Ambiguity Intolerance Considerations when Designing Health and Risk Messages
Summary and Keywords
The concept of ambiguity tolerance (TA), variously called Uncertainty Avoidance, Ambiguity Avoidance, or Intolerance, can be traced back nearly 70 years. It has been investigated by many different types of researchers from clinical and differential, to neuro- and work psychologists. Each sub-discipline has tended to focus on how their variable relates to beliefs and behaviors in their area of expertise, from religious beliefs to reactions to novel products and situations.
The basic concept is that people may be understood on a dimension that refers to their discomfort with, and hence attempts to avoid, ambiguity or uncertainty in many aspects of their lives. There have been many attempts to devise robust and valid measures of this dimension, most of which are highly inter-correlated and require self-reporting. There remains a debate as to whether it is useful having just one or more dimensions/facets of the concept.
Using these tests, there have been many correlational studies that have sought to validate the measure by looking at how those high and low on this dimension react to different situations. There have also been some, but many fewer, experimental studies, which have tested very specific hypotheses about how TA is related to information processing and reactions to specific stimuli. There is now a welcomed interest by neuroscientists to explore the concept from their perspective and using their methodologies.
These studies have been piecemeal, though most have supported the tested hypotheses. There has been less theoretical development, however, of the concept attempting to explain how these beliefs arise, what sustains them, and how, why, and when they may change. However, the concept has continued to interest researchers from many backgrounds, which attests to its applicability, fecundity, and novelty.
This chapter reviews the disparate and cross-disciplinary literature concerned with the discomfort with, and hence attempts to avoid, uncertainty or ambiguity. Within psychology, it has been examined by cognitive, differential, and experimental psychologists. The idea has also been explored by psychoanalysts and cross-cultural psychologists. Whilst the concept has generated a number of personality test and intelligence test type measures, it has not shown as much conceptual development or integration into any other area of research. To some, therefore, it is a sort of “back-water,” while to others it remains an important, central construct and measure with considerable application.
The concept of tolerance of ambiguity (TA) was developed by Frenkel-Brunswick (1948). It has attracted much research over the last 60 years (Merrotsky, 2013). An early paper that related TA to authoritarianism has since been cited nearly 10,000 times (Adorno, Frenkel-Brunswik, Levinson, & Sanford, 1950). There have not been many reviews of the concept, an exception being Liu (2015), who was particularly interested in the TA literature in the educational context. This contribution attempts to update reviews by Furnham (1994), Furnham and Ribchester (1995), and Furnham and Marks (2013) on the conceptions, correlates, and measurement of TA.
A quick review of the scattered literature indicates three things about the construct. First, that between five and 20 papers are published a year on the topic. A few are theoretical or methodological papers, but most are relatively small-scale empirical papers. Second, they are published in an astonishing range of journals with respect to discipline, country, and topic. Third, most studies use TA as an independent or correlational variable rather than a dependent variable. That is, few studies look at how it originates or operates; rather, most studies look at how it changes or influences other beliefs and behaviors.
Thus recent studies have looked at how TA is related to foreign language use (Atamanova & Bogomaz, 2014; Dewaele & Wei, 2013), creativity (Balgiu, 2014), responses to advertising (Banks & De Pelsmacker, 2014), information search (Money & Crotts, 2003), and ethnocentrism (Cargile & Bolkan, 2013).
Studies have been done particularly among those in the medical profession (Caulfield, Andolsek, Grbic, & Roskovensky, 2014; Cooke, Doust, & Steele, 2013; Lally & Cantillon, 2014). Some have related TA to very modern concepts like cyberchondria (Fergus, 2013), while others have asked if the TA of a manager is related to work success (Katsaros, Tsirikas, & Nicolaidis, 2014). Sometimes the TA concept has been applied in clinical (Laposa, Collimore, Hawley, & Rector, 2015), organizational (Ravindran & Iyer, 2014), or educational settings (Valutis, 2015; Xu & Tracey, 2014).
Tanaka et al. (2015) pointed out that whereas economists have been interested in ambiguity aversion (a preference for known risks relative to unknown risks), psychologists have been interested in TA. In a highly sophisticated psychometric and magnetic resonance imaging study they found the two concepts weakly related. However, what the study does illustrate is that different disciplines have come up with seemingly related concepts, which may or may not have similar underlying features and processes.
History of the Concept
Frenkel-Brunswick (1949) defined TA as an “emotional and perceptual personality variable” (This work was to influence many others like Eysenck (1954), who was very interested in social attitudes. Frenkel-Brunswick (1951) suggested TA was related to resistance to reversal of apparent fluctuating stimuli; the early selection and maintenance of one solution in a perceptually ambiguous situation; inability to allow for the possibility of good and bad traits in the same person; acceptance of attitude statements representing a rigid, black-and-white view of life; seeking for certainty; a rigid dichotomizing into fixed categories; premature closure; and remaining closed except to familiar characteristics of stimuli.
Frenkel-Brunswick (1949, 1951) argued that TA generalizes to the various aspects of emotional and cognitive functioning of the individual, characterizing cognitive style, belief and attitude systems, interpersonal and social functioning, and problem solving behavior.
Those who are intolerant of ambiguity are described as having a tendency to resort to black-and-white solutions and characterized by rapid and overconfident judgment, often at the neglect of reality (Frenkel-Brunswick, 1949). At the other end of the scale, ambiguous situations are perceived as desirable, challenging, and interesting, usually by individuals who score highly on an Openness to Experience scale (Caligiuri, Jacobs, & Farr, 2000) and show both sensation-seeking and risk-taking behavior (Lauriola, Levin, & Hart, 2007; McLain, 1993, 2009).
The TA concept is thus over 65 years old but seems unlikely to retire. The ideas behind the concept continue to attract researchers from many disciplines and many countries.
Attempts to develop self-report measures began over 50 years ago. Budner (1962) defined TA as “the tendency to perceive ambiguous situations as desirable” (p. 30). His was one of the first measures, and the paper has been cited over 1,000 times. Later McLain (1993) defined TA as “a range, from rejection to attraction, of reactions to stimuli perceived as unfamiliar, complex, dynamically uncertain, or subject to multiple conflicting interpretations” (p. 184).
It is still unclear whether TA is a stable trait, and if so how it fits into Big Five factor space. Personality psychologists interested in parsimonious taxonomization are eager to take all traits and plot them in factor space though this appears not to have been done for TA. However there still remains doubt as to whether TA is more of a cognitive style or even a defense mechanism rather than a stable personality trait. Thus, social psychologists, often opposed to differential psychology, like Durrheim and Foster (1997) argue that TA is a context-specific construct, not a stable trait. Others have also advocated the use of contextualized measures (Herman, Stevens, Bird, Mendenhall, & Oddou, 2010).
Those with low TA have an aversive reaction to ambiguous situations, which are perceived as a threat and source of discomfort. Reactions to the perceived threat are stress, avoidance, delay, suppression, or denial (Budner, 1962; Furnham & Ribchester, 1995; MacDonald, 1970; McLain, 1993).
Some studies have made their focus examining how TA influences the perception of situations and decision making (McLain, 2009, Yurtsever, 2001, 2008; Van Hook & Steele, 2002). Instead, it is thought that constructs that are defined by an absence of information (e.g., risk-taking behavior) are more relevant and are more useful validating TA measures.
According to Furnham and Marks (2013), the recent TA research literature has three different features: there has been work on similar concepts to TA; there has been an increase of experimental over correlational studies; and there has been more of an interest in the effects of TA in the work environment.
Conceptual and Definitional Issues
The concept of TA has also been described as Uncertainty Avoidance and Risk-Taking Propensity. Hofstede (1984) defined it as “the extent to which people feel threatened by ambiguous situations, and have created beliefs and institutions that try to avoid these” (p. 419).
