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The SPSS 16.0 Guide to Data Analysis is a friendly introduction to both data analysis and SPSS, the world's leading desktop statistical software package. Easy-to-understand explanations and in-depth content make this guide both an excellent supplement to other statistics texts and a superb primary text for any introductory data analysis course. With the SPSS 16.0 Guide to Data Analysis, you get a jump-start on describing data, testing hypotheses, and examining relationships using SPSS. Author Marija Noru is incorporates a wealth of data, including the General Social Survey and studies of Internet usage, opinions of the criminal justice system, marathon running times, library patronage, and the importance of manners. These data files are supplied with the book and are used throughout the examples and expanded chapter exercises. This unique combination of examples, exercises, and contemporary data gives you hands-on experience in analyzing data and makes learning about data analysis and statistical software relevant, unintimidating, and even fun! Data CD-ROM included.
Holistic approach to understanding medical statistics This hands-on guide is much more than a basic medical statistics introduction. It equips you with the statistical tools required for evidence-based clinical research. Each chapter provides a clear step-by-step guide to each statistical test with practical instructions on how to generate and interpret the numbers, and present the results as scientific tables or graphs. Showing you how to: analyse data with the help of data set examples (Click here to download datasets) select the correct statistics and report results for publication or presentation understand and critically appraise results reported in the literature Each statistical test is linked to the research question and the type of study design used. There are also checklists for critically appraising the literature and web links to useful internet sites. Clear and concise explanations, combined with plenty of examples and tabulated explanations are based on the authors’ popular medical statistics courses. Critical appraisal guidelines at the end of each chapter help the reader evaluate the statistical data in their particular contexts.
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.
Readers of my books, students and scientists, often ask for spe cial references not commonly found in introductory or interme diate books on statistics. From the titles and contents of 1449 key papers and books which are listed and numbered in Sec tion 5, I have selected keywords and subject headings and ar ranged them alphabetically together with the numbers of perti nent references in Section 3. Number 1153, for instance, denotes my book" Applied Statis tics". It contains a bibliographical section on pages 568 to 641. Supplementary material is displayed in this small bibliographi cal guide. It also complements well-known textbooks of Box, Hunter and Hunter (No.121), Dixon and Massey (No.286), Snedecor and Cochran (No. 1238), and many recent competitors. Since the methodology of statistics is expanding rapidly, many methods are not considered at all or only introduced in the basic textbooks of statistics. There is a need for intermediate statistical methods concerned with increasingly complicated ap plications of statistics to actual research situations. Here the specification of terms helps to find some sources. Since the ref erences vary considerably in length and content, the number of culled or extracted terms per referenced page varies even more, as does also their degree of specialization; however in most cases an intermediate statistical level is maintained.
This engaging and non-technical guide to clinical trials covers issues study design, organization, management, analysis, recruitment, reporting, software, and monitoring. Free from the jargon-laden treatment of other books, A Manager’s Guide to the Design and Conduct Clinical Trials is built upon the formula of first planning, then implementing, and finally performing essential checks. Offers an executive level presentation of managerial guidelines as well as handy checklists accompanied by extracts from submitted protocols Includes checklists, examples, and tips, as well as a useful appendix on available software Covers e-submissions and use of computers for direct data acquisition Incorporates humorous yet instructive and true anecdotes to illustrate common pitfalls
Papers in this issue: (1) Gregory L. Thompson: Coding-switching as style-shifting; (2) Manvender Kaur & Sarimah Shamsudin: Extracting noun forms: A lesson learnt; (3) Mohammad Ali Salmani Nodoushan: Temperament as an indicator of language achievement; (4) Negmeldin Alsheikh & Hala Elhoweris: United Arab Emirates (UAE) high school students' motivation to read in English as a foreign language; (5) Farhat Jabeen, M. Asim Rai & Sara Arif: A corpus based study of discourse markers in British and Pakistani speech; (6) Diego Gabriel Krivochen: The Quantum Human Computer Hypothesis and Radical Minimalism: A brief introduction to Quantum Linguistics; (7) Abbas Ali Rezaee & Elham Kermani: Essay raters' personality types and rater reliability; (8) Kristen L. Pratt: Book Review: Jørgensen, J. N., (Ed.). (2010). Love Ya Hate Ya: The Sociolinguistic Study of Youth Language and Youth Identities. Newcastle, UK: Cambridge Scholars. [286pp; ISBN 1-4438-2061-X (hardcover)].
