{"title":"Social Science - Methodology","description":"","products":[{"product_id":"research-is-ceremony-indigenous-research-methods-9781552662816","title":"Research Is Ceremony: Indigenous Research Methods","description":"\u003cp\u003eIndigenous researchers are knowledge seekers who work to progress Indigenous ways of being, knowing and doing in a modern and constantly evolving context. This book describes a research paradigm shared by Indigenous scholars in Canada and Australia, and demonstrates how this paradigm can be put into practice. Relationships don't just shape Indigenous reality, they are our reality. Indigenous researchers develop relationships with ideas in order to achieve enlightenment in the ceremony that is Indigenous research. Indigenous research is the ceremony of maintaining accountability to these relationships. For researchers to be accountable to all our relations, we must make careful choices in our selection of topics, methods of data collection, forms of analysis and finally in the way we present information. I'm an Opaskwayak Cree from northern Manitoba currently living in the Northern Rivers area of New South Wales, Australia. I'm also a father of three boys, a researcher, son, uncle, teacher, world traveller, knowledge keeper and knowledge seeker. As an educated Indian, I've spent much of my life straddling the Indigenous and academic worlds. Most of my time these days is spent teaching other Indigenous knowledge seekers (and my kids) how to accomplish this balancing act while still keeping both feet on the ground.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Shawn Wilson\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Fernwood Publishing\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 09\/01\/2008\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 144\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.45lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 8.90h x 6.00w x 0.40d\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9781552662816\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003eI am Opaskwayak Cree from northern Manitoba. My personal roles include being father to three boys, being a son, uncle, husband, teacher, student, world traveller, knowledge keeper and knowledge seeker. In my professional roles as community psychologist, researcher and educated Cree, I've spent much of my life straddling the Indigenous and mainstream worlds. Most of my time these days is spent teaching other Indigenous knowledge seekers (and my kids) how to accomplish this balancing act while still keeping both feet on the ground. In addition to being a full-time dad, I also work part-time for the Northern Rivers University Department of Rural Health in Lismore, NSW Australia, building research capacity with primary health care workers. Travelling and meeting people from other nations and cultures has been a big part of my life, as has my work with traditional Healers, Elders and Knowledge Keepers. In my previous book Gwitch'in Native Elders: Not Just Knowledge but a Way of Looking at the World, I began to document some ideas about just what an Elder is and how they can be supported. I am currently working on documenting my parents' life stories. Next year my family and I will be undertaking an overland journey around the world to visit with Indigenous Healers; video-documenting their stories, with the goal of building international connections to country and identity. (Not sure yet how we'll manage the over-water parts!) In addition to further articulating Indigenous philosophies and research paradigms, my research focuses on the inter-related concepts of identity, health and healing, culture and wellbeing.\u003cbr\u003e","brand":"booksdeli.com","offers":[{"title":"Shawn Wilson \/ Paperback \/ English","offer_id":47284526383261,"sku":"9781552662816","price":62.5,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0619\/5648\/9373\/files\/img_4af77b0d-7255-4b10-9bae-bf24f506678c.jpg?v=1759989633"},{"product_id":"data-analysis-for-social-science-a-friendly-and-practical-introduction-9780691199436","title":"Data Analysis for Social Science: A Friendly and Practical Introduction","description":"\u003cp\u003e\u003cb\u003eAn ideal textbook for complete beginners--teaches from scratch R, statistics, and the fundamentals of quantitative social science\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003ci\u003eData Analysis for Social\u003c\/i\u003e \u003ci\u003eScience\u003c\/i\u003e provides a friendly introduction to the statistical concepts and programming skills needed to conduct and evaluate social scientific studies. Assuming no prior knowledge of statistics and coding and only minimal knowledge of math, the book teaches the fundamentals of survey research, predictive models, and causal inference while analyzing data from published studies with the statistical program R. It teaches not only how to perform the data analyses but also how to interpret the results and identify the analyses' strengths and limitations.\u003cbr\u003e\u003cul\u003e\n\u003cli\u003eProgresses by teaching how to solve one kind of problem after another, bringing in methods as needed. It teaches, in this order, how to (1) estimate causal effects with randomized experiments, (2) visualize and summarize data, (3) infer population characteristics, (4) predict outcomes, (5) estimate causal effects with observational data, and (6) generalize from sample to population.\u003c\/li\u003e\n\u003cli\u003eFlips the script of traditional statistics textbooks. It starts by estimating causal effects with randomized experiments and postpones any discussion of probability and statistical inference until the final chapters. This unconventional order engages students by demonstrating from the very beginning how data analysis can be used to answer interesting questions, while reserving more abstract, complex concepts for later chapters.\u003c\/li\u003e\n\u003cli\u003eProvides a step-by-step guide to analyzing real-world data using the powerful, open-source statistical program R, which is free for everyone to use. The datasets are provided on the book's website so that readers can learn how to analyze data by following along with the exercises in the book on their own computer.\u003c\/li\u003e\n\u003cli\u003eAssumes no prior knowledge of statistics or coding.\u003c\/li\u003e\n\u003cli\u003eSpecifically designed to accommodate students with a variety of math backgrounds. It includes supplemental materials for students with minimal knowledge of math and clearly identifies sections with more advanced material so that readers can skip them if they so choose.\u003c\/li\u003e\n\u003cli\u003eProvides cheatsheets of statistical concepts and R code.\u003c\/li\u003e\n\u003cli\u003eComes with instructor materials (upon request), including sample syllabi, lecture slides, and additional replication-style exercises with solutions and with the real-world datasets analyzed.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e Looking for a more advanced introduction? Consider \u003ci\u003eQuantitative Social Science\u003c\/i\u003e by Kosuke Imai. In addition to covering the material in \u003ci\u003eData Analysis for Social Science\u003c\/i\u003e, it teaches diffs-in-diffs models, heterogeneous effects, text analysis, and regression discontinuity designs, among other things.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Elena Llaudet,Kosuke Imai\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Princeton University Press\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 11\/29\/2022\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 256\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.35lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.90h x 8.00w x 0.90d\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9780691199436\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eElena Llaudet\u003c\/b\u003e is Associate Professor of Political Science at Suffolk University in Boston. \u003cb\u003eKosuke Imai\u003c\/b\u003e is Professor of Government and of Statistics at Harvard University.\u003cbr\u003e","brand":"booksdeli.com","offers":[{"title":"Elena Llaudet \/ Paperback \/ English","offer_id":47286382133405,"sku":"9780691199436","price":93.02,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0619\/5648\/9373\/files\/img_1f1699d7-26fe-429a-921e-865f5c2d4b94.jpg?v=1760021136"},{"product_id":"causal-inference-9780262545198","title":"Causal Inference","description":"\u003cb\u003eA nontechnical guide to the basic ideas of modern causal inference, with illustrations from health, the economy, and public policy.\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003eWhich of two antiviral drugs does the most to save people infected with Ebola virus? Does a daily glass of wine prolong or shorten life? Does winning the lottery make you more or less likely to go bankrupt? How do you identify genes that cause disease? Do unions raise wages? Do some antibiotics have lethal side effects? Does the Earned Income Tax Credit help people enter the workforce? \u003cp\u003e\u003c\/p\u003e\u003ci\u003eCausal Inference\u003c\/i\u003e provides a brief and nontechnical introduction to randomized experiments, propensity scores, natural experiments, instrumental variables, sensitivity analysis, and quasi-experimental devices. Ideas are illustrated with examples from medicine, epidemiology, economics and business, the social sciences, and public policy.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Paul R. 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