Hello everyone,
I have realized that many of the participants in my study have brushed/skipped over my questionnaire and would like to exclude their responses.
I am replicating a 1400-worded Likert scale, which consists of 39 questions, and another 100 words related to demographics. The questions happen to be quite philosophical as well.
So far, I have only found the following (but require an article to cite): http://question-science.blogspot.com/2012/07/how-to-calculate-length-of-survey.html
If someone could provide a formula and 'article' to cite, it would really be appreciated.
Thank you!
Sanyar Sohrabi To determine the length of a survey, just total up the number of words in all of the survey's questions and instructions. In your scenario, the survey length would be 1400 words Plus 100 words = 1500 words.
A survey's duration may also be calculated in terms of the number of questions. In your scenario, the survey would include 39 questions plus any demographic questions.
It's worth noting that the length of a survey may also be quantified in terms of how long it takes to finish. This may be estimated by completing the survey with a random sample of participants and calculating the average completion time.
In terms of citations, the issue of survey duration is actively debated in the field of survey research. Start by reading publications from respectable journals like the Journal of Survey Statistics and Methodology, Public Opinion Quarterly, and the International Journal of Social Research Methodology.
There is no one-size-fits-all formula for determining which responses to exclude in a study, as it will depend on the specific research question and design. However, there are some general guidelines that researchers often use when deciding to exclude certain responses.
One commonly used method is called "listwise deletion," where any participant whose responses are missing on any of the questionnaire items is excluded from the analysis. This method is often used when the missing data is considered to be "missing at random," meaning that the missing data is not related to the outcome of interest.
Another method is called "multiple imputation," where missing data is imputed (estimated) based on the other available information. This method is often used when the missing data is not missing at random.
It is also important to consider the proportion of missing data. If a small proportion of the data is missing, then listwise deletion or multiple imputation may not greatly impact the overall results. However, if a large proportion of the data is missing, it may be necessary to consider the potential impact on the results and the sample size.
You can cite the article "Handling Missing Data" by Little and Rubin (1987) as a reference for these methods.
Calculating the length of a survey depends on several factors, such as the number of questions, the complexity of the questions, and the purpose of the survey. To calculate the length of a survey, first, determine how many questions need to be asked in order to achieve the desired results. Next, consider the complexity of the questions. If the questions are complex and require detailed answers, the survey will take longer to complete. Additionally, if the survey is for a research study, the length of the survey may be longer than if it were for market research. Once you have taken all of these factors into consideration, you can calculate the length of the survey by multiplying the number of questions by the average time it takes to answer each question.
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