Correspondence Analysis: A New Method for Analyzing Qualitative Data in Architecture

Purpose While the motivation for collecting art has received considerable attention in the literature, less is known about the characteristics of the typical art collector. This paper aims to explore these characteristics to develop a typology of art consumers using a mixed method approach over several studies. Design/methodology/approach This is achieved by analyzing qualitative data, gathered via semi-structured interviews of art collectors, and quantitatively by means of natural language processing analysis and automated text analysis and using correspondence analysis to analyze and present the results. Findings The study’s findings reveal four distinct clusters of art collectors based on their “Big Five” personality traits, as well as uncovering insights into how these types talk about their possessions. Research limitations/implications In addition to contributing to the arts marketing literature, the findings provide a more nuanced understanding of consumers that managers can use for market segmentation and target marketing decisions in other markets. The paper also offers a methodological contribution to the literature on correspondence analysis by demonstrating the “doubling” procedure to deal with percentile data. Practical implications In addition to contributing to the arts marketing literature, the findings provide a more nuanced understanding of art collectors that managers can use for market segmentation and target marketing decisions. The paper also offers a methodological contribution to the literature on correspondence analysis by demonstrating a non-traditional application of correspondence analysis using the “doubling” procedure. Buyer behavior in the fine art market is not exhaustively studied. By understanding the personality traits of consumers in the art market, sales forces can better provide assistance and product to consumers. Further, understanding the personalities of consumers is better for art retail spaces to better serve consumers. Originality/value This paper demonstrates a unique mixed methods approach to analyzing unstructured qualitative data. It shows how text data can be used to identify measurable market segments for which targeted strategies can be developed.

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Iterative Thematic Inquiry: A New Method for Analyzing Qualitative Data

International Journal of Qualitative Methods ◽

10.1177/1609406920955118 ◽

2020 ◽

Vol 19 ◽

pp. 160940692095511

Author(s):

David L. Morgan ◽

Andreea Nica

Keyword(s):

Qualitative Research ◽

Content Analysis ◽

Data Analysis ◽

Thematic Analysis ◽

Theoretical Basis ◽

Qualitative Data ◽

Qualitative Content Analysis ◽

New Method ◽

Data Collection And Analysis ◽

Primary Procedure

Because themes play such a central role in the presentation of qualitative research results, we propose a new method, Iterative Thematic Inquiry (ITI), that is guided by the development of themes. We begin by describing how ITI uses pragmatism as a theoretical basis for linking beliefs, in the form of preconceptions, to actions, in the form of data collection and analysis. Next, we present the four basic phases that ITI relies on: assessing beliefs; building new beliefs through encounters with data; listing tentative themes; and, evaluating themes through coding. We also review several notable differences between ITI and existing methods for qualitative data analysis, such as thematic analysis, grounded theory, and qualitative content analysis. The use of ITI is then illustrated through its application in a study of exiters from fundamentalist religions. Overall, the two most notable features of ITI are that it begins the development of themes as early as possible, through an assessment of initial preconceptions, and that it relies on writing rather than coding, by using a continual revision of tentative results as the primary procedure for generating a final set of themes.

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Supplier Evaluation Based on Mobile Agent and Information Credibility

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.97-101.3587 ◽

2010 ◽

Vol 97-101 ◽

pp. 3587-3592

Author(s):

Xiao Rong Huang ◽

Shun Sheng Guo ◽

Xiao Bing Yu

Keyword(s):

Mobile Agent ◽

Quantitative Data ◽

Supplier Selection ◽

Qualitative Data ◽

New Method ◽

Supplier Evaluation ◽

Evaluation Data ◽

Expert Rating ◽

Time Period ◽

Information Credibility

Supplier evaluation is the most vital action of supplier selection. Supplier evaluation data is divided into two kinds: the qualitative and the quantitative. In this study, it proposes through using mobile agent to obtain quantitative data from suppliers and expert rating methods to get qualitative data. To deal with the inconsistency of time period about getting these two types data, a new method is proposed to process the qualitative data by the establishment of information credibility about evaluation data. The obtained results show that the proposed method is well suited for supplier evaluation to shorten the evaluation cycle and enhance the timeliness.

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WASP (Write a Scientific Paper): Using correspondence analysis to investigate qualitative data elicited through photographs

Early Human Development ◽

10.1016/j.earlhumdev.2019.03.013 ◽

2019 ◽

Vol 133 ◽

pp. 57-61

Author(s):

Mary Anne Lauri ◽

Josef Lauri

Keyword(s):

Correspondence Analysis ◽

Qualitative Data ◽

Scientific Paper

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Designing a New Method of Studying Feature-Length Films

Projections ◽

10.3167/proj.2019.130304 ◽

2019 ◽

Vol 13 (3) ◽

pp. 53-78 ◽

Cited By ~ 1

Author(s):

Jose Cañas-Bajo ◽

Teresa Cañas-Bajo ◽

Eleni Berki ◽

Juri-Petri Valtanen ◽

Pertti Saariluoma

Keyword(s):

Qualitative Data ◽

Critical Issue ◽

Structural Features ◽

New Method ◽

Short Film ◽

Subjective Response ◽

Cognitive Level ◽

Integrated Method ◽

Qualitative Approaches ◽

Approaches To Study

Measuring viewers’ experiences of films has become a critical issue for filmmakers because all kinds of audiences now have access to new releases from all over the world. Some approaches have focused on the cognitive level of the experience, while others have emphasized the structure of films. Additionally, some have used quantitative objective methods to examine audience reactions to short film sequences, while others have applied qualitative approaches to study feature-length films. However, an integrated method that combines the features of these approaches is needed. In this article, we describe a new method that combines quantitative and qualitative data to study viewers’ experiences of different structural features of films. This method involves an online subjective response mechanism that can be used to capture and measure the experiences of different target audiences as they watch movies of different lengths.

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