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To change this template's initial visibility, the |state= parameter may be used: {{Survey data collection | state = collapsed}} will show the template collapsed, i.e. hidden apart from its title bar. {{Survey data collection | state = expanded}} will show the template expanded, i.e. fully visible.
A survey using a Likert style response set. This is one example of a type of survey that can be highly vulnerable to the effects of response bias. Response bias is a general term for a wide range of tendencies for participants to respond inaccurately or falsely to questions.
It is the most natural form of a questionnaire. Nominal-polytomous, where the respondent has more than two unordered options. The nominal scale, also called the categorical variable scale, is defined as a scale used for labeling variables into distinct classifications and does not involve a quantitative value or order.
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The survey, form, app or collection tool is on a mobile device such as a smart phone or a tablet. These devices offer innovative ways to gather data, and eliminate the laborious "data entry" (of paper form data into a computer), which delays data analysis and understanding.
This includes the exact proposed wording of the new material, the exact proposed location for it, and an explicit description of any wording to be removed, including removal for any substitution. Include the sources (per above) that support the edits that you are suggesting; if you do not, your request will be denied. Be specific: "add X ...
Acquiescence is sometimes referred to as "yea-saying" and is the tendency of a respondent to agree with a statement when in doubt. Questions affected by acquiescence bias take the following format: a stimulus in the form of a statement is presented, followed by 'agree/disagree,' 'yes/no' or 'true/false' response options.
In survey research, response rate, also known as completion rate or return rate, is the number of people who answered the survey divided by the number of people in the sample. It is usually expressed in the form of a percentage. The term is also used in direct marketing to refer to the number of people who responded to an offer.