Essentials of Statistics for Research [Hardcover]

1.?Introduction.?2.?Data Concepts.?3.?The Statistical Law of Gravity (a.k.a the Central Limit Theorem).?4.?Using the data: Introducing Hypothesis Tests and Confidence Intervals.?5.?How Confidence Intervals and tests play well together (or not).?6.?Introduction to Simple Linear Regression.?7.?Regression by the Numbers: Making Sense of and Using the Output.?8.?Background Reading and a Few New Ideas.?9.?The Use of Logarithms in Regression Models.?10.?Introduction to Multiple Regression.?11.?Multiple Regression Examples.?12.?Two Essays on Multiple Regression.?13.??Introduction to Logistic Regression.?14.??One and Two Sample Methods for Means and Proportions.?15.??Relative Inference for Means From Two Samples: Introducing the Bootstrap.?16.??A Brief Introduction to ANOVA.?17.??Response Feature Analyses for Repeated Measures Data.?18.??Epilogue.?

Offers a working introduction to essential statistical methods that uses an accessible conceptual understanding without excessive mathematical details, emphasizes role of good judgment when choosing analysis approaches - analysis should serve the science, shed light on the story contained in the data.

Ken Gerow pours his life out into everything he does, so it's no surprise that he and Jorge have made a book that not only encapsulates thirty-plus years of teaching, but also a lifetime of experience. Essentials of Statistics for Researchers is not a textbook in the traditional sense. Rather, this book is a field guide on statistical thinking crafted with a tone that dismantles the fear surrounding mathematics and replaces it with curiosity and confidence. Through real-world examples, this book walks the reader through the use of essential statistical tools in a way that is accessible, informative, and engaging. So whether you're a practicing researcher, a student, or someone who swore statistics off all together, this book invites you back to the table with no judgeml(