1dependent variable
The experimental factor that is manipulated
the thing that is measured
2One-tailed hypothesis (directional)
Two tailed hypotheses (non directional)
Predicts a specific direction of results
does not predict a specific direction
a general statement that no things affect each other
3Null hypotheses
Predicts a specific direction of results
does not predict a specific direction
a general statement that no things affect each other
4extraneous variable
In an experiment, a variable other than the IV that might cause unwanted changes in the DV.
Order effects, demand characteristics, investigator's effect
Situational variables
5Participant variable
Noise, temperature, light
AGe, Gender, attitude, mood
6Controlling Extraneous Variables
randomization, standard procedure, single blind, counterbalancing, double blind
7Lab experiment
An experiment that takes place in a controlled environment where the researcher manipulates the IV and records the effect on the DV while maintaining strict control of extraneous variables.
8Strengths of lab experiments
- control extraneous variables- this creates high internal validity - easier to establish causal relationships
- you can replicate - increases reliability
9Weakness of lab experiment
-Less life like - Low ecological validity - cant be generlised
-Unnatural response - High demand characteristics
10field experiment
an experiment conducted in the participants' natural environment. IV is manipulated and DV measured
11Strengths of field experiments
Behaviour in a field experiment is more likely to reflect real life because of its natural setting - higher ecological validity
Less likelihood of demand characteristics affecting the results, as participants may not know they are being studied - covert.
12Weaknesses of field experiments
There is less control over extraneous variables that might affect the DV - difficult to establish causal relationship
Replication is difficult - the same conditions can not be recreated - decreasing reliability
13natural experiment
An experiment conducted in a natural environment, IV manipulated by the nature
14S/W of natural experiment
S -Iv is naturally occuring - high ecological validity
No demand characterisitcs - natural environment
W- Cannot control the extraneous variable might affect the DV
Difficult to replicate
Difficult to infer cause and effect
15Experimental designs
Independent groups
Repeated measures
Matched pairs
16Independent groups
Participants are randomly allocated to one condition of the IV. One group undergoes one condition and the other group undergoes another
17S&W: independent groups
S - No order effects, no demand characterisitcs
W - cannot control partcipants variable, double the amount of Ps needed than repeated measure
18Repeated measures
Ps take part in both conditions
19S/W of repeated measures
S- half the no. of Ps needed, redecued Partipant variables
W - Order effects, demand characterisitics
20Matched pairs
Ps matched based on characterisitcs, then each P is allocated to one of the conditions of the IV
21S/W of matched pairs
S - No order effects, reduced demand characterisitcs
W - TIme consuming match Ps, Difficult to reduce all P variables
22Reliability
consistency of measurement
23internal validity
the extent to which the results of a study can be generalized to other situations and to other people
24external validity
extent to which we can generalize findings to real-world settings
25Subjective vs objective
Statements based on personal feelings and/or experiences
statement based on facts, not debatable
Qualitative data
26Quantitative data
descriptive data, rich in detail (interview answers)
numerical data
27S/W of qualitative data
S -allows respondants to explain their answers
W- cannot cross compare with other respondants
28S/W of quantitative
S - present graphs, calculate mean, median, mode, helps draw conclusions
W- does not explain answers
Primary data
29Secondary
data collected by the psychologuist for their own research
Data initially collected by someone else and the psychologist uses for their own purpose
30Correlation designs
Studies that measure two or more variables and their relationship to one another; they are not designed to show causation
31S of correlation designs
S- allows to see if two variables are linked, may prompt further investigation too look for causation using experimental method
Useful when it is unethical or impractical to recreate certain conditions
32W of correlation designs
W - do not tell us how the variable are related, we dont know what causes it
there may be intervening variables - no control of EV
33Case studies
in-depth investigation into an individual or a small group od people
34Strengths of case studies
Provides detailed (rich qualitative) information.
Provides insight for further research.
Permitting investigation of otherwise impractical (or unethical) situations.
COnducted over years - see change in behaviour
35Weaknesses of case studies
-Not a generalisable sample
-Researchers have very little control over variables
-Difficult to establish causal relationships
- Biased - interpreted by researcher
- approval from ethics committee (timely, costly)
36Observational designs
Participants/non particpant/overt/covert
37S/W of observational designs
S -+Obtain true and accurate picture of natural behaviour (high external validity)
W - Difficult to distinguish whether one factor affects the other
-Time consuming and needs constant attention
-Ethical issues as they cannot give informed consent
-Observer bias
-Hard to replicate
38Questionaires
A self report data collection instrument that is filled out by research participants
39types of qs
Closed questions/open questionsraded questions
40Interview
Structurednstructured
41Ethic guidlines
Informed consent
Deception
Right to withdraw
Protection from harm
Debriefing
Confidentiality
Privacy
42Sampling methods
- Random- Opportunity- Volunteer - Stratified
43Graphs and distribution
Scatter graphs - relationship between two co variables
Histograms - represent continous data, no gaps between bars, show frequency
Bar charts - Show categorical data, has gaps
44normal distribution curve
the bell-shaped curve
Mean median mode are similar
data spread out evenly
45Negatively skewed distribution
Long tail extends to the left, most data is high
46Positively skewed distribution
Mean, median not similar, long tail extends to the right, most data is low