Abstract
One of the first precautions that a consumer/user has when acquiring a new product is related to how to use it. In this context, the user manuals can be assumed as one of the main communication channels between the companies that develop the products and the user. Regarding the use of software packages, literature indicates that one of the decisive factors for user’s dissatisfaction is related to the difficulty in learning how to work with a software. In this context, Qualitative Data Analysis Software (QDAS) enterprises are increasingly looking to develop features that can decrease user’s learning curve of their tools. In this way, this chapter illustrates a comparison of user support features, such as: support and typology of the User Manual; Training; Tutorials; Forums; Frequently asked questions (FAQ’s); Workshops. Through a systematic exploration of the native sites guided by a dedicated checklist, it was sought to identify the singularities of the resources to support (self)learning of the different software packages. In order to systematize the offers that each user can find, enabling him/her to choose the package that provides the solutions that best respond to his/her learning style. It was concluded that among the different software packages there are no noteworthy disparities, only in two packages analysed there were shortcomings in the offer of formative and autonomous learning.
Keywords
- Qualitative analysis software
- User guide
- Self-learning
- NVivo
- Atlas.ti
- Dedoose
- webQDA
- MAXQDA
- QDA Miner
This is a preview of subscription content, access via your institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Costa, A.P., De Souza, F.N., Reis, L.P.: Necessitamos realmente de metodologias qualitativas na investigação em educação? Rev. Lusófona Educ. 29, 27–30 (2015)
Baugh, J., Hallcom, A.S., Harris, M.E.: Computer assisted qualitative data analysis software: a practical perspective for applied research. Rev. del Inst. Int. Costos. enero/juni (2010)
Pinho, I., Rodrigues, E., de Souza, F.N. Lopes, G.: Determinantes na Adoção e Recomendação de Software de Investigação Qualitativa: Estudo Exploratório. Internet Latent Corpus J. 4 (2014)
Einspänner, J., Dang-Anh, M., Thimm, C.: Computer-assisted content analysis of Twitter data. In: Weller, K., Bruns, A., Burgess, J., Mahrt, M., Puschmann, C. (eds.) Twitter and Society, p. 435. Peter Lang Publishing, New York (2014)
Eranki, K.L.N., Moudgalya, K.M.: Comparing the effectiveness of self-learning java workshops with traditional classrooms. Educ. Technol. Soc. 19, 59–74 (2016)
Kolb, A.Y., Kolb, D.A.: The Kolb Learning Style Inventory—Version 3.1 2005 Technical Specifications (2005)
Inal, Y., Güner, H.: Ensuring success in a large scale software project: an examination of the learning styles and characteristics of the potential end users. Gazi Univ. J. Sci. 4, 535–540 (2015)
Pashler, H., Mcdaniel, M., Rohrer, D., Bjork, R.: Learning styles concepts and evidence. Psychol. Sci. Public Interes. 9, 105–119 (2009)
Silver, C., Rivers, C.: The CAQDAS Postgraduate Learning Model: an interplay between methodological awareness, analytic adeptness and technological proficiency. Int. J. Soc. Res. Methodol. 19, 593–609 (2015)
Silver, C., Woolf, N.H.: From guided-instruction to facilitation of learning: the development of Five-Level QDA as a CAQDAS pedagogy that explicates the practices of expert users. Int. J. Soc. Res. Methodol. 18, 527–543 (2015)
di Gregorio, S.: Is qualitative software really comparable? Reflections on “the Experiment”: an “Expert” view. Forum Qual. Soc. Res. 12 (2011)
Reis, L.P., Costa, A.P., de Souza, F.N.: A survey on computer assisted qualitative data analysis software. In: 2016 11th Iberian Conference on Information Systems and Technologies (CISTI), pp. 1–6. AISTI, Gran Canaria (2016)
Bazeley, P., Jackson, K.: Qualitative Data Analysis with NVivo. Sage Publications, London (2013)
QSR software: Discover the NVivo Suite
Atlas.ti: ATLAS.ti: Quality Software Developed in Germany. http://atlasti.com/about-atlas-ti/
Walter, S.A., Bach, T.M.: Adeus Papel, Marca-Textos, Tesoura e Cola: Inivando o Processo de Análise de Conteúdo por meio do Atlas.ti. Adm. Ensino e Pesqui. 16, 275 (2015)
