Modern Survey Analysis

Modern Survey Analysis: Using Python for Deeper Insights

by PACZKOWSKI, WALTER R.

Type Book
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Title Statements

  • Full title :Modern Survey Analysis : Using Python for Deeper Insights.

Edition Statements

  • Publication Date:©2022.

Publication Statements

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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