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Systematické prístupy k analýze dát z Metódy kritických rozhodnutí

100%
Sedlár M.
Psychologie a její kontexty
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2015
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vol. 6
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issue 2
79-93
EN
The aim of the present paper is to introduce how to analyse the qualitative data from the Critical Decision Method. At first, characterizing the method provides the meaningful introduction into the issue. This method used in naturalistic decision making research is one of the cognitive task analysis methods, it is based on the retrospective semistructured interview about critical incident from the work and it may be applied in various domains such as emergency services, military, transport, sport or industry. Researchers can make two types of methodological adaptation. Within-method adaptations modify the way of conducting the interviews and cross-method adaptations combine this method with other related methods. There are many decsriptions of conducting the interview, but the descriptions how the data should be analysed are rare. Some researchers use conventional approaches like content analysis, grounded theory or individual procedures with reference to the objectives of research project. Wong (2004) describes two approaches to data analysis proposed for this method of data collection, which are described and reviewed in the details. They enable systematic work with a large amount of data. The structured approach organizes the data according to an a priori analysis framework and it is suitable for clearly defined object of research. Each incident is studied separately. At first, the decision chart showing the main decision points and then the incident summary are made. These decision points are used to identify the relevant statements from the transcript, which are analysed in terms of the Recognition-Primed Decision Model. Finally, the results from all the analysed incidents are integrated. The limitation of the structured approach is it may not reveal some interesting concepts. The emergent themes approach helps to identify these concepts while maintaining a systematic framework for analysis and it is used for exploratory research design. It is based on the grounded theory which it shares with only that it enables the concepts to emerge themselves. All incident are analysed at the same time. At the beginning of the procedure it is necessary to find broad themes and within them to identify specific themes with relevant excerpts from the transcripts, which are then decomposed according to the structure describing the decision making process. In the final stage the narratives are written on the base of the information synthesis. A disadvantage of this data analysis can be greater difficulty, especially for inexperienced qualitative researchers. Obviously, the findings from both approaches should be used to facilitate the nature of the cognitive work. Recommendation are given in the conclusion.
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Multivariate data in the estimation of consumer risk

100%
Brzezińska J., Maciejewski G.
Econometrics. Ekonometria. Advances in Applied Data Analytics
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2015
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issue 3 (49)
20-32
EN
The risk of consumer behaviour, as a part of the widely understood studies on risk, is still an uncharted and undiscovered area of human activity. The main goal of this paper is to draw attention to the issue of the measurement of risk perceived by the consumers` unsuccessful purchase, as well as presenting a multidimensional analysis of data on risk research perceived by consumers in the decision making process. Some of the well-known multivariate methods are presented: analysis of variance, correspondence analysis and some graphical methods for categorical data analysis, such as mosaic, sieve, association and doubledecker plot. In the paper, the qualitative analysis aimed at risk identification and interpretation in the decisions process of consumers will be conducted. The exploration of different types of risks and the influence on consumer behaviour will be identified. The perception of risk was examined based on the examples of food, home appliances and travel services (trips, holidays).
3
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Wizualna teoria ugruntowana. Podstawowe zasady i procedury

75%
Konecki K. T.
Przegląd Socjologii Jakościowej
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2012
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vol. 8
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issue 1
12-45
EN
The article presents the basic concepts and methodological procedures of grounded theory methodology that uses visual data and is called visual grounded theory. It uses the visual data to con¬struct categories, theoretical properties of categories for action and visual phenomena that manifest themselves as processes. Present article introduces, therefore, the rules and procedures for visual grounded theory based on both my own, and other authors research experience. In order to bet¬ter illustrate the procedures in question, there are presented examples of these studies. The visual analysis is conducted at four levels: creating an image, its presentation, its content and structure and its reception. It is the basis for the concept of multislice imagining and visual grounded theory helps to reconstruct it.
4
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Workshops as an Essential Practice in Doing Biographical Research

