Research Methods Flashcards
What is a research hypothesis?
- clear statement
- predicting how changes in IV will affect DV
- clearly states population researcher intends to draw conclusions
What is the Independent Variable?
- deliberately manipulated or varied by experimenter.
- The IV is the factor controlled by the research.
What is the dependent variable?
- factor that is measured by the research.
- The DV is affected by the IV.
What are Extraneous Variables?
- uncontrolled factors that can affect the DV.
What are Confounding Variables?
- variables other than the IV that has a systematic effect on the value of the DV.
What is a population?
- the group of people we wish to draw conclusions about.
What is a sample?
- small number of individuals from the population
- representative of the population.
What is Representative samples: Random sampling
- A sample procedure
- every member of the population has an equal chance of being selected.
What is representative sampling: Stratified sampling?
- dividing the population into subgroups
- then selecting a sample from the subgroup
- to be truly representative of the population.
What is a Null hypothesis?
- A statement that the IV will have no effect on the DV.
- Researcher aims to reject this.
What is the Experimental group?
- the group of participants which is exposed to the independent variable.
- results are compared with the C group
- so the effects of the IV can be determined.
What is the control group?
- the group in research not presented with the IV.
- C group used as a basis for the comparison with the E group.
What is the experimental design, Repeated measures?
Where all participants are apart of both the experiment and control group.
What are advantages and disadvantages of Repeated measures experimental design?
Adv.
- participant variables are controlled
- by having less participants than other designs it is more economical.
Dis.
- articulated may perform better the second time because of practice or do worse because of fatigue or boredom
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Operationalization
- Stated how the variable is measured
- eg. Age: age in total months
Controlled variable
-potential effects of an extraneous variable are removed from experiment
Convenience sample
- using any person ‘conveniently’ available as part of the sample
- biased and findings unreliable
Representative samples
- samples represent the population
- conclusions from research on samples can be generalized to wider population
- two procedures: random sampling and stratified random sampling
Participant allocation- Random allocation
- all participants who have been selected for experiment must have equal chance of being in E-group or C-group
Experimental design - Matched participants
- subject selection procedure
- attempts to eliminate confounding variable by matching on key characteristics each individual in the e-group with an individual from the control group