Research Methods Flashcards
IV and DV + hypothesis and operationalisation
Independent Variable - what you change or manipulate
Dependent Variable - measures the effect of the change of the IV
In a hypothesis, the DV will come first then the IV , for example:
- There will be a difference in how long it takes to do a puzzle (DV) when participants have drunk some alcohol(IV)
Null Hypothesis- No difference
Experimental Hypothesis - predicts a significant difference or the IV effects DV
Directional Hypothesis - predicts a direction of the difference
Non-directional - doesn’t predict the direction but states a difference
Variables effecting research + standardisation
Extraneous Variable - any variable other than the IV that may influence the DV
- Two main extraneous variables are:
Situational Variables - any aspect of the situation that can influence Ps behaviour
Participant Variables - any trait of a P that could effect the results (better in a certain field)
Confounding Variables - a variable that DOES effect the IV
Demand Characteristics - any area of the study that gives the answer or aim up, meaning Ps change their behaviour and act unnaturally
Investigator effect - influence of the investigator such as leading questions
Experimental Designs + Justification (AO3)
Repeated Measures
Independent Groups
Matched Pairs
Experimental Methods
Lab - aim to establish cause and effect
The researcher manipulates the IV to see the effect on the DV , in a controlled environment w/ standardised procedures
Field - researcher manipulates the IV ti see the effect on DV , aim to establish cause and effect BUT are done in Real Life Settings
Natural - takes place in naturally occurring events, The IV is changed by a Natural Occurrence
Quasi - IV is an already existing difference (gender)
Sampling Methods
Target Population = “TP”
Random - every member of TP has an equal chance of being selected
Opportunity - selecting people willing to participate at the time of the research
Volunteer - people put themselves forward to participate
Systematic - when every nth member of TP gets selected
Stratified - researcher divides TP into sub-populations to make sure all sub-groups are represented
Features of Science
- Theory Construction
- Hypothesis Testing
- Objectivity
- Replicability
- Falsifiablity
- Paradigm
Ways the test reliability
Test Retest - Ps are given a questionnaire/test a week later, the results are then correlated to identify if they have given similar responses
- if a correlation is of 0.8 it is reliable
How to assess Validity and Reliablity
Concurrent Validity - when yuh compare your results with an established measure (proven to be valid)
Test Retest - giving Ps a test to complete after the fact, then giving the same task on a later occasion
The results are correlated to see if they give similar results (a correlation of 0.8 or abov is reliable)
Outline Thematic Analysis and Content Analysis
Content : covert qualitative data to quantitative data
Categorise information
Make Tallies of how many times you see the coding units
Thematic - a way of summarising qualitative data
Immerse self in data
Identify features of the data
Generate themes
Summarise data in themes