This was a correlation study exploring the relationships between scores on various dimensions within and across different exercises in the leadership assessment and development centre (LADC) of an auditing firm in Johannesburg. The study specifically aimed at investigating the discriminant and convergent validity of the LADC. LADC ratings collected from a sample of 138 were analysed using a Pearson Product Moment Correlation (r) and principal component analysis (PCA) was conducted to discover the main dimensions or constructs. Twenty one dimensions were measured using six different exercises in the LADC. The large correlations found in the study showed lack of discriminant validity amongst the majority of different dimensions measured in same exercises whilst, the PCA showed some convergent validity among various dimensions measured across exercises for the LADC. Lastly, the findings of the principal component analysis (PCA) supported a two-factor structure, indicating that assessors are able to differentiate between interpersonal and performance-related dimensions. / Industrial and Organisational Psychology / M.A. (Industrial and Organisational Psychology)

Title: Influence of selected conditional factors on performance in white water slalom. Aims: The aim of the study was to investigate the relationship of selected specific movement abilities being examined modified test battery with the performance of athletes in the water slalom. Methods: It was used field measurements where the applied modified test battery. Using GPS module to determine the distance partial tests from batery. For measuring was used manual measurement. To determine the statistical correlation between the modified battery and performance ability of competitors was used two different coefficients of correlation and regression analysis. According to the order of the test and the race was used nonparametric correlation study - Spearman correlation coefficient. Determining the statistical significance of the relationship of measured times in tests and final time in the nomination races have used the Pearson correlation coefficient. Results: For a statistically significant relationship was determined value when r ≥ 0.8. Spearman's correlation coefficient: In the test at 40 m were obtained these correlation coefficients: Nomination races rs = 0,380952, Czech cup rs = 0,595238. In the test at 80 meters they were obtained these correlation coefficients: nomination races rs = 0,857143,...

This thesis contributes to the burgeoning field of the history of sexuality in New Zealand and seeks to distill the more theorised and reflexive understanding of the subjectively understood queer male identity since 1948. Emerging from the disciplines of History and English, this project draws from a range of narratological materials: parliamentary debates contained in Hansard, and novels and short stories written by men with publicly avowed queer identities. This thesis explores how both 'normative' identity and the category of 'the homosexual' were constructed and mobilised in the public domain, in this case, the House of Representatives. It shows that members of the House have engaged with an extensive tradition of defining and excluding; a process by which state and public discourses have constructed largely unified, negative and othering narratives of 'the homosexual'. This constitutes an overarching narrative of queer experience which, until the mid-1990s, excluded queer subjects from its construction. At the same time, fictional narratives offer an adjacent body of knowledge and thought for queer men and women. This thesis posits literature's position as an important and productive space for queer resistance and critique. Such texts typically engage with and subvert 'dominant' or 'normative' understandings of sexuality and disturb efforts to apprehend precise or linear histories of 'gay liberation' and 'gay consciousness'. Drawing from the works of Frank Sargeson, James Courage, Bill Pearson, Noel Virtue, Stevan Eldred-Grigg, and Peter Wells, this thesis argues for a revaluing of fictional narratives as active texts from which historians can construct a matrix of cultural experience, while allowing for, and explaining, the determining role such narratives play in the discursively constructed understandings of gender and sexuality in New Zealand.

