of referent reverses a sign. On the review's own tables the high scorer scores lower, not higher, on need for structure, need for closure, preference for order and predictability, and closed-mindedness.
Figure 50.1 — The same name attached to two different things, and the sign reversal that follows from the change.

The redefinition reverses a sign. Where Cohen's high scorer wanted structure and would take an expert's word to get it, the review's high scorer is the one who scores lower on need for structure, need for closure, preference for order, preference for predictability, closed-mindedness and causal uncertainty. The two constructs share a name and little else, and the closest modern relatives of Cohen's are the tolerance-of-ambiguity and need-for-closure scales, which sit on the opposite side of the correlation table.

Scaling the difference

The scale was built from known groups. Cacioppo and Petty wrote 45 items about reactions to demands for effortful thinking across a range of settings, deliberately excluding reverie, daydreaming, religious experience and artistic rumination, which are cognitive without being effortful. They gave the pool to members of a university faculty as the high group and to assembly-line workers as the low group, on a nine-point scale, anonymously and embedded among other items, because face-valid items invite people to answer as they would like to be. Screening for ambiguity, irrelevance and internal consistency left 34 items, and a principal-components analysis with a scree test found one dominant factor, taking 30.1 per cent of the variance against 6.8 and 5.4 for the next two. A cross-validation on 419 undergraduates gave a narrower range of scores and a smaller first factor, 20.0 per cent, but the item loadings on that factor correlated .76 across the two studies. Neither study found a difference between men and women, and none of the many studies since has found one either.

Two years later Cacioppo, Petty and Kao found that Cronbach's alpha stopped rising once the 18 highest-loading items were in. The short form correlates .95 with the long one, has an alpha of .90, and yields a first factor accounting for 37 per cent of the variance, a cleaner single-factor solution than the scale it was cut from. Those 18 items are what most of the literature uses, half of them reverse-scored: one asks whether the respondent would prefer complex problems to simple ones, another whether thinking is their idea of fun.

Making the Need for Cognition Scale 45 itemswritten 34 items1982 18 items1984 screened on three criteria the 18 highest loadings given to faculty as the high group and to assembly-line workers one dominant factor, 30.1% of the variance; loadings replicate at .76 r = .95 with the long form, alpha .90, and a first factor of 37% Three subscales were proposed in 1988 from the 45-item pool. Across the proposers' own two samples their loadings correlated -.01, .70 and .28, against .76 for the single factor. No multifactor solution has held.
Figure 50.2 — How the scale was made and what each stage yielded.

Replications carry the structure outside the undergraduate pool. Perri and Wolfgang mailed 16 of the items to a random sample of patients of four physicians; the 94 who returned them produced one dominant factor at 38.8 per cent and an alpha of .88. Pieters, Verplanken and Modde translated the short form into Dutch and found a dominant first factor twice. Alphas at or above .85 are the norm. The one serious challenge has not held. Tanaka, Panter and Winborne proposed three subscales, cognitive persistence, confidence and complexity, from the original 45-item pool answered true or false; across their own two samples the loadings on those factors correlated −.01, .70 and .28, against .76 for the single factor in the original studies, and no subscale has been shown to predict anything the total score does not.

A motivation, not an ability

The claim that most needed defending is that this is a difference in wanting, not in being able. Intelligence and need for cognition should covary, since people who are good at thinking collect more competence feedback for doing it, and they do: the review's pooled correlations are .24 with verbal intelligence, .26 with college entrance scores, .26 with high-school grades and .17 with college grades. None of these is large, and with abstract reasoning ability the correlation is −.03. The functional test matters more than the statistical one. When students read a persuasive message, need for cognition predicted how many of its arguments they could recall even after the variance explained by measured intelligence had been removed. The analogy the authors offer is the motivation to take physical exercise, which is related to physical ability and is not the same thing.