There is also a clinical literature on Tolerance of Uncertainty (TU), which has been conceived of as a cognitive disposition that confers risk of Generalized Anxiety Disorder (GAD; Birrell, Meares, Wilkinson, & Freeston, 2011). Various self-report measures have been developed, which are often validated against measures of anxiety, depression, and worry (Carleton, Norton, & Asmundson, 2007). TU is associated with worries and negative expectations of the future and linked to anxiety disorders (Ladouceur et al., 2000).
TU can be measured using the Intolerance of Uncertainty Scale (Freeston et al., 1994), which is made up of 27 items. Dugas et al. (1997) reported a test-retest reliability of 0.78 over a five week period. The scale is used as a clinical tool in the diagnosis of GAD (Freeston et al., 1994). There are various studies on its psychometric properties (Buhr & Dugas, 2006; Fergus & Wu, 2013).
Green and Roger (2001) suggested a clear relationship between TA and TU: the former is used primarily in cognitive studies on decision-making, memory, and perception, “all of which are oriented towards cognitive processes rather than stress and emotion” (p. 521). They developed a three factor scale, but later Birrell et al. (2011) found evidence of two factors.
Furnham and Marks (2013) claim that the TA, TU, and uncertainty avoidance concepts have been used interchangeably (Stewart, Carland, Carland, Watson, & Sweo, 2003; McLain, 1993; Grenier, Barrette, & Ladouceur, 2005). Ellsberg (1961) defined ambiguity as a lack of information that is necessary to understand a situation or to identify all of the possible outcomes. Later Krohne (1989, 1993) concluded that whilst ambiguity is a property of the stimulus, uncertainty is the emotional state that is provoked by it. This is an interesting distinction that appears not to have been followed up.
Grenier et al. (2005) suggested that TA describes a trait that focuses on an individual’s reaction to an ambiguous situation in the present, while TU describes a future-orientated trait, where the individual is reacting to the uncertainty of the future. This partly explains why TA is used in the cognitive and experimental literature and TU in the clinical literature.
Risk-taking propensity is also similar to TA (Lauriola, Levin, & Hart, 2007; McLain, 2009). Ellsberg (1961) distinguished decisions under ambiguity from risky decision making in terms of knowledge of outcomes and probabilities: Behavioral decision scientists usually define ambiguous decision making as a situation in which there is an unknown distribution of outcome probabilities for at least one of the options, whereas the probabilities are known in risky decision-making, but outcomes are not.
Some more recent papers have attempted to “unpack” the concept. Thus Rosen, Ivanova, and Knäuper (2014) aimed to differentiate intolerance of uncertainty from three related but distinct constructs: intolerance of ambiguity, uncertainty orientation, and need for cognitive closure. The systematic review concluded that both intolerance of uncertainty and intolerance of ambiguity are similar in that they lead to cognitive, emotional, and behavioral consequences due to uncertainty, while the need for cognitive closure and uncertainty orientation are similar in the sense that they appear to have implications for motivation. Also, intolerance of uncertainty may be distinct from intolerance of ambiguity, as the latter construct focuses on the “here and now,” while the former emphasizes the apprehension of events occurring in the future (Grenier et al., 2005), although the lack of strong empirical support for this assertion is acknowledged. Finally they noted that intolerance of uncertainty may be discriminated from uncertainty orientation and the need for cognitive closure as the former focuses on the psychological effects of uncertainty and the latter two center on individuals’ desires to approach or avoid uncertainty.
Chumakova and Kornilov (2013) proposed that individual differences in attitudes towards uncertainty are ingrained in expectations concerning different sources and subjective evaluations of uncertainty. In their study, they revealed four distinct latent profiles that characterize attitudes towards uncertainty regarding expectations about different sources of uncertainty (personal relationships and environment) and subjective evaluations of uncertainty (negative and positive). The first profile is a general profile of a tolerant person, and the remaining three describe an intolerant person. The two latter profiles emphasize the importance of distinguishing expectations about different sources of uncertainty in understanding attitudes towards uncertainty.
• Appreciative/adaptive is characterized by an overall low desire for clarity across both sources of uncertainty. Individuals with this profile are effectively “tolerant”; they are less inclined to view uncertainty as threatening and more inclined to view it (and the corresponding complex novel situations) as a challenging opportunity for self-expression and development. They accept the existence of contradictions in the environment as fundamental and are prepared to deal with them. Similarly, they do not necessarily expect other people’s behavior to be wholly predictable.
• Fearing is the direct opposite of Appreciative. Effectively “intolerant,” individuals with this profile hold stronger expectations for both the environment and relationships to be clear, predictable, and simple. They find uncontrollable and unpredictable situations aversive, and when such situations arise, they tend to feel threatened. They are also more likely to exhibit lower-risk readiness and higher interpersonal intolerance for uncertainty.
• Coping is embodied by a strong desire for the environment to be simple and clear (similar to what is observed for Fearing) and by mild expectations of predictability and clarity in personal relationships. Individuals holding this profile view uncertainty as neither particularly attractive nor threatening. Interestingly, this profile is not related to risk readiness, suggesting situation-specific risk-taking in individuals with this profile. There is also no significant association between this profile and interpersonal intolerance for uncertainty, thus confirming the partial representational independence of different sources of uncertainty.
• Ambivalent is characterized by low expectations of simplicity from the environment, but a relatively high desire for predictability and clarity in personal relationships. Individuals with this profile tend to perceive uncertainty as both attractive and threatening. Indeed, their scores on these two factors are close to the scores of those holding the Appreciative and Fearing profiles. This profile is not associated with rationality defined as information-seeking, suggesting situation-specific use of coping strategies, rather than general. Further, this profile is significantly but differentially related to different types of intolerance for uncertainty, such that its relation with interpersonal intolerance for uncertainty is positive, while its relation with general intolerance for uncertainty is negative.
Further, gender differences were observed in these profiles: the Appreciative and Fearing were equally distributed among males and females, whereas Coping was more prevalent among men and Ambivalent among women. This means that gender may play a substantial role in the development of particular profiles of attitudes towards uncertainty.
More recently Lauriola, Foschi, Mosca, and Weller (2015) conducted two studies to examine the phenotypic structure of attitude toward ambiguity, in an effort to reconcile shifting conceptual definitions and the lack of empirical studies that adequately cover its content domain. Study 1 administered a battery of questionnaires regarding ambiguity tolerance/intolerance on a sample of 666 individuals from two countries. The hierarchical structure of 133 items from seven scales revealed three major factors: Discomfort with Ambiguity, Moral Absolutism/Splitting, and Need for Complexity and Novelty.
• Discomfort with Ambiguity describes unpleasant feelings associated with the experience of ambiguity in interpersonal relationships, social, or job situations. Thus, this dimension epitomizes intolerance of ambiguity as a more generalized “threat” reaction (Budner, 1962, p. 30), in addition to experienced social–interpersonal distress with ambiguity. In this regard, Discomfort with Ambiguity also bears a resemblance to one of the major second-order factors reported by Furnham (1994).
• Moral Absolutism/Splitting, akin to Furnham’s second-order factor, closely reflects some primary characteristics that originally defined intolerance of ambiguity, i.e., the “inability to allow for the coexistence of positive and negative features in the same object,” and the “acceptance of statements representing a rigid white-black view of life” (Budner, 1962, p. 394).
