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. Author manuscript; available in PMC: 2007 Dec 13.
Published in final edited form as: Merrill Palmer Q (Wayne State Univ Press). 2007 Jan;53(1):131–154. doi: 10.1353/mpq.2007.0004

Temperamental and Joint Attentional Predictors of Language Development

Brenda J Salley 1, Wallace E Dixon Jr 2
PMCID: PMC2137170  NIHMSID: NIHMS24668  PMID: 18080005

Abstract

Individual differences in child temperament have been associated with individual differences in language development. Similarly, relationships have been reported between early nonverbal social communication (joint attention) and both temperament and language. The present study examined whether individual differences in joint attention might mediate temperament-language relationships. Temperament, language, and joint attention were assessed in 51 21-month-olds. Results indicated an inverse relationship between aspects of temperamental difficulty, including low executive control and high negative affect, and language development. Temperamental aspects of negative affect were also inversely predictive of joint attention. However, the utility of a model in which joint attention mediates the relationship between temperament and language during the second year was not supported.


A growing body of literature has revealed relationships between children’s temperament and their language development. Researchers have linked specific temperamental dimensions such as attention span and positive emotionality to both productive and receptive language, and they have done so repeatedly across multiple lab settings (Dixon & Smith, 2000; Karrass, 2002; Matheny, 1989; Morales, et al., 2000a; Slomkowski, Nelson, Dunn, & Plomin, 1992). The general finding has been that children with aspects of temperamental easiness (i.e., affective positivity, long attention span) tend to be relatively linguistically advanced. Although the correlational nature of these studies makes it premature to draw conclusions with respect to directions of effect, a bidirectional influence seem reasonable. For example, just as heightened linguistic sophistication may contribute to ease of interpersonal communication and relatively positive affect as a result of successful communication, so too might temperamental positive affect contribute to increased opportunities for language acquisition. In the present article, we focus on the potential impact of temperament on language, and consider ways in which temperament might be expected to influence language development.

Following the assumption that temperament contributes to language development, we must ask how it would do so. Rieser-Danner (2003) has postulated that temperament may have both direct and indirect impacts on language and cognitive functioning. In terms of a direct route of influence, children’s difficult temperaments might simply limit the extent to which they can process linguistically relevant information during language acquisition events. This possibility is consistent with Rothbart and Bates (1998), who suggested that the attentional components of temperament form part of an overarching behavioral control system, which, as a function of anterior brain maturation, becomes increasingly weighted through early development with modulating dimensions of temperament associated with emotionality. Thus, when children are very high in general negative affectivity, a relatively greater burden is placed on their behavioral control systems, which must regulate this negative affectivity. The end result is fewer resources available for linguistically relevant activities such as paying attention to word-referent associations when learning novel labels. Consistent with Rothbart and Bates’ hypothesis, a number of studies have reported that children who possess greater negative affect, higher response intensity, and lower tolerance for change of routine do in fact exhibit relatively short attention spans (e.g., Gartstein & Rothbart, 2003; Karrass & Braungart-Rieker, 2003; Smith et al., 1997), and these children also tend to have smaller vocabularies (Dixon & Smith, 2000).

An alternative route of influence follows from the possibility that some aspects of children’s temperament might indirectly contribute to language by influencing the formation of the social relationships that are relevant for language acquisition. That is, the kind and duration of interpersonal exchanges entered into by temperamentally difficult children may be different than those entered into by easy-going children, and these interpersonal relationships may have differential consequences for language acquisition (cf. Rieser-Danner, 2003). The temperament to language route of influence in this case is indirect to the extent that temperament is mediated by relationship quality.

These pathways of influence are not necessarily mutually exclusive, and both may be partially responsible for contributing to language development. However, to our knowledge only two studies have directly examined either route of influence, and both of these have focused explicitly on the direct route (Dixon & Salley, in submission; Dixon, Salley, & Clements, in press). The premise of these studies was that because children’s temperament cannot be manipulated directly, the next best thing would be to manipulate the environment in a way that would tap into children’s temperament in theoretically relevant ways. Thus, in a laboratory setting, Dixon and colleagues distracted children while simultaneously teaching them novel words, with the expectation that the effect of the distracters on word learning would vary as a function of children’s temperaments. Results of these studies were consistent with the direct-route approach. Children with the longest attention spans (as rated by either neutral observers or mother-report) were least affected by the distracters and most likely to learn the novel words.

Importantly, other research suggests the importance of taking social relationships into account when exploring temperament-cognition associations. For example, Karrass and Braungart-Rieker (2004) reported that correlations between 1-year temperamental distress to novelty and 3-year IQ were moderated by security of mother-child attachment. Historically, temperament and language development have both been associated with social development (e.g., Carson, Klee, Perry, Muskina, & Donaghy, 1998; Thomas, Chess, & Birch, 1968), which raises the possibility that easy-going children are relatively socially skilled, and well-positioned to establish high quality, social relationships that would place them at a linguistic advantage.

