A step-by-step guide for calculating the most common statistical procedures in user research using Excel or R. With 100 examples pulled from Quantifying the User Experience (Morgan-Kaufmann) we provide the reader with the right methods for comparing means and proportions, generating confidence intervals, finding the right sample size as well as many statistical procedures not available in common statistical packages. The procedures are relevant for small and large sample sizes.

Excel and R Companion to Quantifying the User Experience: Rapid Answers to over 100 Examples and Exercises

Science & Math

Sauro, Jeff

Lewis PhD, James R

Mathematics

CreateSpace Independent Publishing Platform

A step-by-step guide for calculating the most common statistical procedures in user research using Excel or R. With over 100 examples pulled from the 2nd Edition of Quantifying the User Experience (Morgan-Kaufmann) we provide the reader with the right methods for comparing means and proportions, generating confidence intervals, finding the right sample size as well as many statistical procedures not available in common statistical packages. The procedures are relevant for small and large sample sizes.

Excel and R Companion to the 2nd Edition of Quantifying the User Experience

Sauro PhD, Jeff

Practical examples gleaned through years of experience developing, conducting (and taking) surveys for both Fortune 500 companies and small startups. We use examples of surveys that the team at MeasuringU has performed to give you constructive information for better surveys in four parts:Part 1: Planning the Survey (Chapters 1-4): Guidance on the common "how much," "how long," and "how do we" questions, with practical advice on making the most of your survey.Part 2: Writing Survey Questions (Chapters 5-9): Methods for choosing and writing survey questions guided by an understanding of the anatomy of survey questions and the effects of human memory and cognition.Part 3: Survey Response Options (Chapters 10-16): Data-driven guidance on leading practice in survey item formats, starting with a taxonomy of response options and literature reviews and continuing with original experimentation on the effects of the number of scale points, labeling, item tone, primacy bias, acquiescence bias, cultural effects, and numerous presentation effects.Part 4: Data Collection & Analysis (Chapters 17-22): Several step-by-step guides on gathering raw survey data, graphing survey dataYou might wonder-do we really need another book on surveys? There are a lot of books on survey design and analysis. What makes our book different? This book is for UX researchers, CX professionals, designers, product owners, marketers, and anyone else who has a vested interest in collecting data through surveys. In a nutshell:

Surveying the User Experience: Design and Analysis of Surveys for UX and Customer Research

Business & Money

Marketing & Sales

MeasuringU Press

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