• Need for Complexity and Novelty reveals a more tolerant and approach-oriented attitude toward complex and novel situations. This dimension appears to be most similar to Budner’s (1962) conceptualization of ambiguity tolerance. In this study, Need for Complexity and Novelty is clearly composed of two lower order facets that closely resemble characteristics today ascribed to traits such as Need for Cognition and Openness to Experience. This interpretation was also corroborated by significant positive correlations between Need for Complexity and Novelty and both Openness and Extraversion, two Big Five traits that are predictive of active interest in a variety of experiences for its own sake (e.g., Markon et al., 2005). In view of this, Need for Complexity and Novelty also resembles a mixture of Furnham’s (1994) peripheral second-order factors (i.e., ambiguity acceptance, venture, and risk seeking).
Also using a sample of 771 individuals from two countries, study 2 ran a confirmatory analysis on selected factor markers, showing acceptable fit a bifactor model in each group, with Discomfort with Ambiguity, Moral Absolutism/Splitting, and Need for Complexity and Novelty belonging to the same general construct—a basic ambiguity avoiding attitude. The findings show that a general factor is necessary to model the multifaceted structure of the construct in a bifactor model. Consistent with research, the results suggest that ambiguity tolerance and intolerance have often given rise to independent factors rather than to a single bipolar factor (Bors et al., 2010; Hazen et al., 2012). Taken altogether, attitude toward ambiguity can be best conceptualized as a multidimensional construct involving affective (Discomfort with Ambiguity), cognitive (Moral Absolutism/Splitting), and epistemic (Need for Complexity and Novelty) components.
McLain, Kefallonitis, and Armani (2015), anticipating the new world of neuroscience, have noted the following:
Because ambiguity tolerance is an individual difference construct describing how individuals process, interpret, and react to information, it is worthwhile to examine it from a neurological perspective. The brain reacts to stimuli as informed by sensory mechanisms.
There have been various attempts to look at the concurrent, convergent, and discriminant validity of TA. Most of the work in this area remains correlational. An example is a recent study by Norr et al. (2013), who looked at the relationships between intolerance of uncertainty, anxiety sensitivity, distress tolerance, discomfort intolerance and social anxiety, and obsessive-compulsive and worry symptoms. Two nonclinical samples completed questionnaires regarding vulnerability factors and measures assessing anxiety symptoms. The results show that intolerance of uncertainty was significantly related with anxiety symptoms, even after controlling for transdiagnostic risk variables (i.e., negative affect and trait anxiety). Taken altogether, the established link between intolerance of uncertainty and anxiety symptoms support the notion that intolerance of uncertainty is better represented as a more general anxiety vulnerability, rather than a vulnerability for specific disorders.
Furnham and Marks (2013) set about an extensive search for all TA and TU papers published since 1995 and found 30 studies. They made four observations from this research effort:
First, they use a wide range of measures of TA, not all of which correlate very highly with each other. Second, many have modest population groups, though a number have populations over 200. Third, the number of variables correlated with measures of TA were extremely varied from art preference, though identity conflict to thinking style. There seemed no thematic or programmatic effort on any research group in this area. Correlations tended to be modest. Fourth, most studies had their hypotheses confirmed showing how TA was conceptually related to a variety of other measures and behaviors.
Lauriola and Levin (2001) showed that differences in attitude towards ambiguity are consistent with attitudes towards risk, in that a preference for the ambiguous predicts a preference for risky options. Yet the relationship only proved significant when participants were avoiding a loss in the Risky Decision-making Task as opposed to seeking a gain. It was concluded that attitudes towards ambiguity were more important in the decision-making procedure. Lauriola, Levin, and Hart (2007) repeated this experiment and found that the Ambiguity-Probability Tradeoff task negatively correlated with a TA self-report questionnaire and optimism scores, and positively correlated with regret-based decision style. A high score was also predictive of later ambiguous choices in a different domain. These findings support the existence of a stable dispositional trait underlying reactions to risk and ambiguity.
In an interesting and important paper, Endres, Camp, and Milner (2015) tried to assess the malleability of tolerance of ambiguity through the manipulation of situational ambiguity in the form of structured and unstructured interviews. In study 1, 324 students faced varied levels of ambiguity, and their pre- and post-experiment self-efficacy was examined. The results show that participants in the high ambiguity condition reported lowest change in self-efficacy, followed by moderate ambiguity condition, while participants in the highest ambiguity condition reported highest change in self-efficacy. Performance ratings also varied on a marginally significant level, with ratings for low and high ambiguity conditions being higher than the moderate ambiguity condition. In study 2, there was no manipulation involved; students completed questionnaires on tolerance of ambiguity and self-efficacy. As a whole, the results indicate that tolerance of ambiguity may be malleable, rather than stable. Less ambiguity was found to have led to higher tolerance of ambiguity than high ambiguity in a situation of less structure and information.
In a series of five studies, Sagioglou and Forstmann (2013) tried to determine whether activating Christian religious concepts increases intolerance of ambiguity and judgment certainty. According to the logic of contextual priming, being exposed to Christian religious content should make the associated norms accessible, e.g., the reliance on dichotomous moral categories such as right versus wrong (virtuous vs. sinful). The study proposed that the activation of this normative structure by Christian primes should increase ambiguity intolerance. In the first four studies, Christian concepts were semantically activated through priming: Participants in the religion priming condition were presented with five sets of religion-related words. In study 1, semantically activating Christian concepts increased self-reported ambiguity intolerance. The primed Christian concepts increased self-reported preference for a non-ambiguous visual stimulus, instead of ambiguous visual stimulus, as well as judgment certainty in an effort to reduce experienced ambiguity in study 3a and 3b. In study 4, the laboratory findings were extended to real-life environments. The results show that individuals exposed to a cathedral reported increased ambiguity intolerance, compared to those exposed to a civic square. Overall, the findings support the proposition that processing Christian religious stimuli causally influences a person’s reaction to ambiguous information, such that participants’ intolerance of ambiguity was increased when they think about religion. The pattern was consistent across differentially Christian cultures, suggesting that cognitive associations formed through culturally transmitted religious knowledge are strong enough to direct behavior, irrespective of practical experience.
In many ways it is paradoxical that a concept like TA, which is grounded in experimental work, has attracted so little work experimentally as either an independent or dependent variable.
The Measurement of TA
Table 1. Measures of the TA scales
Name of Scale
No. of Items
Herman, Stevens, Bird, Mendenhall, and Oddou, (2010)
The Tolerance of Ambiguity scale
Multiple Stimulus Types Ambiguity Tolerance Scale -II (MSTAT-II)
Buhr and Dugas (2006)
Intolerance of Ambiguity Scale
Lange and Houran (1999)
Rasch model AT-20
Durrheim and Foster (1997)
Attitudinal Ambiguity Tolerance Scale
Multiple Stimulus Types Ambiguity Tolerance Scale -I
16 Item scale
Table 2. Psychometric properties of scales
Herman, Stevens, Bird, Mendenhall, and Oddou, (2010)
α = 0.73
Budner scale factor analysis; removed 4 items with low correlations to the scale, added 5 items (cross-culturally relevant, compliment existing items by capturing the full content of TA; familiarity, conflicting perspectives, change and value incongruence. 5 more items removed. Factor analysis—4 factors
α = 0.83
3 factors; general AT was main factor. Correlates with MacDonald, not Budner. Correlates with sensation-seeking/risk orientation, non-significant for social desirability. Correlates with sensation-seeking, perceived risk, stress, perceived uncertainty. Not “time in a hazardous job”
Lange and Houran (1999)
KR -20 Item reliability = 0.93 and person reliability = 0.68
No new validity built on AT-20
Durrheim and Foster (1997)
α = 0.81, Test-retest (r=.66)
NO (Budner scale correlated for White group only)
Concurrent validity—Correlates with Ambivalence scale. Factor analysis—different domains of authority, performance on the scale was meaningfully linked to the content, e.g., content-specific. Distinguished between criterion groups (blacks vs whites). Criterion group validity—difference in AT towards items of the Subtle Racism scale. Correlated with Budner scale positively, negatively and orthogonally.
