Resersch Methods Flashcards
What is an aim
What the researcher intends to investigate
What is a hypothesis
A statement that the researcher believes to be true
Can be directional- changed are stated
Non- directional- doesn’t state direction
What is an experimental method
Researcher cause the IV to change and record the effect of the IV on the DV
Blind studies
Single blind- participants don’t know aims
Double blind- participants and researcher don’t know aims
Experimental methods
Independent groups- 1 condition each
Repeated measures- Do all conditions
Matched pairs- matched on variable
Types of experiment
Lab- controlled environment
Field- natural setting but IV is manipulated
Natural- no manipulation of IV, would have varied anyway
Quasi- IV based on pre existing differences so cannot randomly allocate
Sampling methods
Opportunity- those available and willing
Volunteer- participants select themselves
Random- everyone in the target population has a chance of being selected
Systematic- selected using a pattern
Stratified- representative of target population
Ethical issues
D- deception
R- right to withdraw
I- informed consent
P- protect from harm
P- privacy and confidentiality
Types of correlation
Positive
Negative
Zero
Evaluation of correlation
+ useful starting point for research
+ less time consuming than experiments
- no cause and effect
- methods used to measure variables may be flawed
Observational techniques
Naturalistic- takes place in normal setting .
Controlled- control of variables
Covert- don’t know being studied
Overt- know being studied
Participant- researcher become part of the group they are studying
Non participant- researcher remain separate from group
Observational designs
Behavioural categories- target behaviour should be broken up into observable categories
Time sampling- observations made at regular intervals
Event sampling- behaviours recorded every time they occur
Self report techniques
Questionnaires- preset list of written questions to which a participant responds
interviews- interactions between interviewer and interviewee
Design of questionaries
Closed questions- respondent has limited choices ( yes or no questions)
Open questions- respondent provides answers in words
Types of data
Quantitative- numerical data
Qualitative- non numerical data
Primary data- first hand collected data expressed in words
Secondary data- collected by someone other than the researcher e.g taken from journal articles
Meta analysis- a types of secondary data that combines data from a large number of studies
Measures of central tendency’s
Mean
Mode
Median
Measures of dispersion
Range
Standard deviation- the average spread around the mean, the larger the standard deviation then more spread out the data are
Representation of quantitative data
Tables- raw scores displayed in columns and rows
Bar charts- height of each column represents the frequency of that item
Histogram- bars touch each other
Line graph- the line shows how something changes
Scattergram- used for correlational analysis, dots
Distributions
Normal distribution- symmetrical bell shaped curve
Mean median and mode at mid point of curve
Negative skew- most distribution concentrated to right of graph
Positive skew- most of distribution concentrated to left of graph