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
Significance
The difference between the two sets is greater than what would have occurred by chance
Significance level
0.05
What do we need to know to find the critical value
The significance level
Number of participants
Whether the hypothesis is direction or non- directional
Sign test calculations
Find number of + and -
S is the least frequent sign
S< critical value
What is peer review
Before publication, all aspects of the investigation are scrutinized by experts