scholarly journals COMPUTERIZED QUALITATIVE TEXT ANALYSIS

2021 ◽  
pp. 220-240
Author(s):  
Anna G. Danilova ◽  
Olga V. Mitina
Keyword(s):  
Discourse Analysis ◽  
Data Analysis ◽  
Narrative Analysis ◽  
Text Analysis ◽  
Qualitative Data ◽  
The Internet ◽  
Computer Assisted ◽  
Applied Psychology ◽  
Software Packages ◽  
Methodological Problems

Relevance. In applied psychology, researchers are increasingly faced with the task of analyzing large amounts of text, both verbal and visual. For these purposes, various methods of analysis have been developed and various computer programs have been created. Objective. The possibilities of computerized qualitative text analysis are analyzed. The spectrum of problems solved by various methods of qualitative text analysis is considered. Methods. The theoretical analysis of classical methods of qualitative text analysis is carried out. The specificity of the method of computerized discourse analysis is analyzed. The Internet searched for the most popular programs for qualitative text analysis, considered the main options and requirements for working in the program. Results. Methods of content-, discourse-, intent-analysis, conversion and narrative analysis are briefly characterized. The computerized discourse analysis (CMDA) approach is described. An approach to solving problems of various methods of qualitative analysis of text in computer analysis of qualitative data (Computer Assisted Qualitative Data Analysis; CAQDAS) is presented. The possibilities of some software packages developed within the CAQDAS approach are considered. Conclusions. The advantages of using computerized discourse analysis are shown. The topic of research of methodological problems accompanying the use of CAQDAS is outlined.

A Survey of Selected Software Technologies for Text Mining

2009 ◽  
pp. 1164-1181
Author(s):  
Richard S. Segall ◽  
Qingyu Zhang
Keyword(s):  
Data Analysis ◽  
Text Mining ◽  
Text Analysis ◽  
Web Mining ◽  
Qualitative Data ◽  
Future Trends ◽  
Data Preparation ◽  
Software Packages ◽  
Visual Text ◽  
Key Steps

This chapter presents background on text mining, and comparisons and summaries of seven selected software for text mining. The text mining software selected for discussion and comparison in this chapter are: Compare Suite by AKS-Labs, SAS Text Miner, Megaputer Text Analyst, Visual Text by Text Analysis International, Inc. (TextAI), Magaputer PolyAnalyst, WordStat by Provalis Research, and SPSS Clementine. This chapter not only discusses unique features of these text mining software packages but also compares the features offered by each in the following key steps in analyzing unstructured qualitative data: data preparation, data analysis, and result reporting. A brief discussion of Web mining and its software are also presented, as well as conclusions and future trends.

Leveraging Two Computer-Assisted Qualitative Data Analysis Software Packages to Support Discourse Analysis

2015 ◽  
pp. 194-209 ◽  
Author(s):  
Jessica Nina Lester
Keyword(s):  
Discourse Analysis ◽  
Data Analysis ◽  
Qualitative Data ◽  
Computer Assisted ◽  
Analysis Software ◽  
Qualitative Data Analysis ◽  
Analysis Process ◽  
Video And Audio ◽  
Qualitative Data Analysis Software ◽  
Data Analysis Software

The purpose of this chapter is to illustrate how Computer-Assisted Qualitative Data Analysis Software (CAQDAS) packages, such as ATLAS.ti or Transana, can be used to support the transcription and data analysis process of large interactional data sets – specifically data analyzed from a discourse analysis perspective. Drawing from a larger ethnographic study, in this chapter the author illustrates how carrying out the transcription and analysis process within a CAQDAS package (in this case, Transana and ATLAS.ti) allows for an increase in transparency within the transcription and data analysis process, while also meeting the particular needs of the discourse analyst. By using one particular case/research study, the author demonstrates how CAQDAS packages might function to support a researcher in generating a more systematic and transparent analytical process, specifically during the early stages of the analysis process. The author gives particular attention to interactional data (i.e., 300 hours of video and audio recordings of therapy sessions) collected in a larger study and demonstrates the potential benefits of working across two CAQDAS packages, specifically Transana and ATLAS.ti, to support both the nuanced transcription process and the larger data analysis process.

