Last minute unknown RM - Flashcards
Difference between interview techniques -
S - Questions are decided in advance (may be open or closed), most likely to be quantitative data.
SS - Some questions may be prepared before, based on these answers they may allow the adoption of new answers
US - No questions are prepared in advance, each questions tends to happen of the previous response most likely qualitative data
Questionnaires -
Asks a series of questions to collect info about topics or a topic
Always structures with questions
It allows a permit of what the individual feels instead of guessing.
Self report techniques in general and of all 3 pros and cons -
Allow access of people thinking and thoughts
May not be truthful and the idea of social desirability bias (answer questions which makes them look better)
A strength of Q and SI is that they are both reusable as they are both standardised
A problem with them is interviewee bias where their expectations may influence the answers of the individual
Questionnaire construction -
Clarity - needs to be written so that the individual understands what is being asked and what is expected of the participants
Bias - as in a leading question. The question should not lead an individual to believe that there question is hinting at something.
Analysis - questions need to be written so that they are easily readable and accessible.
Other considerations -
Sample - how to select respondents and reduce bias but have a range of characteristics
Pilot study - Tested on a small group prior to the original test to see whether anything needs changing.
Design of an interview -
May take notes during the process but interfere with listening, mainly discuss what was considered in a questionnaire.
Correlations -
Systematic association between two continuous variables.
Can be positive/negative May be curvilinear begins as positive but goes negative. No correlation = null hypothesis
When conducting a study a correlational hypothesis is needed which states what the expected association is between the 2 co-variables.
Scattergrams are used to illustrate a correlation, the more linear data the more strongly the correlation is. The co variables determine the x and y position.
Correlation coefficient - number between -1 and +1 which tell us how the co-variables are associated with each other.
A problem with the understanding of the correlation is there may be intervening variables -which comes between the 2 variables which cause them to explain the association between the correlation.
Falsifiability -
Being able to prove a hypothesis wrong in order for a theory to be considered scientific.
Paradigm -
A general law that is accepted by the majority of others, a paradigm shift occurs when there is evidence of the paradigm being less accurate.
Reliability can be measured by?
Inter-rater reliability - two or more observers the same experience and record the data. The data is compared. A positive relationship suggests there is inter-rater reliability. 0.8 + (Reliability = the consistency of the measuring instrument).
Test-retest - The same participants complete the test on two or more separate occasions. Where a positive test between the first two highlight consistency.
Validity can be measured by?
Face or content validity - extent to which the test items look like they intend to measure what they claim to measure.
Psychological investigations - order
Abstract, intro, method, results, discussion, references.
Aim summary -
- Aim
- Key research the study its based on
- experimental/alternative hypothesis
- Brief details of the method
- Statistical conclusion
- Whether the null hypothesis can be rejected.
Introduction summary -
Literature review of research studies, statements of the aim, experimental/null hypothesis.
Method section -
Design, IV and DV, number if pp, details of material and the use.
The role of peer review -
Assessment of scientific work by others who are in the same expert field, the purpose of this is to allow correctly published research.
Critics - finding an expert isn’t always available, this means poor research may be passed as it wasn’t generally understood.
Publication bias - tend to publish positive results, tends to lead to bias and misperception of true facts.