Where the disposition sits among other traits is mapped by correlations with something close to a hundred scales. It goes with attributional complexity (.36 to .51), with basing beliefs on evidence (.47), with curiosity (about .57 across scales), and most strongly with openness to ideas (.78), less with openness to actions, feelings and values, and not at all with openness to fantasy. It runs against dogmatism (−.23 to −.24), attention to social comparison cues (−.41), and the whole family of structure-seeking measures. It is unrelated to sociability, extraversion, shyness, loneliness and trait anger, so the high scorer is not the cold one; high scorers in fact score lower on alexithymia, reporting less difficulty in identifying and communicating what they feel. What the disposition does go with, besides thinking, is agency: private rather than public self-consciousness, self-esteem (.38), desire for control (.48), and lower neuroticism and social anxiety. Education correlates .25 and age about −.17, and whether education raises the disposition or the disposition selects people into education cannot be told apart from the data available.

Engagement in effortful cognitive endeavors

Everything after this rests on whether an eighteen-question form predicts behaviour, and the first test was recall. Cacioppo, Petty and Morris gave students an editorial containing six strong or six weak arguments for requiring seniors to pass a comprehensive examination, then five minutes to list the arguments. High scorers produced about two thirds of them and low scorers about half, whatever the quality of the arguments. Twenty-two further tests followed, on trial evidence, faces, brand names, events in a video, traits about the self and behaviours ascribed to strangers, and the pooled difference is d = .355. It disappears where the material is irrelevant to the task at hand, and grows where the material is task-relevant and inconsistent with what the person expected, which is the case that takes work to resolve.

The second test was sensitivity to argument quality. Students high and low in need for cognition read four strong or four weak arguments for raising their own tuition; the high scorers' attitudes moved with the quality of the arguments and the low scorers' moved less. Eleven tests of that interaction pool to d = .312, and across the five studies that asked participants to rate the message directly, the ratings of high scorers tracked the manipulated quality far better (d = .539). Low scorers are not incapable of scrutiny; they need a reason to bother. They examined the arguments when the source was untrustworthy and not when he was trustworthy, and examined them when the arguments arrived framed in a way they had not expected and not otherwise. The attitudes of high scorers tracked argument quality in every condition.

What the difference amounts to knowledge of trivia recall of a target's behaviour reported motivation to think ratings of message quality information seeking recall of information attitude tracks argument quality task-relevant thoughts .734 .676 .546 .539 .457 .355 .312 .205 0 0.2 0.4 0.6 0.8 difference in standard deviations Every difference favours the high scorer. The review reports them as reliable rather than as large.
Figure 50.3 — The review's pooled differences between high and low scorers, in standard deviations, from its Tables 3 and 5.

What moves the low scorer instead is the cue. Participants heard a speaker announce that he would give either ten reasons or two, and then give six either way; only the low scorers agreed more with the speaker who had claimed ten. Only low scorers were swayed by how warmly the audience was said to have applauded, and then only when the topic had little personal relevance; when it mattered to them, the cue moved nobody. This is the ground the elaboration likelihood model occupies, and the model also explains where the interaction fails to appear. A variable such as the source's credibility, or the listener's mood, can work as a simple cue when nobody is thinking and as a bias on thinking when everybody is; it then shifts both groups' attitudes for different reasons, and no interaction with need for cognition shows up at all.

Two ways to arrive at an attitude a persuasive message high scorers weigh the arguments attitude follows argument quality more of the message is recalled thoughts predict the attitude, .39 and -.58 the attitude then persists, resists attack and predicts behaviour low scorers read the cues the speaker claims ten reasons, gives six the audience is said to have applauded recalled argument count predicts attitude they scrutinise on a special incentive: an untrusted source, an unexpected framing Neither route is the accurate one. Mood, a prime and the first of two opposed messages bias the judgments of high scorers more, though high scorers also correct more once the biasing factor is made obvious.
Figure 50.4 — The two ways to an attitude, and what each group needs before it will take the other one.

Thought-listing gives the same answer in a subtler form. High scorers list somewhat more task-relevant thoughts (d = .205), but the difference the authors find more telling is in the profile rather than the count: the balance of favourable and unfavourable thoughts of a high scorer follows the quality of what has just been read, and that of a low scorer does not. The judgments then follow the thoughts. In one advertising study, high scorers' attitudes correlated .39 with the favourable thoughts they listed and −.58 with the unfavourable ones, while low scorers' attitudes correlated with neither; for a low scorer the better predictor is the sheer number of arguments recalled. Downstream, high scorers list more about presidential candidates, do better on a test of trivia (d = .734), and are aware that they know more; they perform better at mental arithmetic, anagrams and coursework, with the gap widest where mastering the course requires thought. Their attitudes persist longer, resist counterattitudinal attack better, and predict behaviour better, which is what the elaboration likelihood model says an attitude built out of thinking should do.

