Surveys: Applications, Types, Questions, and Data Analysis
Learn about the practical applications of surveys in various fields, types of surveys, different question types, common errors and biases, data analysis techniques, and a case study on Electric Vehicle adoption survey with key findings and impact.
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Presentation Transcript
Introduction to Surveys Surveys in Practice: Widely used in fields such as: Marketing Psychology Sociology Information Systems The Semantic Differential is often used to measure: Subjective perception Affective reactions to concepts such as: Marketing communication Political candidates Alcoholic beverages Websites
Surveys A method of collecting data from a group of respondents. It is used to gather opinions, behaviors, or factual information
Types of Surveys Cross-sectional Surveys Data collected at a single point in time Longitudinal Surveys Data collected over time (e.g., panel studies, cohort studies) Descriptive Surveys Describe characteristics of a population Analytical Surveys Investigate relationships between variables
Types of Questions Open-ended vs. Closed-ended Likert scale (e.g., Strongly Agree to Strongly Disagree) Multiple-choice Ranking questions
Common Survey Errors & Biases Sampling Bias Not representing the population correctly Response Bias People answering dishonestly or inaccurately Non-Response Bias When certain groups do not respond Question Wording Effects Poorly framed questions leading to misinterpretation
Data Analysis in Surveys Descriptive Statistics: Mean, Median, Mode, Frequency distribution Inferential Statistics: Hypothesis testing, Regression analysis Visualization: Graphs, Charts, Heatmaps
Case Study: Electric Vehicle (EV) Adoption Survey Objective: To understand consumer perception, challenges, and acceptance of electric vehicles (EVs). Methodology: Surveyed 10,000+ consumers across different regions. Questions focused on charging infrastructure, cost, battery range, and environmental benefits.
Findings and Impact 60% of respondents were concerned about charging stations availability. High battery cost was a major factor slowing adoption. Government incentives increased willingness to buy Evs Helped policymakers design better EV incentives Led to expansion of fast-charging networks. Pushed companies to invest in battery technology improvements.
Semantic Difference Scale It measures the subjective perception of and affective reactions to more specific concepts 3 2 1 0 -1 -2 -3 Heavy Light Hot Cold Strong Weak Active Passive
Likert Scale Strongly Agree Agree Undecided Disagree Strongly Disagree
Staple Scale +5 +5 +5 +4 +4 +4 +3 +3 +3 +2 +2 +2 +1 +1 +1 Tasty Food Fast Service Good Ambience -1 -1 -1 -2 -2 -2 -3 -3 -3 -4 -4 -4 -5 -5 -5
Design a set of 15 questions for a survey on any one of the following topics: Renewable Energy Adoption and Challenges Artificial Intelligence (AI) in Daily Life Electric Vehicle (EV) Adoption & Infrastructure 3D Printing in Engineering & Medicine Water Conservation & Smart Irrigation Cybersecurity Awareness & Digital Privacy Space Exploration & Public Opinion on Mars Colonization