Jakub NiedbalskiŚlęzak, I.: Computer assisted qualitative data analysis software. Using the NVivo and Atlas.ti in the research projects based on the methodology of grounded theory. Springer International Publishing, Cham (2017)
Brito, M.J.M., da Silva Caram, C., Montenegro, L.C., Rezende, L.C., Rennó, H.M.S., Ramos, F.R.S.: Potentialities of Atlas.ti for data analysis in qualitative research in nursing. In: Costa, A.P., Reis, L.P., Neri de Sousa, F., Moreira, A., Lamas, D. (eds.) Computer Supported Qualitative Research, pp. 75–84. Springer International Publishing, Cham (2017)
Atlas.ti: What is ATLAS.ti? http://atlasti.com/product/what-is-atlas-ti/
Dedoose: Meet Dedoose. http://www.dedoose.com/userguide/meetdedoose/whatisdedoose#WhatIsDedoose
Talanquer, V.: Using qualitative analysis software to facilitate qualitative data analysis. In: Bunce, D.M., Cole, R.S. (eds.) Tools of Chemistry Education Research, pp. 83–95. American Chemical Society, Washington (2014)
Dedoose: Features. http://www.dedoose.com/home/features
Dedoose: Security Workspace and Teamwork. http://www.dedoose.com/userguide/collaborationandsecurity/securityworkspaceandworkingwithteammembers#SecurityWorkspaceAndWorkingWithTeamMembers
webQDA: O webQDA. https://www.webqda.net/acerca/o-webqda/
de Souza, D.N., Costa, A.P., Neri de Sousa, F.: Desafio e Inovação do Estudo de Caso com Apoio das Tecnologias. In: Neri de Souza, F., Neri de Souza, D., Costa, A.P. (eds.) Investigação Qualitativa: Inovação, Dilemas e Desafios. Ludomedia, Oliveira de Azeméis (2015)
MAXQDA: MAXQDA. http://www.maxqda.com
MAXQDA: Welcome. http://www.maxqda.com/en/support/help/maxqda-12/
Provalis Research: Text Analysis Tools. https://provalisresearch.com/products/
Lewis, R.B., Maas, S.M.: QDA Miner 2.0: mixed-model qualitative data analysis software. Field Meth. 19, 87–108 (2007)
Derobertmasure, A., Robertson, J.E.: Data analysis in the context of teacher training: code sequence analysis using QDA Miner®. Qual. Quant. 48, 2255–2276 (2014)
Provalis Research: Qualitative Data Analysis Software. https://provalisresearch.com/products/qualitative-data-analysis-software/
Provalis Research: Technical Information. https://provalisresearch.com/products/qualitative-data-analysis-software/qda-miner-technical-information/
Provalis Research: User Guide. https://provalisresearch.com/uploads/QDAMiner5UserGuide.pdf
Neri de Souza, F., Almeida, P.A.: Investigação em Educação em Ciência baseada em dados provenientes da internet. In: XIII Encontro Nacional De Educação Em Ciências. Escola Superior de Educação, Instituto Politécnico de Castelo Branco, Castelo Branco (2009)
Hewson, C., Yule, P., Laurent, D., Vogel, C.: Internet Research Methods: A Practical Guide for the Social and Behavioural Sciences. Sage Publications, London (2003)
Freitas, F., Neri de Souza, F., Costa, A.P.: O Manual de Utilizador de um Software de Análise Qualitativa: as perceções dos utilizadores do webQDA. Rev. lbérica Sist. Tecnol. Informação 19, 107–117 (2016)
Silver, C., Rivers, C.: The CAQDAS Postgraduate Learning Model: an interplay between methodological awareness, analytic adeptness and technological proficiency. Int. J. Soc. Res. Methodol. 19, 593–609 (2016)
Moudgalya, K.M.: Pedagogical and Organisational Issues in the Campaign for IT Literacy Through Spoken Tutorials. Presented at the (2014)
Oliveira, T., Morgado, L.: Aprendizagem Colaborativa nos Fóruns online - Estudo de Caso no Ensino Superior. In: Conferência online de Informática Educacional. Universidade Aberta, Lisboa (2012)
Acknowledgements
As an epilogue, we would like to thank the Foundation for Science and Technology (FCT) and the Centre for Research “Didactics and Technology in the Training of Trainers (CIDTFF) for the financial support granted in this study.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Freitas, F., Ribeiro, J., Brandão, C., de Souza, F.N., Costa, A.P., Reis, L.P. (2018). In Case of Doubt See the Manual: A Comparative Analysis of (Self)Learning Packages Qualitative Research Software. In: Costa, A., Reis, L., Souza, F., Moreira, A. (eds) Computer Supported Qualitative Research. ISQR 2017. Advances in Intelligent Systems and Computing, vol 621. Springer, Cham. https://doi.org/10.1007/978-3-319-61121-1_16
Download citation
DOI: https://doi.org/10.1007/978-3-319-61121-1_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-61120-4
Online ISBN: 978-3-319-61121-1
eBook Packages: EngineeringEngineering (R0)