Objective

The main objective of the questionnaire is to collect data regarding participants’ perceptions, knowledge, and attitudes toward specific topics or textual materials. This tool is used to assess the frequency, understanding, and response of participants to various pieces of information presented in texts.

Analysis

The analysis of data collected from the questionnaire includes:
Descriptive Statistics: Presentation of the basic characteristics of the data (e.g., means, variances, percentages).
Frequency Analysis: Recording and analyzing how frequently responses occur.
Comparative Analysis: Comparing responses between different groups of participants.
Correlation: Examining the relationship between various variables (e.g., knowledge and attitude).
Qualitative Analysis: Analyzing open-ended questions to identify themes and patterns.

Scoring

Scoring the questionnaire involves evaluating the reliability and validity of the tool. This can be achieved through:
Preliminary Testing: Testing the questionnaire on a small sample to identify and correct issues.
Reliability Analysis: Using statistical methods (such as Cronbach’s alpha) to assess the internal consistency of the questionnaire scales.
Validity Analysis: Assessing content, criterion, and construct validity to ensure the questionnaire measures what it is intended to measure.

References

Dillman, D. A., Smyth, J. D., & Christian, L. M. (2014). Internet, Phone, Mail, and Mixed-Mode Surveys: The Tailored Design Method. John Wiley & Sons.
DeVellis, R. F. (2016). Scale Development: Theory and Applications (4th ed.). Sage Publications.
Fowler, F. J. (2013). Survey Research Methods (5th ed.). Sage Publications.