Thesis--University of Oklahoma. / Bibliography: leaves 85-88.

Thesis (Ph.D.)--Ohio University, June, 2010. / Title from PDF t.p. Includes bibliographical references.

Thesis (M.S. in Operations Research)--Naval Postgraduate School, March 1980. / Thesis Advisor(s): Neil, Douglas. Second Reader: Moroney, William. "March 1980." Description based on title screen as viewed on May 25, 2010. DTIC Descriptor(s): Data Displays, Man Machine Systems, Cockpits, Performance (Human), Reaction Time, Pilots, Analysis Of Variance, Theses, Coding, Colors, Errors, Symbols, Cathode Ray Tube Screens, Color Vision, Alphanumeric Displays DTIC Identifier(s): Color Coding. Author(s) subject terms: Coding Techniques, Symbols,Colors, Reaction Time, Performance, Errors, Alphanumerics. Includes bibliographical references (p. 65-66). Also available in print.

Thesis (Ph.D. (Econometrics))-University of Pretoria, 2005. / Abstract in English. Includes bibliographical references. Available on the Internet via the World Wide Web.

Thesis (Ph. D.)--Case Western Reserve University, 2006. / [School of Medicine] Department of Epidemiology and Biostatistics. Includes bibliographical references. Available online via OhioLINK's ETD Center.

Thesis--University of Oklahoma. / Bibliography: leaves 90-93.

Thesis (Ph. D.)--University of Texas at Austin, 2004. / Supervisor: Susan N. Beretvas. Vita. Includes bibliographical references.

Thesis (M.Ed.)--Texas State University-San Marcos, 2007. / Vita. Appendices: leaves 126-137. Includes bibliographical references (leaves 138-145).

Thesis (MComm (Industrial Psychology))--University of Stellenbosch, 2006. / The leadership-for-performance framework designed by Spangenberg and Theron (2004) aspires to explicate the structural relationships existing between leader competency potential, leadership competencies, leadership outcomes and the dimensions of organizational unit performance. The Performance Index (PI) and Leadership Behaviour Inventory (LBI) comprise the leadership-forperformance range of measures. The PI was developed as a comprehensive criterion measure of unit performance for which the unit leader could be held responsible. The basic PI structural model has been developed to explain the manner in which the various latent leadership dimensions measured by the LBI affect the eight unit performance latent variables that are assessed by the PI. Although preliminary research suggests the basic PI structural model could be refined, continued research in this regard can only be justified if the basic PI measurement model is shown to be measurement invariant across independent samples from the target population. As part of ongoing research of the leadership-for-performance range of measures, this crossvalidation study investigated the extent to which the PI measurement model may be considered measurement invariant across two independent samples from the same population. Two samples were collected through non-probability sampling procedures and included 277 and 375 complete cases after imputation by matching. Item analysis and dimensionality analysis were performed on each of the PI sub-scales prior to the formation of item parcels. No items were excluded based on item- and dimensionality analysis results. Two composite indicator variables (item parcels) were created from the items of each sub-scale and were treated as continuous variables in the subsequent statistical analyses. Structural equation modelling, using robust maximum likelihood estimation, was used to perform a confirmatory first-order factor analysis on the item parcels for each sample. The measurement model was fitted to both samples independently and close fit for each sample was established. The measurement model was cross-validated using a progressive series of measurement invariance tests. Results indicated the PI measurement model did not display full measurement invariance across the two samples although it did cross-validate successfully under the configural invariance condition. Statistically significant non-equivalence was found to exist in both the measurement error variances and the factor covariances (p<0,05), although the p<0,05 critical value was only narrowly surpassed in both cases. The measurement model did, however, display metric invariance across the samples as no significant differences were found between the factor loadings, suggesting the content of each item is perceived and interpreted in a similar manner across samples from the target population. When considered in combination, these results may be viewed as quite satisfactory as they indicate that themeasurement model does not appear to vary greatly when fitted to data from the two samples. As this study has established at least metric invariance of the PI, it therefore provides some basis of confidence for proceeding with subsequent research aimed at establishing the structural invariance of the basic PI structural model and eventually research that links the leadership behaviour to work unit performance as measured by the PI. Limitations of this study are discussed.

Made available in DSpace on 2014-06-11T19:27:13Z (GMT). No. of bitstreams: 0 Previous issue date: 2012-02-24Bitstream added on 2014-06-13T19:14:27Z : No. of bitstreams: 1 gonsalez_cg_me_ilha.pdf: 4679748 bytes, checksum: 5f6a627734b2110f92059053c2470814 (MD5) / Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) / Pesquisadores de diversas partes do mundo se empenham em desenvolver técnicas capazes de monitorar a integridade de máquinas, veículos e estruturas, principalmente as que a ruptura ou destruição possa provocar acidentes e catástrofes. Neste contexto, várias técnicas não destrutivas podem ser utilizadas para monitorar estes sistemas permitindo a realização de reparos e, evitando maiores prejuízos econômicos e danos sociais. A técnica da Impedância Eletromecânica está entre as técnicas baseadas na utilização de materiais piezelétricos e, particularmente, utiliza-se de uma curva sensível a pequenas variações na estrutura, característica que faz a técnica ser eficiente na detecção de danos incipientes. No entanto, sob variações das condições ambiente e de teste, a sensibilidade da técnica pode produzir falsos diagnósticos. Desta forma, o desafio atual é aplicar a técnica da Impedância Eletromecânica em sistemas de monitoramento considerando condições mais próximas às condições de operação reais dos sistemas a serem monitorados. Este trabalho apresenta duas metodologias para sistemas SHM, a primeira consiste em utilizar a técnica de agrupamento Fuzzy c-means para entender e considerar o efeito da temperatura nos sinais da Impedância Eletromecânica. A segunda metodologia utiliza análise de variância (ANOVA) para propor uma metodologia de detecção mais robusta, e assim, incorporar variações aleatórias nos sistemas de medição e aquisição sem comprometer o diagnóstico SHM / Researchers around the world are engaged to develop techniques for structural health monitoring of machinery, vehicles and structures, especially systems where damage or destruction could induce accidents and disasters. In this context, several non-destructive techniques can be used to monitor these systems allowing repairs and avoiding major economic losses or social losses. The electromechanical impedance technique is among the techniques based on piezoelectric materials use and it is sensible to small variations in the structure which makes it efficient in detecting incipient damages. However, variations in the ambient or test conditions can cause false diagnoses. Therefore, the current challenge is to apply the electromechanical impedance technique considering monitoring conditions closer to real operating conditions of the systems to be monitored. This work presents two methodologies for SHM systems. The first one uses Fuzzy c-means clustering to distinguish the temperature effect on impedance signal. The second method uses analysis of variance (ANOVA) to propose a more robust detection methodology and thus incorporate random variations in measurement systems and acquisition without loss of SHM diagnostic