CHAPTER-5-III-LESSO-16-18
Chapter 5: The East-Asia Trade
Overview
Explores trade practices and technological advancements in East Asia.
Discusses the relevance of sampling processes in data collection.
Lesson 16: Types of Questionnaire
Structured Questionnaires
Provides specific questions with multiple-choice answers.
Easy to analyze but may limit depth of responses.
Unstructured Questionnaires
Asks open-ended questions without pre-defined answers.
Promotes respondent freedom but complicates data analysis in large samples according to Nutt et al. (1996).
Developing Questionnaires
Outline Content of Instrument
Draft questions or adapt from existing instruments.
Ensure clarity and relevance of each question.
Principles in Constructing a Questionnaire
Define Terms: Avoid misinterpretation of key terms.
Descriptive Adjectives: Use cautiously to avoid confusion.
Avoid inadequate Alternatives: Ensure that answer choices are adequate.
No Double Negatives: These complicate understanding.
Single Idea Questions: Phrase to focus on one concept per question.
Systematic Quantification: Design for clear numerical analysis.
Important Topics: Focus on significant issues important to respondents.
Unique Information: Seek new insights not available from other sources.
Length and Appearance: Keep it as short as possible. It should be visually appealing and clearly arranged.
Clear Directions: Ensure all instructions and terms are adequately explained.
Good Psychological Order: Start with general questions before moving to specifics, avoiding potentially embarrassing queries.
Lesson 17: Two Types of Questions
Open-ended Questions
Allows detailed responses, inviting explanations regarding study issues.
Typical prompts include "what," "why," and "how."
Closed Questions
Known as fixed alternative questions, providing predefined answer choices.
Useful for structured information gathering based on existing knowledge or literature.
Validity in Questionnaires
Types of Validity
Content Validity: Adequate representation of knowledge and skills.
Construct Validity: Reflects the construct underlying a theoretical framework.
Criterion-related Validity: Includes:
Predictive Validity: How well a test predicts future performance.
Concurrent Validity: How well a test correlates with an established metric.
Reliability in Questionnaires
Concept of Reliability
Consistency of measurement across time.
Reliable instruments yield similar scores in repeated uses.
Sensitivity
Ability of an instrument to distinguish nuances related to the problem being assessed.
Objectivity
Ensures measures are free from personal biases.
Feasibility
Considers practical aspects like skill requirements, costs, and time investment.
Lesson 18: Data Analysis
Analyzing Data
Raw data collected requires processing to derive meaningful conclusions.
This includes identifying trends, patterns, and relationships among variables through proper statistical tests.
Purpose of Data Analysis
To convert data into informative findings that describe trends and variations.
Involves systematic scientific treatment of data.
Conclusion
Acknowledgment
Thank attendees for their participation and congratulate them on progressing toward graduation.