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• Title:Empirical methods in law / Robert M. Lawless, Jennifer K. Robbennolt, Thomas S. Ulen.
  
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• Author/Creator:Lawless, Robert M., 1964- author.
  
• Other Contributors/Collections:Robbennolt, Jennifer K., author.
  Ulen, Thomas, author.
  
• Published/Created:New York : Wolters Kluwer, [2016]
  ©2016
  

• Holdings

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  • Location: c.1  Temporarily shelved at LAW LIBRARY reference room (level 2)Where is this?
    
  • Call Number: K212 .L394 2016
    
  • Number of Items:1
    
  • Status:Available
    

   
• Library of Congress Subjects:Law--Statistical methods.
  
• Edition:Second edition.
  
• Description:xviii, 364 pages : illustrations ; 26 cm
  
• Series:Aspen select series.
  
• Notes:Includes bibliographical references and index.
  
• ISBN:9781454875802 paperback
  1454875801 paperback
  
• Contents:Machine generated contents note: pt. I Introduction: How to Use This Book
  ch. 1 Thinking Empirically
  I. What Are Empirical Methods?
  II. Thinking Empirically
  A. Some Characteristics of Empirical Research
  B. Some Limitations of an Empirical Approach
  ch. 2 Research Design
  I. Generating Hypotheses
  II. Selecting a Research Method
  A. Description
  B. Exploring Causation
  C. Time
  III. Validity and Reliability
  A. Internal Validity
  B. External Validity
  C. Construct Validity and Operational Definitions
  D. Reliability
  IV. Multiple Studies, Multiple Methods
  A. Reproducibility and Replication
  B. Convergent Validity
  pt. II How to Gather Data: Empirical Research Methodologies
  ch. 3 Asking Questions: Surveys and Interviews
  I. Examples
  A. Example: Studies of Well-Being
  B. Example: Trademark and Genericness
  C. Example: Change of Venue
  II. Designing and Evaluating Surveys
  A. Who Are the Participants?
  B. Drafting Questions
  C. Methods of Conducting Surveys
  ch. 4 Experimental Data
  I. Experimental Control and Random Assignment
  A. Experimental Manipulations and Control Groups
  B. Random Assignment
  II. Field Experiments
  III. Laboratory and Simulation Experiments
  IV. Quasi-Experiments
  V. Natural Experiments
  ch. 5 Archival Data
  I. Compiling Your Own Data
  II. Using Existing Datasets
  III. Access to Data
  ch. 6 Sampling
  I. Why Sample?
  II. Population to Be Studied
  III. Types of Sampling
  A. Probability Sampling
  B. Nonprobability Sampling
  IV. Sample Size
  V. Sampled Evidence in Court
  A. Acceptance of Samples in Court
  B. Current Application: Sampling in Mass Torts
  ch. 7 Coding
  I. What is Coding and Why Do We Care?
  II. Assembling a Database
  III. Coding Data into Variables
  A. General Issues About Variables
  B. Specific Best Practices for Coding
  IV. Ensuring the Reliability of the Database
  pt. III How to Evaluate Data: Statistical Techniques
  ch. 8 Distributions and How to Describe Them
  I. "The Data Are..." (Or How I Learned to Love the Data and Think About Them as a Distribution)
  II. Summarizing Data (Or How I Learned to Stop Worrying and Think Beyond the Average)
  A. Measures of Central Tendency
  B. Describing the Variation in the Data
  C. Describing the Shape of the Data
  III. Some Probability Distributions (Or How I Learned to Stop Worrying and Be Normal)
  A. Binomial Distribution
  B. Normal Distribution
  C. Transformations
  D. Outliers
  ch. 9 Hypothesis Testing and Statistical Significance
  I. Learning by Falsification and the Null Hypothesis
  II. How Certain Do You Have to Be? The Concept of Statistical Significance
  III. Moving Beyond the Binomial
  IV. Confidence Intervals and Effect Sizes
  V. (Very Short) Introduction to Bayesian Reasoning
  ch. 10 Inferential Statistics
  I. Chi-square (X2) Statistic
  A. Calculating the Chi-square Statistic
  B. Chi-square with More Than Two Categories
  C. Assumptions of Chi-square
  D. Examples and Applications
  II. Student's f-statistic
  A. Calculating Student's t
  B. Assumptions of the f-test and Some Tips for Its Use
  III. ANOVA and the F-statistic
  A. ANOVA and Calculation of the F-statistic
  B. Assumptions of ANOVA and the F-statistic
  C. Factorial ANOVA
  ch. 11 Correlation and Regression Analysis
  I. Associations Among Variables
  A. Scatterplots
  B. Covariance and Correlation
  II. Regression
  A. Simple Linear Regression: The Concept
  B. Simple Linear Regression: An Example
  C. Simple Linear Regression: Goodness of Fit and Measuring the Statistical Significance of the Coefficients
  D. Multiple Regression
  E. Things to Watch for and Things That Can Go Wrong
  ch. 12 Specialized Regression Techniques
  I. Nonlinearities, Transformations, and Interactions
  A. Nonlinearities Generally
  B. Transformations Again
  C. Interactions
  II. Limited Dependent Variables
  A. Categorical Dependent Variables: Logit and Probit Regression
  B. Censored Dependent Variables: The Tobit Regression
  C. Truncated Dependent Variables
  III. Data Than Span Time Periods
  A. Time-Series Data
  B. Panel Data
  pt. IV Communicating Your Results: Writing About and Presenting Empirical Matters
  ch. 13 Communicating Empirical Results
  I. Writing About Empirical Matters
  A. Some General Considerations
  B. Displaying Data: Tables and Figures
  II. Presentations
  A. Oral Presentations of Empirical Research
  B. Presentation Software
  ch. 14 Conclusions
  I. What Have We Learned?
  II. Biased Assimilation of Empirical Studies
  III. Promise of Empirical Methods in Law.