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2005
In many real world applications involving performance measurement, it is necessary to deal with qualitative data factors. This chapter discusses the modeling of such factors within the DEA structure.
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In many real world applications involving performance measurement, it is necessary to deal with qualitative data factors. This chapter discusses the modeling of such factors within the DEA structure.
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Qualitative data collection with children
Applied Nursing Research, 2012Qualitative researchers have clear methods to guide them in data collection with adult participants, but little is known about effective interview techniques with children. The findings from this methodological study on qualitative interviews with children indicate that children are able to articulate their experiences in interviews.
Regena, Spratling +2 more
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The analysis of structured qualitative data
Applied Stochastic Models and Data Analysis, 1999The aim of this paper is to give an overview of the methodological contribution given by Italian researchers in introducing a priori information into multidimensional data analysis techniques, paying special attention to categorical variables. The basic method is Non-Symmetrical Correspondence Analysis, which enables the analysis of a contingency table
LAURO C., BALBI, SIMONA
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Qualitative Cleaning of Uncertain Data
Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, 2016We propose a new view on data cleaning: Not data itself but the degrees of uncertainty attributed to data are dirty. Applying possibility theory, tuples are assigned degrees of possibility with which they occur, and constraints are assigned degrees of certainty that say to which tuples they apply.
Henning Köhler, Sebastian Link
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A qualitative treatment of spatial data
17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05), 2005This paper aims at an efficient treatment of spatial data by qualitative representation. We propose a new framework called PLCA, which provides a symbolic representation for the figure in two-dimensional plane, that focuses on the connections between regions. It is based on the simple objects: points(P), lines(L), circuit s(C) and areas(A).
Takao Sumitomo, Kazuko Takahashi 0001
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THE QUALITATIVE TREATMENT OF SPATIAL DATA
International Journal on Artificial Intelligence Tools, 2007This paper aims at an efficient treatment of spatial data using qualitative representation. We propose a new framework called PLCA, which provides a symbolic representation for the figure in a two-dimensional plane, focusing on the connections between regions. It is based on four simple objects: points(P), lines(L), circuits(C) and areas(A).
Kazuko Takahashi 0001, Takao Sumitomo
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Quantitative Analysis of Qualitative Data
Psychometrika, 1981This paper presents an overview of an approach to the quantitative analysis of qualitative data with theoretical and methodological explanations of the two cornerstones of the approach, Alternating Least Squares and Optimal Scaling. Using these two principles, my colleagues and I have extended a variety of analysis procedures originally proposed for ...
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Data Presentation — Qualitative Data
1991In this chapter we will consider ways of presenting qualitative data, i.e. that which arises from the use of nominal measuring scales. In what follows we will deal with both graphical (i.e. diagrammatic) and tabular methods; we will not discuss the most suitable design of tables and diagrams, readers are strongly recommended to refer to Chapman (1986 ...
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Initiation Into Qualitative Data Analysis
Journal of Nursing Education, 2003ABSTRACT Qualitative data analysis may be daunting to nursing graduate students and other novice qualitative researchers. This article describes a qualitative research project required in a graduate nursing research couree that was designed to guide students through their first qualitative data analysis. Common pitfalls novice researchers may
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