A core statistics text that emphasizes logical inquiry, not
math
Basic Statistics for Social Research teaches core general
statistical concepts and methods that all social science majors
must master to understand (and do) social research. Its use of
mathematics and theory are deliberately limited, as the authors
focus on the use of concepts and tools of statistics in the
analysis of social science data, rather than on the mathematical
and computational aspects. Research questions and applications are
taken from a wide variety of subfields in sociology, and each
chapter is organized around one or more general ideas that are
explained at its beginning and then applied in increasing detail in
the body of the text.
Each chapter contains instructive features to aid students in
understanding and mastering the various statistical approaches
presented in the book, including:
* Learning objectives
* Check quizzes after many sections and an answer key at the end
of the chapter
* Summary
* Key terms
* End-of-chapter exercises
* SPSS exercises (in select chapters)
Ancillary materials for both the student and the instructor are
available and include a test bank for instructors and downloadable
video tutorials for students.
math
Basic Statistics for Social Research teaches core general
statistical concepts and methods that all social science majors
must master to understand (and do) social research. Its use of
mathematics and theory are deliberately limited, as the authors
focus on the use of concepts and tools of statistics in the
analysis of social science data, rather than on the mathematical
and computational aspects. Research questions and applications are
taken from a wide variety of subfields in sociology, and each
chapter is organized around one or more general ideas that are
explained at its beginning and then applied in increasing detail in
the body of the text.
Each chapter contains instructive features to aid students in
understanding and mastering the various statistical approaches
presented in the book, including:
* Learning objectives
* Check quizzes after many sections and an answer key at the end
of the chapter
* Summary
* Key terms
* End-of-chapter exercises
* SPSS exercises (in select chapters)
Ancillary materials for both the student and the instructor are
available and include a test bank for instructors and downloadable
video tutorials for students.
Cuprins
Tables and FigurePreface
Acknowledgements
The Authors
Part 1 Univariate Description
Chapter 1: Statistics and the Research Process
Chapter 2: Frequency Distribution
Chapter 3: Central Tendency
Chapter 4: Dispersion
Chapter 5: Distribution Shape
Part 2 Inference and Hypothesis Testing
Chapter 6: The Normal Distribution
Chapter 7: Basic Ideas of Statistical Inference
Chapter 8: Hypothesis Testing for One Sample
Chapter 9: Hypothesis Testing for Two Samples
Chapter 10: Multiple Group Tests for Proportions: Chi-square
Chapter 11: Multiple Sample Tests for Means: One-way ANOVA
Part 3 Association and Prediction
Chapter 12: Association with Categorical Variables
Chapter 13: Association with Interval/Ratio Variables
Chapter 14: Prediction for Interval/Ratio Outcomes
Chapter 15: Prediction for Categorical Outcomes
Appendices
Index
Despre autor
ROBERT A. HANNEMAN is a professor of sociology at theUniversity of California, Riverside.
AUGUSTINE J. KPOSOWA is a professor of sociology at the
University of California, Riverside.
MARK D. RIDDLE is the Director of Institutional Research
at Antioch University Los Angeles.
Limba Engleză ● Format PDF ● Pagini 560 ● ISBN 9781118220559 ● Mărime fișier 20.9 MB ● Editura John Wiley & Sons ● Publicat 2012 ● Ediție 1 ● Descărcabil 24 luni ● Valută EUR ● ID 2586107 ● Protecție împotriva copiilor Adobe DRM
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