Are there aspects of affect that can be generalized across different languages? Are there consistent patterns of associations between self-reported affect and personality across groups speaking different languages? In the present dissertation, I explore these two questions in five different language samples. Studies of current self-reported affect in English suggest that Russell's (1980), Thayer's (1989), Larsen and Diener's (1992), and Watson and Tellegen's (1985) models of affect variables can be integrated and summarized by a two-dimensional space defined by Pleasant vs Unpleasant and Activated vs Deactivated axes. To assess the cross-language generalizability of this integrated structure, data on translations of the English affect scales (N for Spanish = 233, N for Chinese = 487, N for Japanese = 450, N for Korean = 365) were compared with the structure in English ON = 535). Systematic and random errors were controlled through multi-format measurements (Green, Goldman, & Salovey, 1993) and structural equation modeling. Individual measurement models as defined in English received support in all five languages, although revisions of these scales in non-English samples provided an even closer approximation to the two-dimensional structure in English. In all five languages, the two dimensions explained most, but not all, of the reliable variance in other affect variables (mean = 88%). The four structural models fit comfortably within the integrated two-dimensional space. In fact, the variables fell at different angles on the integrated space, suggesting a new circumplex structure. In prior studies conducted in English, the personality traits of Neuroticism and Extraversion were most predictive of affect and they aligned with the Pleasant Activated and Unpleasant Activated states. To clarify and extend the previous findings, participants in all five samples also completed NEO FFI (Costa & McCrae, 1992), a measure for the Five Factor Model of personality (FFM). Again, Neuroticism and Extraversion were most predictive of affect, accounting for, on average, 10% of the variance. The remaining three factors of the FFM contributed, on average, 2%. In all five languages, the FFM dimensions did not align with the two predicted affective dimensions. Rather, they fell all around the upper half of the twodimensional space.

Since the 1950's, researchers have sought unsuccessfully to identify a consensual psychometric structure of self-reported affect. One unresolved question, central to any psychometric model, is whether the structure includes bipolar or unipolar dimensions. For example, are positive and negative affect two ends of the same bipolar dimension or are they better represented by separable unipolar dimensions? In contrast to what has been assumed in previous analyses, a bipolar model is presented that distinguishes between two forms of bipolarity, each with its own conceptual definition, operational definition, and statistical properties. It is shown both conceptually and empirically that the two forms of bipolarity lead to different results when examined by traditional psychometric methods such as exploratory factor analysis, confirmatory factor analysis, and the linear correlation. Furthermore, when the bipolar model is applied to previous analyses, the psychometric evidence that has suggested unipolar dimensions can be interpreted as evidence suggesting bipolar dimensions. Two studies were conducted to examine specific predictions of the bipolar model. Study 1 examined judgements of the hypothesized opposites of hot-cold and happy-sad. Study 2 examined judgments of affect terms based on a circumplex model of affect characterized by orthogonal valence and activation dimensions. In both studies the bipolar model is strongly supported. Furthermore, the analyses highlighted specific problems with current methods that emphasize sophisticated techniques based on the correlation coefficient and demonstrated the utility of more simple descriptive statistics.

Are there aspects of affect that can be generalized across different languages? Are there consistent patterns of associations between self-reported affect and personality across groups speaking different languages? In the present dissertation, I explore these two questions in five different language samples. Studies of current self-reported affect in English suggest that Russell's (1980), Thayer's (1989), Larsen and Diener's (1992), and Watson and Tellegen's (1985) models of affect variables can be integrated and summarized by a two-dimensional space defined by Pleasant vs Unpleasant and Activated vs Deactivated axes. To assess the cross-language generalizability of this integrated structure, data on translations of the English affect scales (N for Spanish = 233, N for Chinese = 487, N for Japanese = 450, N for Korean = 365) were compared with the structure in English ON = 535). Systematic and random errors were controlled through multi-format measurements (Green, Goldman, & Salovey, 1993) and structural equation modeling. Individual measurement models as defined in English received support in all five languages, although revisions of these scales in non-English samples provided an even closer approximation to the two-dimensional structure in English. In all five languages, the two dimensions explained most, but not all, of the reliable variance in other affect variables (mean = 88%). The four structural models fit comfortably within the integrated two-dimensional space. In fact, the variables fell at different angles on the integrated space, suggesting a new circumplex structure. In prior studies conducted in English, the personality traits of Neuroticism and Extraversion were most predictive of affect and they aligned with the Pleasant Activated and Unpleasant Activated states. To clarify and extend the previous findings, participants in all five samples also completed NEO FFI (Costa & McCrae, 1992), a measure for the Five Factor Model of personality (FFM). Again, Neuroticism and Extraversion were most predictive of affect, accounting for, on average, 10% of the variance. The remaining three factors of the FFM contributed, on average, 2%. In all five languages, the FFM dimensions did not align with the two predicted affective dimensions. Rather, they fell all around the upper half of the twodimensional space. / Arts, Faculty of / Psychology, Department of / Graduate

