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Investigator effects
Any unwanted influence of the investigator on the outcome, perhaps through unconscious cues e.g smiling more at some behaviours that may be seen as expected by the investigator
How to overcome investigator effects
Use a blind approach
In an observation - use more than one observer and confirm that their observations match
In a questionnaire - ensure there are no leading questions
Observer effects
If people know they are being observed, they act less naturally and alter their behaviour if they know they are part of a study
How to overcome observer effects
Observation - conduct a covert observation so participants do not know they are being observed
Investigators also rely on ‘acclimatisation’ whereby participants forget over time that they are being watched so they revert back to natural behaviour
Demand characteristics
Participants try to work out what is going on, looking for cues to work out how to behave to guess the intentions of the experimenter
How to overcome demand characteristics
Questionnaire - could use filler questions which distract participant from true nature of the study
Observation - use a double blind procedure whereby both the participants and observer don’t know the aims of the investigation
Order effects
When the same people take part in multiple conditions, their experience in one condition can influence how they perform in the next
How to overcome order effects
Counterbalancing - half participants do condition A then B, while the other half do condition B then A
Evaluate independent groups
Strength - prevents order effects and / or demand characteristics
Limitation - individual differences may be more to do with the DV than the effects of the IV - can be resolved using random allocation
Limitation - It is less economical as each participant contributes a single result only
Evaluate repeated measures
Strength - Participant variables like individual differences are controlled and fewer participants are needed
Limitation - Order effects as each participant has to do at least 2 tasks
Limitation - Demand characteristics as participants experience all conditions of the experiment
Evaluate matched pairs
Strength - No order effects as each group only need to do experiment once
Limitation - participants can never be matched exactly on variables affecting the DV
Limitation - time consuming and expensive
What is a lab experiment
When the researcher manipulates the IV and control key extraneous variables
Evaluate a lab experiment
Strength - high internal validity as DV occurs because of IV, as experimenter controls any extraneous variables
Strength - easy to replicate as conditions are highly controlled
Limitation - If setting is too artificial, participants would behave differently from a real life situation, leads to low external validity (ecological)
Limitation - If tasks carried out don’t represent real life situations, it has low mundane realism
What is a field experiment
Takes place where behavior naturally occurs, IV is also manipulated
Evaluate a field experiment
Strength - High mundane realism as environment is natural
Limitation - Lack of control over extraneous variables - low internal validity
Limitation - May violate ethical issues like informed consent as participants may not know they’re being watched
What is a natural experiment
Researcher takes advantage of a naturally occurring IV e.g after a natural disaster, IV is not manipulated
Evaluate a natural experiment
Strength - Involve study of real life issues as they happen, high external validity (ecological)
Limitation - A naturally occurring event like a natural disaster may happen very rarely making it different to generalize the findings to other situations
Limitation - Participants may not be randomly allocated to experimental conditions so other variables other than the IV might affect the DV, low internal validity
What is a quasi experiment
IV is based on a pre existing difference between people e.g age, IV is not manipulated
Evaluate a quasi experiment
Strength - high internal validity as DV occurs because of IV, as experimenter controls any extraneous variables
Strength - easy to replicate as conditions are highly controlled
Limitation - Participants may not be randomly allocated to experimental conditions so other variables other than the IV might affect the DV, low internal validity
Evaluate random sampling
Strength - Can form a representative sample
Strength - Free from researcher bias as researcher has no influence over selection
Limitation - Difficult and time consuming as you need to get a target population
Limitation - You could still end up with an unrepresentative sample
Limitation - There is no guarantee the sample you choose want to take part
Evaluate opportunity sampling
Strength - Less time consuming and more likely that participants will take part
Limitation - There could be researcher bias as they may select desired participants
Limitation - Will be unrepresentative of the target population if it is drawn from a specific area e.g one park
Evaluate volunteer sampling
Strength - Relatively simple and does not involve too much effort from researchers
Limitation - Volunteer samples attract a particular profile of a person, volunteer bias
Evaluate stratified sampling
Strength - Produces a representative sample as it reflects the population accurately
Strength - Avoids researcher bias as once target population has been sub - divided, participants are randomly selected
Limitation - Time consuming and difficult to complete thoroughly
Evaluate systematic sampling
Strength - Avoids researcher bias as they have no influence over who is chosen
Strength - Fairly representative as it would be unlikely to get all males for example
Limitation - It is possible that you may end up with a sample that does not represent a target population
What is a naturalistic observation
Takes place where behavior naturally occurs, no manipulation of any variables
Evaluate a naturalistic observation
Strength - High external validity as behavior is studied where it’d naturally occur
Limitation - Lack of control over extraenous variables makes replicability difficult
What is a controlled observation
When there is some control over variables i.e extraneous variables
Evaluate a controlled observation
Strength - Replicability is easier as extraneous variables are controlled
Limitation - Might produce results which cannot be easily applied to everyday situations, low external validity
Evaluate a covert observation
Strength - There is no participant reactivity, increasing internal validity
Limitation - Unethical due to informed consent and privacy and confidentiality
Evaluate an overt observation