63%
Kaźmierska K., Wygnańska J.
Przegląd Socjologii Jakościowej
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2019
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vol. 15
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issue 2
164-177
PL
Celem artykułu jest refleksja na temat wartości pracy warsztatowej w metodzie biograficznej. Wspólna praca nad tekstem jest nie tylko elementem pracy analitycznej, ale powinna być uznana za jeden z niezbędnych kroków procedury analitycznej prowadzącej do refleksji teoretycznej. Artykuł składa się z następujących części: krótkiej prezentacji historii idei warsztatów analitycznych w polu badań biograficznych zwłaszcza w odniesieniu do pracy ze studentami; opisu korzyści charakterze edukacyjnym, analitycznym i teoretycznym, jakie płynąć mogą z pracy zespołowej; charakterystyki konkretnych przykładów warsztatowej pracy badawczej i jej rezultatów w formie tekstów pokazujących różne podejścia analityczne i teoretyczne.
EN
The aim of the paper is to share our reflections on the meaning, goals, and course of analytical workshops, which are treated by the authors not only in terms of methodological procedures, but also as a process of grounded theory building, where the phase of collective work is pivotal. We present the idea of workshops worked out within interpretative sociology and qualitative analysis and developed in different fields, yet we mainly focus on biographical research analysis. The knowledge and practice transfer between scholars in this respect is also one of the frames of our reasoning. The paper consists of several sections: firstly, we present a short overview of workshop practices in the field of biographical research referring mainly to students’ workshops; in the second part, we describe advantages of workshop practices for researchers and their possible outcomes; the third section describes examples of research and analysis of the same empirical material done by researchers representing different methodological approaches; finally, we finish with concluding remarks.
5
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Analiza sentymentu – metoda analizy danych jakościowych. Przykład zastosowania oraz ewaluacja słownika RID i metody klasyfikacji Bayesa w analizie danych jakościowych

45%
Tomanek K.
Przegląd Socjologii Jakościowej
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2014
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vol. 10
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issue 2
118-136
PL
Celem artykułu jest prezentacja podstawowych metod klasyfikacji jakościowych danych tekstowych. Metody te korzystają z osiągnięć wypracowanych w takich obszarach, jak przetwarzanie języka naturalnego i analiza danych nieustrukturalizowanych. Przedstawiam i porównuję dwie techniki analityczne stosowane wobec danych tekstowych. Pierwsza to analiza z zastosowaniem słownika tematycznego. Druga technika oparta jest na idei klasyfikacji Bayesa i opiera się na rozwiązaniu zwanym naiwnym klasyfikatorem Bayesa. Porównuję efektywność dwóch wspomnianych technik analitycznych w ramach analizy sentymentu. Akcentuję rozwiązania mające na celu zbudowanie trafnego, w kontekście klasyfikacji tekstów, słownika. Porównuję skuteczność tak zwanych analiz nadzorowanych do skuteczności analiz zautomatyzowanych. Wyniki, które prezentuję, wzmacniają wniosek, którego treść brzmi: słownik, który w przeszłości uzyskał dobrą ocenę jako narzędzie klasyfikacyjne, gdy stosowany jest wobec nowego materiału empirycznego, powinien przejść fazę ewaluacji. Jest to, w proponowanym przeze mnie podejściu, podstawowy proces adaptacji słownika analitycznego, traktowanego jako narzędzie klasyfikacji tekstów.
EN
The purpose of this article is to present the basic methods for classifying text data. These methods make use of achievements earned in areas such as: natural language processing, the analysis of unstructured data. I introduce and compare two analytical techniques applied to text data. The first analysis makes use of thematic vocabulary tool (sentiment analysis). The second technique uses the idea of Bayesian classification and applies, so-called, naive Bayes algorithm. My comparison goes towards grading the efficiency of use of these two analytical techniques. I emphasize solutions that are to be used to build dictionary accurate for the task of text classification. Then, I compare supervised classification to automated unsupervised analysis’ effectiveness. These results reinforce the conclusion that a dictionary which has received good evaluation as a tool for classification should be subjected to review and modification procedures if is to be applied to new empirical material. Adaptation procedures used for analytical dictionary become, in my proposed approach, the basic step in the methodology of textual data analysis.
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