"Sociologist of education Annette Lareau is renowned in her field for her compassionate ethnographic work and the insightful ideas she's able to draw from it. With Listening to People, she has given us an extremely practical guide to doing the kind of work she has been celebrated for. Lareau covers just about everything a social scientist needs to know--formulating a topic and honing it down to a good research question, obtaining IRB approval, finding a site and making introductions, conducting high-quality interviews and participant--observation, taking good notes and writing them up later, analyzing the data, and best of all, making clear how much the data analysis and the writing are part of the same process. Her tone throughout is about as straightforward as it gets, and she very generously shares stories of her own mistakes, missteps, and anxieties. Written for students and scholars in sociology, education, communications, social work, and possibly political science, anthropology, and related fields, the book will be an indispensable guide for graduate students and faculty in the social sciences (broadly conceived), and is even suitable for undergraduates"-- Provided by publisher.
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Automated Analysis of Human Performance Data could help to understand and possibly predict the performance of the human. To inform future research and enable Automated Analysis of Human Performance Data a systematic mapping study (scoping study) on the state-of-the-art knowledge is performed on three interconnected components(i)Human Performance (ii) Monitoring Human Performance and (iii) Automated Data Analysis. Using a systematic method of Kitchenham and Charters for performing the systematic mapping study, resulted in a comprehensive search for studies and a categorisation the studies using a qualitative method. This systematic mapping review extends the philosophy of Shyr and Spisic, and Knuth and represents the state-of-art knowledge on Human Performance,Monitoring Human Performance and Automated Data Analysis
In the course of our supervisory work over the years, we have noticed that qualitative research tends to evoke a lot of questions and worries, so-called frequently asked questions (FAQs). This series of four articles intends to provide novice researchers with practical guidance for conducting high-quality qualitative research in primary care. By ‘novice’ we mean Master’s students and junior researchers, as well as experienced quantitative researchers who are engaging in qualitative research for the first time. This series addresses their questions and provides researchers, readers, reviewers and editors with references to criteria and tools for judging the quality of qualitative research papers. The second article focused on context, research questions and designs, and referred to publications for further reading. This third article addresses FAQs about sampling, data collection and analysis. The data collection plan needs to be broadly defined and open at first, and become flexible during data collection. Sampling strategies should be chosen in such a way that they yield rich information and are consistent with the methodological approach used. Data saturation determines sample size and will be different for each study. The most commonly used data collection methods are participant observation, face-to-face in-depth interviews and focus group discussions. Analyses in ethnographic, phenomenological, grounded theory, and content analysis studies yield different narrative findings: a detailed description of a culture, the essence of the lived experience, a theory, and a descriptive summary, respectively. The fourth and final article will focus on trustworthiness and publishing qualitative research.