Since the 1950's, researchers have sought unsuccessfully to identify a consensual psychometric structure of self-reported affect. One unresolved question, central to any psychometric model, is whether the structure includes bipolar or unipolar dimensions. For example, are positive and negative affect two ends of the same bipolar dimension or are they better represented by separable unipolar dimensions? In contrast to what has been assumed in previous analyses, a bipolar model is presented that distinguishes between two forms of bipolarity, each with its own conceptual definition, operational definition, and statistical properties. It is shown both conceptually and empirically that the two forms of bipolarity lead to different results when examined by traditional psychometric methods such as exploratory factor analysis, confirmatory factor analysis, and the linear correlation. Furthermore, when the bipolar model is applied to previous analyses, the psychometric evidence that has suggested unipolar dimensions can be interpreted as evidence suggesting bipolar dimensions. Two studies were conducted to examine specific predictions of the bipolar model. Study 1 examined judgements of the hypothesized opposites of hot-cold and happy-sad. Study 2 examined judgments of affect terms based on a circumplex model of affect characterized by orthogonal valence and activation dimensions. In both studies the bipolar model is strongly supported. Furthermore, the analyses highlighted specific problems with current methods that emphasize sophisticated techniques based on the correlation coefficient and demonstrated the utility of more simple descriptive statistics. / Arts, Faculty of / Psychology, Department of / Graduate

While the cognitive disturbances that frequently follow severe TBI are relatively well understood, the ways in which these affect the psychosocial functioning of people with TBI are yet to be determined and have thus received little attention in treatment research. Growing evidence indicates that that a significant proportion of individuals with TBI demonstrate deficits in the perception of affective information from the face, voice, bodily movement and posture. As accurate evaluation of emotion in others is critical for the successful negotiation of social interactions, effective treatments are necessary. Until recently, however, there have been no rehabilitation efforts in this area with TBI groups. The present research aims to redress this absence. The literature on emotion perception deficits in TBI is examined, and a theoretical rationale for intervention is presented. Several lines of research are reviewed which suggest that rehabilitation targeting such deficits is tenable. These include research on emotion perception remediation with other cognitively impaired populations, findings from cognitive neuroscience suggesting the potential for neuronal restoration after brain damage, and the successful applications of remediation techniques, in particular errorless learning and self-instruction, for treating other cognitive deficits in a range of neurological disorders and TBI. Discussion of this research is followed by a description of two randomised controlled trials aimed at improving emotion perception in individuals with TBI. The findings are discussed with reference to useful theoretical models of rehabilitation, learning and emotion perception. Suggestions for future directions of research are outlined together with relevant design issues.

While the cognitive disturbances that frequently follow severe TBI are relatively well understood, the ways in which these affect the psychosocial functioning of people with TBI are yet to be determined and have thus received little attention in treatment research. Growing evidence indicates that that a significant proportion of individuals with TBI demonstrate deficits in the perception of affective information from the face, voice, bodily movement and posture. As accurate evaluation of emotion in others is critical for the successful negotiation of social interactions, effective treatments are necessary. Until recently, however, there have been no rehabilitation efforts in this area with TBI groups. The present research aims to redress this absence. The literature on emotion perception deficits in TBI is examined, and a theoretical rationale for intervention is presented. Several lines of research are reviewed which suggest that rehabilitation targeting such deficits is tenable. These include research on emotion perception remediation with other cognitively impaired populations, findings from cognitive neuroscience suggesting the potential for neuronal restoration after brain damage, and the successful applications of remediation techniques, in particular errorless learning and self-instruction, for treating other cognitive deficits in a range of neurological disorders and TBI. Discussion of this research is followed by a description of two randomised controlled trials aimed at improving emotion perception in individuals with TBI. The findings are discussed with reference to useful theoretical models of rehabilitation, learning and emotion perception. Suggestions for future directions of research are outlined together with relevant design issues.