Creswell (2003)
57128451
Research design: qualitative, quantitative, and mixed methods approaches
Nova edicao do conhecido livro sobre metodologia de pesquisa de Creswell. Originalmente pensado no campo da Educacao, o autor ficou muito conhecido tambem em Administracao. Nesta nova edicao, ele procura sair da dicotomia metodos quantitativos x qualitativos, com uma otima discussao adicional sobre metodos mistos. Como um todo, e uma obra excelente de referencia para cursos introdutorios de metodologia de pesquisa em programas de pos graduacao.
Miguel P Caldas
130646378
Creswell Development code
223 pp. Referenced maps not included. Adopted June 7, 1999; Ameded December 8, 2003. Captured October 31, 2006.
161596618
Discovery of Palaeolithic cave art in Britain
We are pleased to present here a preliminary account of the first discovery of Palaeolithic cave art in Britain. On 14 April 2003 we made the first discovery of Palaeolithic cave art in Britain. Since portable art of the period has long been known in this country (Sieveking 1972; Campbell 1977: vol. 2, figs 102, 105, 143) it has always seemed probable that parietal art must also have existed. We knew that we were most unlikely to discover paintings, since these are generally quite visible; but as far as we knew, nobody with a trained eye and advantageous lighting had combed the British caves in search of engravings, which are often extremely difficult to see. Such was the purpose of our initial survey and, sure enough, we rapidly encountered engraved marks in a number of caves, which we will be investigating more fully and systematically in the near future. At the well known sites of Creswell Crags, in Derbyshire, we found both figurative and non figurative engravings of the period. What follows is a brief, preliminary announcement of a discovery soon to be further amplified in print following systematic investigation.
Paul G Bahn Paul Pettitt Sergio Ripoll
11268361
Quantitative analysis of cortical pyramidal neurons after corpus callosotomy
This study quantitatively explored the dendritic/spine extent of supragranular pyramidal neurons across several cortical areas in two adult male subjects who had undergone a callosotomy several decades before death. In all cortical areas, there were numerous atypical, supragranular pyramidal neurons with elongated "tap root" basilar dendrites. These atypical cells could be associated with an underlying epileptic condition and/or could represent a compensatory mechanism in response to deafferentation after callosotomy. Ann Neurol 2003
Annals of neurology
Bob Jacobs J Creswell Jonathan P Britt Kevin Ford Joseph E Bogen Eran Zaidel
146261204
Referees for Ethics, Place and Environment, Volume 6, 2003
James L Ryan Jon Bowyer Noel Castree Sandie Suchet Pamela Shurmer-smith Tim Creswell Felix Driver Ian Thompson Nigel Veitch Jody Emel
144018767
SAGE Handbook of Mixed Methods in Social Behavioral Research
Part 1 The Research Enterprise in the Social and Behavioral Sciences: Then and Now Ch 1 Major Issues and Controversies in the Use of Mixed Methods in the Social and Behavioral Sciences Charles Teddlie, Abbas Tashakkori Ch 2 Pragmatic Threads in Mixed Methods Research in the Social Sciences: The Search for Multiple Modes of Inquiry and the End of the Philosophy of Formalism Spencer Maxey Ch 3 Making Parardigmatic Sense of Mixed Method Practice Jennifer Greene, Valerie Caracelli Ch 4 Cultural Distance, Levels of Abstraction and the Advantages of Mixed Methods Fathali M. Moghaddam, Ben Walker, Rom Harre Ch 5 Mixed Methods and the Politics of Human Research: The Transformational and Emancipatory Perspective Donna Mertens Part 2 Methodological and Analytical Issues for Mixed Methods Research Ch 6 A Typology of Research Purposes and its Relationship to Mixed Methods Isadore Newman, Carolyn S. Ridenour, Carole Newman, George M. DeMarco, Jr. Ch 7 Principles of Mixed and Multi Method Research Design Janice Morse Ch 8 Advanced Mixed Methods Research Design John Creswell, Michelle Guttman, Vicki Plano Clark Ch 9 Mixed Methods Design: An Alternative Approach Joseph A. Maxwell, Diane Loomis Ch 10 Mixed Method Sampling Strategies in Social Science Research Elizabeth Kemper, Sam Stringfield, Charles Teddlie Ch 11 Data Collection Strategies in Mixed Methods Research R. Burke Johnson, Lisa A. Turner Ch 12 Tables or Tableaux? The Challenges of Writing and Reading Mixed Methods Studies Margarete Sandelowski Ch 13 A Framework for Analyzing Data in Mixed Methods Research Anthony Onwueghbuzie, Charles Teddlie Ch 14 Computerized Data Analysis for Mixed Methods Research Patricia Bazeley Ch 15 Impact of Mixed Methods and Design on Inference Quality Steven Miller Ch 16 Making Inferences in Mixed Methods: The Rules of Integration Christian Erzberger, Udo Kelle Part 3 Applications and Examples of Mixed Methods Research Across Disciplines Ch 17 Mixed Methods in Evaluation Contexts: A Pragmatic Framework Sharon F. Rallis, Gretchen B. Rossman Ch 18 Research Methods in Management and Organizational Research: Toward Integration of Qualitative and Quantitative Techniques Steven C. Curall, Annette J. Towler Ch 19 The Status of Mixed Methods in the Health Sciences Melinda S. Forthofer Ch 20 Status of Mixed Methods Research in Nursing Sheila Twinn Ch 21 Mixed Methods in Psychological Research Cindy Waszack, Marylyn C. Sines Ch 22 Multimethod Research in Sociology Albert Hunter, John Brewer Ch 23 The Pragmatic and Dialectical Lenses: Two Views of Mixed Methods' Use in Education Tonette S. Rocco, Linda A. Bliss, Suzanne Gallagher, Aixa Perez Prado, Cengiz Alacaci, Eric S. Dwyer, Joyce C. Fine, N.Eleni Pappamihiel Part 4 Conclusions and Future Directions Ch 24 Teaching Mixed Methods Research:Practices, Dilemmas and Challenges John W. Creswell, Abbas Tashakkori, Ken Jensen, Kathy Shapley Ch 25 Collaborative Mixed Method Research Lyn M. Shulha and Robert J. Wilson Ch 26 The Past and the Future of Mixed Methods Research: From "Methodological Triangulation" to "Mixed Model Designs" Abbas Tashakkori, Charles Teddlie