Made available in DSpace on 2016-03-15T19:32:34Z (GMT). No. of bitstreams: 1 Ricardo Cavalcanti Alves.pdf: 1472492 bytes, checksum: 191a6c7b13b5d0386ac7e4edda2748c7 (MD5) Previous issue date: 2012-03-26 / Fundo Mackenzie de Pesquisa / In the last decades the world has seen great dissemination of powerful brands, local and world-known, not infrequently assessed in billions of dollars, leading to massive sales of products and services associated with them. And in that context it is clear the impact of the intrinsic value of the intangible assets brand of companies in mergers and acquisitions.Nowadays, it has been clear that a Company valuation has a relevant amount related to intangible assets and, among these, brands have significant importance. This study aimed to investigate what is the general perception, the control method and the valuation of brands on companies operating in Brazil, by gathering information about the companies where students and recent graduates of post-graduate in business administration related courses used to work.Thus, from the sample group of 134 companies operating in Brazil, were extracted details of five dimensions of brand: awareness about its importance, financial valuation of the brand,accounting recognition of brand value, management of this intangible asset and its use as a tactical and strategic performance ratio. The methodology used was a survey that, from statistical tests Chi-square Pearson test led to the conclusion that there is no significant relationship between the fact that companies sell products and services and aspects relating to each of the five dimensions studied. Other variables statistically compared by using the chisquare test meant for the sample companies, among other findings, the significant correlation between large companies and the fact that companies evaluate brands or negotiate them. Also, the study took into account the criteria of attitude scores of respondents based on the Likert scale. The resulting data reveal that the brands are still in need of greater attention from companies. It is a minority in the sample studied the incidence of financial valuation of the brand, as well as the proper focus on accounting and management reports. Internal control over brand management and variable compensation system based on ratios of the brand,though present, such items were observed in low intensity in the sample companies. / Nas últimas décadas o mundo tem assistido à grande proliferação de marcas poderosas, local e mundialmente conhecidas, avaliadas não raramente em bilhões de dólares, levando a vendas em massa de produtos e serviços a elas associadas. E nesse contexto é notório o impacto do valor intrínseco do ativo intangível marca no valor das empresas em movimentos de fusões e aquisições. Hoje sabe-se que um valuation conta com parte relevante de seu montante relacionado a ativos intangíveis e, entre tais, as marcas possuem significativo destaque. Este trabalho objetivou investigar qual é a percepção geral, o método de controle e a avaliação das marcas em companhias em operação no Brasil, a partir de levantamento de informações sobre as empresas em que trabalhavam estudantes e recém egressos de cursos de pós-graduação profissional em áreas ligadas à administração de negócios. Assim, da amostra pesquisada de 134 companhias atuantes no país, foram extraídos detalhes de cinco dimensões da marca:percepção sobre sua importância, avaliação financeira, reconhecimento contábil de seu valor,gestão desse ativo intangível e de seu uso como indicador de performance tática e estratégica. A metodologia utilizada foi um levantamento (ou survey) que, a partir de testes estatísticos qui-quadrado de Pearson , permitiu a constatação de que não há relacionamento significativo entre o fato das empresas comercializarem produtos e serviços e aspectos ligados a cada uma das cinco dimensões estudadas. Outras variáveis comparadas estatisticamente pelo teste de qui-quadrado resultaram para as companhias da amostra, entre outras constatações, a significativa correlação entre as empresas de grande porte e o fato das empresas avaliarem marcas ou as negociarem. O estudo também levou em conta o critério de escores de atitudes dos respondentes baseado na escala Likert. Os dados resultantes revelam que as marcas carecem ainda de maior atenção por parte das empresas. É minoritária na amostra estudada a incidência de avaliação financeira da marca, assim como o devido enfoque em relatórios contábeis e gerenciais. Os controles internos de gestão da marca e o sistema de remuneração variável baseado em indicadores da marca, embora existam, mostraram-se itens pouco observados nas companhias da amostra.

The point of this thesis was to perform listening tests. Appropriate methods of performance were selected for these tests, tests were carried out and the data were analyzed using statistical analysis. Then was compiled the resulting interval scale from results of the first test and in the second listening test were determined average values SNR for background noises.

No description available.

En fiabilité et en analyse de survie, les distributions qui ont une fonction de hasard unimodale ne sont pas nombreuses, qu'on peut citer: Gaussienne inverse ,log-normale, log-logistique, de Birnbaum-Saunders, de Weibull exponentielle et de Weibullgénéralisée. Dans cette thèse, nous développons les tests modifiés du Chi-deux pour ces distributions tout en comparant la distribution Gaussienne inverse avec les autres. Ensuite nousconstruisons le modèle AFT basé sur la distribution Gaussienne inverse et les systèmes redondants basés sur les distributions de fonction de hasard unimodale. / In reliability and survival analysis, distributions that have a unimodalor $\cap-$shape hazard rate function are not too many, they include: the inverse Gaussian,log-normal, log-logistic, Birnbaum-Saunders, exponential Weibull and power generalized Weibulldistributions. In this thesis, we develop the modified Chi-squared tests for these distributions,and we give a comparative study between the inverse Gaussian distribution and the otherdistributions, then we realize simulations. We also construct the AFT model based on the inverseGaussian distribution and redundant systems based on distributions having a unimodal hazard ratefunction.

