Research Methods Flashcards
IV and DV
IV- Variable that is changed to see if it affects the DV
DV - The variable that is being measured by the researcher
effect on the Dv causes change in IV
Aims + Hypothesis
Aim- General statement of what the researcher intends to investigate / purpose
Hypothesis - Statement made at start of study describes relationship between variables.
Directional and non directional hypothesis
Directional - researcher states clear difference that is anticipated between the two conditions
Non directional - states there is a difference but the nature of the difference isn’t specified
Hypothesis used
Directional - Theory or findings of previous research suggest a particular outcome
Non directional - When no previous research is conducted or findings are contradictory
operationalisation
Operationalisation - Defining variables clearly in terms of how they can be measured
Extraneous variables and confounding variables
Extraneous - An variable other than the IV and DV that could affect the results
Confounding variables - systematically change with the IV, unexpected that makes it harder to define whether the results are due to one factor or another
Demand characteristics and investigator effects
Demand - occur when the participant tries to make sense of the research and act accordingly to support the aim of research. Can cause change in behaviour making it unnatural.
Investigator - Any unwanted influence of the investigator on the research outcome
Randomisation / Standardisation / Participant reactivity
Participant reactivity - when behaviours and reactions are impacted by the participants knowledge they are part of a study
Randomisation - chance methods to reduce researchers unconscious bias when designing a study
Standardisation - All participants should be subject to the same environment, information and experience,standardised instructions that are read to each participant.
Types of experiments
Target population and sample
Target population - large group of individuals that a researcher is interested in studying
Sample - smaller group of target population that needs to be respresentative of the target population so it can be generalised.
random sample
All members of the target population have an equal chance of being selected
Random sample - list of target population, all names assigned number, generated using lottery method
+Free from researcher bias
- May end up with unrepresentative sample
- Difficult and time consuming
Systematic sample
When every nth member of the target population is selected
Sampling frame and sampling system created
+Avoids researcher bias
+ Fairly representative
Stratified sample
sample reflects the proportions of people in certain sub groups (strata)within the population
researcher identifies different strata, proportions worked out, then selected using random sampling
- Doesn’t represent differences, not complete representation
+ Avoids researcher bias
+ Representative sample
opportunity sample
select anyone who happens to be willing and available for the study
+ Less costly and time consuming
- Researcher bias
-unrepresentative of target population
Volunteer sample
Participants selecting themselves to be part of the sample.
+less time consuming than other forms of sampling
- Volunteer bias - attract a certain type of person