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Statistics for The Behavioral and Social Sciences: A Brief Course, 5th Edition
- ©2011
- | Pearson
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For one-quarter/semester courses that focus on the basics in statistics or combine statistics with research methods.
The fifth edition of Statistics for the Behavioral and Social Sciences builds off an already well-established approach - emphasizing the intuitive, deemphasizing the mathematical, and explaining everything in direct, simple language - but also goes beyond these principles to further student understanding. By using definitional formulas to emphasize the concepts of statistics, rather than rote memorization, students work problems in a way that keeps them constantly aware of the underlying logic of what they are doing.
Aron, Aron & Coups
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The text capitalizes on the students’ motivations in two major ways.
Emphasis on statistical methods as a living, growing field of research.
Preparing students to read research articles.
A Web Chapter (available at www.pearsonhighered.com/irc) that looks at advanced procedures without actually teaching them in detail. It explains in simple terms how to make sense out of these statistics when they are encountered in research articles.
Do your students have access to the most recent and relevant topics in statistics?
The most up-to-date research available.
Instructor Resources:
New and effective pedagogy.
General Changes
Changes to Each Chapter
Chapter 1 Displaying the Order in a Group of Numbers Using Tables and Graphs
· Frequency tables are now constructed going from the lowest value to the highest value (which provides consistency with the approach used in SPSS)
· To keep the book brief, and to maintain the focus on histograms (which more commonly appear in actual journal articles), the material on frequency polygons was removed
Chapter 2 The Mean, Variance, Standard Deviation, and Z Scores
· The median is now calculated after lining up the scores from the lowest value to the highest value
· A new section heading was added , “Comparing Representative Values”, and the income values in the first paragraph in that section were updated
· In the “Variability” section, the ages of the students described in the first paragraph were updated
Chapter 3 Correlation and Prediction
· An example (from a 2009 research study) of the use of the correlation coefficient for test-retest reliability is now included in the “… in Research Articles” section
Chapter 4 Some Key Ingredients for Inferential Statistics: The Normal Curve, Sample versus Population, and Probability
· In the “Why the Normal Curve is so Common in Nature section”, a paragraph was added to clarify that the distributions of variables in the behavioral and social sciences do not always follow a normal curve.
· Box 4—1 was updated and also now includes a reference to the 2008 U.S. presidential election.
· In the “Probability, Samples, and Populations section”, a new figure was added to further illustrate the relevance of probability to sample and populations.
· Several practice problems were updated using recent research articles (for example, a 2009 survey of smoking and exposure to smoking in movies among U.S. adolescents).
Chapter 5 Introduction to Hypothesis Testing
· In the “Implications of Rejecting or Failing to Reject the Null Hypothesis” section, a new paragraph was added discussing the issue of statistical versus practical significance.
· A practice problem was added pertaining to the new “… in Research Articles” example of video-game use among American youth.
Chapter 6 Hypothesis Testing with Means of Samples
· Several of the figures (e.g., 6—3 and 6—4) now more clearly illustrate their respective points
· The “Advanced Topic: Estimation and Confidence Intervals” section has been updated and streamlined. For example, the terms “point estimate” and “interval estimate” are no longer explicitly mentioned (although the relevant concepts are still described), which reduces the number of new terms introduced in this conceptually demanding chapter. The “Range of Possible Means Likely to Include the Population Mean” section now includes a summary paragraph.
Chapter 7 Making Sense of Statistical Significance: Effect Size and Statistical Power
· In the “Role of Power When a Result Is Statistically Significant: Statistical Significance versus Practical Significance” section, additional text was added regarding the issue of statistical versus practical significance.
· A practice problem was added pertaining to the new “… in Research Articles” example of psychological treatments of emotional and behavioral problems among ethnic minority youth.
· A new practice problem was added for a 2009 meta-analytic study of patients’ experiences of serious adverse events (such as a life-threatening medical event) during randomized controlled trials of medical treatments.
Chapter 8 Introduction to the t test: Single Sample and Dependent Means
· A new table was added that reviews and compares the features of the Z test, the t test for a single sample, and the t test for dependent means.
· The values for the second example of a t test for dependent means were revised (to create a more normal distribution)
· A new practice problem was added for a 2008 study of individuals’ use of MySpace blogging and their level of social integration.
Chapter 9 The t Test for Independent Means
· The initial, demanding conceptual material for the t test for independent means is now divided into two sections (the “Distribution of Differences between Means” and “Estimating the Population Variance”), each with its own “How are you doing?” section.
· The second example of a t test for independent means (the job skills example) has been revised to have unequal numbers of individuals in the experimental and control groups.
Chapter 10 Introduction to the Analysis of Variance
· The example for factorial analysis of variance was changed to one that is even easier to follow.
· The “... in Research Articles” now includes a figure depicting a line graph of an interaction effect (from a 2009 study of mindfulness, gender, and academic performance among students).
Chapter 11 Chi-Square Tests and Strategies when Population Distributions are not Normal
· The primary example for the chi-square test for goodness of fit has been changed to a more engaging example (based on a 2009 study of the gender of characters on cereal boxes).