Esta dissertação de mestrado apresenta os resultados de uma investigação sobre os métodos de co-estimativa comumente utilizados em geoestatística. Estes métodos são: cokrigagem ordinária; cokrigagem colocalizada e krigagem com deriva externa. Além disso, a krigagem ordinária foi considerada apenas a título de ilustração como esse método trabalha quando a variável primária estiver pobremente amostrada. Como sabemos, os métodos de co-estimativa dependem de uma variável secundária amostrada sobre o domínio a ser estimado. Adicionalmente, esta variável deveria apresentar correlação linear com a variável principal ou variável primária. Geralmente, a variável primária é pobremente amostrada enquanto a variável secundária é conhecida sobre todo o domínio a ser estimado. Por exemplo, em exploração petrolífera, a variável primária é a porosidade medida em amostras de rocha retiradas de testemunhos e a variável secundária é a amplitude sísmica derivada de processamento de dados de reflexão sísmica. É importante mencionar que a variável primária e a variável secundária devem apresentar algum grau de correlação. Contudo, nós não sabemos como eles funcionam dependendo do grau de correlação. Esta é a questão. Assim, testamos os métodos de co-estimativa para vários conjuntos de dados apresentando diferentes graus de correlação. Na verdade, esses conjuntos de dados foram gerados em computador baseado em algoritmos de transformação de dados. Cinco valores de correlação foram considerados neste estudo: 0,993, 0,870, 0,752, 0,588 e 0,461. A cokrigagem colocalizada foi o melhor método entre todos testados. Este método tem um filtro interno que é aplicado no cálculo do peso da variável secundária, que por sua vez depende do coeficiente de correlação. De fato, quanto maior o coeficiente de correlação, maior é o peso da variável secundária. Então isso significa que este método funciona mesmo quando o coeficiente de correlação entre a variável primária e a variável secundária é baixo. Este é o resultado mais impressionante desta pesquisa. / This master dissertation presents the results of a survey into co-estimation methods commonly used in geostatistics. These methods are ordinary cokriging, collocated cokriging and kriging with an external drift. Besides that ordinary kriging was considered just to illustrate how it does work when the primary variable is poorly sampled. As we know co-estimation methods depend on a secondary variable sampled over the estimation domain. Moreover, this secondary variable should present linear correlation with the main variable or primary variable. Usually the primary variable is poorly sampled whereas the secondary variable is known over the estimation domain. For instance in oil exploration the primary variable is porosity as measured on rock samples gathered from drill holes and the secondary variable is seismic amplitude derived from processing seismic reflection data. It is important to mention that primary and secondary variables must present some degree of correlation. However, we do not know how they work depending on the correlation coefficient. That is the question. Thus, we have tested co-estimation methods for several data sets presenting different degrees of correlation. Actually, these data sets were generated in computer based on some data transform algorithms. Five correlation values have been considered in this study: 0.993; 0.870; 0.752; 0.588 and 0.461. Collocated simple cokriging was the best method among all tested. This method has an internal filter applied to compute the weight for the secondary variable, which in its turn depends on the correlation coefficient. In fact, the greater the correlation coefficient the greater the weight of secondary variable is. Then it means this method works even when the correlation coefficient between primary and secondary variables is low. This is the most impressive result that came out from this research.