One aspect of children’s social skills which may play a particularly central role in mediating temperament-language relationships is children’s proclivity for engaging in joint attention. Researchers have consistently reported relationships throughout infancy and toddlerhood between joint attention and both language development (Markus, Mundy, Morales, Delgado, & Yale, 2000; Mundy & Gomes, 1998) and temperament (Kasari, Sigman, Mundy, & Yirmiya, 1990; Vaughan et al., 2003). Thus, there is evidence that joint attention may play a mediating role in the temperament language relationship. However, to our knowledge no published research has explored whether correlations between temperament and language are a byproduct of their common relationship with joint attention.

Joint attention as a means of nonverbal social communication is theorized to tap into social, emotional, and cognitive domains of development. It also reliably predicts a variety of sociodevelopmental outcomes, including IQ, social adaptation, behavioral regulation, and language development in both typically and atypically developing populations (Sheinkopf, Mundy, Claussen, & Willoughby, 2004). In terms of its developmental significance, joint attention has been characterized as a specialized form of attention-sharing and nonverbal communication that emerges as children first engage in eye-to-eye gaze with social partners, and it develops as children and their social partners coordinate attention toward common objects or events. Joint attention has been divided into two basic categories: 1) responding to joint attention (RJA) occurs when one follows the direction of eye gaze, head turn, or pointing gesture of a social partner (Mundy, Hogan, & Doehring, 1996), whereas 2) initiating joint attention (IJA) occurs when one points or looks at an interesting object or event while alternating gaze between the object and a social partner (Mundy et al., 1996). Joint attention is most often operationally defined either by the amount of time spent in mutual object engagement in naturalistic settings or by experimentally induced behaviors (i.e., eye gaze following or pointing in response to experimenter prompts).

Researchers have primarily focused on understanding how joint attention facilitates language development (Carpenter, Nagell, & Tomasello, 1998; Dunham & Dunham, 1992; Dunham, Dunham, & Curwin, 1993; Morales, et al., 2000a; Tomasello & Farrar, 1986), and it is easy to conceptualize how it might do so. Baldwin (1995), for example, demonstrated that when 18-month-old children and an adult experimenter were looking at two different novel objects, and the adult applied a novel word to her own object, children would learn the novel label for the experimenter’s object rather than identifying the label with their own object. In this case, children had to attend to the experimenter’s attentional focus in order to learn the target word-referent mapping.

In a longitudinal study of joint attentional behaviors from 6 to 24 months, Morales et al. (2000b) found that responding to joint attention at 6, 8, 10, 12 and 18 months positively predicted vocabulary development at 2 years. Moreover, several studies have demonstrated that the amount of time children spent sharing attention with others predicted their later vocabulary development, and even their later IQ (Markus et al., 2000; Mundy & Gomes, 1998; Tomasello & Farrar, 1986; Ulvund & Smith, 1996).

There are good reasons to expect that individual differences in the development of joint attention may partially derive from individual differences in child temperament. Vaughan et al. (2003) reported that IJA at 9 months was positively associated with 9-month smiling and laughter. This finding makes sense to the extent that positive emotionality should provide an emotional scaffold for children to develop skill in allocating joint attention and to develop an appreciation for interpersonal exchanges generally. Interestingly, Vaughan et al. also found that 9-month distress to novelty was positively predictive of IJA bids at 12 months. To account for this seemingly contradictory finding, Vaughan et al. suggested that children who are inhibited by novelty may use joint attention bids with familiar caregivers as a means to gather social information to allay their distress. In other words, under some conditions IJA may serve a social referencing function in the service of stress reduction. In this way, temperamental predispositions may contribute to the development of joint attention.

Although past research raises the possibility of an indirect route of influence, from temperament to social relationship quality to language development, the nature of such a relationship has not been investigated. We propose to test this model by exploring both the relationships between temperament and joint attentional skills, and between joint attentional skills and language development, under the assumption that joint attentional skills contribute to the development of linguistically relevant social relationships. The following hypotheses were considered.

First, in replication of previous research, we expected that infant temperament would predict concurrent measures of vocabulary at child age 21 months (Dixon & Shore, 1997; Dixon & Smith, 2000; Morales et al., 2000a). To this end, dimensions of temperament previously found to predict language productivity, namely attention span, positive emotionality, adaptability/soothability, and perceptual sensitivity, were expected once again to associate with language productivity. Extending previous research, the correlations were expected to obtain with a different mother-report temperament instrument than previously used (i.e., the Early Child Behavior Questionnaire, ECBQ; Putnam, Jones, & Rothbart, 2002) and a different, predominantly rural sample of children. Because the ECBQ is a new instrument developed to tap into more fine-grained dimensions of temperament than previously explored, we were also interested in whether any of the newly conceptualized dimensions of temperament might correlate with language development.

