Basic elements of survey research in education : addressing the problems your advisor never told you about

"The intended audience of the volume will be practitioners, administrators, teachers as researchers, graduate students, social science and education researchers not experienced in survey research, and students learning program evaluation. This volume will serve as a complementary reference guid...

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Bibliographic Details
Other Authors Luhanga, Ulemu (Editor), Harbaugh, Allen Gregg (Editor)
Format Electronic eBook
LanguageEnglish
Published Bingley, U.K : Emerald Publishing Limited : Information Age Publishing, Inc., 2021.
SeriesSurvey Methods in Educational Research.
Subjects
Online AccessFull text
ISBN9781806603800
DOI10.1108/978-1-64802-604-1
Physical Description1 online resource (vii, 815 pages)

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Table of Contents:
  • The Psychological and Statistical Take on Survey Item Construction
  • Subjective Nuances of the Objective Survey Research and Scale Development
  • Survey and Question Construction
  • Creating AI? Structurally Sound Instrument by Utilizing Principles of Measurement Theory
  • How to Effectively Communicate With Respondents: Principles of Survey Design
  • Cognitive Interview for Survey Development and Validation
  • Methods and Biases in Measuring Change With Self-Reports
  • Translation of Surveys for International Research
  • Using AI? Measurement Framework to Examine Item Quality/Functioning
  • It's All About Power: Sample Size Considerations for Comparative Studies Using Survey Data
  • Cognitive Interviewing and Pilot Studies
  • Implementing Your Sampling Strategy in an Educational Setting
  • High-Impact Practices: Administrators and Providers Working to Maximize Online Survey Response Rates
  • A Critical Analysis of Most Popular Online Survey Software From AI? Design Perspective
  • Cleaning and Reporting Complex Survey Data: What to Do About Skip Logic and Conditional Response Options
  • Item Review Methods
  • The Prevention and Detection of Deception in Self-Report Survey Data
  • Calculating and Using Weights
  • Effectively Communicating Survey Results
  • Survey Extreme Response StyleValidity Arguments in Survey Research
  • Detecting and Interpreting Response Bias and Method Effects
  • Enhancing the Interpretation of Scores Through Rasch/ Guttman Scenario Scales
  • Validating the Findings of AI? Survey Research Study
  • Educational Applications Using Large-Scale Survey Data Sets: Opportunities and Challenges
  • Translating and Adapting Survey Instruments: Important Steps That Will Define the Quality and Optimize the Validity of AI? Research Instrument.