Currently, most surveys ask for occupation with open-ended questions. The verbal responses are coded afterwards, which is error prone and expensive. We present an alternative approach that allows occupation coding dur...
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Currently, most surveys ask for occupation with open-ended questions. The verbal responses are coded afterwards, which is error prone and expensive. We present an alternative approach that allows occupation coding during the interview. Our new technique uses a supervised learning algorithm to predict candidate job categories. These suggestions are presented to the respondent, who in turn can choose the most appropriate occupation. 72.4% of the respondents selected an occupation when the new instrument was tested in a telephone survey, entailing potential cost savings. To aid further improvements, we identify some factors for how to increase quality and to reduce interview duration.
Qualitative tourism research is inevitably multidimensional. The fragmentation of the tourism sector across policy domains, scales, space and stakeholders leads to 'blurry' and aggregated datasets. Yet, touris...
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Qualitative tourism research is inevitably multidimensional. The fragmentation of the tourism sector across policy domains, scales, space and stakeholders leads to 'blurry' and aggregated datasets. Yet, tourism studies have a weak record in describing how results emanate from raw qualitative data. This paper presents a coding/post-coding scheme that proved robust in disentangling multidimensional tourism datasets in a middle-range research project that necessitated reflecting on the position of the researcher and the literature study during the data analysis. It describes the pragmatic decisions taken to organise the qualitative data from a research project on cross-border tourism and regional development processes. The paper also functions as a reflexive account of how this scheme came into existence. It contributes to the tools available to practically acknowledge the fragmentation of the tourism sector and the resulting multidimensional qualitative data, and calls for a more open accounting of the data analysis process and the underlying research values in tourism studies.
A mid-sized university library system conducted a large-scale mixed-methods research project intended to understand better the student library experience and ways to enhance it. One aspect of the project included a de...
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A mid-sized university library system conducted a large-scale mixed-methods research project intended to understand better the student library experience and ways to enhance it. One aspect of the project included a detailed and iterative analysis of interview data. Using a grounded theory (GT) approach, researchers analyzed empirical data from student interviews and identified patterns of behavior. The results of data analyses suggested that students used knowledge and interactions from library class to inform them of how to study academic content and complete non-research tasks and vice versa. As a result, researchers generated an inductive (emerging from the data) theory that asserts that some research and study activities are mutually informative. The article describes the approach used to develop the theoretical construct in hopes that it will provide a deeper understanding of the relationship between research and studying behaviors and how academic libraries contribute to the greater academic landscape in ways not previously recognized.
MV-HEVC can efficiently compress multiview video data captured from different viewpoints. To achieve high coding efficiency, it consists of not only inter coding but also interview coding. The inter coding includes a ...
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MV-HEVC can efficiently compress multiview video data captured from different viewpoints. To achieve high coding efficiency, it consists of not only inter coding but also interview coding. The inter coding includes a motion estimation (ME) process that reduces temporal redundancies between consecutive frames, and the interview coding performs a disparity estimation (DE) that reduces interview redundancies between neighboring views. As a result, MV-HEVC needs high encoding complexity to perform both ME and DE. In order to reduce the complexity, this paper proposes an adaptive fractional ME and DE skipping method in a partitioned inter pre-diction unit (PU) mode, based on a result of a 2 N x 2 N inter PU coding. Experimental results show that the proposed method efficiently reduces the encoding complexity with negligible coding loss, compared to con-ventional methods.
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