α = 0.86
Correlates with Budner, Storey and Aldag and MacDonald. Correlates with willingness to take risks, receptivity to change, negatively to dogmatism (not to cognitive complexity—poor reliability 0.58 scale).
(K-R 20) r = 0.88 Test-retest = 0.86, 10–12 weeks. Kuder-Richardson reliability r = 0.38
YES (Furnham, 1994)
Content validity—content analysis and faking studies. Criterion validity—correlates with dogmatism and rigidity. Construct—measures of willingness to volunteer for an ambiguous study, aesthetic judgement, content analysis of verbal behavior and behavioral dramatization
Split half reliability (KR 20) = 0.73. Internal consistency = 0.86.
Correlated with Rokeach’s dogmatism scale, the Gough-Sanford Rigidity scale and church attendance, not social desirability.
Retest correlation of 0.85 α = 0.49
Budner authoritarianism, attitudes toward parents, and machiavellianism. In addition to these relatively broad areas, a third concern was with the role of intolerance of ambiguity in a specific area of occupational choice, that of medical education
YES (Furnham, 1994)
A number of TA measures exist. Furnham and Marks (2013) found eight published self-report measures. However, there are other unpublished tests (Saunders, 1955) and those where little psychometric work was attempted to assess their validity (Eysenck, 1954). Some studies have even used inkblot tests (Leichsenring, Steuernagel, Steuernagel, & Meyer, 2007) to measure TA.
Most of the tests of TA are self-report questionnaires (Furnham & Marks, 2013). Budner (1962), who devised a 16-item test where items referred to one of three types of ambiguous situations: novelty, complexity, and insolubility. The scale was validated on 17 different populations and shown to be free of acquiescent and social desirability response tendencies. The test-retest correlation was good (0.85 over 2 months), yet the internal alpha was poor (0.49). The wording of items in this scale have been criticized for their failure to represent the appropriate stimulus, or even suggest ambiguity at all (McLain, 2009). Budner saw TA as a “non-specific” trait that does not lead to specific behaviors or evaluations that are not manifestations of TA itself.
Rydell and Rosen (1966) and Rydell (1966) reported on the development and validation of another scale, which consisted of 16 true-false items. The test was validated with the use of semantic differential ratings of contradictory and non-contradictory adjective-noun concept combinations (Rydell, 1966). MacDonald (1970) added four extra items to attempt to improve the psychometric quality of the scale called the AT-20.
Lange and Houran (1999) argued that an Item Response Theory (ITR) framework has more appropriate scaling properties and differentiates itself from the AT-20 from a scaling point of view. Results showed that the positive item-rest point biserial correlations provide evidence of the scale’s uni-dimensionality.
Norton (1975) argued that measures of TA were “flawed by low internal reliability and the absence of adequate validity evidence” (p. 607) because, paradoxically, of the ambiguities associated with the term ambiguous. He noted issues such as: multiple meanings; vagueness, incompleteness, fragmentation; as a probability; unstructured; lack of information; uncertainty; inconsistencies, contradictions, contraries, and unclearness. Norton developed a 50-item measure (MAT-50), which was tested seven times to develop high reliability. He set out to determine three types of validity: content validity (through content analysis and faking studies), criterion-related validity (through correlations with measures of dogmatism and rigidity), and construct validity (through measures of willingness to volunteer for an ambiguous study, aesthetic judgment, a content analysis of verbal behavior, and behavioral dramatization). Despite these efforts, the scale has not been widely used.
Lorsch and Morse (1974) developed a 7-item scale with the aim to test members of organizations on their TA. This scale has been modified a number of times in order to fit more appropriately with researchers’ needs (Acedo & Jones, 2007; Caligiuri & Tarique, 2012; Gurel, Altinay, & Daniele, 2010). Gupta and Govindarajan (1984) later reduced the number of items to four and reported modest internal reliability.
McLain (1993) developed a 22-item measure called the Multiple Stimulus Types Ambiguity Tolerance (MSTAT). McLain attempted to redefine TA as “a range, from rejection to attraction, of reactions to stimuli perceived as unfamiliar, complex, dynamically uncertain, or subject to multiple conflicting interpretations” (p. 184). In 2009, McLain refined the MSTAT scale, which is a 13-item scale derived from the original 22 items.
Durrheim and Foster (1997) conceived TA not as psychological trait but as a content specific construct. This is consistent with Frenkel-Brunswick’s (1949) original construct of TA as an “attitudinal variable,” which was not assumed to generalize across different social objects. They suggest that intercorrelations of TA measures are “spurious relationships between shared attitudinal scale content” (p. 741) and that the relationship is a methodological artefact.
They developed the Attitudinal Ambiguity Tolerance scale (AAT), which is based on the uni-polar scaling procedure that was originated by Kaplan (1972) and subsequently used by Scott and colleagues to assess ambivalence (Scott, 1966, 1969; Scott, Osgood, & Peterson, 1979). This scale measures evaluative performance and was found to have an adequate internal reliability (α = 0.81) and test-retest reliability (r = 0.66). A factor analysis revealed four factors, which suggests a multidimensional structure and supports the original hypothesis.
Although Durrheim and Foster’s (1997) criticisms of the TA concept seem valid, they have largely been ignored by contemporary research for three reasons: The focus of the TA concept has shifted away from prejudice and authoritarianism and moved towards reactions in response to insufficient information; the psychometric qualities of TA scales have increased; and empirical research supports a one-dimensional theoretical model.
Wolfradt and Rademacher (1999) developed and validated a scale for interpersonal TA. This scale was designed for use as a clinical tool. The scale is not widely used, however, despite good internal reliability (Cronbach’s alpha = 0.86; Wolfradt, Oubaid, Straube, Bischoff, & Mischo, 1999).
Herman et al. (2010) proposed a new measure of TA that aimed to better understand its link to cross-cultural phenomena and improved conceptual dimensionality and psychometric evidence. They reasoned that context-dependent measures should be developed in areas that may have problems with the generalized conception. They used Budner’s (1962) measure and added and removed items to improve the measure. Factor analysis distinguished four factors: valuing diverse others, change, challenging perspectives, and unfamiliarity. Valuing diverse others has not appeared in other recent conceptualizations (McLain, 1993, 2009), which the authors relate to the interpersonal nature of cross-cultural settings. This 12-item scale is a useful tool for measuring TA in cross-cultural contexts, and it may revolutionize the measurement of TA, starting a trend in the development of context-specific measures.
One of the latest scales to be developed is the Career Decision Ambiguity Scale, developed by Xu and Tracey (2015). The scale, which has three identifiable dimensions, was constructed to use in vocational psychology and has promising psychometric validation evidence.
The TA concept has gone through changes since its conception in 1948. The focus has now shifted to reflect the contemporary definition of ambiguity (Ellsberg, 1961) and is related to similar concepts that describe the absence of information, such as risk-taking behavior and tolerance of uncertainty. The research has covered a wide variety of fields, and new measures are being created for use in specific domains. Psychometrically sound measures (McLain, 1993, 2009; Herman et al., 2010) and literature reviews (e.g., Grenier et al., 2005) have helped to clarify the construct definition, which has been ironically described as “ambiguous” (McLain, 2009). The new measures are better equipped to test individual levels of TA and therefore increase the reliability of future research.
Still there appears to be no studies that have attempted to determine the heritability of TA, which would be a question that behavior geneticists and personality psychologists would be interested in. Nor have the tests been frequently subjected to structural equation modelling to determine both the facets or factors of TA, as well as its determinants.
