A Practical Guide to Thematic Analysis with MS Word and Excel

This video tutorial addresses a common methodological challenge in qualitative research: the efficient and systematic analysis of textual data when specialized software is unavailable. Quite often, I find research student I work with are looking for qualitative analytical techniques without having to access dedicated Qualitative Data Analysis Software (QDAS). This 30-minute guide offers a practical solution by demonstrating a clear and accessible method for conducting thematic analysis utilizing widely available Microsoft Office Suite applications: MS Word and Excel.

Thematic analysis, a foundational method in qualitative methods, involves identifying, organizing, and interpreting patterns of meaning (themes) across a dataset. This video provides a step-by-step approach to this process, adapted for implement within a standard word processing programme and a spreadsheet application. This approach can be beneficial for researchers with limited resources or those seeking a transparent and auditable research workflow.

Thematic Analysis with MS Word and Excel by Suranga Jayasena

Guidance for Engaging with this Tutorial:

To maximize the utility of this guide, viewers are encouraged to follow along with their own qualitative data or a sample dataset. The tutorial will cover the following key stages:

  • Data Preparation in MS Word: Learn techniques for organizing and annotating your textual data within a Word document to facilitate systematic coding.
  • Utilizing the “Extract Comments to New Document” Macro: This step uses a custom MS Word macro, developed by Lene Fredborg (available for download here) to efficiently extract coded segments and their corresponding labels into a new document. It is recommended that you navigate to this link and install the macro prior to commencing the data analysis steps demonstrated in the video.
  • Theme Development and Organization in MS Excel: Discover how to import the extracted codes into Excel for further organization and categorization. This section will cover techniques for sorting and filtering to bring back thematic blocks of coded data to MS Word to facilitate the inductive development of qualitative interpretations.

By the end of this tutorial, you will gain a practical understanding of how to conduct a rigorous thematic analysis using familiar software, thereby enhancing your capacity for in-depth qualitative data interpretation.

Best Wishes!

AFU: a Framework to Aid BIM Adoption in a BIM Infant Industry

The Affordance-Led Framework of Understanding (AFU) is a structured approach designed to assess the state of BIM affordances at a given moment and study their evolution over time. The term “affordance-led” is used because it centres around the concept of affordances. Affordances represent the perceived, expected, or real opportunities (and constraints) that a technology or system provides to its users. It’s crucial to understand that affordances are not intrinsic to the innovation itself but emerge from the interaction between the user and the innovation. Thus, it represents the complementarity between the user and the technology or the system. This departure from traditional innovation adoption models, which typically focused solely on the “innovation” itself while overlooking the subjective interpretation by users, is a distinguishing feature of the AFU. The subjectivity of what BIM means to different users further emphasizes the significance of this shift.

The AFU is based on a comprehensive framework that categorizes the various states of affordances at any given time. It offers a unified, interconnected framework for comprehending the status and dynamics of affordances within a user’s BIM adoption context. By using the AFU, adopters can assess their position in the BIM adoption process at any specific point and develop strategies to realize the expected dynamics of affordances, thereby ensuring the successful integration of BIM or informed withdrawal from their BIM adoption efforts. The AFU provides a detailed view of the context, enabling experts to focus on critical issues, making it a valuable resource for practitioners seeking to understand the status of BIM adoption within a given setting.

At the early stages of BIM diffusion within an industry, the importance of the AFU is significant because the failure of adoption by a few early adopters can lead to increased user dissatisfaction, negative word-of-mouth, and potential erosion of goodwill among adopters. Negative information spreads more rapidly than positive news, significantly disrupting the effective diffusion of BIM in the industry. Therefore, the success of BIM adoption at the micro-level, for individuals or small groups, is critical for the overall success of BIM diffusion in an emerging industry, often referred to as a BIM Infant Industry in theory.

While we have not explicitly addressed it, after reading this article, you will realize that the AFU can be applied to various other innovation adoption contexts. The AFU serves as a universally applicable foundational framework in the realm of innovation adoption processes. It is not a theory in itself but rather a theoretical framework that can be leveraged to comprehend BIM adoption and decision-making in other innovation adoption contexts. As innovation continues to reshape industries, the insights offered by the AFU will play a vital role in informed decision-making and the promotion of innovation diffusion across diverse sectors. We are optimistic that the AFU will introduce a new dimension to the study of innovation adoption.

This article serves as a condensed overview of the recent publication under the title “The Affordance-Led Framework for Understanding BIM Adoption” in Archnet-IJAR: International Journal of Architectural Research, presenting the primary findings from my doctoral research. In this study, a framework was developed to aid BIM adopters, change agents, and other stakeholders in gaining a deeper understanding of the adoption context, thereby facilitating effective strategies for BIM adoption. This research is grounded in the theory of Diffusion of Innovations.

I would like to express my gratitude to my research supervisors, Professor Kanchana Perera and Associate Professor Niraj Thurairajah, as well as Dr Mohan Siriwardena, the chair of the progress panel, for their invaluable contributions that played a pivotal role in the successful completion of my doctoral study. I would also like to express my gratitude to Professor Chitra Weddikkara, who provided guidance and supervision during the initial phases of my study.

Citation to Original Article
Jayasena, H.S., Thurairajah, N., Perera, B.A.K.S. and Siriwardena, M. (2023), “Affordance-led framework of understanding of BIM adoption“, Archnet-IJAR, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/ARCH-02-2023-0028

Publisher: Emerald Publishing Limited
Copyright © 2023, Emerald Publishing Limited

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Mind Mapping Your Initial Research Interest

Mind mapping is a graphical technique used to visually organize information and ideas. It is a creative and effective tool for organizing thoughts. In this presentation, I explain how you can effectively use MindMup 2, a free tool for mind mapping, to organize your initial ideas when you are starting your research.


Click on double-sided arrow on bottom-right of the presentation to make it full-screen.

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