Second, we expected 21-month joint attention to be related to concurrent temperament (Morales et al., 2000a; Mundy, Kasari, & Sigman, 1992; Vaughn et al., 2003). In particular, aspects of temperament thought to promote social relationships, such as attention span, positive mood, and adaptability, were expected to correlate positively with children’s joint attentional skills. Similarly, aspects of temperament thought to inhibit social relationships, such as fear of novelty, negative mood, and inhibition, were expected to correlate negatively with children’s joint attentional skills. In contradistinction to Vaughan et al. (2003), who found a positive relationship between distress to novelty and IJA in the context of familiar child-caregiver dyads at 12 months, we expected the opposite association as a function of our incorporation of unfamiliar child-experimenter dyads. In other words, we expected high levels of discomfort with novelty to associate with low levels of joint attention in the presence of an unfamiliar social partner.

Finally, the primary purpose of this investigation was to examine the extent that links between temperament and language were attributable to children’s joint attentional skills. Because we viewed it as conceivable that the temperament-language relationships reported in the literature were an artifact of joint attentional skill, we sought to determine the extent to which temperament-language relationships would be attenuated when variance due to joint attentional skill was removed. Implicit in this hypothesis was that infant joint attention at 21 months need not be associated with concurrent measures of language facility. Past research has failed to find a concurrent correlation between joint attention and vocabulary size beyond 18 months (Morales et al., 2000b), which suggests that although early joint attentional skill may facilitate subsequent language development, later joint attentional skill may not associate with concurrent language facility. Nevertheless, it remained of interest to explore whether temperament remained correlated with language after controlling for joint attention.

Methods

Participants

For this study, 21-month-old toddlers (M = 21.88 months, SD = 0.36 months) were recruited through birth announcements placed in local newspapers. Fifty-one participants volunteered from a rural, upper SES Appalachian community. With the exception of one boy who was identified by his mother as having a non-European American father, 98% of the sample self-identified as European American in ethnicity (21 boys and 30 girls). Mean maternal age was 32.00 years (SD = 5.90 years), with fathers averaging 33.34 years (SD = 5.72). Annual household income ranged from a low of $13,000 to a high of $250,000, with a median income of $66,000. Forty-eight children were accompanied to the lab by their mothers, three by their fathers. Children and their caregivers participated in a session conducted at the infant studies laboratory on the campus of a regional university. Parents were informed that they would be participating in a one-time study on the relationship between temperament and language development. Parents were then requested to schedule their visit for a time during which their child would typically be alert and wakeful. Children selected a $5-10 toy in exchange for their participation.

Materials

Early Childhood Behavior Questionnaire

The Early Childhood Behavior Questionnaire (ECBQ; Putnam, et al., 2002) was used to assess parent report of temperament. Its 201 items describe daily behaviors that take place during typical events such as naptime (e.g., “When told that it is time for bed or a nap, how often did your child (a) react with anger or (b) get irritable?”) and peer interactions (e.g., “When approaching unfamiliar children playing, how often did your child (a) watch rather than join in, (b) approach slowly, or (c) seem uncomfortable?”). For each of the items, response options ranged from 1 (“never”) to 7 (“always”). A list of the 18 ECBQ subdimensions, along with its three superdimensions can be found in Table 1.

Table 1.

Means, Standard Deviations, and Internal Reliabilities for ECBQ Dimensions

ECBQ Dimension M SD α
Executive Control
 Affiliation 4.63 .75 .81
 Attentional Focusing 3.93 1.02 .87
 Attention Shifting 4.75 .63 .48
 Inhibitory Control 3.75 1.02 .91
 Low Intensity Pleasure 5.05 .94 .75
Surgency
 Activity Level 4.37 .84 .75
 High Intensity Pleasure 4.71 .91 .81
 Impulsivity 4.76 .77 .74
 Positive Anticipation 4.75 1.05 .86
 Sociability 5.79 .95 .81
Negative Affect
 Discomfort 2.22 .83 .73
 Fear 2.20 .74 .68
 Frustration 3.20 1.05 .85
 Motor Activation 2.10 .73 .74
 Perceptual Sensitivity 4.27 1.18 .88
 Sadness 2.56 .85 .78
 Shyness 3.05 1.07 .87
 Soothability 5.18 .72 .82

Note: N = 49 for available ECBQ data.

Parent report has been found to be a reliable means for the assessment of children’s temperament (Rothbart & Bates, 1998) and has the added advantage that parents are likely to have the best and widest access to observing their children’s temperamental expression (Putnam, Ellis, & Rothbart, 2001). In addition, parent report has been validated against children’s actual laboratory behavior (e.g., Bridges, Palmer, Morales, Hurtado, & Tsai, 1993; Goldsmith & Rothbart, 1991; Smith et al., 1997).