The interest in TA seems to have shifted from differential to clinical and organizational psychology, disciplines that see it as a measure of adaptation and healthy functioning. However, there are still many researchers very interested in the topic. Thus, David McLain, in an introduction to a Frontiers in Psychology issue in 2015, wrote the following:
Individual variation in reaction to incomplete or difficult-to-interpret information is a factor in perceiving, understanding, interpreting, and performing in many situations. The focal trait is ambiguity tolerance but it is closely related to such widely-studied traits as risk-taking propensity, uncertainty orientation, need for certainty, need for closure, and other traits. Long of interest among researchers, interest in ambiguity tolerance continues to inspire new avenues of inquiry in both the basic and applied sciences. This collection of papers will describe current thinking.
Examples of topics:
1. Are reactions to stimuli that are unfamiliar, complex, uncertain, risky, incomplete, obscured, vague, conflicting, or otherwise ambiguous similar or different?
2. Where does neuronal activity take place when information is perceived as unfamiliar, complex, uncertain, risky, incomplete, obscured, vague, conflicting, or otherwise ambiguous? Does this activity vary in intensity, location, or other property as a function of ambiguity tolerance or other inherent orientation toward perceived situational information characteristics?
3. How are decision processes affected by perceived information quality. How do these perceptions influence speed or information processing among individuals who vary in ambiguity tolerance?
Measurement and Methodology
1. What is the current state-of-the-art regarding the measurement of traits and perceptions related to ambiguity, risk, uncertainty, or other information properties?
2. With advances in technology that can assess brain activity, reactions to ambiguous stimuli can be measured at the neurological level.
Implications for Practice
1. What is the current state of knowledge regarding individual differences in response to risk, uncertainty, information quality, or ambiguity and their influences on single or repeated decisions in specific domains. For example, what is our current understanding of the effect of uncertainty tolerance on career choice, job performance, or long-term career satisfaction?
2. To what extent does ambiguity tolerance, when encountering perceived ambiguity, influence the decisiveness, speed, or accuracy of decision making?
3. Does ambiguity tolerance impact interpretations of the ethical aspects of a situation?
4. What decision processes are effective when decisions are repeatedly based on ambiguous information? Do these vary with the individual’s tolerance for ambiguity?
5. What is the state of knowledge regarding perceived environmental uncertainty and its role in strategic planning?
6. Does ambiguity tolerance influence responses to ambiguous signals or incomplete information in safety-critical or crisis situations? For example, how does ambiguity tolerance influence triage in the delivery of emergency medical services? Does ambiguity tolerance influence the behavior of pilots undergoing flight emergency training.
7. How does ambiguity tolerance influence a health care provider’s reaction to a patient who provides ambiguous health information? How might ambiguity tolerance in these instances influence the recording of health records information?
8. Does sensitivity to uncertainty about the security of personal information influence information-sharing behavior?
9. Does ambiguity tolerance affect information search?
10. Does ambiguity tolerance influence the task performance of an auditor?
11. Does ambiguity tolerance moderate learning a second language?
12. Does ambiguity tolerance affect a consumer’s responses to advertising?
These questions are testament both to the fecundity of the concept and the way researchers have moved forward using modern developments in application, methodology, and theory to update the 65 TA concept.
I would like to express my gratitude to Alixe Lay and Joseph Marks for so much help in finding the studies. This entry is an update of Furnham and Marks (2013).
Acedo, F. J., & Jones, M. V. (2007). Speed of internationalization and entrepreneurial cognition. Journal of World Business, 42, 236–252.Find this resource:
Adorno, T., Frenkel-Brunswik, E., Levinson, D., & Sanford, R. (1950). The Authoritarian Personality. New York: Norton.Find this resource:
Altinay, L., Madanoglu, M., Daniele, R., & Lashley, C. (2012). The influence of family tradition and psychological traits on entrepreneurial intention. International Journal of Hospitality Management, 31, 489–499.Find this resource:
Anderson, S., & Schwartz, A. (1992). Intolerance of ambiguity and depression. Social Cognition, 10, 271–298.Find this resource:
Atamanova, I., & Bogomaz, S. (2014). Ambiguity tolerance as a psychological factor of foreign language communicative competence development. Procedia-Social and Behavioral Sciences, 154, 345–352.Find this resource:
Bardi, A., Guerra, V. M., Sharadeh, G., & Ramdeny, D. (2009). Openness and ambiguity intolerance: Their differential relations to well-being in the context of an academic life transition. Personality and Individual Differences, 47, 219–223.Find this resource:
Balgiu, B. A. (2014). Ambiguity tolerance in productional creativity. Logos Universalitate Mentalitate Educatie Noutate-Sectiunea Stiinte Sociale/Logos Universality Mentality Education Novelty-Section: Social Sciences, 1, 29–40.Find this resource:
Becherer, R. C., & Maurer, J. G. (1999). The proactive personality disposition and entrepreneurial behavior among small company presidents. Journal of Small Business Management, 37(1), 28–36.Find this resource:
Benjamin, A. J., Riggio, R. E., & Mayes, B. T. (1996). Reliability and factor structure of Budner’s Tolerance for Ambiguity Scale. Journal of Social Behavior and Personality, 11, 625–632.Find this resource:
Birrell, J., Meares, K., Wilkinson, A., & Freeston, M. (2011). Toward a definition of intolerance of uncertainty. Clinical Psychology Review, 31, 1198–1208.Find this resource:
Bors, D., Gruman, J., & Shukla, S. (2010). Measuring tolerance of ambiguity. Revue Europeene de psychologie appliquee, 60, 239–245.Find this resource:
Budner, S. (1962). Intolerance of ambiguity as a personality variable. Journal of Personality, 30, 29–50.Find this resource:
Buhr, K., & Dugas, M. J. (2006). Investigating the construct validity of intolerance of uncertainty and its unique relationship with worry. Journal of Anxiety Disorders, 20, 222–236.Find this resource:
Bušljeta Banks, I., & De Pelsmacker, P. (2014). Involvement, tolerance for ambiguity, and type of service moderate the effectiveness of probability marker usage in service advertising. Journal of Advertising, 43(2), 196–209.Find this resource:
Caligiuri, P., & Tarique, I. (2012), Dynamic cross-cultural competencies and global leadership effectiveness. Journal of World Business, 47, 612–622.Find this resource:
Caligiuri, P. M., Jacobs, R. R., & Farr, J. L. (2000). The attitudinal and behavioral openness scale: Scale development and construct validation. International Journal of Intercultural Relations, 24, 27–46.Find this resource:
Cargile, A. C., & Bolkan, S. (2013). Mitigating inter-and intra-group ethnocentrism: Comparing the effects of culture knowledge, exposure, and uncertainty intolerance. International Journal of Intercultural Relations, 37(3), 345–353.Find this resource:
Carleton, R. N., Norton, M. A. P., & Asmundson, G. J. G. (2007). Fearing the unknown: A short version of the intolerance of uncertainty scale. Journal of Anxiety Disorders, 21, 105–117.Find this resource:
Carter, J. D., & Hall, J. A. (2008). Individual differences in the accuracy of detecting social covariations: Ecological sensitivity. Journal of Research in Personality, 42, 439–455.Find this resource:
Caulfield, M., Andolsek, K., Grbic, D., & Roskovensky, L. (2014). Ambiguity tolerance of students matriculating to U.S. medical schools. Academic Medicine, 89(11), 1526–1532.Find this resource:
Chong, V. K. (1998). Testing the contingency (fit) between management accounting systems and the managerial performance: A research note on the moderating role of tolerance of ambiguity. British Accounting Review, 30, 331–342.Find this resource:
Chumakova, M. A., & Kornilov, S. A. (2013). Individual differences in attitudes towards uncertainty: Evidence for multiple latent profiles. Psychology in Russia: State of the Art, 6(4), 94–108.Find this resource:
Cooke, G. P., Doust, J. A., & Steele, M. C. (2013). A survey of resilience, burnout, and tolerance of uncertainty in Australian general practice registrars. BMC Medical Education, 13(1), 2.Find this resource:
Conchar, M. P., Zinkhan, G. M., Peters, C., & Olavarrieta, S. (2004). An integrated framework for the conceptualization of consumers’ perceived risk processing. Journal of the Academy of Marketing Science, 32, 418–436.Find this resource:
DeRoma, V. M., Martin, K. M., & Kessler, M. L. (2003). The relationship between tolerance for ambiguity and need for course structure. Journal of the Institute of Psychology, 30, 104–109.Find this resource:
Dewaele, J., & Wei, L. (2013). Is multilingualism linked to a higher tolerance of ambiguity? Bilingualism: Language and Cognition, 16(1), 231–240.Find this resource:
Diaz, F., & Rodriguez, A. (2003). Locus of control and values of community entrepreneurs. Social Behavior and Personality, 31, 739–748.Find this resource:
Dugas, M. J., Freeston, M. H., & Ladouceur, R. (1997). Intolerance of uncertainty and problem orientation in worry. Cognitive Therapy and Research, 21, 593–606.Find this resource:
Durrheim, K., & Foster, D. (1997). Tolerance of ambiguity as a content speciﬁc construct. Personality and Individual Differences, 22, 741–750.Find this resource:
Ehrman, M. E. (1999). Ego boundaries and tolerance of ambiguity in second language learning. In J. Arnold (Ed.), Affect in language learning (pp. 68–86). New York: Cambridge University Press.Find this resource:
Ellsberg, D. (1961). Risk, ambiguity, and the Savage axioms. Quarterly Journal of Economics, 75, 643–669.Find this resource:
Endres, M. L., Camp, R., & Milner, M. (2015). Is ambiguity tolerance malleable? Experimental evidence with potential implications for future research. Frontiers in Psychology, 6, 619.Find this resource:
Endres, M. L., Chowdhury, S., & Milner, M. (2009). Ambiguity tolerance and accurate assessment of self-efficacy in a complex decision task. Journal of Management and Organization, 15, 31–46.Find this resource:
Entrialgo, M., Fernandez, E., & Vazquez, C. J. (2000). Psychological characteristics and process: The role of entrepreneurship in Spanish SMEs. European Journal of Innovation Management, 3, 137–149.Find this resource:
Eysenck, H. (1954). The psychology of politics. London: Routledge.Find this resource:
Feather, N. (1969). Preference for information in relation to consistency, novelty, intolerance of ambiguity, and dogmatism. Australian Journal of Psychology, 31, 235–249.Find this resource:
Facione, N. C., Facione, P. A., & Sanchez, C. A. (1994). Critical thinking disposition as a measure of competent clinical judgment: The development of the California critical thinking disposition inventory. Journal of Nursing Education, 33, 345–350.Find this resource:
Fergus, T. A. (2013). Cyberchondria and intolerance of uncertainty: Examining when individuals experience health anxiety in response to Internet searches for medical information. Cyberpsychology, Behavior, and Social Networking, 16(10), 735–739.Find this resource:
Fergus, T., & Wu, K. (2013). The Intolerance of Uncertainty Scale. Assessment, 20(5), 555–564.Find this resource:
Firoozabadi, A., & Bahredar, M. J. (2006). P02–419—Ambiguity tolerance in students entering medical school (SHIRAZ-2006). European Psychiatry, 26(Suppl. 1), 1015.Find this resource:
Frenkel-Brunswick, E. (1948). Intolerance of ambiguity as an emotional and perceptual personality variable, Journal of Personality, 18, 108–123.Find this resource:
Frenkel-Brunswick, E. (1949). Tolerance toward ambiguity as a personality variable, American Psychologist, 3, 268–285.Find this resource:
Frenkel-Brunswick, E. (1951). Personality theory and perception. In R. Blake & E. Ramsey (Eds.), Perception: An approach to personality (pp. 356–419). New York: Ronald Press.Find this resource:
Freeston, M. H., Rhéaume, J., Letarte, H., Dugas, M. J., & Ladouceur, R. (1994). Why do people worry? Personality and Individual Differences, 17, 791–802.Find this resource:
Furnham, A. (1994). A content, correlational, and factor-analytic study of four tolerance of ambiguity questionnaires. Personality and Individual Differences, 16, 403–410.Find this resource:
Furnham, A., & Avison, M. (1997). Personality and preference for surreal paintings. Personality and Individual Differences, 23, 923–935.Find this resource:
Furnham, A., & Marks, J. (2013). Tolerance of ambiguity: A review of the recent literature. Psychology, 4, 717–728.Find this resource:
Furnham, A., & Ribchester, T. (1995). Tolerance of ambiguity: A review of the concept, its measurement, and applications. Current Psychology, 14, 179–199.Find this resource:
Geller, G., Tambor, E. S., Chase, G. A., & Holtzman, N. A. (1993). Measuring physicians’ tolerance for ambiguity and its relationship to their reported practices regarding genetic testing. Medical Care, 31, 989–1001.Find this resource:
Goldratt, E. (2000). The impact of perceived uncertainty, tolerance for ambiguity, and feelings of stress on employees’ attitudes towards organizational change (Unpublished PhD diss.). Bar-Ilan University, Ramat Gan.Find this resource:
Green V., & Roger, D. (2001). Coping with uncertainty: The construction of a new measure. Personality and Individual Differences, 31, 519–534.Find this resource:
Grenier, S., Barrette, A. M., & Ladouceur, R. (2005). Intolerance of uncertainty and intolerance of ambiguity: Similarities and differences. Personality and Individual Differences, 39, 593–600.Find this resource:
Gupta, A., & Govindarajan, V. (1984). Business unit strategy, managerial characteristics, and business unit effectiveness at strategy implementation. Academy of Management Journal, 27, 25–41.Find this resource:
Gurel, E., Altinay, L., & Daniele, R. (2010). Tourism students’ entrepreneurial intentions. Annals of Tourism Research, 37, 646–669.Find this resource:
Hartmann, F., & Slapnicar, S. (2012). The perceived fairness of performance evaluation: The role of uncertainty. Management Accounting Research, 23, 17–33.Find this resource:
Hartmann, F. G. H. (2005). The effects of tolerance for ambiguity and uncertainty on the appropriateness of accounting performance measures. ABACUS, 41, 241–264.Find this resource:
Hazen, B. T., Overstreet, R. E., Jones-Farmer, L. A., & Field, H. S. (2012). The role of ambiguity tolerance in consumer perception of remanufactured products. International Journal of Production Economics, 135, 781–790.Find this resource:
Herman, J. L., Stevens, M. J., Bird, A., Mendenhall, M., & Oddou, G. (2010). The Tolerance for Ambiguity Scale: Towards a more refined measure for international management research. International Journal of Intercultural Relations, 34, 58–65.Find this resource:
Hofstede, G. (1984). Cultures’ consequences. Beverly Hills, CA: SAGE.Find this resource:
Hofstede, G., & Bond, M. H. (1984). Hofstede’s cultural dimensions: An independent validation using Rockeach’s value survey. Journal of Cross-Cultural Psychology, 15, 417–433.Find this resource:
Houran, J., & Williams, C. (1998). Relation of tolerance of ambiguity to global and specific paranormal experience. Psychological Reports, 83, 807–818.Find this resource:
Hung, K.-T., & Tangpong, C. (2010). General risk propensity in multi-faceted business decisions: Scale development. Journal of Managerial Issues, 22, 88–106.Find this resource:
Ironside, P. M., Jefferies, P. R., & Martin, A. (2009). Fostering patient safety competencies using multiple-patient simulation experiences. Nursing Outlook, 57, 332–337.Find this resource:
Iyer, G., McBride, D., & Reckers, P. (2012). The effect of a decision aid on risk aversion in capital investment decisions. Advances in Accounting, 28, 64–74.Find this resource:
Jaensch, E. (1938). Der gegenryppus. Leipzig: Barth.Find this resource:
Judge, T. A., Thoresen, C. J., Pucik, V., & Welbourne, T. M. (1999). Managerial coping with organizational change: A dispositional perspective, Journal of Applied Psychology, 84, 107–122.Find this resource:
Kaplan, K. J. (1972). On the ambivalence-indifference problem in attitude theory and measurement: A suggested modification of the semantic differential technique. Psychological Bulletin, 77, 361–372.Find this resource:
Katsaros, K. K., Tsirikas, A. N., & Nicolaidis, C. S. (2014). Managers’ workplace attitudes, tolerance of ambiguity, and firm performance: The case of Greek banking industry. Management Research Review, 37(5), 442–465.Find this resource:
Krohne, H. W. (1989). The concept of coping modes: Relating cognitive person variables to actual coping behavior. Advances in Behavior Research and Therapy, 11, 235–248.Find this resource:
Krohne, H. W. (1993). Vigilance and cognitive avoidance as concepts in coping research. In H. W. Krohne (Ed.), Attention and avoidance (pp. 19–50). Göttingen, Germany: Hogrefe & Huber.Find this resource:
Lachance, S., Ladouceur, R., & Dugas, M. J. (1999). Elements explaining the tendency to worry. Applied Psychology: An International Review, 48, 187–196.Find this resource:
Ladouceur, R., Gosselin, P., & Dugas., M. J. (2000). Experimental manipulation of intolerance of uncertainty: A study of a theoretical model of worry. Behavior Therapy and Research, 38, 933–941.Find this resource:
Lal, M., & Hassel, L. (1998). The joint impact of environmental uncertainty and tolerance of ambiguity on top managers’ perceptions of the usefulness of non-conventional management accounting information. Scandinavian Journal of Management, 14, 259–271.Find this resource:
Lally, J., & Cantillon, P. (2014). Uncertainty and ambiguity and their association with psychological distress in medical students. Academic Psychiatry, 38(3), 339–344.Find this resource:
Lange, R., & Houran, J. (1998). Delusions of the paranormal: A haunting question of perception. Journal of Nervous and Mental Disease, 186, 637–645.Find this resource:
Lange, R., & Houran, J. (1999). The role of fear in delusions of the paranormal. Journal of Nervous and Mental Disease, 187, 159–166.Find this resource:
Laposa, J. M., Collimore, K. C., Hawley, L. L., & Rector, N. A. (2015). Distress tolerance in OCD and anxiety disorders, and its relationship with anxiety sensitivity and intolerance of uncertainty. Journal of anxiety disorders, 33, 8–14.Find this resource:
Lauriola, M., & Levin, I. P. (2001). Relating individual differences in attitude toward ambiguity to risky choices. Journal of Behavioral Decision Making, 14, 107–122.Find this resource:
Lauriola, M., Levin, I. P., & Hart, S. S. (2007). Common and distinct factors in decision making under ambiguity and risk: A psychometric study of individual differences. Organizational Behavior and Human Decision Processes, 104, 130–149.Find this resource:
Lauriola, M., Foschi, R., Mosca, O., & Weller, J. (2015). Attitude toward ambiguity: Empirically robust factors in self-report personality scales. Assessment, 23(3), 353–373.Find this resource:
Leichsenring, F., Steuernagel, E., Steuernagel, J., & Meyer, H. (2007). Tolerance of ambiguity. Perceptual and Motor Skills, 104, 855–869.Find this resource:
Leong, C. H., & Ward, C. (2000). Identity conflict in sojourners. International Journal of Intercultural Relations, 24, 763–776.Find this resource:
Le, A., Haller, C. S., Langer, E. J., & Courvoisier, D. S. (2012). Mindful multitasking: The relationship between mindful flexibility and media multitasking. Computers in Human Behavior, 28, 526–1532.Find this resource:
Litman, J. A. (2010). Relationships between measures of I- and D-type curiosity, ambiguity tolerance, and need for closure: An initial test of the wanting-liking model of information-seeking. Personality and Individual Differences, 48, 397–402.Find this resource:
Liu, C. (2015). Relevant researches on tolerance of ambiguity. Theory and Practice in Language Studies, 5, 1874–1882.Find this resource:
Lorsch, J. W., & Morse, J. J. (1974). Organizations and their members. New York: Harper and Row.Find this resource:
MacDonald, A. P. (1970). Revised scale for ambiguity tolerance: Reliability and validity. Psychological Reports, 26, 791–798.Find this resource:
Marginson, D., & Ogden, S. (2005). Coping with ambiguity through the budget: The positive effects of budgetary targets on managers’ budgeting behaviors. Accounting, Organizations, and Society, 30, 435–456.Find this resource:
Markon, K. E., Krueger, R. F., & Watson, D. (2005). Delineating the structure of normal and abnormal personality: An integrative hierarchical approach. Journal of Personality and Social Psychology, 88, 139–157.Find this resource:
McCrae, R. R. (1996). Social consequences of experiential openness. Psychological Bulletin, 120(3), 323–337.Find this resource:
McLain, D. L. (1993). The MSTAT-I: A new measure of an individual’s tolerance for ambiguity. Educational and Psychological Measurement, 53, 183–189.Find this resource:
McLain, D. L. (2015). Ambiguity tolerance and individual variation in reaction to information quality: About this research topic. Frontiers in Psychology, 6, 344. Retrieved from http://journal.frontiersin.org/researchtopic/2513/ambiguity-tolerance-and-individual-variation-in-reaction-to-information-quality#overview.Find this resource:
McLain, D. L. (2009). Evidence of the properties of an ambiguity tolerance measure: The Multiple Stimulus Types Ambiguity Tolerance Scale-II. Psychological Reports, 105, 975–988.Find this resource:
McLain, D. L., Kefallonitis, E., & Armani, K. (2015). Ambiguity tolerance in organizations. Frontiers in Psychology, 6, 344.Find this resource:
McMullen, J. S., & Shepherd, D. A. (2006). Entrepreneurial action and the role of uncertainty in the theory of the entrepreneur. Academy of Management Review, 31, 132–152.Find this resource:
Merrotsky, P. (2013). Tolerance of ambiguity: A trait of the creative personality. Creativity Research Journal, 25, 232–237.Find this resource:
Million, T. (1957). Authoritarianism, intolerance of ambiguity, and rigidity under ego- and task-involving conditions. Journal of Abnormal and Social Psychology, 99, 29–33.Find this resource:
Money, R., & Crotts, J. (2003). The effects of uncertainty avoidance on information search, planning, and purchases of international travel vacations. Tourism Management, 24, 191–202.Find this resource:
Morton, K. R., Worthley, J. S., Nitch, S. R., Lamberton, H. H., Loo, L. K., & Testerman, J. K. (2000). Integration of cognition and emotion: A postformal operations model of physician-patient interaction. Journal of Adult Development, 7, 151–160.Find this resource:
Neill, S., & Rose, G. M. (2007). Achieving adaptive ends through equivocality: A study of organizational antecedents and consequences. Journal of Business Research, 60, 305–313.Find this resource:
