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Notes:

• Includes bibliographical references and index.
• About Zen and contemplative inquiry — Impermanence and observation — Non-self and interviews — Interviewing as an act of compassion : do no harm — Documents, photographs, and artifacts — Nirvana and writing up qualitative research — Poetry, Zen, and qualitative research — A Zen vista of the researcher reflective journal — Satori, zenergy, and understanding.
• Qualitative researchers incorporate the principles of holism, storytelling, ethics, body and mind links, relational focus, and creativity as key features of their practice. So do practitioners of Zen Buddhism. Leading qualitative researcher Valerie J. Janesick describes how qualitative inquiry can be informed and improved through an understanding of Zen principles. She calls for a contemplative qualitative inquiry that draws on the understandings of both East and West. In the book, she -explains how key Zen principles of impermanence, non-self, and nirvana apply to qualitative research projects -advocates important Zen-based practices of meditation, journaling, and poetic thinking -presents Zen stories, meditation techniques, and writing exercises to improve research practice — Provided by publisher.

Subjects:

• Qualitative research.
• Social sciences — Research — Methodology.
• Zen Buddhism.
• Creative ability — Religious aspects — Buddhism.

Requested by Kurpiers, R.

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Notes:

• Includes bibliographical references (pages 141-147) and index.
• Change in the messy world of partisan politics — Assessing the policy battlefield — Evaluating policy problems — Not all policy is created equal — The overrated value of bipartisanship — When the insiders get it wrong — Politics as a fight — Elections: do they matter? — Coping with the unexpected.
• How do transformative changes in public policy take place? Why do some issues rise to the top of the political agenda, while others are completely ignored? What makes some major policy initiatives succeed–at times, even when the odds are decidedly against them–while others fail or languish for decades? Answering those questions is the purpose of this book. Elaine Kamarck traces the paths of a series of modern policy initiatives from the orderly world of analysis to the messy world of partisan politics. Dissecting the reasons for policy success and failure, she offers an intriguing new perspective on how change happens in the space where politics and policy overlap. — Publisher website.

Subjects:

• Policy sciences — United States.
• United States — Politics and government.
• Policy sciences. fast (OCoLC)fst01068796
• Political science. fast (OCoLC)fst01069781
• United States. fast (OCoLC)fst01204155

Requested by Aoki, A

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Notes:

• Includes bibliographical references and index.

Subjects:

• Action research — Encyclopedias.

Requested by Koehler, B.

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Notes:

• Includes bibliographical references (p. 256-265) and index.
• Understanding mixed methods research — Examining preliminary considerations — Locating and reviewing mixed methods studies — Choosing a mixed methods design — Introducing a mixed methods study — Collecting data in mixed methods research — Analyzing data in mixed methods research — Writing an devaluating mixed methods research — Questions often raised about mixed methods research — Future directions for mixed methods research.

Subjects:

• Social sciences — Research — Methodology.
• Research — Evaluation.
• Sciences sociales — Recherche — Méthodologie.
• Recherche — Évaluation.
• Sociaal-wetenschappelijk onderzoek. gtt
• Kwalitatieve methoden. gtt
• Kwantitatieve methoden. gtt

Requested by PA Program

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Notes:

• Previous ed. cataloged as: Qualitative inquiry & research design. c2007.
• Includes bibliographical references (p. 417-434) and indexes.
• Philosophical assumptions and interpretive frameworks — Designing a qualitative study — Five qualitative approaches to inquiry — Five different qualitative studies — Introducing and focusing the study — Data collection — Data analysis and representation — Writing a qualitative study — Standards of validation and evaluation — Turning the story and conclusion.

Subjects:

• Social sciences — Methodology.
• Social Sciences — methods.

Requested by Heiderscheit, A

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Notes:

• Includes bibliographical references (p. 306-331) and index.
• Introduction : the biography of arenas of power. — Arenas of power : the model. 1. American business, public policy, case studies, and political theory. 2. Four systems of policy, politics, and choice — Public policy, history, and a theory of political development. 3. Parallels of policy and politics : the political theory in American history. 4. American federalism : a demonstration of the categoric character of policy and politics. 5. A new American state and four different Roosevelts. 6. The Europeanization of America? from United States to united state — Bureaucracy and arenas of power. 7. The state in politics : the relation between policy and administration. 8. The case of agriculture : four kinds of policy, four kinds of politics — Economic sectors and collective goods. 9. Interests, politics, and the variety of group experience. 10. Policy choices and political consequences : the case of population control. 11. The perils of patronage : tendencies toward corporatism in the clientele agencies — Outside the box, outside the mainstream : the politics of movements, radicalism, and morality in comparative perspective. 12. Prospects of conquest : with liberty and justice for some. 13. New dimensions in policy and politics. 14. Our millennium : political science confronts the global corporate economy.

