Title Statements
- Full title :Modern Survey Analysis : Using Python for Deeper Insights.
Edition Statements
- Publication Date:©2022.
Publication Statements
- Publisher(s):Springer International Publishing AG
- Place of Publication:Cham
- Language:eng
- Publication Date:©2022.
The Physical Object
- Description:1 online resource (365 pages)
Edition Identifiers
- ISBN:9783030762674, 303076267X
- oclc:on1346452500
- LC Classification:QA276-280
Table of Contents
Intro -- Preface -- Why Surveys? -- Why Python? -- Preliminaries for Getting Started -- The Book's Structure -- Contents -- List of Figures -- List of Tables -- 1 Introduction to Modern Survey Analytics -- Contents -- 1.1 Information and Survey Data -- 1.2 Demystifying Surveys -- 1.2.1 Survey Objectives -- 1.2.2 Target Audience and Sample Size -- 1.2.2.1 Key Parameters to Estimate -- 1.2.2.2 Sample Design to Use -- 1.2.2.3 Population Size -- 1.2.2.4 Alpha -- 1.2.2.5 Margin of Error -- 1.2.2.6 Additional Information -- 1.2.3 Screener and Questionnaire Design -- 1.2.4 Fielding the Study -- 1.2.5 Data Analysis -- 1.2.6 Report Writing and Presentation -- 1.3 Sample Representativeness -- 1.3.1 Digression on Indicator Variables -- 1.3.2 Calculating the Population Parameters -- 1.4 Estimating Population Parameters -- 1.5 Case Studies -- 1.5.1 Consumer Study: Yogurt Consumption -- 1.5.2 Public Sector Study: VA Benefits Survey -- 1.5.3 Public Opinion Study: Toronto Casino Opinion Survey -- 1.5.4 Public Opinion Study: San Francisco Airport Customer Satisfaction Survey -- 1.6 Why Use Python for Survey Data Analysis? -- 1.7 Why Use Jupyter for Survey Data Analysis? -- 2 First Step: Working wi…
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