Response to Sumaya Rashdan’ Post

According to your post, this week’s notes were so helpful to you. This week, you have learned a lot about data types, ratings, scales, and confounds you did not know about. I agree that the four main types are Ordinal, Nominal, Ratio, and Interval. An example of nominal is from our class notes concerning the U.S Census questions, which could also be the types of ethnicities. An example of ordinal from our class notes is the scales of opinion that could also include grades of assignments based on grading how good or not good the student did non the assignment. An Interval example from our class notes is temperature which gives the IQ number of the score of games, and lastly, a ratio example is age, height, and weight. According to your post, collecting data from subjects for a research study is the instrument in the study. I agree that its primary purpose is to collect data the right way. Some methods of collecting data include; oral surveys, administered non-written questions given to the participants; questionnaires, which are usually used to determine participants’ self-representation, perspectives, or reports. According to your post on the course skill notes sector, you have discussed validity, which indicates how sound someone’s research is. I agree that validity applies to the methods and design of a person’s research. The two types of validity shown in your post are internal and external. You would prefer to use an ordinal kind of data in your research. You would also like to collect data through interviews and to understand people’s perspectives and beliefs, and you prefer to use the Likert Scale.

References

Stryker, R. Types of Data You Can Collect HDEV 302: Research Methods in Human Development. Course Skills Notes for Week 11.