Other Stuff Flashcards
Operationalise
How the Rschr will actually test what they are trying to test. They need to find a scientific and measurable way of testing the IV and measuring the DV and give a precise definition of the bhvr being observed.
Qualitative data
Information gathered based on opinions thoughts and feelings of ppts, no numbers are gathered, just subjective info
Qualitative data strength
In depth detailed info about ppts is gained which reduces the chance of the Rschr interpreting bhvr in the wrong way
Qualitative data weakness
Very difficult to analyse due to no numerical info being gathered. Results are not nomothetic so cannot be generalised.
Quantitative data
Results are based on numerical values. Data is objective due to thoughts feelings and opinions of ppts not being asked for
Quantitative data strength
Easy to analyse due to numerical values being used that can be calculated and placed into categories. Results are nomothetic so can be generalised.
Quantitative data weakness
Due to objectivity no subjective info from ppts can be gathered which could lead to Rschr bias.
Investigator effects
When Rschr asks a question in a certain way to get a response they want
Rschr bias
Rschr interprets or makes up wrong results to agree with their hypothesis
Significance level of 0.05
There is a 5% probability that results are due to chance and 95% probability that results are true
Observed value
Results you get once you’ve calculated your statistical test
Critical value
The value that a test statistic (observed value) must reach in order for the null hypothesis to be rejected.
Aims
A statement of what the Rschr intends to find out in a rsch study
Closed question
Questions with a range of answers from which respondents select one; produces quantitative data. Answers are easier to analyse than those from closed question.
Open question
A question that invites respondents to give their own answer rather than select an answer from those provided. Tends to produce quanlitative data.
Cost-benefit analysis
A comparison between costs of something and related benefits, in order to decide the course of action. If costs are too great or the benefit is too small no action will be taken.
Co-variable
A variable in a correlation analysis that is believed to vary systematically with another co-variable
Debriefing
A post-rsch interview or questionnaire designed to inform the ppts of the true nature of the study and to restore them to the same state they were in at the start of the study. It can also gain useful feedback about procedures used in the study.
IV
The variable manipulated by the Rschr to see its effect on the dependent variable
Dependent variable
A measurable outcome of the action of the IV in an exp
Demand characteristics
A cue that makes ppt aware of what the Rschr wants to find or how ppts are expected to bhv. These can change an outcome of a study bc ppts may change their bhvr to conform to the expectations. This may act as a confounding variable.
Double blind technique
Neither the ppt nor the experimenter dealing with ppts is aware of the rsch aims and other important details thus have no expectations
Control condition/group
The condition (in a repeated measures design) or group (in an independent groups design) that provides a baseline measure of bhvr without the experimental treatment (IV) so the effect of the experimental treatment can be assessed.
Cohort effect
A group of ppts That has unique characteristics Bc of time-specific experiences during their development such as growing up during World War Two
Event sampling
An observational technique in which count is kept of the number of a certain bhvr/event occurs
Experimenter bias
The effect the experimenters expectations have on the ppts and therefore the results of the rsch
Experimenter effect
Anything the experimenter does that has an effect on the ppts performance in a study other than what was expected.
Target population
The group of people the Rschr is interested in and will draw their sample from and try to generalise their findings to.
Correlation coefficient
A number between +1 and -1 that tells us how closely the covariables in a correlation analysis are related
Test retest
Used to check external validity. The same test/interview is given to the same ppts on two occasions to see if the same results are obtained
Split half method
Used to test internal reliability by comparing two halves of to example a psychological test to see if they produce the same score.