It should be pointed out that a driving force in the psychometric construction of the ECBQ (and other instruments from the same family such as the Infant Behavior Questionnaire – Revised and the Child Behavior Questionnaire), is Rothbart and colleagues’ (e.g., Putnam et al., 2001; Rothbart & Bates, 1998) comprehensive model of children’s temperament. Their model generally comprises three overarching constructs, derived from factor analyses, believed to characterize children’s temperament from early infancy through early adolescence. Each of these overarching factors, in turn, comprises a number of subscales, or more fine-grained aspects of temperament. Their factors include Surgency, Negative Affect, and Executive Control. Surgency is taken as an index of the degree to which children are generally outwardly focused or outgoing, and may characterize the extent to which children engage in appetitive behaviors. Included in surgency are subscales reflecting aspects of positive emotionality. Negative affect is designed to reflect the extent of activation of children’s fear and stress systems, and is typically manifested in withdrawal behaviors. Finally, effortful control gives “children the ability to direct their attention, to choose between an array of competing choices, and to regulate their emotions and behaviors” (Putnam, et al., 2001, p. 178). These three broad factors have been cross-culturally identified as remaining stable in studies of infants, children, and adolescents (Putnam et al., 2001, 2002; Rothbart, Chew, & Gartstein, 2001).

MacArthur-Bates Communicative Development Inventory

Measures of language productivity were also obtained from parent report, via the MacArthur-Bates Communicative Development Inventory, Words and Sentences version (MBCDI; Fenson et al., 1994). The MBCDI: Words and Sentences yields measures of productive vocabulary and morphological development, as well as an estimate of the mean length of utterance (MLU) of children’s parent-reported longest three utterances, for children between 16 and 30 months of age. From a series of word lists drawn from categories representing nouns, verbs, pronouns, and several other form classes, parents are asked to identify the words their children produce. This instrument has demonstrated high internal consistency and test-retest reliability (Fenson et al., 1994). Based on a review of studies examining the validity of parent report of child vocabulary in general and the validity of the MBCDI specifically, Fenson et al. (1994) concluded that the MBCDI reliably assesses a more complete range of vocabulary production than either laboratory observation or structured laboratory measures allow. For purposes of succinctness, summary measures of the MBCDI were employed, and included nouns, predicates, closed-class items, and morphology.

Early Social Communication Scales

To measure children’s joint attention bids and responses in our sample, we adapted the Early Social Communication Scales (ESCS, Abridged; Mundy et al., 2003), which focuses on children’s eye contact and gestural communication. The ESCS has been validated to measure early nonverbal communicative development for children 8 to 30 months of age.

Among the three categories of nonverbal social communication skills the ESCS has been designed to assess, for the present study we employed only the joint attentional measures (IJA & RJA). Both naturally occurring and experimentally induced behaviors were coded for frequency of occurrence from split-screen video recordings of both child and experimenter eye-gaze activity. IJA bids were counted when children pointed at or alternated gaze between an interesting object or event and a social partner (i.e., either the parent or the experimenter) or showed an object to a social partner. RJA bids were counted whenever children followed the direction of eye gaze, the head turn, or the pointing gesture of the experimenter.

Two ESCS tasks were adapted and presented to each child. First, the Book Task assessed both IJA and RJA behaviors. For this task, a picture book (with several large, brightly, colored pictures on each 8.5″ × 11″ page) was displayed in front of the child. The experimenter allowed the child to explore the book uninterrupted for approximately 20 seconds. If the child spontaneously pointed to pictures in the book, the experimenter responded naturally and briefly (e.g., “I see”). After the initial 20 seconds elapsed, the experimenter began pointing to pictures, using the child’s name while pointing. On each page, up to four pictures were pointed out by the experimenter, with each consecutive picture being of sufficient distance from the previous picture so that any shift in visual focus could be easily observed. This process was repeated for each page in the picture book.

Second, the Attractive Toy Task was designed to elicit IJA behaviors. The task began when an attractive wind up toy (Gary the Snail) was shown to the child. The experimenter wound the toy, placed it out of the child’s reach, and let it “run” across the table in front of the child. Joint attention initiation bids by the child were again responded to naturally and briefly. The experimenter then placed the toy in a clear plastic container, sealed it so that children could not gain access to the toy, and handed the container to the child. For the next minute, the experimenter left the room. The experimenter’s absence provided children with an opportunity to engage their parents with IJA bids.

Following Mundy and Gomes (1998), IJA bids were classified as either developmentally higher or lower level behaviors. Lower level IJA bids included eye contact with the experimenter while the child manipulated or touched a target object, and alternates, in which the child shifted gaze between the target object and the eyes of either the experimenter or the parent. Higher level IJA bids included pointing, in which the child pointed to the target object before observing any pointing on the part of an adult, and showing, in which a child held up an object for the visual regard of an adult. Across both tasks, IJA bids were counted whenever the child pointed or showed an object to the experimenter or parent while making eye contact (higher IJA), or when the child made eye contact or alternated eye contact with the experimenter or parent without pointing or showing (lower IJA). RJA was only counted in the book task, and reflected the extent to which children followed the pointing gestures of the experimenter. RJA was distinguishable from lower level IJA alternates because RJA was counted only if children looked at a picture the experimenter just pointed to. Two observers double-coded all videos, and a third coder made the final determination in the instance of disagreements.

