Results 261 to 270 of about 2,349,146 (314)

Conceptualizing Qualitative Data

Qualitative Health Research, 2021
Qualitative research is practiced across diverse disciplines and contexts, and this produces a wide range of perspectives on the role of conceptualization and theory development. It also results in a hugely varied mix of submissions to qualitative research journals in terms of their level of conceptual elevation.
openaire   +4 more sources

Analyzing Qualitative Data

Proceedings of the 2017 ACM International Conference on Interactive Surfaces and Spaces, 2017
Evaluation is increasingly recognized as an essential component of HCI research. However, evaluation itself is a changing research area. In particular, the many variations of qualitative research are emerging as important empirical methods. This half-day tutorial is designed for beginning to intermediate audiences.
Sheelagh Carpendale   +3 more
openaire   +1 more source

Qualitative data cleaning

Proceedings of the VLDB Endowment, 2016
Data quality is one of the most important problems in data management, since dirty data often leads to inaccurate data analytics results and wrong business decisions. Data cleaning exercise often consist of two phases: error detection and error repairing.
Xu Chu, Ihab F. Ilyas
openaire   +1 more source

Qualitative Data Analysis

2010
Book abstract: The growing emphasis on evidence-based practice means that there is an increasing need for practitioners to have at least a basic understanding of research, be aware of methodological pitfalls and to be updated on new methods. This book provides a practical, user-friendly guide to social science research methods for professionals who ...
Smith, Karen, Davies, Joanne
openaire   +2 more sources

Qualitative Data in DEA

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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The analysis of structured qualitative data

Applied Stochastic Models and Data Analysis, 1999
The 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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THE QUALITATIVE TREATMENT OF SPATIAL DATA

International Journal on Artificial Intelligence Tools, 2007
This 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
openaire   +1 more source

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