Search results for "Data Structures using C"
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R 1,954.00
R 1,466.00
Real Data
• In Real Data, students predict the answers to interesting questions. Then they analyze data supplied by leading researchers to see if there is empirical support for their predictions.• Students get practice in computing all the major statistics usually covered in an introductory statistics course.• Because each of the 35 exercises in Part A deals with only a limited number of statistics, the workbook is easily coordinated with all introductory statistics textbooks.• Part A emphasizes small data sets that are useful whether students are using calculators or computers. The exercises in this part are highly structured so students know exactly what is required of them.• Part B provides larger data sets for comprehensive analysis by computer users. Loosely structured, the data sets allow you to specify which statistics should be computed.• Sample topics: Kissing and Sexual Harassment; Basic Trust of Rape Survivors; Gambling and Stealing; Pregnancy Risk Among Adolescents Who Had Been Sexually Abused; Boys Interacting with Their Fathers; Racial Differences in Seeking Medical Assistance; Instructors’ Clothing and Student Evaluations; Students’ Attitudes Toward Math; and Physician-Assisted Suicide.• Using real data for analysis makes the traditional statistics class come alive.
R 1,868.74
Analyzing Tabular Data
First published in 1993, Analyzing Tabular Data is an accessible text introducing a powerful range of analytical methods. Empirical social research almost invariably requires the presentation and analysis of tables, and this book is for those who have little prior knowledge of quantitative analysis or statistics, but who have a practical need to extract the most from their data. The book begins with an introduction to the process of data analysis and the basic structure of cross-tabulations. At the core of the methods described in the text is the loglinear model. This and the logistic model, are explained and their application to causal modelling, to event history analysis, and to social mobility research are described in detail. Each chapter concludes with sample programs to show how analysis on typical datasets can be carried out using either the popular computer packages, SPSS, or the statistical programme, GLIM. The book is packed with examples which apply the methods to social science research.Sociologists, geographers, psychologists, economists, market researchers and those involved in survey research in the fields of planning, evaluation and policy will find the book to be a clear and thorough exposition of methods for the analysis of tabular data.
R 5,165.00
Big Data Mining and Complexity
This book offers a much needed critical introduction to data mining and ‘big data’. Supported by multiple case studies and examples, the authors provide: Digestible overviews of key terms and concepts relevant to using social media data in quantitative research.A critical review of data mining and ‘big data’ from a complexity science perspective, including its future potential and limitationsA practical exploration of the challenges of putting together and managing a ‘big data’ database An evaluation of the core mathematical and conceptual frameworks, grounded in a case-based computational modeling perspective, which form the foundations of all data mining techniques Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.
R 2,305.21
Speculative Pedagogies of Qualitative Inquiry
In Speculative Pedagogies of Qualitative Inquiry, the authors discuss what "inquiry" is and how we teach it — and if it is even possible to teach. With a proliferation of how-to manuals for doing qualitative research, the time is ripe for a discussion not only on what we teach (curriculum) but also how we teach (pedagogy). This book seeks to teach students to become qualitative inquirers, not with a formulaic recipe but rather by showing them how to think from a place of uncertain, (w)rest(full), relational liveliness. The authors seek to create qualitative inquiry courses that create spaces that consider our abilities to respond to, come to know (epistemology), be (ontology), and do (axiology) qualitative inquiry. Thus, a main thread of this book is (re)thinking and (re)imagining inquiry that they come to conceptualize as (in)query. The authors use both data from graduate level research courses and theoretical concepts from poststructuralism, posthumanism, and feminist "new" materialism.This book is timely in the face of a growing neoliberal academy that values prescription and repetition over innovation, thinking differently, and engaging with research. It will be an invaluable resource for graduate students looking to use qualitative inquiry in their research.
R 2,704.92
Speculative Pedagogies of Qualitative Inquiry
In Speculative Pedagogies of Qualitative Inquiry, the authors discuss what "inquiry" is and how we teach it — and if it is even possible to teach. With a proliferation of how-to manuals for doing qualitative research, the time is ripe for a discussion not only on what we teach (curriculum) but also how we teach (pedagogy). This book seeks to teach students to become qualitative inquirers, not with a formulaic recipe but rather by showing them how to think from a place of uncertain, (w)rest(full), relational liveliness. The authors seek to create qualitative inquiry courses that create spaces that consider our abilities to respond to, come to know (epistemology), be (ontology), and do (axiology) qualitative inquiry. Thus, a main thread of this book is (re)thinking and (re)imagining inquiry that they come to conceptualize as (in)query. The authors use both data from graduate level research courses and theoretical concepts from poststructuralism, posthumanism, and feminist "new" materialism.This book is timely in the face of a growing neoliberal academy that values prescription and repetition over innovation, thinking differently, and engaging with research. It will be an invaluable resource for graduate students looking to use qualitative inquiry in their research.
R 9,302.48
Find the Theme in Your Data
Working with even small amounts of qualitative data can be intimidating. Students may not know where to start, how much detail to involve, what themes really tell you, and why they matter in the larger context of the research. Focused on building confidence and decreasing anxiety from information overload by helping students build a manageable system that works for digging into and making sense of their individual data, this Little Quick Fix answers questions like: - What is a theme? - How do I start looking for themes? - How do I turn my transcriptions into themes? - How do I turn my codes into themes? - How do I turn my categories into themes? - How will I know if my themes are any good? - How will I know if my themes are meaningful? Students need help over hurdles at every stage of their research project. They want simple, powerful, accessible tools that deliver results fast. They need to meet interim assessment deadlines and prove that they have successfully passed through multiple stages of their project, or need to master a stage of understanding in a learning cascade before they can proceed to the next week in their methods module. Their supervisors are increasingly unable to help, but will still be assessing results. Students need more than YouTube. Titles in the Little Quick Fix series offer: · Visual, design-led learning · Clear, structured, useful pedagogy · A hand-holding, step-by-step approach for students who are less able, or less academically prepared by school so far · Effective self-directed learning with DIY progress tracking · A stand-in for the busy/unavailable supervisor
R 806.00