The review is careful not to let this become a story about accuracy. Thinking more is not thinking impartially. A positive mood made high scorers' thoughts about a foster-care proposal more favourable and their attitudes followed their thoughts, while the same mood shifted low scorers' attitudes directly, without passing through anything they thought. When the message was recast as the costs of not complying rather than the benefits of complying, mood reversed its effect on high scorers and left low scorers untouched. Priming the concept of winning or losing changed how much high scorers bet on a roulette wheel and left low scorers' bets alone. Where the high scorers differ is at the next step: once a biasing factor is made obvious they are the ones who spend the effort to correct for it, discounting a dispositional attribution in the light of the situation. A correction is not the same as an accurate judgment, the authors add, since nobody knows the true size of the influence being adjusted for.

Enjoyment, and where the difference disappears

Half the definition is enjoyment, and the cleanest demonstration of it is the dullest task in the review. Cacioppo and Petty gave participants tables of 3,500 random digits and ten minutes, and told half of them to circle every 1, 5 and 7, and the other half to circle every 3, any 6 that came before a 7, and every other 4. High scorers reacted more positively to the complex version and low scorers to the simple one. Neither group enjoys tasks more in general; they enjoy different tasks. Pooled across studies, high scorers report less annoyance, frustration and tension at demanding tasks (d = −.447) and more enjoyment of them (d = .306), and the studies that break the pattern are the ones whose tasks were too easy to test anything.

Two experiments treat the disposition as an intrinsic motivation and test it as one. Participants brainstormed with or without an extrinsic reward and were then left alone with extra brainstorming puzzles. The high scorers played with the puzzles more when they had not been paid and the low scorers more when they had, so that the undermining effect of reward appeared only in the group for whom the activity was intrinsically rewarding to begin with. In the second, people brainstormed either alone or as part of a group sharing responsibility for the result. Low scorers produced fewer ideas in the group, the familiar social loafing; high scorers produced as many either way. When the task was screwing and unscrewing nuts and bolts, both groups loafed. High scorers also seek out more information (d = .457) and, in a sample of 233 residents of one Florida city, read newspapers and magazines for news and watched less television.

Where the disposition shows high need for cognition low need for cognition widest here cognitive effort low high situational demand to think Eight weeks before an election the high scorers reported more thinking about it; on the day, both alike.
Figure 50.5 — The review's own summary of when the disposition shows and when it does not. Schematic; the axes carry no numbers in the original.

The review's summary figure is an admission of limits. The difference between high and low scorers is largest when the situation's demand for thought is neither very low nor very high, because at the bottom nobody thinks and at the top everybody does. Eight weeks before a presidential election, high scorers reported thinking about it more than low scorers; by election day the two groups reported the same. Where a task was made personally relevant, low scorers reported slightly more effort than high scorers, which the authors read as unfamiliarity rather than diligence: effort feels heavier to someone who does not often exert it. There are also conditions in which a high scorer should think less rather than more, because the thinking is already done — they answered questions about a message's unstated implications faster than low scorers, and judged whether a trait described them faster while judging whether the same word was a noun no faster at all.

Two questions are left open at the end. The first is where the disposition belongs in the taxonomy of personality. The authors place it under the fifth factor, openness or intellect, note that its agentic side points at conscientiousness as well, decline to choose, and observe that the five-factor account describes how trait words covary rather than what causes anything. The second is where the disposition comes from. The theory says it should grow out of competence feedback, so that children who find they can settle their problems by reasoning rather than by force come to enjoy reasoning, and that it can be worn away by surveillance, time pressure and payment that turns the thinker into a pawn. Neither claim has been tested. The review names what nobody has looked at — the metacognition of high and low scorers, the development of the disposition in childhood, any genetic contribution beyond the one running through intelligence, samples in which age and education are not confounded — and closes on the line that gives the construct its character: high scorers "view cognitive effort not as toil but as a way of life".

