Qualitative Housing Analysis

Offers a theoretical and empirical perspective on the value, potential and contribution that qualitative research methodologies bring to the analysis of housing policy issues within an international context. This book also includes discussion of specific methodological challenges and ethical dilemmas faced by researchers.

This book explains how to use and adapt these techniques and how to integrate these methods with more traditional qualitative research. Chapters offer step-by-step guidance to setting up various kinds of qualitative research projects, collecting data, organizing data, and analyzing data. Case studies show how a mix of qualitative and quantitative research can help planners build consensus and tackle large, complicated projects.

The housing component of supportive housing can take a variety of social and physical forms ranging from dispersed apartments to cooperative houses. This project addresses the research question: What housing form is more supportive for people with mental health problems: private apartments of congregate housing that combines private space with some shared spaces/ is it privacy, autonomy and "normalcy" or community, peer support and camaraderie that support well-being? The research literature is divided on this question. This study was conducted among current and recent residents of supportive housing. Qualitative research techniques were used to encourage residents to express their views and preferences about housing environments that they consider to be supportive. The project had two parts. The first part was a series of group discussions on housing preferences among residents of one supportive housing agency. Second, in a more "hands-on" approach, participants spent a weekend designing a "dream house" for supportive housing. Some 20 supportive housing residents were recruited to form two charrette teams, each of which actually designed a supportive housing environment based on either the principle of privacy or community. The two teams worked intensively over the course of a single weekend in winter 1996 to produce a schematic plan for the design of a supportive housing structure which emphasizes either the principle of privacy or community. Each team worked with an architect who served as a technical consultant, translating the team members' ideas into drawings. Each team produced a series of rough drawings representing its house plan. Despite their different terms of reference, the two teams developed designs that were essentially similar. The results support the conclusion that both private space and common space are important elements of supportive housing.

Are you new to qualitative research? Are you planning to do interviews or focus groups and wondering what on earth you′ll do with the data once it′s collected? Do you have a pile of transcripts staring at you right now and are you lost as to how to identify themes, code your data and work out what it all means? Fear not, help is here! In this brilliant new book, Jamie Harding breaks down the process of analysing qualitative data into simple, retraceable steps. After providing some top tips for designing your research and collecting your data, he takes you through the different stages of analysis, from the first reading of your transcripts, to presenting your findings in a report or dissertation. For each stage of the process there are demonstrations using real data and exercises for you to perform yourself. He unpicks what happens behind the scenes in qualitative data analysis - the bit that′s hard to learn without seeing it happen and trying it for yourself. While acknowledging that there are many different forms that qualitative data analysis can take, the book provides a series of ideas and examples that you will find invaluable when analysing your own data. This book is perfect for all social science students who are struggling with data analysis and are looking for someone to guide the way.

Winner of the 2020 Anselm Strauss Award for Qualitative Family Research, National Council on Family Relations. How is qualitative data actually collected, analyzed, and accomplished? Real stories of How Qualitative Data Analysis Occurs: Moving Beyond "Themes Emerged" offers an in-depth look into how qualitative social science researchers studying family issues and dynamics approach their data analyses. It moves beyond the usual vague statement of "themes emerged from the data" to show readers how researchers actively and consciously arrive at their themes and conclusions, revealing the complexity and time involved in making sense of thousands of pages of interview data, multiple data sources, and diverse types of data. How Qualitative Data Analysis Occurs focuses on a diversity of topics in family research across the life course. The various authors provide detailed narratives into how they analyzed their data from previous publications, and what methodologies they used, ranging from arts-based research, autoethnography, community-based participatory research, ethnography, grounded theory, to narrative analysis. Supplemental figures, images, and screenshots which are referred to in the chapters, are included in an accompanying eResource, as well as links to the previously published work on which the chapters are based. This book is an invaluable resource for experienced and novice qualitative researchers throughout the social sciences.

Advocates a 'pragmatic renaissance' within qualitative research - a systematic approach to conducting qualitative research and representing the findings. This book includes chapters that showcase the utility of qualitative research by providing theoretical, methodological and empirical insights into real life research.

This book addresses two significant research areas in an interdependent fashion. It is first of all a comprehensive but concise text that covers the recently developed and widely applicable methods of qualitative choice analysis, illustrating the general theory through simulation models of automobile demand and use. It is also a detailed study of automobile demand and use, presenting forecasts based on these powerful new techniques. The book develops the general principles that underlie qualitative choice models that are now being applied in numerous fields in addition to transportation, such as housing, labor, energy, communications, and criminology. The general form, derivation, and estimation of qualitative choice models are explained, and the major models - logit, probit, and GEV - are discussed in detail. And continuous/discrete models are introduced. In these, qualitative choice methods and standard regression techniques are combined to analyze situations that neither alone can accurately forecast. Summarizing previous research on auto demand, the book shows how qualitative choice methods can be used by applying them to specific auto-related decisions as the aggregate of individuals' choices. The simulation model that is constructed is a significant improvement over older models, and should prove more useful to agencies and organizations requiring accurate forecasting of auto demand and use for planning and policy development. The book concludes with an actual case study based on a model designed for the investigations of the California Energy Commission. Kenneth Train is Visiting Associate Professor in Economics at the University of California, Berkeley, and Director of Economic Research at Cambridge Systematics, Inc., also in Berkeley. Qualitative Choice Analysisis included in The MIT Press Transportation Studies Series, edited by Marvin L. Manheim.