Design and Procedure

One week prior to their visit, parents received by mail the Early Childhood Behavior Questionnaire (Putnam et al., 2002) and the MacArthur-Bates Communicative Development Inventory (Fenson et al., 1994). Completed questionnaires were collected at the time of the lab visit. Parents remained with their children throughout the entire laboratory session, with children sitting on their parents’ laps. The entire experimental session, including tasks not related to the present study, lasted about an hour.

Upon initial arrival, children were given the opportunity to acclimate to the setting, while parents were consented. Women experimenters blind to children’s temperament status administered the experimental sessions. About 8 minutes of the total session was devoted to the joint attention tasks. Order of the two joint attention tasks was counterbalanced across children. Data collection took place in a room measuring approximately 3 meters by 4 meters, which contained a testing table and a cabinet holding the stimulus materials.

Results

Means and standard deviations for the temperament, language, and joint attention measures are reported in Tables 1, 2, and 3, respectively. Reliabilities for the ECBQ subdimensions are provided in Table 1. In Table 3, IJA bids were averaged across the two tasks. The sample data were compared to normative data for the ECBQ and MBCDI measures; however, normative ESCS data for 21 month olds were not available. Toddlers in the present study were at the mean for all language measures, but were significantly above the mean for the ECBQ (temperament) scales of attention and attentional shifting. The source of this difference is not clear. Household income of families in the present study (M = $67,671) was roughly comparable to that of the ECBQ standardization sample (M = $59,158). For all other variables in the present sample, no significant differences from the normative samples were observed.

Table 2.

Means and Standard Deviations for MBCDI Summary Categories

MBCDI Summary Category M SD
Nouns 115.06 83.89
Predicates 42.51 42.78
Closed Class Words 17.04 20.82
Morphology 8.27 10.71
Total Vocabulary (nouns, predicates, closed class) 174.62 140.61
Mean Length of Utterance (MLU) 3.02 1.81

Note: N ranges from 43 to 47 for available MBCDI data.

Table 3.

Means and Standard Deviations for Joint Attention Measures

ESCS Behavior M SD
IJA Eye Contact 1.63 2.30
IJA Alternates 1.35 1.52
IJA Points 5.55 5.13
IJA Points with Eye Contact .71 1.30
Lower IJA (Eye Contact + Alternates) 3.04 3.28
Higher IJA (Points + Points with Eye Contact) 6.25 5.74
Total IJA (Lower IJA + Higher IJA) 9.52 6.51
Ratio Higher IJA / Total IJA .64 .32
RJA Ratio Points Followed .70 .20

Although internal reliabilities for the ECBQ subdimensions were relatively good, two scales were noticeably lower than the others: attention shifting and fear. Low internal reliabilities of these scales may have constrained their correlations with the other variables. Summary language measures from the MBCDI are presented in Table 2. These include nouns (summing across all noun categories), predicates (summing the verb and adjective categories), closed class words (summing across all function word categories including pronouns, articles, and prepositions), morphology (summing across categories indexing children’s use of noun and verb inflections), and MLU (mean length of utterance in morphemes). Although the standard deviations for the language measures appear large relative to their means, it is important to point out that this is typical of the variability in productive vocabulary at this age, and is in fact comparable to previous work (e.g., Dixon & Smith, 2000).

Across all possible temperament, language, and joint attention measures, only two gender differences emerged: boys were rated significantly higher than girls in level of discomfort (t(43) = 2.00, p = .052), and they were reported as producing fewer closed class words (e.g., pronouns, articles, prepositions) than girls (t(45) = -2.03, p = .049).

Temperament and Language

The first question of interest dealt with whether the temperament subscales were associated with children’s language. Based on past research, it was expected that ECBQ subscales of attention span, positive emotionality, soothability (e.g., Dixon & Shore, 1997; Dixon & Smith, 2000) and perceptual sensitivity (Dixon & Smith, 2000) would correlate positively with measures of language development. With respect to the ECBQ, therefore, we expected that language measures would correlate with attention span measures (attentional focusing, attention shifting, and inhibitory control), positive emotionality measures (low intensity pleasure, high intensity pleasure, and positive anticipation), sociability, and perceptual sensitivity.

In Table 4 are shown the temperament-language correlations. Because there were 21 possible temperament measures (18 subscales + 3 factors), an individual temperament measure was included in the table only if a) it was predicted to correlate with the language measures, or b) two or more of its correlations with the language measures were significant at the α = .10 level. With correlational analyses, one has to be cautious regarding experimentwise error rates. In the present case, however, there were 63 correlations that emerged as statistically significant at the .10 level, which is four times what would be expected by chance – clearly indicating meaningful relationships between the temperament and language measures.

Table 4.