· The primary example for the chi-square test for independence uses the same engaging example as the chi-square test for goodness of fit (based on a 2009 study of the gender and age of characters on cereal boxes).
Chapter 12 Applying Statistical Methods in Your Own Research Project
· Box 12—1 has been updated to include a discussion of current and future trends in statistics for the behavioral and social sciences.
· The “Conducting the Study” section now includes a subsection on “Conducting Research Using Computerized and Internet Methods” (which includes references to relevant, recent books)
· The “Checks for Accuracy” section now includes a description and relevant SPSS output related to the issue of identifying and correcting data entry mistakes.
· The “Missing Values” section now includes instructions on how to use the SPSS “replace missing values” function to replace missing values with the mean of all other participants who had scores for a particular variable.
The “Writing Up Your Results” section now includes references to recent, relevant books that address various issues associated with writing up research studies and producing tables/figures.Chapter 1 - Displaying the Order in a Group of Numbers Using Tables and Graphs
Chapter 2 - The Mean, Variance, Standard Deviation, and Z Scores
Chapter 3 - Correlation and Prediction
Chapter 4 - Some Key Ingredients for Inferential Statistics: The Normal Curve, Sample Versus Population, and Probability
Chapter 5 - Introduction to Hypothesis Testing
Chapter 6 - Hypothesis Tests with Means of Samples
Chapter 7 - Making Sense of Statistical Significance: Effect Size and Statistical Power
Chapter 8 - Introduction to the t Test: Single Sample and Dependent Means
Chapter 9 - The t Test for Independent Means
Chapter 10 - Introduction to the Analysis of Variance
Chapter 11- Chi-Square Tests and Strategies When Population Distributions Are Not Normal
Chapter 12 - Applying Statistical Methods in Your Own Research Project
Arthur Aron, Ph.D.
Dr. Aron is Professor of Psychology at the State University of New York at Stony Brook, Director of the Stony Brook Interpersonal Relationships Lab (http://www.psychology.stonybrook.edu/aronlab-), and Co-Director of the Stony Brook Social, Cognitive, and Affective Neuroscience Center. His research centers on the self-expansion model of motivation and cognition in personal relationships and intergroup relations, including the neural underpinnings and real-world applications of the model to close relationships and intergroup relations. He has published more than 100 scientific papers, including two foundational papers in collaboration with Dr. Elaine Aron on his basic theoretical model that have more than 500 citations; and his earliest one, on the “shaky bridge study,” has become a classic in the field and is cited in nearly every introductory psychology text, social psychology text, and psychology methods text published in the last 20 years. He currently serves on the editorial boards of the Journal of Personality and Social Psychology, Psychological Science, Personal Relationships, and Journal of Social and Personal Relationships. He is a Fellow of the American Psychological Association, the Association for Psychological Science, the Society of Personality and Social Psychology, and the Society for the Psychological Study of Social Issues. He has received major grants from the National Science Foundation, the Templeton Foundation, the Fetzer Foundation, and the Social Science and Humanities Research Council of Canada. He recently received the Distinguished Research Career Award from the International Association for Relationship Research.
Elliot J. Coups, Ph.D.
Dr. Coups is Associate Professor of Medicine at UMDNJ-Robert Wood Johnson Medical School and a faculty member in the Division of Public Health Science at The Cancer Institute of New Jersey. He received his PhD in social/health psychology from Rutgers University and completed a postdoctoral fellowship in cancer prevention and control at Memorial Sloan-Kettering Cancer Center. Dr. Coups’ primary area of research focuses on understanding and promoting health-related behaviors among cancer survivors. His research in this area has included identifying the prevalence and correlates of physical activity among lung cancer survivors, testing the feasibility of an Internet-based weight loss intervention for colorectal cancer survivors, and examining longitudinal changes in health behaviors among individuals completing treatment for colorectal cancer. Dr. Coups also conducts research to identify the prevalence, patterns, and correlates of behavioral risk factors for cancer among the general adult population. The goal of Dr. Coups’ research program is to develop innovative, theory-driven health behavior interventions that enhance the quality of life of cancer survivors and those at risk for cancer. Dr. Coups has published more than 40 peer-reviewed journal articles and book chapters, and his research has been supported by grants from the Lance Armstrong Foundation and the National Cancer Institute.
Elaine N. Aron, Ph.D.
Dr. Aron is a researcher, writer, and clinical psycholgist in private practice. Her most widely cited work focuses on the innate temperament/personality trait of sensory processing sensitivity, with research ranging from in-depth qualitatve interviews to laboratory experiments, representative surveys, and neuroimaging studies. She is also well known for her research in collaboration with Dr. Arthur Aron on close relationships, including two seminal books. She has published more than 40 research papers and has given more than 100 invited talks, colloquia, and continuing education workshops for professionals. Her just released book Psychotherapy and the Highly Sensitive Person(Routledge, 2010) represents the integration of her research with her clinical experience. In addition to her academic writing, she has published eight books for the general public based on her research, including the best-selling The Highly Sensitive Person, translated into 14 languages, and The Highly Sensitive Child, translated into 10 languages(both Broadway Books), and the just released The Undervalued Self (Little, Brown, 2010). She has also published a best-selling novel.
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