Esta dissertação de mestrado apresenta os resultados de uma investigação sobre os métodos de co-estimativa comumente utilizados em geoestatística. Estes métodos são: cokrigagem ordinária; cokrigagem colocalizada e krigagem com deriva externa. Além disso, a krigagem ordinária foi considerada apenas a título de ilustração como esse método trabalha quando a variável primária estiver pobremente amostrada. Como sabemos, os métodos de co-estimativa dependem de uma variável secundária amostrada sobre o domínio a ser estimado. Adicionalmente, esta variável deveria apresentar correlação linear com a variável principal ou variável primária. Geralmente, a variável primária é pobremente amostrada enquanto a variável secundária é conhecida sobre todo o domínio a ser estimado. Por exemplo, em exploração petrolífera, a variável primária é a porosidade medida em amostras de rocha retiradas de testemunhos e a variável secundária é a amplitude sísmica derivada de processamento de dados de reflexão sísmica. É importante mencionar que a variável primária e a variável secundária devem apresentar algum grau de correlação. Contudo, nós não sabemos como eles funcionam dependendo do grau de correlação. Esta é a questão. Assim, testamos os métodos de co-estimativa para vários conjuntos de dados apresentando diferentes graus de correlação. Na verdade, esses conjuntos de dados foram gerados em computador baseado em algoritmos de transformação de dados. Cinco valores de correlação foram considerados neste estudo: 0,993, 0,870, 0,752, 0,588 e 0,461. A cokrigagem colocalizada foi o melhor método entre todos testados. Este método tem um filtro interno que é aplicado no cálculo do peso da variável secundária, que por sua vez depende do coeficiente de correlação. De fato, quanto maior o coeficiente de correlação, maior é o peso da variável secundária. Então isso significa que este método funciona mesmo quando o coeficiente de correlação entre a variável primária e a variável secundária é baixo. Este é o resultado mais impressionante desta pesquisa. / This master dissertation presents the results of a survey into co-estimation methods commonly used in geostatistics. These methods are ordinary cokriging, collocated cokriging and kriging with an external drift. Besides that ordinary kriging was considered just to illustrate how it does work when the primary variable is poorly sampled. As we know co-estimation methods depend on a secondary variable sampled over the estimation domain. Moreover, this secondary variable should present linear correlation with the main variable or primary variable. Usually the primary variable is poorly sampled whereas the secondary variable is known over the estimation domain. For instance in oil exploration the primary variable is porosity as measured on rock samples gathered from drill holes and the secondary variable is seismic amplitude derived from processing seismic reflection data. It is important to mention that primary and secondary variables must present some degree of correlation. However, we do not know how they work depending on the correlation coefficient. That is the question. Thus, we have tested co-estimation methods for several data sets presenting different degrees of correlation. Actually, these data sets were generated in computer based on some data transform algorithms. Five correlation values have been considered in this study: 0.993; 0.870; 0.752; 0.588 and 0.461. Collocated simple cokriging was the best method among all tested. This method has an internal filter applied to compute the weight for the secondary variable, which in its turn depends on the correlation coefficient. In fact, the greater the correlation coefficient the greater the weight of secondary variable is. Then it means this method works even when the correlation coefficient between primary and secondary variables is low. This is the most impressive result that came out from this research.

Taneichi(1993)提出一個新的適合度檢定統計量J²，具有近似卡方分配的性質。然而在小樣本的情形下，計算機模擬結果顯示，它的估計顯著水準大於期望顯著水準。所以本論文的重點之一，就是對J²進行改進，根據不同的準則，來選取一個適當的常數a。我們建議對每一觀測次數加一常數0.32，作為我們修正後的統計量，這個統計量我們記為J₁²。 　　另一探討的重點是在比較皮爾生卡方統計量X²，概似比例統計量G²，Cressie & Read統計量 I(2/3)，J²和J₁²之性質，我們想要了解在小樣本的情形之下，何者較接近於卡方分配，何者具有較強的檢定力。研究結果顯示，X²和I(2/3)較接近卡方分配，但J₁²又較G²及J²好；至於檢定力，我們發現沒有一個統計量在文中所探討的對立假設的情況下，同時都具有最大的檢定力。這些現象都可以用觀測次數對期望次數比值間的關係來解釋。 / Taneichi(1993) introduces a new goodness-of-fit statisticJ², which has an asymptotic chi-squared distribution. However, the results of simulation indicate that the levels of significance are in general bigger than the nominal levels, which prompts us to device a version of J² statistic which would perform better under small sample size situations. We suggest adding 0.32 to each observed value and find that the adjustment indeed works rearonably well. This version of J^2 statistic is denoted as J(1)^2. 　　Although Pearson chi-square statistic X², likelihood ratio statistic G², Cresse-Read statistic I(2/3), J^2 and J(1) ^2 all have asymptotic chi-squared distributions, their small sample behaviors are not expected to be the same. Comparisons based on simulation studies are then made. The conclusions are as follows : (1) In terms of levels of significance, X² and I(2/3) behave more like a chi-squared distribution. Though J(1) ^2 does not perform as good as X² and I(2/3), it does outperform G² and J². (2) In terms of powers, it does not seem that any of the test statistics has a clear advantage over the others.