Correlations Between Temperament and Language

Language Measures

Temperament
Measures
Nouns Predicates Closed
Class
Total
Vocabulary
Morphology Complexity MLU
Executive Control .42** .33* .44** .41** .40** .50** .46**
 Attention Focusing+ .39** .34* .34* .38** .36* .39** .37*
 Attention Shifting+ .37** .27 .36* .36* .30* .43** .47**
 Inhibitory Control+ .34* .34* .32* .35* .28 .45** .40**
 Low Intensity Pleasure+ .27 .30*
 Affiliation+
Surgency
 High Intensity Pleasure+ .29* .26
 Positive Anticipation .35* .30* .37** .35* .32* .32* .34*
Negative Affect -.28
 Fear -.27 -.25
 Frustration -.29* -.37* -.31* -.33* -.26 -.31*
 Sadness -.26 -.26 -.28 -.28 -.29* -.34*
 Perceptual Sensitivity+ .33* .29* .29* .42** .32* .26
 Discomfort -.27 -.27 -.25
Soothability+

Note: N ranges from 43 to 47 for available data.

Mean Length of Utterance.

+

These scales were expected to associate with language measures a priori.

*

p < .05;

**

p < .01; else p < .10 for all reported correlations.

With the exception of sociability, language measures were significantly correlated with all of the predicted temperament dimensions. Dimensions of attention were most robustly associated with the language measures. Surprising on this account was the fact that among the attention measures associated with language was attention shifting. Recall that internal reliability of this measure in our sample was especially low. Positive anticipation and perceptual sensitivity were also correlated with the majority of the language measures; however, correlations between language and high and low intensity pleasure appeared much more sporadic and relatively weak.

Two measures of temperament were unexpectedly correlated with language. Frustration and sadness, both aspects of the negative affect superdimension, were both significantly negatively correlated with measures of language. Such inverse correlations were anticipated but did not obtain in previous research, such as in Dixon and Smith (2000). From the perspective of either the direct or the indirect route of influence model, it stands to reason that children with high levels of negative affect would be at a language-learning disadvantage, but it is not clear why similar findings were not obtained in previous work.

Joint Attention and Temperament

Based on past research, it was predicted that children high in aspects of positive emotionality would demonstrate relatively well-developed joint attentional skills. But in the present study it was also predicted that children high in negative emotionality would demonstrate relatively low levels of joint attentional skill, because it was expected that they would have experienced relatively few social learning opportunities to acquire well-developed ones. Finally, we anticipated that children high dimensions of attention would generally be at an advantage for developing joint attentional skill, if for no other reason than both temperamental attention and joint attention might draw on a common attentional function.

As can be seen in Table 5, our predictions were not strongly confirmed. In the one instance where a measure of positive emotionality was correlated (i.e., positive anticipation), the correlation was opposite the expected direction. Similarly, attention span measures were correlated with primarily one joint attention measure (i.e., IJA alternates), but again, these correlations were opposite the expected direction.

Table 5.

Correlations Between Temperament and Joint Attention

Joint Attention Measures

Temperament
Measures
Eye
Contact
Alternates Points Points w.
Eye Contact
Lower
IJA
Higher
IJA
Total
IJA
C-IJA
Executive Control -.38* -.29
 Attention Focusing
 Attention Shifting -.29
 Inhibitory Control -.29
 Low Intensity Pleasure+
Surgency
 High Intensity Pleasure
Positive Anticipation .31*
Negative Affect -.44** -.42** -.32* -.36*
 Fear -.30* -.31* -.26
 Frustration .32* -.25
 Sadness
 Perceptual Sensitivity+ -.25 -.31*
 Discomfort -.30* -.26
*

p < .05;

**

p < .01; else p < .10 for all reported correlations.

Confirming expectations was the pattern of correlations involving joint attention and negative emotionality. Toddlers low in frequency of pointing were generally higher in fear and discomfort. Again, however, not all dimensions were in the predicted direction. For example, higher frustration was predictive of a higher frequency of IJA alternates. Interestingly, perceptual sensitivity was correlated with overall IJA, which suggests that children who were least sensitive to ongoing environmental activity were most likely to engage in joint attention. RJA was not correlated with any of the temperament measures, and so is not included in Table 5.

Considering experimentwise error, the correlational analyses involving joint attention and temperament would produce about 10 falsely significant correlations. However, eighteen significant correlations obtained, suggesting that the pattern of associations are meaningful. The negative affect factor seemed to best predict children’s likelihood of engaging in joint attention. Consistent with the direction of the majority of the correlations with the temperament subdimensions, high levels of negative affect were generally associated with lower levels of IJA bids.

Joint Attention, Language, and Temperament

The primary goal of the present investigation was to explore whether individual differences in children’s temperament remained correlated with individual differences in vocabulary size, after controlling for joint attention. As an exploratory first step toward testing this possibility, we conducted correlational analyses between joint attention and total vocabulary. Consistent with Morales et al. (2000b), we found that joint attention measures failed to associate with vocabulary at 21-months of age. Next, because dimensions of negative emotionality were correlated with both joint attention and vocabulary, we wondered whether negative emotionality would continue to correlate with vocabulary after statistically controlling for joint attention. Unfortunately, this analysis was obviated by the fact that the measures of negative affect which correlated with joint attention were generally not the same ones as correlated with the vocabulary measure (with the exception of frustration and perceptual sensitivity). In an effort to determine whether vocabulary would correlate with negative affectivity after controlling for joint attention (i.e., IJA alternates), a regression analysis was conducted in which frustration and perceptual sensitivity were regressed simultaneously on both total vocabulary and the joint attention measure with which they were most highly correlated. As shown in Table 6, the language-temperament correlation remained significant even after controlling for the IJA measure.

