Types of Observation
Naturalistic- Watching, recording behaviour normal setting would usually occur in this setting
Controlled- Watching, recording structured environment some variables are controlled
Covert- Behaviour watched, recorded without knowledge/ consent
Overt- Watched, recorded with participants knowledge / consent
Participant- Researcher becomes member of group watch, record
Non-Participant- Remains outside group watch record
Variables
Independent Variable (IV)- Manipulated by researcher
Dependent Variable (DV)- Should be caused by IV, measured
Operationalisation- Makes IV, DV usable, testable
IV- condition 1 condition 2 DV- Amount of… Number of…
Extraneous Variables- Potentially effect DV if not controlled, for example Ppt is in a chilly room
Confounding Variable- Variable affecting DV, unsure what has caused changes to DV, for example Drowning caused by eating Ice Cream Temperature in Summer Confounding
Pilot Studies
Definition- Small scale version of study that takes place before the real study, fewer participants, checks for problems that are corrected for real thing
Aims- Questions / Interviews checked for issues so that they can be rewritten if needed. Observations check behavioural categories. Experiments design, procedure, instructions, materials checked
Real study should be a modified version which should save time and money in the long run
Types of Sampling
Population is the large group of individuals that a researchers is interested in studying
A sample is a smaller group that represents the target population that the researcher wants to study
Sampling techniques aims to produce a representative sample that is less prone to bias making results more generalisable to the population that the sample represents
Random Sampling- Assign each person a number on a piece of paper, draw out of a hat
Systematic Sampling- Every nth member of population selected, get list of people pick every nth person
Opportunity Sampling- Select people available at the time, students in canteen
Volunteer Sampling- Self-selected participants, notified through adverts, newspaper
Stratified Sampling- Sample reflects proportion of the people in population. Identify group, workout proportion, select participants needed
Sampling Advantages and Disadvantages
Random Sampling- Unbiased but difficult / time consuming. Requires a complete list of population and cannot be repeated equal chances
Systematic Sampling- No influence over who is chosen but time consuming and requires a list, person may also refuse to take part
Opportunity Sampling- Less costly but unrepresentative (only one area), cannot be generalised, Researcher Bias, too much control
Volunteer Sampling- Easy, no researcher input, volunteer bias, demand characteristics
Stratified Sampling- Reflects population, generalised, can never be a perfect representation, differences in participants in groups not taken into account
Types of Experiments
Lab Experiment- Controlled Environment, Control of extraneous variables, Researcher manipulates IV, Records effect on DV. For example, Shoe lace experiment
Field Experiment- Natural setting, less control, less control of extraneous variables, Researcher manipulates IV, Records effect on DV. For example, Lift Experiment
Natural Experiment- IV naturally occurring, No control of extraneous variables, Records effect on DV. For example, Hair length
Quasi Experiment- IV not determined by anyone; Variables already exist. For example, Age, Personality, Type
Experimental Designs
Experimental design is the different ways in which ppts can be organised in relation to the experimental conditions
Repeated Measures Design- All participants experience all conditions. Counterbalancing attempts to control for order effects, Half do A->B Half do B->A. For Example, Hazard video with caffeine pill, without caffeine pill vice versa
Independent Groups Design- Participants experience one condition, avoids practice effects, Differences in people may affect results, more people needed, assign participants randomly, ensure similar groups as well as equal chance to be in any of the conditions (reduce participant variables)
Matched Pairs Design- Pairs of participants matched in variables affecting DV (age, gender), One of each pair randomly chosen to do each condition, very difficult to obtain match pairs, time consuming and difficult
Quantitative and Qualitative Data
Quantitative data- Numerical data number of…
Strengths- Can draw graphs, calculate averages
Weakness- Lower external validity
Qualitative data- Expressed in words written description
Strengths- More meaningful, Higher external validity, broader scope
Weakness- Harder to identify patterns, comparison, subjective to interpretation, researcher bias
Both can be obtained from questionnaires, interviews, observational studies etc
Observation Design
Behavioural Categories- Behaviour operationalised into observable, measurable components. For example, affection (emotion) would be operationalised to Kissing, hugging (Observable action)
Sampling behaviour- Event Sampling and Time Sampling used, easier than continuous observation
Event Sampling- Counting how many times a behaviour occurs “Laughed 6 times”
Time sampling- Recording behaviour in particular time frame “5 minutes”
Interviews
Interviews- Can be structured or unstructured
Structured- Made up of pre-determined set of questions. Conducted face to face
Advantages- Straight forward to replicate, reduce interviewer differences
Disadvantages- Limited richness of data, unexpected info received
Unstructured- No set questions, interaction free flowing, expand elaborate answers
Advantages- More flexible and allows for follow up points
Disadvantages- Interviewer bias, interviewee may lie (social desirability bias)
Questionnaires < Interviews- Less Demand Characteristics, More information can be obtained
Questionnaires
Questionnaires- Self-report technique, pre et list of written questions, researcher assesses responses given
Open Questions- Does not have fixed answer, Qualitative data
Closed Questions- Fixed number of responses, Quantitative data
Advantages- Cost effective, large amounts of data quickly, researcher not required to be present, straight forward to analyse
Disadvantages- Responses may not be truthful, Demand Characteristics
Questionnaires > Interviews- Cost effective, no researcher needed
Primary and Secondary Data
Primary Data- Original data collected by researcher through experiment, questionnaire, observation
Strengths- Extract only data needed, Relevant to research aims
Weakness- Takes time, expensive, secondary accessed faster
Secondary Data- Collected by someone other than researcher such as Government statistics
Strengths- Desired info already exists, minimal effort, inexpensive
Weakness- Info may be outdated, incomplete, challenges validity of any conclusions
Peer Review
Definition- Before publication, all aspects of investigation scrutinized by experts in the field. Objective, unknown to researcher
Aims- Allocate research funding, Validation of quality and relevance of research, Improvements and amendments suggested Reviewers unpaid, single-blind
Advantages- Minimises possibility of fraudulent research, published research of highest quality (protected), increases credibility and status of psychology
Disadvantages- Competition for limited research funding, Publication bias (headline grabbing more favourable), Ground breaking research could be buried if goes against reviewers view, anonymity used to criticise rival research
Case Studies
Case Study- In depth investigation of a single individual, group or institution
Strengths- Offers rich detailed insights, gives better idea of unusual behaviour, may generate hypothesis for future study, contribute to understanding of typical functioning
Weaknesses- Generalisation difficult small sample size, Information subjective to researcher, Personal accounts from ppt prone to inaccuracy If childhood story told, lower validity
Correlations
Correlation- Relationship between co variables
+ve- As one increases other increases -ve- As one increases other decreases none- no relationship
Directional – There will be a positive / negative correlation between scores on a happiness questionnaire and scores on a health questionnaire
Non-Directional – There will be a correlation between scores on a happiness questionnaire and scores on a health questionnaire
Hypotheses
Independent and dependent variables
Operationalisation of variables
Research issues
Tackling research issues
Ethical issues
Single-blind and double-blind procedures
Structured vs unstructured observation
Behavioural categories