This new edition of Nick Moore's highly successful How to do Research offers an accessible guide to the complete research process. It focuses on the day-to-day requirements of project, managing a piece of research right through from the formulation of the initial idea, to the development of a research proposal and then to the writing up and disseminating of results. Updated throughout, it also contains new and expanded sections on in-house research; the use of sub-contractors and market-research companies; the use of the internet as a research tool; and ethical issues. The book provides practical help and guidance to anyone undertaking academic or social research, whether through work or study. Part One of the book follows a step-by-step guide to the research process itself: develop the research objectives; design and plan the study; write the proposal; obtain financial support for the research; manage the research; draw conclusions and make recommendations; write the report; ∧ disseminate the results. Part Two offers an introduction to some of the more common research methods, and takes the reader through the processes of collecting and analysing data, including sampling, surveys, interviewing, focus groups and capturing data. Readership: This book offers a wealth of invaluable guidance to both new and experienced researchers, presented in a clear, simple style. It is ideal for professionals undertaking research and the evaluation of services; for undergraduate and postgraduate students undertaking dissertations and other research projects; and as an introductory text on research methods courses in any social science discipline.
Increased demands for colleges and universities to engage in outcomes assessment for accountability purposes have accelerated the need to bridge the gap between higher education practice and the fields of measurement, assessment, and evaluation. The Handbook on Measurement, Assessment, and Evaluation in Higher Education provides higher education administrators, student affairs personnel, institutional researchers who generate and analyze data, and faculty with an integrated handbook of theory, method, and application. This valuable resource brings together applied terminology, analytical perspectives, and methodological advances from the fields of measurement, assessment, and evaluation to facilitate informed decision-making in higher education. Special Features: Contributing Authors are world-renowned scholars across the fields of measurement, assessment, and evaluation, including: Robert E. Stake, Trudy W. Banta, Michael J. Kolen, Noreen M. Webb, Kurt Geisinger, Robert J. Mislevy, Ronald K. Hambleton, Rebecca Zwick, John Creswell, and Margaret D. LeCompte. Depth of Coverage includes classroom assessment and student outcomes; assessment techniques for accountability and accreditation; test theory, item response theory, validity and reliability; qualitative, quantitative and mixed-methods evaluation; context and ethics of assessment. Questions and Exercises follow each Section to reinforce the valuable concepts and insights presented in the preceding chapters. Bridging the gap between practice in higher education with advances in measurement, assessment, and evaluation, this book enables educational decision-makers to engage in more sound professional judgment. This handbook provides higher education administrators with both high-level and detailed views into contemporary theories and practices, supplemented with guidance on how to apply them for the benefit of students and institutions.
In the era of digital technology, business transactions and partnerships across borders have become easier than ever. As part of this shift in the corporate sphere, managers, executives, and strategists across industries must acclimate themselves with the challenges and opportunities for conducting business. Mobile Commerce: Concepts, Methodologies, Tools, and Applications provides a comprehensive source of advanced academic examinations on the latest innovations and technologies for businesses. Including innovative studies on marketing, mobile commerce security, and wireless handheld devices, this multi-volume book is an ideal source for researchers, scholars, business executives, professionals, and graduate-level students.
Dive deeper into SPSS Statistics for more efficient, accurate, and sophisticated data analysis and visualization SPSS Statistics for Data Analysis and Visualization goes beyond the basics of SPSS Statistics to show you advanced techniques that exploit the full capabilities of SPSS. The authors explain when and why to use each technique, and then walk you through the execution with a pragmatic, nuts and bolts example. Coverage includes extensive, in-depth discussion of advanced statistical techniques, data visualization, predictive analytics, and SPSS programming, including automation and integration with other languages like R and Python. You'll learn the best methods to power through an analysis, with more efficient, elegant, and accurate code. IBM SPSS Statistics is complex: true mastery requires a deep understanding of statistical theory, the user interface, and programming. Most users don't encounter all of the methods SPSS offers, leaving many little-known modules undiscovered. This book walks you through tools you may have never noticed, and shows you how they can be used to streamline your workflow and enable you to produce more accurate results. Conduct a more efficient and accurate analysis Display complex relationships and create better visualizations Model complex interactions and master predictive analytics Integrate R and Python with SPSS Statistics for more efficient, more powerful code These "hidden tools" can help you produce charts that simply wouldn't be possible any other way, and the support for other programming languages gives you better options for solving complex problems. If you're ready to take advantage of everything this powerful software package has to offer, SPSS Statistics for Data Analysis and Visualization is the expert-led training you need.