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Statistics for the Behavioral Sciences

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ISBN-10: 0716750074

ISBN-13: 9780716750079

Edition: 2008

Authors: Susan A. Nolan, Thomas Heinzen

List price: $182.99
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Description:

This text makes statistics accessible to students through the use of integrated narratives and wide-ranging examples. It emphasizes the link between research design and statistical analysis, promotes graphic literacy, and offers guidelines on how to report results.
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Book details

List price: $182.99
Copyright year: 2008
Publisher: Worth Publishers, Incorporated
Publication date: 9/18/2007
Binding: Hardcover
Pages: 736
Size: 8.50" wide x 10.50" long x 1.25" tall
Weight: 3.586

An Introduction to Statistics and Research Design: The Elements of Statistical Reasoning
Two Branches of Statistics: Growing Our Knowledge about Human Behavior
Descriptive Statistics: Organizing, Summarizing, and Communicating Numerical Information
Inferential Statistics: Using Samples to Draw Conclusions about a Population
Distinguishing Between a Sample and a Population
Variables: Transforming Observations into Numbers
Independent and Dependent Variables: The Main Ingredients of Statistical Thinking
Putting Variables to Work: Independent, Dependent, and Confounding Variables
Developing and Assessing Variables: The Reliability and Validity of Tests
An Introduction to Hypothesis Testing: From Hunch to Hypothesis
Types of Research Designs: Experiments, Non-Experiments, and Quasi-Experiments
Experiments and Causality: Control the Confounding Variables
Research Designs Other than Experiments: Non-Experiments and Quasi-Experiments
One Goal, Two Strategies: Between-subjects Designs vs. Within-subjects Designs
Curiosity, Joy, and the Art of Research Design
Digging Deeper Into the Data: Variations on Standard Research Designs
Outlier Analyses: Does the Exception Prove the Rule?
Archival Studies: When the Data Already Exist
Descriptive Statistics: Organizing, Summarizing, and Graphical Individual Variables
Organizing Our Data: A First Step in Identifying Patterns
Distributions: Four Different Ways to Describe Just One Variable
Applying Visual Depictions of Data: Generating Research Questions
Central Tendency: Determining the Typical Score
The Need for Alternative Measures of Central Tendency: Bipolar Disorder
Mean: The Arithmetic Average
Median: The Middle Score
Mode: The Most Common Score
The Effect of Outliers on Measures of Central Tendency
An Early Lesson in Lying With Statistics: Which Central Tendency is "Best?"
Measures of Variability: Everyone Can't Be "Typical"
Range: From the Lowest to the Highest Score
Variance: The First Step in Calculating Standard Deviation
Standard Deviation: Variation from the Mean
Shapes of Distributions: Applying the Tools of Descriptive Statistics
Normal Distributions: The Silent Power Behind Statistics
Skewed Distributions: When Our Data Are Not Symmetrical
Bimodal and Multimodal Distributions: Identifying Distinctive Populations
Kurtosis and Distributions: Tall and Skinny Versus Short and Wide
Digging Deeper into the Data: Alternate Approaches to Descriptive Statistics
The Interquartile Range: An Alternative to the Range
Statistics that Don't Focus on the Mean: Letting the Distribution Guide our Choice of Statistics
Visual Displays of Data: Graphs That Tell a Story
Uses of Graphs: Clarifying Danger, Exposing Lies, and Gaining Insight
Graphing in the Information Age: A Critical Skill
"The Most Misleading Graph Ever Published": The Cost and Quality of Higher Education
"The Best Statistical Graph Ever Created": Napoleon's Disastrous March to Moscow
Common Types of Graphs: A Graph Designer's Building Blocks
Scatterplots: Observing Every Data Point
Line Graphs: Searching for Trends
Bar Graphs: An Efficient Communicator
Pictorial Graphs: Choosing Clarity over Cleverness
Pie Charts: Are Pie Charts Pass�©?