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Both school achievement goals (mastery, performance approach, performance avoidance goals) and well-being goals (work avoidance, affiliation goals) are important predictors of learning and achievement related outcomes. However, disagreement exists regarding the definition of goals as relatively stable traits versus situational states that react sensitive to contexts. This paper presents the development of an inventory for the assessment of students’ multiple state and trait goals. In Study 1, students (N = 196) answered the trait items. The results of an exploratory factor analysis indicated the construct validity of the goals. In Study 2, students completed trait and state scales in different weeks (N = 542) and repeatedly after 12 weeks each. Confirmatory factor analyses as well as correlations with state and trait reference constructs confirmed the convergent and differential validity of both the trait and the state goal factors. The instrument offers a brief, reliable, and valid measure of multiple state and trait goals. Latent state trait analyses revealed that some state goals are surprisingly robust against situational influences and equally stable across time as corresponding trait goals, whereas other goals are more dependent on the learning situation.

Prior research has documented negative, concurrent relations between internalizing symptomatology and academic achievement among adolescents. The present study provided the first rigorous, longitudinal examination of the bi-directional, prospective relations between adolescent internalizing symptomatology and academic achievement. One hundred and thirty adolescents reported depression and anxiety annually from 6th through 10th grades, and GPA records were obtained annually from schools. Results showed that (a) high depression and anxiety at the beginning of a school year predicted lower GPA during that school year, and (b) low GPA in any school year predicted higher depression and anxiety at the beginning of the following school year. These findings underscore the tight link between adolescent internalizing symptomatology and academic achievement.

Math and science textbook chapters invariably supply students with sets of problems to solve, but this widely used approach is not optimal for learning; instead, more effective learning can be achieved when many problems to solve are replaced with correct and incorrect worked examples for students to study and explain. In the present study, the worked example approach is implemented and rigorously tested in the natural context of a functioning course. In Experiment 1, a randomized controlled study in ethnically diverse Algebra classrooms demonstrates that embedded worked examples can improve student achievement. In Experiment 2, a larger randomized controlled study demonstrated that improvement in posttest scores as a result of the assignments varies based on students’ prior knowledge; students with low prior knowledge tend to improve more than higher knowledge peers.

In the present research, we conducted two studies designed to examine the joint influence of avoidance temperament and avoidance-based achievement goals on the experience of flow on a creativity task. In both a laboratory study (N = 101; Mage = 22.61, SDage = 4.03; 74.3% female) and a naturalistic study (N = 102; Mage = 16.23, SDage = 1.13; 48% female), participants high in avoidance temperament were shown to experience greater flow when performance-avoidance goals were induced; no differences were found in any of the other three achievement goal conditions from the 2 × 2 achievement goal framework. These findings reveal a short-term benefit for a disposition-goal match grounded in avoidance motivation, and point to the need for more research on both avoidance-based matches and the short-term versus long-term implications of such matches.

In their examination of the effectiveness of affect regulation strategies, Webb, Miles, and Sheeran (2012) offered the results of a broad meta-analysis of studies on regulatory interventions. Their analysis provides an alternative to our earlier, more focused meta-analysis of the affect regulation literature (Augustine & Hemenover, 2009). Unfortunately, there are a number of errors and omissions in this new meta-analysis that could lead to misconceptions regarding both our previous work and the state of the affect regulation literature. In this comment, we examine the impact of methodological issues, inconsistent inclusion criteria, variance in manipulations, and what we perceive to be a subjective and inconsistent selection of effect sizes on the accuracy and generalizability of Webb and colleagues' estimates of affect regulation strategy effectiveness.

Affective primes may impact ensuing behavior through condition and person effects. However, previous research has not experimentally disentangled these two sources of influence in affective priming paradigms. In the current research, we simultaneously examine the influence of condition factors, in terms of prime valence, and person factors, in terms of affect reactivity and personality. In both studies, undergraduate participants (total N = 174) were primed with either positive or negative affective stimuli (words, Study 1; pictures, Study 2) prior to judging the likability of a neutral target (Arabic characters, Study 1; inkblots, Study 2). Although we did observe between-condition differences for positive and negative primes, person-level effects were more consistent predictors of target ratings. Affect reactivity (affect Time 2, controlling Time 1) to the primes predicted evaluative judgments, even in the absence of condition effects. In addition, the personality traits of Neuroticism (Study 1) and behavioral inhibition system sensitivity (Study 2) predicted evaluative judgments of neutral targets following negative affective primes. With effects for condition, affect reactivity, and personality, our results suggest that affective primes influence ensuing behaviors through both informational and affective means. Research using affective priming methodologies should take into account both condition and person-level effects.

