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Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics
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Using Statistics in the Social and Health Sciences with SPSS (R) and Excel (R) (Hardcover)
Loot Price: R3,053
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Using Statistics in the Social and Health Sciences with SPSS (R) and Excel (R) (Hardcover)
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Provides a step-by-step approach to statistical procedures to
analyze data and conduct research, with detailed sections in each
chapter explaining SPSS(R) and Excel(R) applications This book
identifies connections between statistical applications and
research design using cases, examples, and discussion of specific
topics from the social and health sciences. Researched and
class-tested to ensure an accessible presentation, the book
combines clear, step-by-step explanations for both the novice and
professional alike to understand the fundamental statistical
practices for organizing, analyzing, and drawing conclusions from
research data in their field. The book begins with an introduction
to descriptive and inferential statistics and then acquaints
readers with important features of statistical applications (SPSS
and Excel) that support statistical analysis and decision making.
Subsequent chapters treat the procedures commonly employed when
working with data across various fields of social science research.
Individual chapters are devoted to specific statistical procedures,
each ending with lab application exercises that pose research
questions, examine the questions through their application in SPSS
and Excel, and conclude with a brief research report that outlines
key findings drawn from the results. Real-world examples and data
from social and health sciences research are used throughout the
book, allowing readers to reinforce their comprehension of the
material. Using Statistics in the Social and Health Sciences with
SPSS(R) and Excel(R) includes: Use of straightforward procedures
and examples that help students focus on understanding of analysis
and interpretation of findings Inclusion of a data lab section in
each chapter that provides relevant, clear examples Introduction to
advanced statistical procedures in chapter sections (e.g.,
regression diagnostics) and separate chapters (e.g., multiple
linear regression) for greater relevance to real-world research
needs Emphasizing applied statistical analyses, this book can serve
as the primary text in undergraduate and graduate university
courses within departments of sociology, psychology, urban studies,
health sciences, and public health, as well as other related
departments. It will also be useful to statistics practitioners
through extended sections using SPSS(R) and Excel(R) for analyzing
data. Martin Lee Abbott, PhD, is Professor of Sociology at Seattle
Pacific University, where he has served as Executive Director of
the Washington School Research Center, an independent research and
data analysis center funded by the Bill & Melinda Gates
Foundation. Dr. Abbott has held positions in both academia and
industry, focusing his consulting and teaching in the areas of
statistical procedures, program evaluation, applied sociology, and
research methods. He is the author of Understanding Educational
Statistics Using Microsoft Excel(R) and SPSS(R), The Program
Evaluation Prism: Using Statistical Methods to Discover Patterns,
and Understanding and Applying Research Design, also from Wiley.
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