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Set for EDU513 Educational Research.
Terms in this set (46)
defining terms by thier use. "What do you mean by that"? Using terms as they will measure your question, or how it is used in your research.
Hypothesis + Proposal
Samples, research design, and procedure.
Who your subjects are and how you get them.
Methods of testing subjects; Tests, Observation, Survey, Interview, Physical records
Comparison of groups to minimize variables and using controls.
Described processes that can be repeated accurately.
Introduction, Method, Data Analysis, Action
Different values, types, presence or absence.
Characteristics with one value.
"Depends" on the independent variable. Characteristic who's value changes based on the independent variable. Also known as the "Outcome variable".
"Cause" - the experimental factor that is manipulated; the variable whose effect is being studied. Sometimes called "Treatment or Experimental variable".
Independent variable in a prediction question.
The variable in research that is 'what you are predicting'.
Characteristic that modifies the influence of the first variable (context, gender, environment, ethnicity, etc.)
Independent variables 'characteristics' that you have not controlled; effect and explain results.
A testable prediction or action you feel will happen in your research.
Valid Hypothesis Criteria
Includes; Subjects, Treatments, Measures Used, and Expected Outcomes.
Specifying a change to a group or individual as a result of the study.
Only specifies change, but not to whom or how much.
#1 Ethical Research Principle
be told what is going on, agree to it, show why you are doing the study, permission, etc.
Right to Withdraw
Give people the option to discontinue research
Have the right to not-participate in parts of the study.
Protection of data and results - ensuring they are not shared with others.
People have the right to know their own results from the study.
Subjects of your research, who you are researching, gaining a representative group of individuals you wish to test.
same number, characteristics and proportions of the larger group.
+ totally random, easy to get people
- not usually representative of the whole, may need to increase numbers to get representative sample.
Stratified Random Sample
Sets of individuals from your targeted population.
+ Smaller sample size, greater accuracy
- Access to strat data is difficult. Requires prior knowledge which may be expensive to obtain.
Selecting groups that are existing or preset.
- large sample size, less accuracy.
Correctness, appropriate-ness, meaningful-ness of data.
Consistency of measurement in one instrument at a time.
'every 10th customer', etc.
Whoever is around to test.
Deliberately choosing participants - creates bias.
At least 15 per group depending on characteristics, need to be able to generalize the data to the larger grouop for validity.
Having enough of what you want to measure.
Measuring the right characteristics. teaching correct methods, skill level appropriate, etc.
measuring what you want and not what you dont want.
Person is consistent at one instrument at a time.Shows internal abilities on one test, falsely shows high reliability - without grounds.
Standard Error of Measurement
People vary from form or over time...need to account for change. Smaller SEM = greater reliability. Greater SEM = lower reliability.
a measure of evaluating accuracy of scores
Ubiquitous measure type - AP, Apptitude, Personality, MMPI2.
Levels of measurement and scoring
data collection method that involves no intrusion.
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