Although several definitions exist, a personality trait can be defined as the average or expected value of personality-relevant behaviors. However, recent evidence suggests that, while trait questionnaires and aggregated momentary assessments of personality are highly related, they may also differ in meaningful ways. In this study, we examine the relationship between trait and mean state personality. Results indicate that these two assessment strategies, although highly related, do not show convergence (r = .39–.64) levels that would signify an equity of constructs. In line with this, these two assessment strategies show differential predictive utility. Although the pattern of this differential predictive utility suggests that measurement error may account for differences, the difference between trait and mean state personality predicts affect in a manner consistent with self-discrepancy theory. Thus, although these two constructs are highly related, the differences between trait and mean state personality are meaningful.

Symmetry on bilateral body parts indicates evolutionary fitness. Thus, traits positively associated with symmetry are thought to have conferred fitness in evolutionary history. Studies of the relationships between personality traits and symmetry have been narrow and have produced inconsistent findings. In our study, we relate both body symmetry and facial symmetry to 203 personality variables and to the Big Five. Our results demonstrate that (a) symmetry is related to personality traits beyond chance, (b) socially aversive traits, such as aggression and Neuroticism are positively related to symmetry, and (c) pro-social traits such as empathy and Agreeableness are negatively related to symmetry. Such trait levels may developmentally adjust in response to symmetry or may be inherited with symmetry (i.e., dual inheritance).

Previous research has largely focused on the influence of experienced affect on decision making; however, other sources of affective information may also shape decisions. In two studies, we examine the interacting influences of affective information, state affect, and personality on temporal discounting rates (i.e., the tendency to choose small rewards today rather than larger rewards in the future). In Study 1, participants were primed with either positive or negative affect adjectives before making reward choices. In Study 2, participants underwent either a positive or negative affect induction before making reward choices. Results in both studies indicate that neuroticism interacts with state unpleasant affect and condition (i.e., positive or negative primes or induction) to predict discounting rates. Moreover, the nature of the interactions depends on the regulatory cues of the affective information available. These results suggest that irrelevant (i.e., primes) and stable (i.e., personality traits) sources of affective information also shape judgments and decision making. Thus, current affect levels are not the only source of affective information that guides individuals when making decisions.

Using longitudinal and experience sampling designs, the consistency and composition, and personality and motivational predictors, of the desired affective state are explored. Findings indicate that, while the desired affect is relatively malleable throughout one semester, it is relatively stable throughout 1 week. Personality and motivations/goals were related to the content of the desired affective state. Extraversion, neuroticism, agreeableness, and conscientiousness were related to the content of the desired affective state. In addition, higher-order goals predicted the content of the desired affective state. Our results suggest that the content of the desired affective state may be largely dependent on personality, motivation, and, potentially, an interaction between personality and motivation.

Emotions change over time. A comprehensive understanding of emotions will require that their temporal nature be observed and analysed. By observing emotion over time, one can disentangle and simultaneously analyse temporal variability within individuals and between-individual variability using a two-step process approach. First, within-person temporal patterns (e.g., covariation, lead–lag relation, periodicity, etc.) are assessed for each subject. Second, between-person analyses are conducted on the within-person patterns. These two steps can be done simultaneously with hierarchical linear models (HLM) or in two actual steps with the process approach. HLM is limited to the intra-individual analysis of linear patterns (e.g., slope, intercept), whereas the process approach can be used to examine non-linear aspects of intra-individual change, such as multivariate patterns, within-subject skew, or phase relations between oscillating processes. In this paper we provide a description of the process approach and...

To examine the effectiveness of various affect regulation strategies and categories of affect regulation strategies, a meta-analysis was conducted. Results generally indicate that reappraisal (d=0.65) and distraction (d=0.46 for all studies; d=0.95 for studies with a negative or no affect induction) are the most effective regulation/repair strategies, producing the largest hedonic shift in affect. The effectiveness of different categories of regulation/repair strategies depended on the valence of the preceding affect induction. Results also indicate that stronger affect inductions and the use of bivariate affect measures will provide a richer understanding of affect regulation. Additionally, not all specific strategies or categories of strategies have been researched and the impact of individual differences on affect regulation has received relatively little attention. Finally, results indicate that control conditions in affect regulation research may not provide a valid point for comparison, as they faci...

This study explores the interaction of extraversion and social interaction on affect repair. Following a negative affect induction, participants engaged in a neutral discussion task alone or in the presence of a pleasant and supportive confederate. Results reveal that extraversion predicted affect repair in the solitary condition with extraverts (vs. introverts) experiencing a greater enhancement of positive affect. In the social condition, extraversion did not predict repair; all individuals benefited from the interaction. Thus, when alone, introverts demonstrated a maladaptive affect repair profile that was abated in the presence of a supportive individual. Other results reveal that the social condition produced the largest affect repair. These findings suggest that, while extraverts exhibit more effective affect repair when alone, pleasant interaction facilitates affect repair for all individuals (even introverts).