A Survey of Selected Software Technologies for Text Mining

2010 ◽  
pp. 766-784 ◽  
Author(s):  
Richard S. Segall
Keyword(s):  
Data Analysis ◽  
Text Mining ◽  
Text Analysis ◽  
Web Mining ◽  
Qualitative Data ◽  
Future Trends ◽  
Data Preparation ◽  
Software Packages ◽  
Visual Text ◽  
Key Steps

This chapter presents background on text mining, and comparisons and summaries of seven selected software for text mining. The text mining software selected for discussion and comparison in this chapter are: Compare Suite by AKS-Labs, SAS Text Miner, Megaputer Text Analyst, Visual Text by Text Analysis International, Inc. (TextAI), Magaputer PolyAnalyst, WordStat by Provalis Research, and SPSS Clementine. This chapter not only discusses unique features of these text mining software packages but also compares the features offered by each in the following key steps in analyzing unstructured qualitative data: data preparation, data analysis, and result reporting. A brief discussion of Web mining and its software are also presented, as well as conclusions and future trends.

scholarly journals Utilizing Microsoft® Office to Produce and Present Recursive Frame Analysis Findings

2014 ◽  
Author(s):  
Ronald Chenail ◽  
Maureen Duffy
Keyword(s):  
Grounded Theory ◽  
Data Analysis ◽  
Conversation Analysis ◽  
Qualitative Data ◽  
Frame Analysis ◽  
Computer Assisted ◽  
Analysis Software ◽  
Software Packages ◽  
Qualitative Descriptive ◽  
Qualitative Data Analysis Software

Although researchers conducting qualitative descriptive studies, ethnographies, phenomenologies, grounded theory, and narrative inquiries commonly use computer-assisted qualitative data analysis software (CAQDAS) to manage their projects and analyses, investigators conducting discursive methodologies such as discourse or conversation analysis seem to find such software packages not as useful. In our work with Recursive Frame Analysis (RFA), a systemic approach to the analysis of text and talk, we have taken a slightly different route by utilizing Microsoft® Office applications to produce and present our RFA findings. In the paper we describe RFA, explain how we use Word and PowerPoint to carry out RFA's semantic, sequential, and pragmatic analyses, and illustrate our work with some examples from a recent study.

scholarly journals Computer assistance and the evolution of qualitative data analysis

2001 ◽  
pp. 63-82
Author(s):  
Räsänen Pekka
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Qualitative Data ◽  
Computer Assisted ◽  
Qualitative Data Analysis ◽  
Use Of Data ◽  
Software Packages ◽  
Computer Assistance ◽  
Data Processing Computer ◽  
Methodological Approaches

The aim of the paper is to examine the emergence of computer assistance in qualitativeresearch and to describe its impact on research practices. The use of data analysisprograms is approached from methodological frameworks ofbasic and structured qualitativeapproaches. Computer use is also examined from the viewpoint of concreteoperations of data analysis. Particularly the new features, which software packages areclaimed to have brought to data analysis, are discussed in the paper.It is argued that computer assisted techniques provide possibilities fr developing theoften impressionistic qualitative data analysis procedures into something more integrated,explicit and systematic. However, it is also emphasised that analysis programsthemselves do not represent any methodological approaches. By offering a special toolkitfr data processing, computer assistance should be understood only as an attempt toenhance analytic practices in qualitative research.

Leveraging Two Computer-Assisted Qualitative Data Analysis Software Packages to Support Discourse Analysis

2015 ◽  
pp. 893-908
Author(s):  
Jessica Nina Lester
Keyword(s):  
Discourse Analysis ◽  
Data Analysis ◽  
Qualitative Data ◽  
Computer Assisted ◽  
Analysis Software ◽  
Qualitative Data Analysis ◽  
Analysis Process ◽  
Video And Audio ◽  
Qualitative Data Analysis Software ◽  
Data Analysis Software

The purpose of this chapter is to illustrate how Computer-Assisted Qualitative Data Analysis Software (CAQDAS) packages, such as ATLAS.ti or Transana, can be used to support the transcription and data analysis process of large interactional data sets – specifically data analyzed from a discourse analysis perspective. Drawing from a larger ethnographic study, in this chapter the author illustrates how carrying out the transcription and analysis process within a CAQDAS package (in this case, Transana and ATLAS.ti) allows for an increase in transparency within the transcription and data analysis process, while also meeting the particular needs of the discourse analyst. By using one particular case/research study, the author demonstrates how CAQDAS packages might function to support a researcher in generating a more systematic and transparent analytical process, specifically during the early stages of the analysis process. The author gives particular attention to interactional data (i.e., 300 hours of video and audio recordings of therapy sessions) collected in a larger study and demonstrates the potential benefits of working across two CAQDAS packages, specifically Transana and ATLAS.ti, to support both the nuanced transcription process and the larger data analysis process.

