Nominal
Classifies variables into categories Way to measure age: young, old Least amount of information Sex, Male/Female Qualitative
Ordinal
Classifies variables into ranked categories
Ways to measure age: infant, toddler, child, teen, adult, senior.
Ways to measure comm. competence: high competence, medium competence, low competence
Qualitative
Interval
Classifies and ranks, and establishes standard, equal distances between variables
Ways to measure age: 1-10 years, 11-20 years, 21-30 years, etc.
Quantitative
Fahrenheit scale, distance between 17 & 18 is the same as that between 89 & 90.
Ratio
Classfies and ranks, and establishes standard, equal distances between variables, with a true zero where variable ceases to exist
Quantitative
Specific age, aka 20
4 Primary Ethical Guidelines for the treatment of research participants
Does every research study intrude on the life of people?
Yes. Could be through reflection (marital satisfaction, childhood trauma, memories)
IRB:
Oversee research at the university level
-Review all research proposals involving human participants, main goal is to ensure that the risks faced by human participants in research are minimal
Sample
Special subset (small portion snapshot) of population observed to make inferences on general behavior
Goal of sampling?
2. Minimize sampling errors (though every study contains error)
Representative Sample
Same distribution of characteristics as the population from which it was selected, characteristics closely matched so you can generalize, so random sample
Bias Sample
Those selected are not typical or representative of the larger populations, chosen for specific reasons, so cannot generalize, so non-random sample
Random Sampling
Relatively few observations and generalize to a much wider population, everyone has an equal change of being selected (names being drawn out of a hat)
-Probability sampling
Non-random Sampling
Lets us control the likelihood of specific individuals being selected for study, participants intentionally picked, and not everyone has an equal change (TA selection)
-Non-probability selection
Non-probability (non-random) Sampling Types
Probability (Random) Sampling Types
Considerations for probability or non-probability
*More homogeneous the population is, the more representative the sample will be
True
Measurement
Careful deliberate observations for the purpose of describing objects and events in terms of the attributes composing a variable
Ethics
Professional standards that guide the research procedures acceptable for studying human beings, conforming to the standards of conduct of a given profession or group
Survey Research vs. Survey questionnaire
Survey research is operationalizing variables by asking people structured questions 1.) development of a questionnaire or survey 2.) selection of a sample of respondents 3.) administration of the questionnaire through any of several modes
A survey questionnaire is just a method
Why are surveys popular?
Question Types
Contingency/Filter Questions
Filter: (are you a comm major?)
Contingency: If yes, answer q. 1-37
Survey Response Types