Table 6.

Simultaneous Regressions of Temperament Measures on Total Vocabulary and Joint Attention Measures

Dependent
Variable
Independent
Variables
β t p
1) Executive Control Total Vocabulary .44 3.28 .002
Lower IJA -.32 -2.39 .022
2) Executive Control Total Vocabulary .38 2.85 .007
IJA Alternates -.34 -2.56 .015
3) Attention Shifting Total Vocabulary .31 2.14 .038
IJA Alternates -.26 -1.80 .080
4) Inhibitory Control Total Vocabulary .36 2.54 .015
IJA Alternates -.25 -1.79 .082
5) Positive Anticipation Total Vocabulary .33 2.45 .018
IJA Pointing -.31 -2.25 .029
6) Frustration Total Vocabulary -.26 -1.80 .079
IJA Alternates .29 2.03 .049
7) Perceptual Sensitivity Total Vocabulary .33 2.30 .027
Total IJA -.37 -2.58 .014

In fact, there were only five other cases in which a temperament measure was correlated simultaneously with both a joint attention and a language measure. Each of these cases was subjected to a regression analysis similar to that employed with the negative affect measures, and in each case the temperament measure remained correlated with total vocabulary after controlling for joint attention (see Table 6). Based on these data, it appears that correlations between temperament and concurrent language are probably not an artifact of their joint attentional skills at 21 months.

Discussion

The overarching goal of the present study was to explore the hypothesis that temperament may have an indirect route of influence on language development, by virtue of its intermediary effect on children’s abilities to construct or maintain linguistically supportive social relationships. Nonverbal social communication, as a theoretical foundation for social relationships, was operationalized as children’s expression of initiating or responding to joint attentional bids in a laboratory setting. Although as expected measures of temperament were robustly predictive of language development, children’s expression of joint attention was generally not correlated with concurrent measures of language development at 21-months. Measures of temperamental negative affect were found to correlate with both joint attention and language measures, both findings of which represent additions to the literature. However, partialling out the variation in temperament due to joint attention appeared to have no effect on correlations between temperament and language. Thus, it appears that temperament-language relationships at this age exist over and above any contributions to the covariance made by joint attention.

We believe these results make several important contributions to the literature. First, they add to the growing literature demonstrating a link between individual differences in temperament and individual differences in language. In line with past research (Dixon & Smith, 2000; Karrass & Braungart-Rieker, 2003; Kubicek, Emde, & Schmitz, 2001; Matheny, 1989; Slomkowski et al., 1992), aspects of positive emotionality were associated with language ability in the present study. Specifically, pleasure in expectation of enjoyable activities, along with the pleasure and positive mood expressed during a high intensity experience were predictive of better language ability.

But in addition, the present results are among the first to reveal an association between aspects of negative emotionality and language development. The specific subscales of temperament which many parents might regard as characterizing temperamental difficulty, namely fear, frustration, sadness, and discomfort, were, as a group, associated with aspects of relatively poor language development. These results are consistent with Rothbart and Bates’ (1998) control systems approach (which is also consistent with a direct-route-of-influence model), which posits that children high in negative affectivity would allocate considerable attention toward regulating their negative affectivity, and who would consequently have fewer attentional resources to allocate to language acquisition.

The present results are also consistent with previous literature in failing to find a relationship between RJA and language in the second half of the second year (Morales et al., 2000b). Most researchers agree that the complete range of joint attention skills appears to come under the control of the child sometime between 12 and 18 months of age (Adamson & MacArthur, 1995; Tomasello, 1995). However, to the extent that most children have developed considerable joint attentional skill by the end of the second year, individual differences in the employment of joint attention may cease to be predictive of individual differences in vocabulary or morphological development. Perhaps joint attentional skill, particularly RJA skill, reaches ceiling by 21 months, and loses its predictive utility in accounting for vocabulary development as a result. A next step in this line of research might be to explore whether joint attentional skill at 21 months predicts performance in still more sophisticated language domains such as grammar or pragmatics, either concurrently or longitudinally. To the extent that RJA is considered to be developmentally earlier than IJA, one might expect these latter correlations to reflect primarily IJA-language correlations rather than RJA-language ones.

The fact that bids to initiate joint attention (IJA) was negatively associated with the affectively negative dimensions of temperament, and not positively associated with the affectively positive dimensions of temperament, was unexpected. Based on previous research, we anticipated that temperamental dimensions of positive emotionality would be related to higher frequencies of joint attentional bids (Morales et al., 2000a; Mundy et al. 1992; Vaughn et al., 2003), but this expectation was not fulfilled. Discovery that temperamentally negative children engage in few joint attentional bids, coupled with the absence of any association between positive emotionality and joint attention, may be a function of theoretical and empirical independence of the temperamental dimensions of negative and positive emotionality (cf. Putnam et al. 2002) in the temperament assessment instrument we employed. We can at least say that children high in negative affect may be disadvantaged with respect to the employment of joint attentional skills under novel laboratory conditions.