Abbas Tashakkori Charles B Teddlie
6379469
ICDAR 2003 robust reading competitions
This paper describes the robust reading competitions forICDAR 2003. With the rapid growth in research over thelast few years on recognizing text in natural scenes, thereis an urgent need to establish some common benchmarkdatasets, and gain a clear understanding of the current stateof the art. We use the term robust reading to refer to text imagesthat are beyond the capabilities of current commercialOCR packages. We chose to break down the robust readingproblem into three sub problems, and run competitionsfor each stage, and also a competition for the best overallsystem. The sub problems we chose were text locating,character recognition and word recognition.By breaking down the problem in this way, we hope togain a better understanding of the state of the art in eachof the sub problems. Furthermore, our methodology involvesstoring detailed results of applying each algorithm toeach image in the data sets, allowing researchers to study indepth the strengths and weaknesses of each algorithm. Thetext locating contest was the only one to have any entries.We report the results of this contest, and show cases wherethe leading algorithms succeed and fail.
Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.
Simon M M Lucas Alex Panaretos Luis Sosa Anthony Tang Shirley Wong Robert Young
1007888
Automatic document metadata extraction using support vector machines
Automatic metadata generation provides scalability and usability for digital libraries and their collections. Machine learning methods offer robust and adaptable automatic metadata extraction. We describe a support vector machine classification based method for metadata extraction from header part of research papers and show that it outperforms other machine learning methods on the same task. The method first classifies each line of the header into one or more of 15 classes. An iterative convergence procedure is then used to improve the line classification by using the predicted class labels of its neighbor lines in the previous round. Further metadata extraction is done by seeking the best chunk boundaries of each line. We found that discovery and use of the structural patterns of the data and domain based word clustering can improve the metadata extraction performance. An appropriate feature normalization also greatly improves the classification performance. Our metadata extraction method was originally designed to improve the metadata extraction quality of the digital libraries Citeseer [S. Lawrence et al. (1999) and EbizSearch [Y. Petinot et al. (2003) We believe it can be generalized to other digital libraries.
2003 Joint Conference on Digital Libraries, 2003. Proceedings.
Hui Han C Lee Giles Eren Manavoglu Hongyuan Zha Zhenyue Zhang Edward A Fox
7429452
Packet classification using extended TCAMs
CAMs are the most popular practical method for implementing packet classification in high performance routers. Their principal drawbacks are high power consumption and inefficient representation of filters with port ranges. A recent paper [Narlikar, et al. 2003] showed how partitioned TCAMs could be used to implement IP route lookup with dramatically lower power consumption. We extend the ideas in [Narlikar, et al. 2003] to address the more challenging problem of general packet classification. We describe two extensions to the standard TCAM architecture. The first organizes the TCAM as a two level hierarchy in which an index block is used to enable/disable the querying of the main storage blocks. The second incorporates circuits for range comparisons directly within the TCAM memory array. Extended TCAMs can deliver high performance (100 million lookups per second) for large filter sets (100,000 filters) while reducing power consumption by a factor of ten and improving space efficiency by a factor of three.
11th IEEE International Conference on Network Protocols, 2003. Proceedings.
Edward W Spitznagel David E Taylor Jonathan S Turner
61910121
Analysis of support vector regression for approximation of complex engineering analyses
A variety of metamodeling techniques have been developed in the past decade to reduce the computational expense of computer based analysis and simulation codes. Metamodeling is the process of building a "model of a model" that provides a fast surrogate for a computationally expensive computer code. Common metamodeling techniques include response surface methodology, kriging, radial basis functions, and multivariate adaptive regression splines. In this paper, we present Support Vector Regression (SVR) as an alternative technique for approximating complex engineering analyses. The computationally efficient theory behind SVR is presented, and SVR approximations are compared against the aforementioned four metamodeling techniques using a testbed of 22 engineering analysis functions. SVR achieves more accurate and more robust function approximations than these four metamodeling techniques and shows great promise for future metamodeling applications.Copyright (c) 2003 by ASME
DAC 2003
Stella M Clarke Jan Griebsch Timothy W Simpson