Research Methods Flashcards
(84 cards)
What are experimental methods ?
The manipulation of the independent variable to have an effect on the dependent variable, which is measured and stated in results
Either field, lab, quasi or natural
What is a hypothesis ?
Clearly states the relationship between the variables being investigated
What is an aim ?
A general statement made by the researcher tells us what they plan on investigating
Purpose of their study
What are the different types of hypothesis ?
Directional - states the direction of the relationship that will be shown between the variables, used when there has been a range of research carried out which relates to the aim, previous research would suggest a particular outcome
Non directional - does not state the direction of the relationship that will be shown between the variables, used when there has been no previous research carried out which relates to the studies aim, research is contradictory
What is the independent variable ?
Has been manipulated by the researcher or simply changes naturally to have an effect on the DV which is then measured
Properly test the effect of IV - the experimental condition and the control condition
What is the dependent variable ?
Dependent variable is measured by the researcher and has been caused by a change to the IV
Who do you operationalised variables ?
Researcher clearly defining the variables in terms of how they are being measured
variables should be defined and measured
What are extraneous variables ?
Any other variable which is not the IV that affects the DV and does not vary systematically with the IV
What are confounding variables ?
Any variable other than the IV that affects the DV, change systematically with the IV
Difficult for the researcher to be sure of the origin of the impact of the DV as the confounding variable could have been the cause
What are demand characteristics ?
Any cue the researcher or the research situation may give which makes the pts feel like they can guess the aim of the investigation
Cause pts to act differently than how they would usually act
Change their behaviour to fit the situation
Act in a way they think the researcher wants them to, may intentionally underperform to sabotage the study results
Affects validity of results
What is participant reactivity ?
Pts from the start of the experiment are trying to figure out what’s going on in the new situation they find themselves in
What is investigator effects ?
Participant reactivity can lead to investigator effects
Any unwanted influence from the researcher’s behaviour, either conscious or unconscious, on the DV
How do you minimise the effects of confounding and extraneous variables ?
Randomisation - use of chance to reduce the effects of bias from investigator effects
Standardisation - using the exact same formalised procedures and instructions for every single pts involved in the research process
Laboratory experiment
Special environment whereby different variables can be controlled
+ High degree of control
+ Replication
- Low ecological validity
Field experiment
natural environment, not in a lab but still with variables being well controlled
+ Naturalistic, high ecological validity
- Ethical considerations
- Loss of control
Quasi experiment
IV has not been determined by the researcher, instead it naturally exists
+Controlled conditions, replicable, high internal validity
- Cannot randomly allocate pts, confounding variables
Natural experiments
IV is not brought about by the researcher, would have happened even if the researcher had not been there
+High external validity
-Naturally occurring events, not replicable due to ethical issues
- Cannot be generalised due to being individual case studies
What is sampling ?
A small group of people from the target population
Opportunity sampling
Pts happen to be available at the time, recruited conveniently
+ Time saving, less costly
- Not representative
- Researcher bias, can controlled who they want to select
Random sampling
All members of the population have the same equal chances of being the one that is selected
A complete list of the target population is obtained
All names in the list are assigned a number
The sample is generated through the use of some lottery method
+ No researcher bias
- Pts may refuse to take part, volunteer sample
- Time consuming
Systematic sampling
Predetermined system whereby every nth member is selected from the sampling frame
Sampling frame is produced - a list of people in the target population
A sampling system is nominated or this interval may be determined randomly to reduce bias
Researcher works through sampling frame until the sample is complete
+ Avoids researcher bias
+ Fairly representative
Stratified sample
Reflects the proportions of people in certain sub groups within the population
Researcher identifies the different strata make up the population
Proportions needed for the sample to be representative are worked out
The pts make up each stratum are selected using random sampling
+ Avoids researcher bias
+ Representative as it accurately reflects the population
- Cannot reflect all the ways people are different
Volunteer sample
Involves pts selecting themselves to be part of a sample
+ easy to collect, less time consuming
- volunteer bias
- May affect a certain type of person, cannot be generalised
Independent groups design
Only perform in one condition of the IV
Two groups of pts in each condition
+ No order effects
+Demand characteristics eliminated
- Participant variables
Random allocation - ensures that each pts has the same chance of being in one condition or the IV as another