It may be of some utility for future researchers to explore the extent that various subdimensions of negative affect differentially predicts joint attention and/or vocabulary development. It is curious, for example, that the negative affect factor was correlated with total IJA bids, whereas only the subscales of negative affect were associated with the language measures. This finding raises the possibility that various subdimensions of negative emotionality differentially map onto linguistic or joint attentional development. To test this hypothesis experimentally, and following upon Dixon and colleagues (Dixon & Salley, in submission; Dixon, et al. in press), research could be conducted in which children are taught novel words under variously threatening laboratory conditions. In an unfamiliar laboratory with an unfamiliar experimenter, one might predict that children high in fear of novelty would be less successful than children low in fear of novelty in paying attention to information relevant for acquiring a novel label for a novel object, and would instead allocate proportionally more attention to monitoring the proximal distance of the experimenter from the child. This prioritizing of attention might then result in poorer word learning among temperamentally fearful children. Other subscales of negative affect such as frustration or sadness would presumably be less relevant than fear for predicting the kind of information acquired by children in a novel setting, which may help explain why the negative affect factor is not consistently a robust predictor of language development.

A central limitation of the present study is its cross-sectional focus on 21-month-olds. Considering longitudinal relationships between joint attention, temperament, and language development would be further illuminating. The predictive relationships between joint attention and language development reported in the literature are strongest in the latter half of the first year, and the beginning of the second year, so it may be that to the extent that temperament has an impact on the development of children’s joint attentional skill, it does so in the first 18 months. The relationship between joint attention and some of the affective dimensions of temperament may also be stronger during this time frame, to the extent that children’s executive control systems are presumably still developing as are their abilities to use their executive control systems to override their more reactive socioemotional tendencies (Rothbart & Bates, 1998; Smith et al., 1997).

It also would be useful to extend the procedures employed in the present study to more naturalistic settings. Joint attention assessed within naturally occurring mother-child interactions may be very different than that assessed in structured laboratory settings. For example, joint attention may be disproportionately affected by temperament in the laboratory setting when the lab is perceived by children as novel and frightening (or conversely attractive and exciting). Under these conditions, one would expect children high in negative affect (or surgency) to disproportionately express their negative affect (or surgency) relative to what they would express in more familiar settings. Such differential expression of negative affect (surgency) might then differentially limit children’s opportunities to engage in joint attention across the two settings.

There is considerable need for future research to move toward more structured experimental manipulations, with an aim toward narrowing the range of possible explanations for potential temperament-language relationships. The extant literature linking temperament to both language and joint attention has been almost exclusively correlational in nature, locking temperament→language and temperament→joint attention into heuristic rather than causal models with limited supporting data. Controlled laboratory studies in which children with varying types of temperament are taught novel words in the laboratory under conditions which should theoretically tap into those dimensions of temperament, would be especially useful. For example, in an adjunct of the hypothetical study just described, children high in fear and low in frustration could be randomly assigned to learn novel words under fear-provoking, frustration-inducing, or neutral conditions. The performance of these children could then be compared to children high in frustration and low in fear who were exposed to the same three conditions. If specific aspects of negative affect played a causal role in vocabulary acquisition, consistent with a direct route of temperament to language influence, then high-fear children should perform most poorly in fearproducing conditions whereas high-frustration children should perform most poorly in frustration-inducing conditions.

Perhaps only through experimental manipulations such as these will the field move beyond a simple correlational level of understanding to one that has practical applications for children’s everyday lives. Indeed, a thorough understanding of temperament-joint attention-language relationships will likely emerge only as a result of the efforts of multiple labs employing multimethod, multi-age, and multi-domain procedures in the name of establishing convergent validity to account for temperament-language relationships and their relationship to joint attention.

Acknowledgments

This work was supported by NIH/NICHD Grant HD043865 to the second author. Portions of these data were previously presented at the 2005 Meetings of the Society for Research in Child Development, Atlanta, GA. This project was completed in partial fulfillment of the requirements for the Master of Arts degree of the first author at East Tennessee State University. Thanks go to Andy Acuff, Stacy Barner, Michael Childress, Fran Chumney, Sonia Coney, Rima Gemayel, James Gorniewicz, Julia Hammons, Matt Lazenka, Sara Loudermilk, Nelly Ostrovsky, Rebecca Stanley, Nicole Stephens, and Josh Woodson for their help in data collection and analysis. Special thanks go to the parents and children who helped make this study possible.

Contributor Information

Brenda J. Salley, Department of Psychology, Virginia Polytechnic Institute and State University

Wallace E. Dixon, Jr., Department of Psychology, East Tennessee State University

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