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Fundamental Statistics For The Social And Behavioral Sciences

Author: Howard T. Tokunaga
Publisher: SAGE Publications
ISBN: 1483318788
Size: 64.87 MB
Format: PDF
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This thematically-based textbook places statistics within the research process, illustrating how statistics are used to answer questions and test ideas. Students learn not only how to calculate statistics, but also how to interpret the results of statistical analyses in light of a study’s research hypothesis and to communicate their results and interpretations to a broader audience. Featuring accessible writing and well-integrated research examples, Fundamental Statistics for the Social and Behavioral Sciences by Howard T. Tokunaga is designed to help readers develop an appreciation of how statistics are applied to topics and questions of interest, gain an appreciation of issues related to the use of statistics, and enhance their understanding of the research process and the role of statistics within it.

Fundamental Statistics For The Social Behavioral And Health Sciences

Author: Miguel A. Padilla
Publisher:
ISBN: 9781516555277
Size: 67.78 MB
Format: PDF, Docs
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Fundamental Statistics for the Social, Behavioral, and Health Sciences presents instructional material in a clear, concise way and features exercises that get students thinking about how to use statistics in applied settings. The text opens with an introduction to descriptive statistics which covers frequency distribution, central tendency, and variability. The chapters that follow take students through an introductory journey into inferential statistics. While many standard texts in the discipline overload students with information, Fundamental Statistics for the Social, Behavioral, and Health Sciences strategically presents information that is enhanced with clear examples and graphs. Rather than relying on memorized examples, students learn to apply what they learn to a variety of situations. The book includes step-by-step instructions on using IBM's Statistical Package for Social Sciences, so there is no need to purchase a separate text to master it.

Fundamental Statistics For The Behavioral Sciences

Author: David Howell
Publisher: Cengage Learning
ISBN: 0495099007
Size: 24.65 MB
Format: PDF, Kindle
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David Howell's practical approach focuses on the context of statistics in behavioral research, with an emphasis on looking before leaping; investigating the data before jumping into a test. This provides you with an understanding of the logic behind the statistics: why and how certain methods are used rather than just doing techniques by rote. Learn faster and understand more because Howell's texts moves you beyond number crunching, allowing you to discover the meaning of statistical results and how they relate to the research questions being asked. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Fundamental Statistics For The Behavioral Sciences

Author: David C. Howell
Publisher: Wadsworth Publishing Company
ISBN:
Size: 41.34 MB
Format: PDF, ePub
View: 3170
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David Howell's practical approach focuses on the context of statistics in behavioral research, with an emphasis on looking at data before jumping into a test. This provides students with an understanding of the logic behind the statistics: why and how certain methods are used rather than just doing techniques by rote. Students move beyond number crunching to discover the meaning of statistical results and how they relate to the research questions being asked. FUNDAMENTAL STATISTICS FOR THE BEHAVIORAL SCIENCES contains an abundance of real data and research studies as a base and moves through an analysis of data.

Modern Statistics For The Social And Behavioral Sciences

Author: Rand Wilcox
Publisher: CRC Press
ISBN: 1466503238
Size: 79.29 MB
Format: PDF
View: 2981
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In addition to learning how to apply classic statistical methods, students need to understand when these methods perform well, and when and why they can be highly unsatisfactory. Modern Statistics for the Social and Behavioral Sciences illustrates how to use R to apply both standard and modern methods to correct known problems with classic techniques. Numerous illustrations provide a conceptual basis for understanding why practical problems with classic methods were missed for so many years, and why modern techniques have practical value. Designed for a two-semester, introductory course for graduate students in the social sciences, this text introduces three major advances in the field: Early studies seemed to suggest that normality can be assumed with relatively small sample sizes due to the central limit theorem. However, crucial issues were missed. Vastly improved methods are now available for dealing with non-normality. The impact of outliers and heavy-tailed distributions on power and our ability to obtain an accurate assessment of how groups differ and variables are related is a practical concern when using standard techniques, regardless of how large the sample size might be. Methods for dealing with this insight are described. The deleterious effects of heteroscedasticity on conventional ANOVA and regression methods are much more serious than once thought. Effective techniques for dealing heteroscedasticity are described and illustrated. Requiring no prior training in statistics, Modern Statistics for the Social and Behavioral Sciences provides a graduate-level introduction to basic, routinely used statistical techniques relevant to the social and behavioral sciences. It describes and illustrates methods developed during the last half century that deal with known problems associated with classic techniques. Espousing the view that no single method is always best, it imparts a general understanding of the relative merits of various techniques so that the choice of method can be made in an informed manner.

Essential Statistics For The Social And Behavioral Sciences

Author: Anthony Walsh
Publisher: Pearson College Division
ISBN:
Size: 61.42 MB
Format: PDF, ePub
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This book helps readers become intelligent consumers of the social/behavioral science literature and familiarizes them with the fundamental tools of research. It features a conceptual, intuitive approach that is less math-oriented (e.g., not cluttered with all sorts of sub-and superscripts, and not concerned with mathematical derivatives of the various statistics), and that clearly shows the continuity and interrelatedness of the techniques discussed. After the necessary concepts have been explained and the calculations have been performed for each statistic, the text walks readers through a line-by-line explanation of a computer printout (based on actual data) containing that statistic. "Practice Applications" provide research examples with step-by-step solutions to all statistical procedures. Describing Data. Central Tendency and Dispersion. Probability and the Normal Curve. The Sampling Distribution and Estimation Procedures. Hypothesis Testing: Interval/Ratio Data. Analysis of Variance. Hypothesis Testing with Categorical Data: Chi-Square. Measures of Association with Nominal and Ordinal Data. Elaboration and Causal Analysis. Bivariate Correlation and Regression. Multivariate Correlation and Regression. For anyone in the social/behavioral sciences who needs an accessible introduction to statistics.

Fundamentals Of Social Statistics

Author: Kirk W. Elifson
Publisher: McGraw-Hill Humanities, Social Sciences & World Languages
ISBN: 9780070215795
Size: 67.82 MB
Format: PDF, Docs
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This text provides a complete introduction to a wide variety of statistical techniques frequently used in the social and behavioral sciences. Adapted from the best-selling behavioral science statistics text, Fundamentals of Behavioral Statistics by Runyon and Haber, Elifson’s text provides the reader with an general introduction, an overview of descriptive statistics, and complete coverage of inferential statistics. Many examples of real life issues present statistics as part of a larger social reality as opposed to a vacuum; Current topics such as HIV/AIDS, health, gender, race, inequality, and crime make statistics relevant for students. In its third edition, the text features an emphasis on the interpretation of data, particularly computer analysis using SPSS, the leading package for statistical analysis.

Mathematics Motivated By The Social And Behavioral Sciences

Author: Donald G. Saari
Publisher: SIAM
ISBN: 1611975174
Size: 66.26 MB
Format: PDF, ePub
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The mathematical challenges coming from the social and behavioral sciences differ significantly from typical applied mathematical concerns. “Change,” for instance, is ubiquitous, but without knowing the fundamental driving force, standard differential and iterative methods are not appropriate. Although differing forms of aggregation are widely used, a general mathematical assessment of potential pitfalls is missing. These realities provide opportunities to create new mathematical approaches. These themes are described in an introductory, expository, and accessible manner by exploring new ways to handle dynamics and evolutionary game theory, to identify subtleties of decision and voting methods, to recognize unexpected modeling concerns, and to introduce new approaches with which to examine game theory. Applications range from avoiding undesired consequences when designing policy to identifying unanticipated voting (where the “wrong” person could win), nonparametric statistical, and economic “supply and demand” properties.