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Effect Size Statistics; Power and Sample Size Calculations; and Statistical Inference

The Craft of Statistical Analysis

  • Effect Size Statistics

Statistically Speaking Trainings

  • An Overview of Effect Size Statistics and Why They are So Important
  • Interpretation of Effect Size Statistics
  • The Fundamentals of Sample Size Calculations
  • Power Analysis and Sample Size Determination Using Simulation
  • Meta-analysis
  • Confidence Intervals
  • Equivalence Tests and Non-Inferiority
  • Inference and p-values and Statistical Significance, Oh My!

Articles at The Analysis Factor

Power and Sample Size Calculations

  • 5 Steps for Calculating Sample Size
  • Power and Sample Size Calculations
  • 5 Ways to Increase Power in a Study
  • The Effect Size: The Most Difficult Step in Calculating Sample Size Estimates
  • Sample Size Estimation Without Past Reliable Pilot Data or Evidence
  • Three Issues in Sample Size Estimates for Multilevel Models
  • Sample Size Estimates for Multilevel Randomized Trials
  • 5 Reasons to Run Sample Size Calculations Before Collecting Data

Effect Size Statistics

  • A Comparison of Effect Size Statistics
  • How to Calculate Effect Size Statistics
  • Two Types of Effect Size Statistic: Standardized and Unstandardized
  • Effect Size Statistics: How to Calculate the Odds Ratio from a Chi-Square Cross-tabulation Table
  • Effect Size Statistics in Logistic Regression

Confidence Intervals

  • Should Confidence Intervals or Tests of Significance be Used?
  • How Confident Are You About Confidence Intervals?
  • How Does the Distribution of a Population Impact the Confidence Interval?
  • How to Interpret the Width of a Confidence Interval

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This Month’s Statistically Speaking Live Training

  • April Member Training: Statistical Contrasts

Upcoming Workshops

  • Logistic Regression for Binary, Ordinal, and Multinomial Outcomes (May 2021)
  • Introduction to Generalized Linear Mixed Models (May 2021)

Read Our Book



Data Analysis with SPSS
(4th Edition)

by Stephen Sweet and
Karen Grace-Martin

Statistical Resources by Topic

  • Fundamental Statistics
  • Effect Size Statistics, Power, and Sample Size Calculations
  • Analysis of Variance and Covariance
  • Linear Regression
  • Complex Surveys & Sampling
  • Count Regression Models
  • Logistic Regression
  • Missing Data
  • Mixed and Multilevel Models
  • Principal Component Analysis and Factor Analysis
  • Structural Equation Modeling
  • Survival Analysis and Event History Analysis
  • Data Analysis Practice and Skills
  • R
  • SPSS
  • Stata

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