Since 1996

The eighteen-item scale outlived nearly everything else in the review. It has been translated many times over, cut down to six items for survey work, and used across education, health communication, consumer research, political science and law, while the review itself became one of the most heavily cited papers its journal has published. The single-factor structure has held. So has the separation from intelligence, confirmed since with better ability measures than the college entrance scores the review had to lean on. The question the authors left open about the five-factor model was answered roughly as they guessed it would be: openness, or intellect, is the largest correlate, with a smaller but real relation to conscientiousness.

Two parts have travelled less well. The first is the evidence on bias. Several of the demonstrations that high scorers are the more susceptible to primes belong to the social-priming literature of the 1980s and 1990s, much of which failed to replicate when it was retested after 2011, and the conclusion that thinking harder carries a subtle influence further into judgment rests on studies that would now have to be done again. The second is the architecture behind the persuasion results. The elaboration likelihood model's separation of a central from a peripheral route was challenged within three years by single-process accounts arguing that cues and arguments are both evidence and differ mainly in length and complexity, and the dual-process assumption the review treats as settled is now one position among several.

What has lasted is smaller and sturdier than either. The disposition is measurable, stable, largely independent of ability, and predicts, in differences of about a fifth to a third of a standard deviation, who will weigh the argument and who will read the room. The question the authors raised in their last pages, of how a person comes to enjoy thinking and what makes them stop, is still the least answered thing about it thirty years on.

Claims drawn from this chapter · 8

Enjoying hard thinking is about wanting to, not being clever

People differ in how much they want to think hard, and that is separate from how clever they are. The measure correlates .24 with verbal intelligence and -.03 with abstract reasoning ability.

Becausepooled correlations are .24 with verbal intelligence, .26 with entrance scores and −.03 with abstract reasoning ability, and the disposition predicted recall of a message's arguments after the variance explained by measured intelligence was removed
LimitsThe separation leaned on college entrance scores as the ability measure; it has since been confirmed with better instruments. Education correlates .25 and the direction of that relation cannot be told from the data available.
PracticeWhere someone is not scrutinising an answer, ask what would make it worth their while rather than whether they can.
After AIA tool that removes the effort from producing an answer removes the occasion on which the disposition used to show itself, which makes it a question about who still chooses the harder path when nothing forces it.

Enjoying hard thinking is one trait, not several separate ones

How much someone enjoys hard thinking (need for cognition) is a single trait rather than a bundle of them. The eighteen-item questionnaire measures one thing, and the one serious attempt to split it into three failed.

Becausethe short form has α = .90, correlates .95 with the long one and takes 37% of the variance on its first factor, replicated in physicians' patients (38.8%, α = .88) and in Dutch translation, while Tanaka's three proposed subscales loaded at −.01, .70 and .28 across samples against .76 for the single factor
LimitsFactor structure is evidence about a questionnaire, not about a mechanism. Items are face-valid enough that the original authors had to embed them among others and administer them anonymously.
PracticeTreat willingness to think as one trait you can measure in eighteen questions, and stop looking for separate capacities behind it.
After AIThe single factor has held for thirty years, which makes this the most durable part of a review whose persuasion architecture and bias findings have not held.

Liking to think only shows when the situation is moderately demanding

The difference between people who enjoy thinking and people who do not (need for cognition) shows up only when a situation makes middling demands. When nothing is at stake nobody thinks hard; when everything is, everybody does.

Becauseeight weeks before a presidential election high scorers reported thinking about it more than low scorers, and by election day the two groups reported the same
LimitsThe review's summary figure carries no numbers in the original and is schematic; the election study is self-report about how much people thought.
PracticeDomain audit — raise the demand of the task rather than selecting for the trait; the differences you are trying to manage disappear where the stakes are plain.
After AIRoutine assisted work sits in the low-demand region where nobody scrutinises, and it is dressed up as high-stakes work, which is the combination that hides the failure.

People who avoid hard thinking will do it given a reason

People who score low on liking effortful thought are not unable to examine an argument. They examined it when the speaker was untrustworthy or the framing was unexpected, and not otherwise.

