Validated Survey Construction Guide

Creating a well-constructed survey is crucial for collecting accurate and useful data in medical research. Here are some guidelines to follow:

Step 1: Define Your Research Question

Before creating a survey, you must first clearly define your research question. This will guide you in selecting the appropriate questions to ask in your survey.

Step 2: Determine the Type of Questions to Ask

Decide on the type of questions you will use in your survey. There are several types of questions to choose from, including:

  1. Open-ended questions: Allow respondents to answer in their own words.
  2. Close-ended questions: Provide respondents with a set of predefined answer choices.
  3. Multiple-choice questions: Similar to close-ended questions, but with multiple answer choices.
  4. Rating questions: Ask respondents to rate a statement on a scale.
  5. Ranking questions: Ask respondents to rank a set of items in order of importance.

Step 3: Write Clear and Concise Questions

Write questions that are clear and concise. Avoid using jargon or technical language that respondents may not understand. Make sure the question is focused and easy to understand.

Step 4: Develop the tool

A scoring system can be an effective way to measure health outcomes in medical research. Here are some guidelines to follow when constructing a scoring system:

A: Define Your Health Outcome

Before creating a scoring system, you must first clearly define the health outcome you are trying to measure. This will guide you in selecting the appropriate variables to include in your scoring system.

B: Determine Your Scoring Methodology

Decide on the methodology you will use to calculate the score. There are several methods to choose from, including:

  1. Simple sum: Add up the scores for each variable.
  2. Weighted sum: Assign weights to each variable and add up the weighted scores.
  3. Point system: Assign points to each variable based on a predefined scale and add up the points.

C: Select Your Variables

Select the variables that will be included in your scoring system. These should be variables that are relevant to the health outcome you are measuring and can be reliably measured.

Variable 1Description of variable 1
Variable 2Description of variable 2
Variable 3Description of variable 3
Variable 4Description of variable 4

D: Assign Scores to Each Variable

Assign scores to each variable based on their importance and their contribution to the health outcome you are using

Variable 1Description of variable 13
Variable 2Description of variable 22
Variable 3Description of variable 34
Variable 4Description of variable 41

E: Calculate the Score

Calculate the score for each participant in your study by adding up the scores for each variable. The final score will provide a measure of the health outcome you are trying to measure.

Conclusion: A scoring system can be a valuable tool in medical research to measure health outcomes. By following these guidelines, you can construct a scoring system that is reliable, transparent, and effective in measuring the health outcome you are interested in.

Whenever possible, use validated questions that have been tested and proven to be effective in previous research studies. This will ensure the reliability and validity of your survey results.

Step 5: Pilot Test Your Survey

Before administering your survey to your target population, pilot test your survey with a small group of individuals to ensure that the questions are clear, concise, and easy to understand. This will also help identify any issues with the survey that need to be addressed before the main study.

Step 6: Administer Your Survey

Once you have finalized your survey, you are ready to administer it to your target population. Make sure to provide clear instructions on how to complete the survey and set a deadline for submission.

Extra Resources

Practical Guidelines to Develop and Evaluate a Questionnaire
Life expectancy is gradually increasing due to continuously improving medical and nonmedical interventions. The increasing life expectancy is desirable but brings in issues such as impairment of quality of life, disease perception, cognitive health, and…
Best Practices for Developing and Validating Scales for Health, Social, and Behavioral Research: A Primer
Scale development and validation are critical to much of the work in the health, social, and behavioral sciences. However, the constellation of techniques required for scale development and evaluation can be onerous, jargon-filled, unfamiliar, and resource-intensive. Further, it is often not a part…