Norton, R. W. (1975). Measure of ambiguity tolerance. Journal of Personality Assessment, 39, 607–619.Find this resource:
Norr, A. M., Oglesby, M. E., Capron, D. W., Raines, A. M., Korte, K. J., & Schmidt, N. B. (2013). Evaluating the unique contribution of intolerance of uncertainty relative to other cognitive vulnerability factors in anxiety psychopathology. Journal of affective disorders, 151(1), 136–142.Find this resource:
O’Connor, P. (1952). Ethnocentrism, “intolerance of ambiguity,” and abstract reasoning ability. Journal of Abnormal and Social Psychology, 47, 526–530.Find this resource:
Pillis, E., & Reardon, K. (2007). The influence of personality traits and persuasive messages on entrepreneurial intention. Career Development International, 12, 382–396.Find this resource:
Rajagopal, L., & Hamouz, F. L. (2009). Use of food attitudes and behaviors in determination of the personality characteristic of openness: A pilot study. International Journal of Intercultural Relations, 33, 254–258.Find this resource:
Rasch, G. (1960). Probabilistic models for some intelligence and attainment tests. Chicago: MESA Press.Find this resource:
Ravindran, S., & Iyer, G. S. (2014). Organizational and knowledge management related antecedents of knowledge use: The moderating effect of ambiguity tolerance. Information Technology and Management, 15(4), 271–290.Find this resource:
Richardson, P. S., Jain, A. K., & Dick, A. (1996). Household store brand proneness: A framework. Journal of Retailing, 72, 159–185.Find this resource:
Rong, G., & Grover, V. (2009). Keeping up-to-date with information technology: Testing a model of technological knowledge renewal effectiveness for IT professionals. Information and Management, 46(7), 376–387.Find this resource:
Rosen, N. O., Ivanova, E., & Knäuper, B. (2014). Differentiating intolerance of uncertainty from three related but distinct constructs. Anxiety, Stress, & Coping, 27(1), 55–73.Find this resource:
Sagioglou, C., & Forstmann, M. (2013). Activating Christian religious concepts increases intolerance of ambiguity and judgment certainty. Journal of Experimental Social Psychology, 49(5), 933–939.Find this resource:
Rush, M. C., Schoel, W. A., & Barnard, S. M. (1995). Psychological resiliency in the public sector: “Hardiness” and pressure for change. Journal of Vocational Behavior, 46, 17–39.Find this resource:
Rydell, S. (1966). Tolerance of ambiguity and semantic differential ratings. Psychological Reports, 19, 1303–1312.Find this resource:
Rydell, S. T., & Rosen, E. (1966). Measurement and some correlates of need-cognition. Psychological Reports, 19, 139–165.Find this resource:
Saunders, D. (1955). Some preliminary interpretive material for the PRI Research Memorandum SS. Educational Testing Service.Find this resource:
Scott, W. A. (1966). Brief report: Measures of cognitive structure. Multivariate Behavioral Research, 1, 391–395.Find this resource:
Scott, W. A. (1969). Structure of natural cognitions. Journal of Personality and Social Psychology, 12, 261–278.Find this resource:
Scott, W. A., Osgood, D. W., & Peterson, C. (1979). Cognitive structure: Theory and measurement of individual differences. Washington, DC: V. H. Winston.Find this resource:
Steginga, S. K., & Occhipinti, S. (2004). The application of the heuristic–systematic processing model to treatment decision-making about prostate cancer. Medical Decision Making, 24, 573–583.Find this resource:
Stewart, W. H., Jr., Carland, J. C., Carland, J. W., Watson, W. E., & Sweo, R. (2003). Entrepreneurial dispositions and goal orientations: A comparative exploration of United States and Russian entrepreneurs. Journal of Small Business Management, 41, 27–46.Find this resource:
Storey, R. G., & Aldag, R. J. (1983). Perceived environmental uncertainty: A test of an integrated explanatory model. Paper presented at the 43rd annual meeting of the National Academy of Management, Dallas, TX.Find this resource:
Swami, V., Stieger, S., Pietschnig, J., & Voracek, M. (2010). The disinterested play of thought: Individual differences and preference for surrealist motion pictures. Personality and Individual Differences, 48, 855–859.Find this resource:
Tanaka, Y., Fujino, J., Ideno, T., Okuno, S., Takemura, K., et al. (2015). Are ambiguity aversion and ambiguity intolerance identical? A neuroeconomics investigation. Frontiers in Psychology, 5, 1550.Find this resource:
Tapanes, M. A., Smith, G. G., & White, J. A. (2009). Cultural diversity in online learning: A study of the perceived effects of dissonance in levels of individualism/collectivism and tolerance of ambiguity. Internet and Higher Education, 12, 26–34.Find this resource:
Teoh, H. Y., & Foo, S. L. (1997). Moderating effects of tolerance for ambiguity and risk-taking propensity on the role conflict-perceived performance relationship: Evidence from Singaporean entrepreneurs. Journal of Business Venturing, 12, 67–81.Find this resource:
Thalbourne, M. A. (1994). Belief in the paranormal and its relationship to schizophrenia-relevant measures: A confirmatory study. British Journal of Clinical Psychology, 33, 78–80.Find this resource:
Thalbourne, M. A., Dunbar, K. A., & Delin, P. S. (1995). An investigation into correlates of belief in the paranormal. Journal of the American Society for Psychical Research, 89, 215–231.Find this resource:
Thalbourne, M. A., & Houran, J. (2000). Transliminality, the Mental Experience Inventory, and tolerance of ambiguity. Personality and Individual Differences, 28, 853–863.Find this resource:
Van Hook, C. W., & Steele, C. (2002). Individual personality characteristics related to suggestibility. Psychological Reports, 91, 1007–1010.Find this resource:
Weisbrod, E. (2009). The role of affect and tolerance of ambiguity in ethical decision making. Advances in Accounting: Incorporating Advances in International Accounting, 25, 57–63.Find this resource:
Westerberg, M., Singh, J., & Hackner, E. (1997). Does the CEO matter? Scandinavian Journal of Management, 13, 251–270.Find this resource:
Wittenberg. K. J., & Norcross, J. C. (2001). Practitioner perfectionism: Relationship to ambiguity tolerance and work satisfaction. Journal of Clinical Psychology, 57, 1543–1550.Find this resource:
Wolfradt, U., & Dorsh, S. (1995). Schizotypy and paranormal beliefs: A cross-cultural study between German and Mongolian pupils. In R. V. Quekelberghe (Ed.), Ethnopsychology and psychotherapy: Shamanistic healing rituals and modern therapies in comparison (pp. 228–245). Landau, Germany: Selbstverlag.Find this resource:
Wolfradt, U., Oubaid, V., Straube, E. R., Bischoff, N., & Mischo, J. (1999). Thinking styles, schizotypal traits, and anomalous experiences. Personality and Individual Differences, 27, 821–830.Find this resource:
Wolfradt, U., & Rademacher, J. (1999). Interpersonal intolerance of ambiguity as a clinical differential criterium. Zeitschrift for Differentielle und Diagnostiche Psychologie, 20, 10–20.Find this resource:
Valutis, S. A. (2015). The relationship between tolerance of ambiguity and stereotyping: Implications for BSW education. Journal of Teaching in Social Work, 35(5), 1–16.Find this resource:
Xu, H., & Tracey, T. J. (2014). The role of ambiguity tolerance in career decision making. Journal of Vocational Behavior, 85(1), 18–26.Find this resource:
Xu, H., & Tracey, T. (2015). Career decision ambiguity tolerance scale: Construction and initial validations. Journal of Vocational Behavior, 88, 1–9.Find this resource:
Yurtsever, G. (2001). Tolerance of ambiguity, information, and negotiation. Psychological Reports, 89, 57–64.Find this resource:
Yurtsever, G. (2008). Negotiators’ profit predicted by cognitive reappraisal, suppression of emotions, misrepresentation of information, and tolerance of ambiguity. Perceptual and Motor Skills, 106, 590–608.Find this resource: