Finding what is alike among the personalities of creative people has been a dream of many researchers. No single personality type has been discovered as prototypical, yet the promise of common attributes among creative people remains enticing. This study examines one of these promising characteristics - Openness to Experience, a personality factor from the Five-Factor Model. This factor has been shown to correlate positively with creativity in past studies. In the present study this relationship was partially confirmed in a sample of employees whose jobs require technical problem solving, by correlating the employees self-rated Work-specific Openness to Experience and NEO PI-R Openness with supervisory ratings of their creative work performance. The Work-specific Openness scale demonstrated a significant correlation with supervisory ratings of creativity, whereas the NEO PI-R Openness scale did not. Although none of the NEO PI-R facets were significant predictors of criterion, four Work-specific facets were significant predictors based on zero order correlations. These facets are Openness to Ideas, Fantasy, Values, and Actions. However, although individual facets of Openness were expected to differ in validity, the magnitude of their correlations with creative performance scores did not differ significantly. Convincing results showing incremental validity of the Work-specific scale over the NEO PI-R scale are also discussed.

The focus of this dissertation is exploring personality factors that impact performance within a small insurance agency. The primary research question is, what is (or are) the best personality factor(s), sub-facets, or constructs, that contribute to increased performance within an insurance agency. Three of the Five-Factor Model dimensions, extroversion, conscientiousness, and openness to experience along with grit and hardiness were examined, as well as their sub-facets. Grit and hardiness were not found to add additional explanation of the variance while five of the sub-facets were found to better explain the variance over the composite dimensions.

For decades, there has been substantial research showing that ability tests effectively predict what people can do, but it is only in the last fifteen years that it has come to be generally accepted that personality is a useful predictor of what they will do. Much of this change in appreciation of the role of personality in predicting performance has been attributed to the application of the Five-Factor Model (FFM) of personality to personality-performance research. The FFM was developed on the basis of the lexical hypothesis, which states that it is advantageous for people to be able to accurately describe the behaviour of others, and therefore the most important dimensions of personality will be encoded in natural languages. An associated premise is that natural language descriptors refer to an individual's surface appearance or reputation (i.e., their observable behaviours), rather than the underlying processes or genotype of personality (i.e., people's cognitive and affective processing). This reasoning was used as the basis for most of the factor-analytical studies of personality descriptors within the English language, and one of the most robust factor solutions was the FFM. The FFM contains the personality dimensions Extraversion, Agreeableness, Conscientiousness, Openness to Experience and Emotional Stability. Although the FFM continues to evolve, particularly in response to cross-cultural research, the five basic dimensions appear to be remarkably consistent, and at least the core of each of these has been identified in the first six or seven factors found in every language considered to date. Of the five factors, Conscientiousness has been the one most reliably associated with workplace performance. Workplace performance itself has undergone a major reconsideration over the last fifteen to twenty years. Prior to that time, formal job roles and responsibilities were typically considered the start and finish of performance, but formal job requirements are now recognised as only one aspect of performance, which is increasingly referred to as Task Performance. Task Performance tends to change substantially from job to job, but there are other aspects of job performance, most notably Citizenship Performance, which appear to be consistent in most jobs. Citizenship Performance includes activities undertaken by an employee which facilitate Task Performance, such as making greater effort, complying with rules and procedures, and assisting others. Whereas Task Performance appears to be closely related to an individual's abilities, Citizenship Performance was originally proposed as an aspect of performance which is influenced by attitudinal and personality variables. Thus it has been proposed that Citizenship Performance largely mediates the relationship between personality variables, such as Conscientiousness, and Task Performance. However, this predictors of performance model has previously only been investigated in workplace settings. Yet performance is a relevant construct not only within workplace settings, but also within academic settings. In addition, the FFM dimension of Conscientiousness has been observed to be a reliable predictor of academic performance, just as it is a reliable predictor of workplace performance. Within educational settings, performance is typically tied to assessment measures, such as marks and GPA, which appear to measure academic Task Performance. However, no previous research appears to have considered whether Citizenship Performance mediates the relationship between Conscientiousness and Task Performance within an academic setting. Study One of this dissertation was designed to test this proposition. Participants in this study were 175 students enrolled within an introductory management subject. Participants provided assessments of their own personality using the Mini-Markers (Saucier, 1994), while Citizenship Performance ratings were provided by students' peers, at the end of a three-week group project. The hand-scored version of the Computerised Adaptive Rating Scales (CARS: Borman, 1999; Coleman & Borman, 2000) was used to assess Citizenship, but unfortunately the three scales of the CARS did not demonstrate good internal reliability. Consequently, a factor analysis was conducted to establish a new scale using the CARS items. This new scale, which was labelled Active Support, used six of the twelve CARS items and had satisfactory internal reliability. It was observed that the resulting scores on this Citizenship Performance scale were positively correlated with both Conscientiousness and academic Task Performance (as measured by grades). As predicted, Citizenship Performance entirely mediated the relationship between Conscientiousness and academic Task Performance. Therefore, the results of Study One were consistent with the predictors of performance model. It was concluded that Citizenship Performance is an important component of performance within academic settings, just as it is within workplace settings. Despite the fact that the relationship between both workplace and academic performance, and Conscientiousness, is reliable and well-established, correlations between Conscientiousness and performance tend to be moderate at best. Previous research has observed that other-rated measures of Conscientiousness have higher correlations with academic performance than do self-rated measures. Consequently, Study Two explored whether other-rated Conscientiousness improved the prediction of academic Citizenship and Task Performance, using a similar design to that utilised in Study One. One hundred and twenty-two students participated in Study Two while undertaking the same course as the students who had participated in Study One. Most of the results of Study Two were consistent with expectations, but there were some unexpected outcomes. Other-rated Conscientiousness was found to be a significantly better predictor of both academic Task and Citizenship Performance than was self-rated Conscientiousness. However, contrary to previous ideas, the relationship between other-rated Conscientiousness and Task Performance was not mediated by Citizenship Performance. In contrast, it was observed that the correlation between other-rated Conscientiousness and other-rated Citizenship Performance was .61 if both ratings were obtained from the same raters, and .44 if the two ratings were obtained from independent raters. When corrected for measurement unreliability, these estimates approached unity, which is consistent with the idea that, for the other-raters, Conscientiousness and Citizenship Performance were measuring the same construct. However, this study had several limitations, including its small sample size, the use of an unusual measure for Citizenship Performance, and the fact that it had been conducted in an academic setting. Therefore, there was a need to replicate Study Two before accepting that Conscientiousness and Citizenship Performance are actually much more strongly associated than previous research has indicated. In order to replicate Study Two, while addressing some of its limitations, a third study was conducted within a workplace setting. In Study Three, general staff supervisors within a public university were asked to rate their staff on measures of both personality and Citizenship Performance. In addition to Active Support, the measure used in Studies One and Two, two additional measures were included, which assessed the aspects of Citizenship Performance referred to as Individual Initiative and Helping Behaviour. The FFM dimension of Agreeableness was also added, because previous research indicates that, while Conscientiousness may be a better predictor of Individual Initiative, Helping Behaviour should be more closely associated with the FFM dimension of Agreeableness. However, using multiple ratings derived from the same raters can create common method bias in correlations, and so, in line with previous recommendations (Podsakoff, MacKenzie, Lee, & Podsakoff, 2003), Structural Equation Modelling (SEM) was used to control for this. The resulting correlations confirmed that there were strong relationships between the measures of Citizenship Performance and personality. Helping Behaviour had a strong relationship with supervisor-rated Agreeableness (.81), while Individual Initiative was significantly correlated with supervisor-rated Agreeableness (.44) and supervisor-rated Conscientiousness (.32). Active Support had strong correlations with these measures of personality (.57 and .55 respectively). The results of Study Three indicate that, for the participating supervisors, the Helping Behaviour dimension of Citizenship Performance is largely the same as the Agreeableness dimension of personality. Unlike Study Two, Active Support appeared to be not so closely associated with Conscientiousness, but instead seemed to occupy a position halfway between other-rated Conscientiousness and other-rated Agreeableness. Individual Initiative occupies a similar position, but is not so closely linked to these other-rated personality variables. Although these results suggest that, when compared with the students in Study Two, the supervisors in Study Three had a slightly different view of Active Support, it remains clear that much or most of the variance in each of these measures of Citizenship Performance is accounted for by these other-rated measures of personality. In order to understand why the strength of the relationship between the other-rated personality dimensions of Conscientiousness and Agreeableness, and the performance construct of Citizenship Performance, has been overlooked by previous researchers, it was necessary to reconsider the basic reasons for disagreement in ratings. Agreement between raters tends to vary considerably, depending on who is rating whom. Self-other agreement on ratings is typically modest, other-other agreement tends to be higher, but alternate-form and test-retest agreement are typically higher still. The reasons for this appear to be related to the extent to which ratings are produced using similar observations, and integrating these in similar ways, as well as the extent to which ratings are affected by specific aspects of individual rater-ratee relationships. Previous research has provided estimates for these effects which can be used to correct correlations for resulting biases. When these are applied to correlations between ratings of measures, such as performance or personality, which are provided by different other-raters, these correlations approximate unity. This includes the correlations, reported in this dissertation, between other-rated personality and other-rated Citizenship Performance. In conclusion, the results of the research reported in this dissertation are consistent with the idea that measures of Citizenship Performance are largely accounted for by other-rated measures of Conscientiousness and Agreeableness. It is argued that this conclusion is consistent with the lexical hypothesis which underlay the development of the FFM, as well as with the theoretical basis for the construct of performance. The dissertation concludes with a discussion of the implications of this conclusion, for a range of fields, including understanding the relationship between personality and performance, methodological consequences for future research, and practical implications for staff selection and performance appraisal systems.

The explanatory power of six asset-pricing models are tested and compared in this study. The models include the four known asset pricing models: the CAPM, the Fama and French's (1996) Three-Factor model, the Carhart's (1997)'s Four-Factor model, a model similar to Zepeda's (1999) Five-Factor model. Additionally, it includes two new models - the Five-Factor-Volume (5F-V) model and the Six-Factor model, which are developed in line with Ross's (1976) Arbitrage Pricing Theory.

<p>Personlighet och dess betydelse för beteende har under lång tid varit ett lika aktuellt som välundersökt forskningsområde. Denna studie syftar undersöka sambandet mellan personlighetsdrag enligt Five Factor Model och musikpreferenser i en svensk population. Resultaten förväntas ligga i linje med tidigare studiers, vilka funnit vissa positiva samband bl. a. mellan Extraversion och konventionell musik samt Öppenhet för erfarenheter och traditionell, komplex musik. Deltagarna (107) svarade på ett webbaserat formulär avsett att mäta musikpreferenser    och    personlighetsdrag.    Musikpreferenstestet utgjordes av 22 genrer varav 20 ingick i en analys resulterandes i sex musikdimensioner. Resultaten visade bl.a. att Öppenhet för erfarenheter    korrelerade    positivt    med    musikdimensionerna Amerikansk traditionell och Europeisk traditionell och Extraversion korrelerade positivt med Konventionell musik. Vidare fanns även könsskillnader vad gällde musikpreferenser. Resultaten följde tidigare forskning trots vissa metodologiska skillnader, vilket ger ytterligare tyngd åt kopplingen mellan musikpreferenser och personlighetsdrag.</p>

In spectral analysis of high dimensional multivariate time series, it is crucial to obtain an estimate of the spectrum that is both numerically well conditioned and precise. The conventional approach is to construct a nonparametric estimator by smoothing locally over the periodogram matrices at neighboring Fourier frequencies. Despite being consistent and asymptotically unbiased, these estimators are often ill-conditioned. This is because a kernel smoothed periodogram is a weighted sum over the local neighborhood of periodogram matrices, which are each of rank one. When treating high dimensional time series, the result is a bad ratio between the smoothing span, which is the effective local sample size of the estimator, and dimension. In classification, clustering and discrimination, and in the analysis of non-stationary time series, this is a severe problem, because inverting an estimate of the spectrum is unavoidable in these contexts. Areas of application like neuropsychology, seismology and econometrics are affected by this theoretical problem. We propose a new class of nonparametric estimators that have the appealing properties of simultaneously having smaller L2-risk than the smoothed periodogram and being numerically more stable due to a smaller condition number. These estimators are obtained as convex combinations of the averaged periodogram and a shrinkage target. The choice of shrinkage target depends on the availability of prior knowledge on the cross dimensional structure of the data. In the absence of any information, we show that a multiple of the identity matrix is the best choice. By shrinking towards identity, we trade the asymptotic unbiasedness of the averaged periodogram for a smaller mean-squared error. Moreover, the eigenvalues of this shrinkage estimator are closer to the eigenvalues of the real spectrum, rendering it numerically more stable and thus more appropriate for use in classification. These results are derived under a rigorous general asymptotic framework that allows for the dimension p to grow with the length of the time series T. Under this framework, the averaged periodogram even ceases to be consistent and has asymptotically almost surely higher L2-risk than our shrinkage estimator. Moreover, we show that it is possible to incorporate background knowledge on the cross dimensional structure of the data in the shrinkage targets. We derive an exemplary instance of a custom-tailored shrinkage target in the form of a one factor model. This offers a new answer to problems of model choice: instead of relying on information criteria such as AIC or BIC for choosing the order of a model, the minimum order model can be used as a shrinkage target and combined with a non-parametric estimator of the spectrum, in our case the averaged periodogram. Comprehensive Monte Carlo studies we perform show the overwhelming gain in terms of L2-risk of our shrinkage estimators, even for very small sample size. We also give an overview of regularization techniques that have been designed for iid data, such as ridge regression or sparse pca, and show the interconnections between them.

This thesis' main theme is successful principal leadership in secondary schools within the Swedish education system. Successful principal leadership is examined from three perspectives: What are the processes of a successful principal? Do the leadership processes relate to successful academic and social outcomes of schools? What are the prerequisites for successful principal leadership? The Frame Factor Model and the three concepts of prerequisites, processes and outcomes constitute an overarching framework. The prerequisites are categorized as internal prerequisites (the particular characteristics of individual principals) and external prerequisites operating within the Swedish educational environment. The successful principal processes are viewed as pedagogical leadership processes, on one hand as providing prerequisites for teaching and learning and, on the other hand as leading the core processes of teaching and learning. The definitions build on the empirical data, on the Swedish national curriculum and demands for pedagogical leadership, and on international findings on what successful principals do. The outcomes of successful principal leadership are here defined as the academic and the social outcomes of schools. The research undertaken is part of the research project 'Structure, Culture, Leadership - Prerequisites for Successful Schools?' The empirical data for this thesis are gathered in twenty-six Swedish secondary schools whereof five are regarded successful schools based on both academic and social outcomes. The findings, reported on in four articles, derive from interviews and questionnaires to principals and teachers. The principals in the main identify prerequisites of importance that are within their own realm of influence, such as themselves, teachers and school district level. They consider a limited area of responsibility and support from district level specialists as providing possibilities for their success. The principals accept the national governance of schools and principals via the national curriculum. The principals in the five successful schools however take a higher degree of responsibility for setting direction towards national goals, for processes inside schools and for school outcomes than do principals in less successful schools.They as pedagogical leaders attend to a higher degree both to providing prerequisites for teaching and learning and to leading the core processes of teaching and learning than do principals in less successful schools. In schools with a successful implementation of social goals, which shows as successful social outcomes, the principals, according to teachers, overall take responsibility for their national objectives and obligations to a higher degree than principals in schools with a less successful implementation of social goals. The implementation of social goals is of importance not only from an outcome perspective but also from a process perspective. It requires collaborative interpretation which can promote principal-staff professional relations and ultimately student learning. The identified overall differences between principals' leadership processes and processes in the twenty-six schools raise questions around consequences for equivalence in education. / Struktur, kultur, ledarskap- förutsättningar för framgångsrika skolor?

