Objective and Subjective Measures

During the planning and construction of a test, questions typically arise regarding whether the researcher wants to obtain objective data, subjective data, or both. Objective measures are generally preferred, but can be very time consuming and costly. Subjective measures allow for natural observations of behavior and more detailed data, but can be difficult to code and interpret.
(1 1/2 full pages for each discussion question)
In your own words:
1)  Explain what objective and subjective tests questions are.
2)  Compare and contrast the use of both types of test questions according to the following for each:

a. Sources/types of measurement most commonly used
b. Situations in which you would use one type over the other or a combination of the two
c. Value of the data
d. Strengths and weaknesses related to scoring and interpreting the results
e. General limitations of each type. (Kindly highlight each category)

Discussion Question 2
Assessment Design Group Project: Multiple Choice Questionnaire
(1 1/2 full pages for each discussion question)
Discussion instructions:
1)  Construct a 5-6 question Multiple Choice Questionnaire that could be used to evaluate a student’s knowledge of a topic (for example, knowledge of tests and measurements, knowledge of internship or practicum requirements, knowledge of the difference between qualitative and quantitative research methods, knowledge of leadership skills, knowledge of APA format, etc.)

2)  In addition to the course textbook, use the Diem (2002), McCowan (1999) and Rice (2005) websites to assist in the development of your questionnaire. For each question, be sure to include a clear stem, one correct response choice and at least three foils or distractor response choices.

Articles/Sources Websites

Diem, K. G. (2002). A step-by-step guide to developing effective questionnaires and survey procedures for program evaluation & research. Available:http://njaes.rutgers.edu/pubs/publication.asp?pid=FS995

Derrington, M. L. (2009). A three step guide to developing effective surveys. Available: www.naesp.org/resources/2/Principal/2009/M-A_p46.pdf

Seibert, T. (2002). Designing surveys that count. Available: www.keene.edu/crc/forms/designingsurveysthatcount.pdf