- What are the 5 qualitative approaches?
- What kind of variable is blood type?
- Are questionnaires qualitative or quantitative?
- Are closed ended questions qualitative or quantitative?
- Why are closed ended questions bad?
- What are 3 types of variables?
- What type of variable is yes or no?
- Is a questionnaire a qualitative?
- What are the 4 main questionnaire categories?
- What type of variable is money?
- Are yes or no questions categorical or quantitative?
- What type of data is yes or no questions?
- What data type is age?
- What are 3 examples of qualitative data?
- Why is quantitative better than qualitative?
What are the 5 qualitative approaches?
A popular and helpful categorization separate qualitative methods into five groups: ethnography, narrative, phenomenological, grounded theory, and case study.
John Creswell outlines these five methods in Qualitative Inquiry and Research Design..
What kind of variable is blood type?
First, we discuss the main groups of variables: categorical variables and continuous variables….Nominal variables.Question:What is your blood type?Answer:I have blood type A (or B, AB, O, etc.)Nominal variable:Blood typeCategory:A, B, AB, O, etc.
Are questionnaires qualitative or quantitative?
For example, a rating scale or closed questions on a questionnaire would generate quantitative data as these produce either numerical data or data that can be put into categories (e.g., “yes,” “no” answers).
Are closed ended questions qualitative or quantitative?
Instead, open-ended questions are used in qualitative research (see the video above for more information) and closed-ended questions are used in quantitative research.
Why are closed ended questions bad?
Closed-ended question disadvantages: Respondents can be frustrated because their desired answer is not a choice. … Misinterpretation of a question can go unnoticed. Distinctions between respondent answers may be blurred. Clerical mistakes or marking the wrong response is possible.
What are 3 types of variables?
A variable is any factor, trait, or condition that can exist in differing amounts or types. An experiment usually has three kinds of variables: independent, dependent, and controlled. The independent variable is the one that is changed by the scientist.
What type of variable is yes or no?
Binary Variables A simple version of a categorical variable is called a binary variable. This type of variable lists two distinct, mutually exclusive choices. True-or-false and yes-or-no questions are examples of binary variables.
Is a questionnaire a qualitative?
Questionnaires can be thought of as a kind of written interview. … Often a questionnaire uses both open and closed questions to collect data. This is beneficial as it means both quantitative and qualitative data can be obtained.
What are the 4 main questionnaire categories?
Another key ingredient to a successful survey is knowing which type of question to use. While there isn’t an official book of survey questions or survey taxonomy, I find it helpful to break down survey questions into four classes: open-ended, closed-ended (static), closed-ended (dynamic), and task-based.
What type of variable is money?
Numeric variableMoney. A Numeric variable where the values represent a currency. Treated the same as numeric data except that in some situations the currency symbol is displayed.
Are yes or no questions categorical or quantitative?
Another instance of categorical variables is answers to yes and no questions.
What type of data is yes or no questions?
Categorical data can take on numerical values (such as “1” indicating male and “2” indicating female), but those numbers don’t have mathematical meaning. You couldn’t add them together, for example. (Other names for categorical data are qualitative data, or Yes/No data.)
What data type is age?
Mondal suggests that age can be viewed as a discrete variable because it is commonly expressed as an integer in units of years with no decimal to indicate days and presumably, hours, minutes, and seconds.
What are 3 examples of qualitative data?
Examples of Qualitative Data The colors red, black, black, green, and gray are qualitative data.
Why is quantitative better than qualitative?
Simply put, quantitative data gets you the numbers to prove the broad general points of your research. Qualitative data brings you the details and the depth to understand their full implications. To get the best results from these methods in your surveys, it’s important that you understand the differences between them.