Data Collection Methods and Questionnaire Design Principles
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Data Collection Methods and Types
Primary Data vs. Secondary Data
Data can be categorized based on its origin:
Primary Data
Data that previously did not exist in our research and, therefore, we had to collect ourselves (e.g., from surveys).
- Advantages: Tailored to suit specific research needs.
- Disadvantages: High cost in terms of time and money.
Secondary Data
Data that had been collected in a previous independent study and is repurposed for use (e.g., from official sources like the INE, IDESCAT).
- Advantages:
- Fast and cheap.
- May contain information difficult to obtain from primary sources.
- Saves effort.
- Disadvantages:
- May not align well with the objectives of the current study.
- May be measured in inadequate units.
- May refer to a previous, potentially outdated, period.
Transverse and Longitudinal Data
These terms describe how observations are structured over time:
- Longitudinal Data: Observations of a single individual or group tracked over time.
- Transverse (Cross-sectional) Data: Observations of a set of individuals observed at a single, given moment in time.
Types of Surveys
Surveys are classified based on the medium and the presence of a pollster:
- Paper Surveys:
- With Pollster: Personal (face-to-face) or telephone interviews.
- Self-Administered: Mail-in, handout, or postcard surveys.
- Electronic Surveys:
- With Pollster: Personal computer-assisted interviewing (CAPI) or computer-assisted telephone interviewing (CATI).
- Self-Administered: Email, web-based forms, or disk/file distribution.
Design of a Questionnaire
The process of designing an effective questionnaire involves several critical steps:
- Identifying information needs.
- Defining goals and reviewing similar studies.
- Conducting previous qualitative research and in-depth interviews.
- Conceptual and operational definition of variables to measure.
- Selecting the appropriate response scale for the questions.
- Question wording and specifications.
- Determining the order of questions.
- Pilot testing the questionnaire.
- Measuring attitudes and abstract variables effectively.
Question Formats and Variable Types
Questions must be formatted according to the type of variable being measured:
- Qualitative Variables: Single answer or multiple answers (checklists).
- Quantitative or Numeric Variables: Require specific numeric data input.
- Attitudinal Variables: Use a battery of questions, estimates of magnitudes, or semantic differential scales (e.g., Likert scales: very poor, poor, good, very good...).
- Rankings: Require respondents to sort items in order of preference.
- Open Questions: Questions without predefined answer choices.
- Advantages: Captures expression and emotion; answer choices do not affect the outcome; useful when possible answers are unknown.
- Disadvantages: Requires greater respondent effort; treatment and coding costs are higher; answers can be ambiguous, incomplete, or hasty.
Modes of Survey Administration
The mode of administration dictates the format and complexity of the questions:
- Self-Administered: Must include clear instructions since there is no pollster present.
- In-Person (Personal): Combines oral delivery and visual aids.
- Telephone: Requires short questions and oral recording of responses.
Questionnaire Structure and Flow
The arrangement and order of questions significantly impact response quality:
- Questions should be ordered logically by theme.
- Start with simple questions concerning the main issue.
- Continue with more complex questions later.
- Questions that might cause abandonment or sensitivity should go toward the end.
- Instructions for entry and screening should be placed at the top.
- Early questions should not bias or discourage responses to later questions.
- The overall distribution and layout of the questions should be attractive and easy to follow.
Pilot Testing the Questionnaire
The pilot test is crucial for verification. It ensures that:
- The questions are clearly understood.
- The response options are adequate.
- Respondents answer in the way intended, and responses are consistent across different respondents.
- The pollsters perform their role well and maintain neutrality.
- Respondents and interviewers follow all instructions correctly.