Affective primes may impact ensuing behavior through condition and person effects. However, previous research has not experimentally disentangled these two sources of influence in affective priming paradigms. In the current research, we simultaneously examine the influence of condition factors, in terms of prime valence, and person factors, in terms of affect reactivity and personality. In both studies, undergraduate participants (total N = 174) were primed with either positive or negative affective stimuli (words, Study 1; pictures, Study 2) prior to judging the likability of a neutral target (Arabic characters, Study 1; inkblots, Study 2). Although we did observe between-condition differences for positive and negative primes, person-level effects were more consistent predictors of target ratings. Affect reactivity (affect Time 2, controlling Time 1) to the primes predicted evaluative judgments, even in the absence of condition effects. In addition, the personality traits of Neuroticism (Study 1) and behavioral inhibition system sensitivity (Study 2) predicted evaluative judgments of neutral targets following negative affective primes. With effects for condition, affect reactivity, and personality, our results suggest that affective primes influence ensuing behaviors through both informational and affective means. Research using affective priming methodologies should take into account both condition and person-level effects.

The social compensation hypothesis states that the internet primarily benefits individuals who feel uncomfortable communicating face-to-face. In the current research, we tested whether individuals higher in social anxiety use the internet as a compensatory social medium, and whether such use is associated with greater well-being. In Study 1, individuals higher in social anxiety reported greater feelings of comfort and self-disclosure when socializing online than less socially anxious individuals, but reported less self-disclosure when communicating face-to-face. However, in Study 2, social anxiety was associated with lower quality of life and higher depression most strongly for individuals who communicated frequently online. Our results suggest that, whereas social anxiety may be associated with using the internet as an alternative to face-to-face communication, such a strategy may result in poorer well-being.

The human tendency to use positive words (“adorable”) more often than negative words (“dreadful”) is called the linguistic positivity bias. We find evidence for this bias in two studies of word use, one based on written corpora and another based on naturalistic speech samples. In addition, we demonstrate that the positivity bias applies to nouns and verbs as well as adjectives. We also show that it is found to the same degree in written as well as spoken English. Moreover, personality traits and gender moderate the effect, such that persons high on extraversion and agreeableness and women display a larger positivity bias in naturalistic speech. Results are discussed in terms of how the linguistic positivity bias may serve as a mechanism for social facilitation. People, in general, and some people more than others, tend to talk about the brighter side of life.

The extant literature implicates affect repair ability as one source of individual differences in negative affect. Emerging from this literature are three regulatory traits that should predict repair ability (negative mood regulation expectancies, monitoring, labeling), yet no experimental examination of this possibility exists. Two studies explored this issue. Participants (Ns = 305, 146) watched negative affect-inducing videos and completed a repair or control writing task, before and after which they reported their affect. Results revealed wide individual differences in repair ability. Specifically, participants with high expectancies of repair success and those who attend to and understand their affect experienced the largest decreases in negative affect and largest increases in positive affect following the repair tasks. These findings advance understanding of individual differences in affect regulation and have implications for future research.

Numerous findings suggest that personality is linked to the incidence and experience of negative health outcomes. More specifically, trait negative affect is negatively related to a number of health outcomes. The current study expands our understanding of the link between personality and disease by examining the time course for lung cancer onset. In a sample of patients who had recently undergone surgical resection for lung cancer, a variety of negative affect related personality variables were assessed to determine their relationship with age at surgery. After controlling for smoking behavior, it was found that trait negative affect was associated with time course for lung cancer onset, such that those with higher (vs. lower) levels of trait negative affect manifested lung cancer earlier in their lives. Thus, trait negative affect represents an independent risk factor among those prone to lung cancer (i.e., smokers).

The structure of affect regulation using the Measure of Affect Regulation Styles (MARS) was examined in samples of College Students ( N = 565, M = 20 years) and older adults ( N = 135, M = 67 years). Based on factor analysis and on Parkinson and Totterdell’s theoretical framework six affect regulation scales were constructed (reliability range 0.75–0.51; test–retest after 1 year on adult sample ( N = 36) range 0.77–0.42). Age and gender analysis showed that cognitive distraction was used more by older, while affect directed, disengagement, and avoidance strategies were used by the younger group. Females used more affect-directed strategies, while males used disengagement strategies. Associations between personality and regulation strategies were examined separately in age groups. Younger extraverts use more behavioral distraction and less avoidance strategies, while older consciousness people use more situation-focus and less disengagement strategies. Analyses of predictive validity in wellbeing revealed that life satisfaction was best predicted positively by cognitive distraction and negatively by avoidance strategies.