Digital Diffusion in Newsrooms: The Uneven Advance of Computer-Assisted Reporting

2000 ◽  
Vol 21 (2) ◽  
pp. 95-110 ◽  
Author(s):  
Scott R. Maier
Keyword(s):  
Data Analysis ◽  
The Internet ◽  
Computer Assisted ◽  
Digital Diffusion

A survey of CAR trainers found that half of reporters at respondent newspapers do not routinely use the Internet for research. Trainers estimate that 10 percent of reporters used computers for data analysis.

scholarly journals THE MALAY PRINCIPAL FORM: A STUDY OF ROOF DECORATIVE ELEMENTS OF RUMAH LIMAS BUMBUNG PERAK

2021 ◽  
Vol 8 (1) ◽  
pp. 57
Author(s):  
Iryani Abdul Halim Choo ◽  
Mohd. Sabrizaa Abd Rashid ◽  
Kartina Alauddin ◽  
Nazrul Helmy Jamaludin
Keyword(s):  
Data Analysis ◽  
Qualitative Data ◽  
Belief System ◽  
The Other ◽  
Computer Assisted ◽  
Analysis Software ◽  
Qualitative Data Analysis ◽  
Qualitative Data Analysis Software ◽  
Data Analysis Software

This research aims to identify the Malay principal form in the roof decorative elements of Rumah Limas Bumbung Perak (RLBP). Through site observation, the data is collected in the form of images and analysed using the CAQDAS (Computer Assisted Qualitative Data Analysis Software) of Atlas Ti. 8. The findings of the research found that there are four Malay principal forms; Gunungan, Buah Guntung, Lebah Bergantung and Pohon Beringin present in the roof decorative elements of RLBP. The similarity and uniformity in the engagement of the form and its meaning is identifiable with the traditional houses of the other region which indicates a uniform understanding of the belief system and practises of the craftsmens throughout the Peninsula.

scholarly journals Aproximações entre curadoria digital e CAQDAS: uma revisão sistemática de literatura

2021 ◽  
Vol 17 (48) ◽  
pp. 1-24
Author(s):  
Katia Alexandra de Godoi e Silva ◽  
António Pedro Costa
Keyword(s):  
Data Analysis ◽  
Qualitative Data ◽  
Computer Assisted ◽  
Analysis Software ◽  
Qualitative Data Analysis ◽  
Qualitative Data Analysis Software ◽  
Data Analysis Software

Este artigo propõe contribuir para a reflexão sobre o processo de curadoria digital, no intuito de discorrer sobre algumas das principais concepções sobre curadoria digital em diferentes contextos, tanto por autores brasileiros quanto estrangeiros, de modo a elucidar e aproximar o tema na organização e gestão de dados em Computer Assisted Qualitative Data Analysis Software (CAQDAS). Para alcançar tal objetivo, esta pesquisa se utilizou de metodologia qualitativa de cunho descritivo, possibilitada por uma revisão sistemática da literatura de trabalhos científicos sobre o tema da curadoria digital, a partir de buscas em uma base de dados acadêmicas (Scopus) e em uma base da literatura cinzenta (Banco de Teses e Dissertações da Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES). Como resultados, constatou-se que as concepções sobre curadoria digital convergem para diferentes práticas de curadoria de conteúdo, curadoria digital de dados de pesquisa ou eScience e curadoria digital. Também constatou-se que a curadoria digital pode ser aplicada em diferentes contextos, como bases de dados colaborativas, redes sociais, repositórios, gerenciadores de dados qualitativos, preservação do acervo de objetos culturais digitais, além da organização de dados qualitativos em CAQDAS e também como proposta metodológica no processo de ensino.

scholarly journals A Call for Enhancing Saturation at the Qualitative Data Analysis Stage via the Use of Multiple Qualitative Data Analysis Approaches

2019 ◽  
Author(s):  
Amber Sechelski ◽  
Anthony Onwuegbuzie
Keyword(s):  
Qualitative Research ◽  
Discourse Analysis ◽  
Data Analysis ◽  
Qualitative Data ◽  
Research Process ◽  
Comparison Analysis ◽  
Qualitative Data Analysis ◽  
Data Analyses ◽  
Multiple Data

The analysis of data represents the most important and difficult step in the qualitative research process. Thus, recently, a few authors have written methodological works that contain discussion of an array of qualitative data analysis approaches. Yet, despite the call of Leech and Onwuegbuzie (2007) a decade ago for qualitative researchers to analyze a given set of qualitative data in multiple ways, this practice has been largely ignored. Thus, in this article, we bolster the argument for conducting multiple data analyses. In particular, we use data stemming from an interview to demonstrate how using five qualitative data analysis approaches (e.g., constant comparison analysis, discourse analysis) helped to enhance what we refer to as analysis saturation, thereby increasing verstehen (i.e., understanding).

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