Personlighet och dess betydelse för beteende har under lång tid varit ett lika aktuellt som välundersökt forskningsområde. Denna studie syftar undersöka sambandet mellan personlighetsdrag enligt Five Factor Model och musikpreferenser i en svensk population. Resultaten förväntas ligga i linje med tidigare studiers, vilka funnit vissa positiva samband bl. a. mellan Extraversion och konventionell musik samt Öppenhet för erfarenheter och traditionell, komplex musik. Deltagarna (107) svarade på ett webbaserat formulär avsett att mäta musikpreferenser    och    personlighetsdrag.    Musikpreferenstestet utgjordes av 22 genrer varav 20 ingick i en analys resulterandes i sex musikdimensioner. Resultaten visade bl.a. att Öppenhet för erfarenheter    korrelerade    positivt    med    musikdimensionerna Amerikansk traditionell och Europeisk traditionell och Extraversion korrelerade positivt med Konventionell musik. Vidare fanns även könsskillnader vad gällde musikpreferenser. Resultaten följde tidigare forskning trots vissa metodologiska skillnader, vilket ger ytterligare tyngd åt kopplingen mellan musikpreferenser och personlighetsdrag.

Syfte: Syftet är att beskriva samband av revisorns bakomliggande psykologiska egenskapers påverkan vid värderingen av ett företags varumärke. Metod: Studien utgår ifrån en positivistisk vetenskapssyn där en kvantitativ ansats används. Teoretiskt perspektiv: Uppsatsens teoretiska kapitel utgår ifrån teorier om psykologiska variabler. De psykologiska variabler som i uppsatsen används är femfaktor-teorin samt riskbenägenhet. Empiri: Det empiriska materialet som används i denna studie är insamlat med hjälp av ett modellföretag samt en kompletterande enkät. Resultat: Studien i denna uppsats har visat att inga samband finns mellan revisorns psykologiska egenskaper samt dennes värdering av ett varumärke. Detta berör både faktorerna i femfaktor-teorin samt riskbenägenhet. Ett eventuellt samband finns mellan variablen agreeableness och varumärkesvärderingen,men då signifikans ej finns för hela modellen är det inget som statistiskt kan säkerställas. / Purpose: The purpose of this study is to describe the relationship of the auditor’s underlying psychological characteristics’ effect on the valuation of a brand. Methodology: This study applied a positivist concept of science with a quantitative research approach. Theory: The theoretical chapter is based on theories of psychological factors. The psychological factors in the essay is based on a five factor-model and risk preference. Empirical foundation: The empirical data used in this study was collected by a use of a model company and a supplemental questionnaire. Conclusions: The study in this paper has shown that no connection exists between the auditor's psychological characteristics, and his valuation of a brand. This affects both factors in fivefactor-theory and risk preference. A possible connection between the variable agreeableness and the value of the brand exists, but the significance was not present for the entire model, therefore it is not statistically ensured.

Most macroeconomic activity series such as Swedish GDP growth are collected quarterly while an important proportion of time series are recorded at a higher frequency. Thus, policy and business decision makers are often confront with the problems of forecasting and assessing current business and economy state via incomplete statistical data due to publication lags. In this paper, we survey a few general methods and examine different models for mixed frequency issues. We mainly compare mixed data sampling regression (MIDAS) and state space dynamic factor model (SS-DFM) by the comparison experiments forecasting Swedish GDP growth with various economic indicators. We find that single-indicator MIDAS is a wise choice when the explanatory variable is coincident with the target series; that an AR term enables MIDAS more promising since it considers autoregressive behaviour of the target series and makes the dynamic construction more flexible; that SS-DFM and M-MIDAS are the most outstanding models and M-MIDAS dominates undoubtedly at short horizons up to 6 months, whereas SS-DFM is more reliable at long predictive horizons. And finally we conclude that there is no perfect winner because each model can dominate in a special situation.