Subjects:

• Policy sciences.
• Power (Social sciences)
• United States — Politics and government.

Requested by Shockley, J.

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Notes:

• Includes bibliographical references and indexes.
• Introduction: finding a middle ground in qualitative research / by Deborah K. Padgett — Grounded theory / by Julianne S. Oktay — Narrative analysis: a feminist approach / Roberta G. Sands — Ethnography / by Jerry Floersch — Case Study research / by James W. Drisko — Mixed methods in dissertation study – by Deborah Gioia — Evaluation research / by Amy Barr — Analyzing qualitative data in a cross-language context: a collaborative model / by Tazuko Shibusawa and Ellen Lukens — Qualitative data analysis software: a users appraisal / by James W. Drisko — The role of the mentoring relationship in qualitative research / by Ida Roldan and R. Dennis Shelby — Peer debriefing and support groups: formation, care, and maintenance / by Deborah K. Padgett, Regi Mathew, and Susan Conte — Ethical issues in qualitative research with high-risk populations: handle with care / by Deborah Waldrop — Doing narrative analysis / by Margareta Hyden and Carolina Overlien — Mixed methods, serendipity, and concatenation / by Deborah K. Padgett — Spreading the word: writing up and disseminating qualitative research / by Deborah K. Padgett – Coming of age: theoretical thinking, social responsibility, and a global perspective in qualitative research / Deborah K. Padgett — Coda: a few observations for students / by Deborah K. Padgett.

Subjects:

• Qualitative research.
• Research — Methodology.

Requested by Boisen, L

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Notes:

• This easy-to-follow guide instructs students in the preparation of literature reviews for term projects, theses, and dissertations. There are numerous examples from published literature reviews that illustrate the guidelines discussed in this text. New to this edition: Three of the seven model literature reviews have been updated. Also new: A chapter on preparing a reference list has been added. This text has been a best-seller since the publication of the first edition in 1999. –Publisher’s website.
• Includes bibliographical references and index.
• Writing reviews of academic literature: an overview — Considerations in writing reviews for specific purposes — Selecting a topic and identifying literature for review — General guidelines for analyzing literature — Analyzing quantitative research literature — Analyzing qualitative research literature — Building tables to summarize literature — Synthesizing literature prior to writing a review — Guidelines for writing a first draft — Guidelines for developing a coherent essay — Guidelines on style, mechanics, and language usage — Incorporating feedback and refining the first draft — Preparing a reference list — Comprehensive self-editing checklist for refining the final draft.

Subjects:

• Social sciences — Research.
• Social sciences — Research — Evaluation.
• Social sciences — Authorship.
• Psychology — Research.
• Psychology — Research — Evaluation.
• Psychology — Authorship.
• Book reviewing.
• Scholarly periodicals.
• Evaluation Studies as Topic.
• Psychology.
• Research.
• Review Literature as Topic.
• Social Sciences.
• Writing.

Requested by Koehler, B.

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Notes:

• Includes index.
• Liftoff! prediction takes action (deployment) — With power comes responsibility : Hewlett-Packard, Target and the police deduce your secrets (ethics) — The data effect : a glut at the end of the rainbow (data) — The machine that learns : a look inside Chase’s prediction of mortgage risk (modeling) — The ensemble effect: Netflix, crowdsourcing, and supercharging prediction (ensembles) — Watson and the Jeopardy! challenge (question answering) — Persuasion by the numbers: how Telenor, U.S. Bank, and the Obama campaign engineered influence (uplift).
• Includes bibliographical references (p. 228-289) and index.
• You have been predicted — by companies, governments, law enforcement, hospitals, and universities. Their computers say, I knew you were going to do that! These institutions are seizing upon the power to predict whether you’re going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats financial risk, fortifies healthcare, conquers spam, toughens crime fighting, and boosts sales. How? Prediction is powered by the world’s most potent, booming unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future — lifting a bit of the fog off our hazy view of tomorrow — means pay dirt. In this rich, entertaining primer, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: What type of mortgage risk Chase Bank predicted before the recession. Predicting which people will drop out of school, cancel a subscription, or get divorced before they are even aware of it themselves. Why early retirement decreases life expectancy and vegetarians miss fewer flights. Five reasons why organizations predict death, including one health insurance company. How U.S. Bank, European wireless carrier Telenor, and Obama’s 2012 campaign calculated the way to most strongly influence each individual. How IBM’s Watson computer used predictive modeling to answer questions and beat the human champs on TV’s Jeopardy! How companies ascertain untold, private truths — how Target figures out you’re pregnant and Hewlett-Packard deduces you’re about to quit your job. How judges and parole

Subjects:

• Social sciences — Forecasting.
• Economic forecasting.
• Prediction (Psychology)
• Social prediction.
• Human behavior.

Requested by Doree, S