Becausethey examined the arguments when the source was untrustworthy and not when he was trustworthy, and when the framing was unexpected and not otherwise, while high scorers' attitudes tracked argument quality in every condition
LimitsThe manipulations are laboratory persuasion studies on undergraduates with low personal stakes; whether the same levers work on professional judgment under deadline was not tested.
PracticeCognitive forcing — manufacture the reason: make the source untrustworthy by default, or put the answer in an unexpected frame, rather than exhorting people to think harder.
After AIAn assistant is the trustworthy-source condition by default — fluent, unhesitating, apparently disinterested — which is the condition in which low scorers did not look.

People who enjoy hard thinking lose that enjoyment when they are paid

Liking hard thinking (what Cacioppo and Petty call need for cognition) works like enjoyment of the activity itself. Paying people for it reduces it in exactly the people who had it: after paid brainstorming, high scorers played with the extra puzzles less.

Becauseafter brainstorming with or without pay, high scorers played with the extra puzzles more when unpaid and low scorers more when paid, and low scorers loafed in a shared-responsibility group while high scorers did not — though both loafed at screwing nuts onto bolts
LimitsTwo experiments, with brainstorming as the task and undergraduates as the sample. The theory that the disposition grows out of competence feedback and is worn away by surveillance and time pressure has never been tested.
PracticeDo not pay, measure or deadline the part of the work you want people to find interesting; the undermining effect lands on the people who were enjoying it.
After AIThroughput metrics on assisted work are exactly the extrinsic reward the result warns about, and they fall on the people whose willingness to think was the thing being relied on.

People who enjoy thinking behave differently but only a little

People who score high on enjoying hard thinking do behave differently from people who score low, but the differences are small: about a fifth to a third of a standard deviation.

Becauserecall of task-relevant material pools to d = .355 across twenty-two tests, task-relevant thoughts listed to d = .205, information seeking to d = .457, annoyance at demanding tasks to d = −.447 and enjoyment to d = .306
LimitsEricsson Peak is the counterweight: what predicts performance is structured practice, not disposition, and a trait explaining this little leaves most of the variance elsewhere.
PracticeUse the measure to predict tendencies in a group, not to sort individuals; a third of a standard deviation will not tell you about the person in front of you.
After AISmall stable differences in who bothers to check become larger in consequence when checking is the only thing left that the person is doing.

People who enjoy thinking correct a bias once it is pointed out

People who score high on need for cognition (they enjoy effortful thinking) are not more impartial. Mood, framing and priming move their judgments too. What they do differently is adjust for an influence once it has been named.

Becausemood, framing and priming shifted high scorers' thoughts with their attitudes following, while the same manipulations moved low scorers directly or not at all — and several of these demonstrations belong to the 1980s–1990s social-priming literature that largely failed to replicate after 2011
LimitsThe review's own caveat is the load-bearing one: a correction is not an accurate judgment, since nobody knows the true size of the influence being adjusted for. And the priming evidence would now have to be redone.
PracticeCognitive forcing — name the likely bias out loud before the judgment rather than after; correction only arrives once the influence is visible.
After AIThinking more about model output is not thinking more impartially about it; what helps is being told in advance where this particular system goes wrong.

People who enjoy thinking follow the argument, others follow the surface cue

People high in need for cognition (those who enjoy effortful thinking) change their minds according to how good the argument is. People low in it go by the cue instead: who is speaking, how many reasons are promised, how confident it sounds.

Becauseeleven tests of the interaction pool to d = .312, and to d = .539 across five studies where participants rated message quality directly; only low scorers were moved by a speaker's claim to be giving ten reasons rather than two, and only when the topic was not personally relevant
LimitsThe architecture behind the result — the elaboration likelihood model's split between a central and a peripheral route — was challenged within three years by single-process accounts and is now one position among several.
PracticeCognitive forcing — in a review, separate the cue from the argument explicitly: who produced it, how confident it sounds, how long it is, then the case itself.
After AIModel output supplies cues in quantity: length, structure, hedging, a confident register. The disposition predicts who reads past them, and the cues have never been cheaper to manufacture.

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