MAXDAYS Asia

Every research project begins with a question—and MAXQDA opens new possibilities for discovering what your data can reveal. This session explores how MAXQDA enables the systematic analysis and meaningful interpretation of qualitative and mixed methods data. Whether you are an undergraduate, master’s, or doctoral researcher, or an experienced professional, discover how MAXQDA can sharpen your analytical thinking, illuminate patterns and meanings, and transform data into meaningful knowledge.

Prof. Jose Alejandro R. Belen, EdD

访谈稿、文献和笔记堆了一桌，却不知道如何下手？没用过 MAXQDA 也没关系。本课从认识界面开始，手把手带您走完基本流程：创建项目、导入数据、编码、撰写备忘录，再到可视化。学完后，您就可以打开软件，开始整理和分析自己的资料。

इस सेशन मेंहम MAXQDA सॉफ्टवेयर सेपरिचित होंगे। हम जानेंगेकि qualitative data analysis (गुणात्मक डटा े विश्लेषण) के लिए इसमेंकौन-कौन सी उपयोगी कार्य-र्यसविु धाएँउपलब्ध हैं। प्रतिभागी सॉफ़्टवेयर के इंटरफ़ेस सेपरिचित होंगे, शोध सामग्री को व्यवस्थित करना और डटा े आयात करना सीखेंगे, और कोडिगं की शरुआत ु करेंगे। इस सत्र मेंदिखाया जाएगा कि MAXQDA साक्षात्कारों, फ़ील्ड नोट्स और अन्य प्रकार केगुणात्मक डटा े के प्रबंधन और विश्लेषण मेंकिस प्रकार सहायक हो सकता है। / This session introduces MAXQDA and its key features for qualitative data analysis. Participants will become familiar with the software interface, learn how to organise research materials and import data, and get started with coding. The session will demonstrate how MAXQDA can support the management and analysis of interviews, field notes, and other forms of qualitative data.

In this session, we will explore how MAXQDA can be used to analyze interview data. In the webinar we will focus on how interviews can be analysed with Visual Tools and Mixed Methods function. The session will provide a practical walkthrough of the key steps in the analysis process and introduce you to MAXQDA’s essential functionalities.

コーディングにAIを利用することに関心はあるものの、どう使い始めればよいか迷っている方も多いのではないでしょうか。マニュアルコーディングに唯一の正解がないのと同じように、AIの取り入れ方も研究の目的やスタイルによって異なります。本セッションでは、コーディングの進め方に応じたAI Assist機能の使い分け、使い慣れた生成AIをMAXQDAでの分析に活かす方法などを紹介します。選択肢の全体像を示すことで、ご自身の研究にあったAIとの付き合い方を見つけるきっかけを提供します。

What if numbers revealed the patterns while participants’ voices illuminated the meanings behind them? This session explores how MAXQDA brings qualitative and quantitative data into meaningful dialogue, helping researchers integrate evidence, examine convergences and differences, and uncover deeper insights. Discover how mixed methods analysis can move research beyond isolated findings toward a richer, more nuanced, and more comprehensive understanding of the phenomenon under study.

Familiarising with data is a common initial analytic phase in many qualitative methods. This session considers how MAXQDA tools can contribute to the process, focusing on the use of paraphrasing, text exploration tools, and AI Chat as a form of reflexive practice.

Generative AI is changing qualitative analysis, and many researchers wonder whether they can benefit from it without giving up their role as the subject of the analytical process. In this session, my answer is yes: with the right interface, benefiting from AI and remaining the subject of one’s own analysis can go together. I will show how MAXQDA supports embodied analysis, analysis in which the researcher’s contact with the data is never cut off. The session is practical and conversational, and it is suitable for both new and experienced MAXQDA users.

访谈做完了，怎么分析？无论是面对面、线上还是电话访谈，或是焦点小组，本课都将在 MAXQDA 中完整演示分析五步：导入文字稿与录音、编码与自动编码、备忘录与摘要、可视化，最后导出报告。核心功能均在本机运行，中国大陆学员可全程跟做；结尾另设 AI 功能展示，供海外学员参考。

How can AI support the creative, iterative work of Grounded Theory without taking over the analysis? This session shows how MAXQDA’s core tools and AI Assist support key steps of Grounded Theory, from initial coding to theory building. First, you explore and reflect by getting to know the data and using AI to clarify concepts and surface your own assumptions. Then, you move on to coding and categorising through open coding with AI-suggested gerund codes and grouping them into higher-level categories. Finally, memoing and theory building involve reviewing memos for tensions, visualising relationships in MAXMaps and using AI chats to find data that challenge emerging ideas. You’ll leave with practical ideas for using AI as an assistant and as a critical friend, while keeping every insight grounded in your data.

Open-ended survey responses offer valuable opportunities for qualitative inquiry, but their analysis requires careful consideration of both methodological approach and the technologies we use. This spotlight session will explore how choosing between thematic analysis and content analysis shapes our engagement with survey data, including our assumptions about coding, interpretation and the knowledge we produce. Drawing on the concept of technological reflexivity and through selective demonstrations in MAXQDA, we will consider how software features and AI-assisted tools influence analytical decisions, and how researchers can use them thoughtfully and in keeping with their methodological commitments.

यह सत्र गुणात्मक शोध मेंविषयगत विश्लेषण की प्रक्रिया सेपरिचित कराता है। प्रतिभागी इसके प्रमखु चरणों को समझेंगे, जिनकी शरुआत ु डटा े सेपरिचित होनेऔर विश्लेषणात्मक टिप्पणियाँदर्ज करनेसेहोती है, और इसके बाद व्यवस्थित कोडिगं तथा प्रारंभिक विषयों का निर्माण किया जाता है। सत्र मेंयह दिखाया जाएगा कि MAXQDA, कोड को व्यवस्थित करने, विषयों के विकास और समीक्षा, तथा विषयों को परिष्कृत करनेऔर उनका नामकरण करनेमेंकिस प्रकार सहायक हो सकता है। सत्र मेंMAXQDA मेंनिर्मितर्मि AI उपकरणों का भी प्रदर्शनर्श किया जाएगा, जो गुणात्मक डटा े विश्लेषण के विभिन्न चरणों मेंसहायता कर सकतेहैं। इस सत्र का उद्देश्य MAXQDA का उपयोग करके विषयगत विश्लेषण करनेमेंप्रतिभागियों के कार्यकारी र्य कौशल को विकसित करना है / This session introduces the process of thematic analysis in qualitative research. Participants will explore the key stages, beginning with familiarisation with data and capturing analytical notes, followed by systematic coding and the generation of initial themes. The session will demonstrate how MAXQDA can facilitate the organisation of codes, development and review of themes, and refinement and naming of themes. The session will also demonstrate the latest AI tools built-in into MAXQDA that can assist different stages of qualitative data analysis. The session aims to develop participants‘ methodological understanding and practical skills in conducting thematic analysis using MAXQDA.