Strength - More ethical as participants know they’re being watched
Limitation - Participants know they’re being watched which may influence behavior, lower internal validity
Evaluate a participant observation
Strength - Researcher may gain more insight which increases the validity of the findings
Limitation - Researcher bias as they could lose objectivity as they may identify with the participants
Evaluate a non - participant observation
Strength - Researcher maintains an objective distance from participants, so there is less researcher bias
Limitation - Might lose valuable insight gained from a participant observation, reducing validity
Evaluate self report technique - questionnaires
Strength - Cost - effective as they can gather large amounts of data quickly
Strength - Data produced is usually straightforward to analyze, especially with closed questions
Limitation - Responses given may not be truthful, social desirability bias
Limitation - Data may not be as detailed as you’d like, especially with closed questions
Evaluate self report technique - interviews
Strength - Allows for ‘rich data’ as it produces detailed responses that explore the topic in depth
Limitation - Time consuming as data produced is more complex and longer to analyze
Limitation - Responses given may not be truthful, social desirability bias
What is content analysis
A quantitative method for analyzing communications (e.g texts, images) by coding it into categories to identify patterns
What is thematic analysis
A type of content analysis which is a qualitative method used to identify themes across qualitative data (e.g interviews) to describe and interpret aspects of the data
Evaluate content analysis
Strength - Is ethical and has external validity as the data it analyses is public
Strength - Is flexible as it can produce either quantitative or qualitative data
Strength - Can provide a systematic way of analyzing large amounts of data to make comparisons
Limitation - As people are studied indirectly, the researcher may attribute opinions to the person in the research that were not intended originally
How do we test for reliability
Test re-test
Inter- observer reliability - more than one observer, 0.8 correlation level (should match at least 80% of the time)
Split half method - if the two halves produce similar results - high internal reliability
How do we improve reliability
Questionnaires - Test re-test - correlation level of 0.8
Interviews - use same interviewer each time, use unstructured interviews
Experiments - use lab experiment to control variables
Observations - ensure behavior categories have been properly operationalized
How do we test for validity
Internal:
Predictive validity - do scores on one measure enable you to predict results of another
Face validity - do experts in the field think that the test appears to be measuring what it set out to
Concurrent validity - when there is a close agreement between the data produced by the new test compared to the established test; close agreement is established if the correlation between the two sets of data exceeds 0.8%
How do we improve validity
Questionnaires - incorporate a lie scale within the questions, assuring data is anonymous
Experiments - use control groups, standardize procedures, single and double blind procedures
Observations - use a covert observation as behavior is likely natural and authentic
Features of a science
Paradigms - a set of shared assumptions within a scientific discipline
Paradigm shifts - When there is a significant change in the dominant theory within a scientific discipline
Theory construction - Developing an explanation for the causes of behavior by systematically gathering evidence and organizing it into a theory
Hypothesis testing - Using systematic and objective methods to determine whether the hypothesis will be supported or refuted
Falsifiability - Admitting theory can be proved untrue
Replicability - Can procedures and findings be repeated by other researchers
Objectivity - Minimizing sources of personal bias
Empirical method - When an approach gathers evidence through direct observation and experience
How to conduct scientific reporting
Abstract - a short summary including aims, hypothesis, methods, results and conclusions
Introduction - A literature review of the general area of research detailing relevant theories that are related, should begin broadly then become more specific
Method - include: Design of study, Sample (background info of participants), Materials / Apparatus (detail of any assessment materials), Procedure, Ethics
Results - summarise key findings, likely to include descriptive statistics like bar charts, measures of central tendency, inferential statistics
Discussion - Qualitative- Summarise findings in general, discuss limitations - suggest how they may be addressed, wider implications
Reference - Make the source of work clear, reference websites, books etc.
What is the role(s) of peer review
Validate quality and relevance of research
Suggest amendments or improvements before publication
Allocate research funding
What are the implications (of Psychology) for the economy
Development of treatments for mental disorders - Gets people back in work
Attachments research into role of the father - Show the father can be caregiver and mother can be breadwinner, so families maximise their income and contribute more effectively to the economy
What is the ‘Rule of R’
The statistical tests with the letter R are those whose calculated value must be more than or equal to the critical value
What is peer review
The assessment of scientific work by others who are experts in the same field to ensure any research conducted is of high quality
How to do peer review
Either:
Single blind: Researchers name is released but peers is kept anonymous
Double blind - Both researchers and peers names are anonymous
Open review - No anonymity for peer or researcher
What is the difference between Nominal, Ordinal, and Interval data
Nominal - Least scientific, Categories, e.g head count
Ordinal - Somewhat scientific, Data can be ordered from most to least, Subjective e.g self created scale
Interval - Most scientific, Pre- existing scientific scale that is commonly used e.g Seconds
What are the advantages and disadvantages of peer review
Advantages:
Helps to establish the validity and accuracy of research
Technical function - ensures science is sound
Subjective function - Is the science interesting and/ or important
Generally regarded as having the confidence of the science community
Disadvantages:
Research funding committees tend to be male dominated
Biases - reviewers may use their anonymity as a way of criticising rival researchers
Editors are under pressure to generate results that have big impacts