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IV
The variable that is changed or “manipulated” by the experimenter to observe whether it affects another variable and what those effects are.
DV
The variable that is measured to assess the effects of the IV is called the dependent variable.
Hypothesis
PIDDI - Population, IV (2nd condition), Direction, DV, IV (2nd condition)
Random sampling
ensures that every member of the of the population has an equal chance of being selected as a participant
Stratified sampling
Population is divided into strata (subgroups) and then a sample from each strata/group is chosen in the same proportion as the population
Random Allocation
involves dividing the sample into groups in a way that means that each participant has an equal chance of being placed into the experimental or control group
Population
refers to the entire group of research interest from which a sample is drawn.
Sample
is a subsection or smaller group, of research participants selected from a larger group (population) of research interest
SNAGS - subjects, number, age, gender, special characteristics
Voluntary Participation
individuals should be able to freely choose to take part in a study without being coerced, tricked or manipulated
Informed consent
participants must be informed of the type of study & purpose and give full written consent
for children and intellectually disabled people, the experimenter must obtain written agreement from the person responsible for the participant ( guardian/parent
Withdrawal rights
participants are free to decline to participate, or to withdraw from a study at any time
Confidentiality
ensuring privacy, protection & security of a participant’s personal information and the anonymity of individual results
details of their involvement in a study cannot be revealed unless their written consent is obtained
Deception
to disguise the full intent of the study
deception is only allowed when the participants knowing what the study’s purpose is may affect the results
Debriefing
at the end of every study
participants offered counselling, feedback & questions about the study
deception would be revealed if necessary
any harm done should be reversed
Controlled experiment
•An experimental investigation of the relationship between one or more IVs and a DV, controlling all other variables
•Specifically looking at whether there is a cause-effect relationship between an IV and a DV
Advantages + Limitations of controlled experiment
Advantages
•The researcher can infer causal relationships between, and draw conclusions about, specific variables
•Provide researchers with a high level of control of conditions and variables
•Follow a controlled procedure, so can be repeated testing reliability
•A hypothesis can be tested faster than in real world settings
•Extraneous variables and confounding variables can potentially be minimised/ controlled for
Limitations
•Participants response may be affected by the setting, generally not reflective of real life
•Open to error or experimenter effect
•Can be time consuming and expensive
•Confounding and extraneous variables often still occur
Between subject design
Different participants are randomly allocated to two separate control & experimental groups
Advantages of between subject design
less time consuming than within subjects
No order effects
Low rate of participant withdrawal as they only complete one condition
Limitations of between subjects design
requires more participants than within subjects
Participant related variables likely to cause issues when comparing groups, reducing validity - performance, bias
Difference between control group and experimental group
experimental- exposed to the IV.
control - The participants are NOT exposed to the IV and provide a baseline measure
Correlational study
a non-experimental study in which researchers observe and measure the relationship between two or more variables without any active control or manipulation of them in order to:
Understand the relationship or association existing between variables
Identify which factors may be of greater importance
Make predictions
Advantages + Limitations of Correlational Study
Advantages
There is no manipulation of variable required
The direction and strength of a relationship between variables can be determined
ideas for future research can be provided
Can be conducted in naturalists settings, findings are therefore applicable to real world settings
Can be used to determine the repeatability, reproducibility and validity of measurements
Limitations
No conclusions about cause and effect can be drawn
Correlation does not equal or imply causation
Can be influenced by extraneous variables
A large amount of data is needed
Within-subjects design
an investigation design in which all participants in the sample are involved in both the experimental and control conditions
Advantages + Limitations of Within subjects
Advantages
Reduces participant related variables compared to between subjects
•Can be completed with fewer people than between subjects
Limitations
•May result in order effects (practice or fatigue related)
•Participants dropping out can impact the outcome
•Time consuming
Mixed design
an investigation design that combines elements of a between subjects design and a within subjects design
advantages + limitations of mixed design
advantages
•Results can be compared across groups and across individuals
•Multiple experimental conditions can be compared to a baseline control group
•Testing multiple IVs in one investigation can be time and cost effective
limitations
•Can be costly and time consuming
•Demanding for researchers and assistants to be across multiple methods (experimenter effect may increase)
•Less control over differences in participant variables between groups in the between subjects element
Extraneous Variables
variables other than the independent variable, that may cause changes in the dependent variable
Confounding Variables
extraneous variables that were not controlled for and have influenced the DV
Order effect
in within-subjects design:
the order in which both the conditions of the IV are administered may cause order effects
Learning from one condition to the next (practice effect)
Boredom
Fatigue
Carry over effect: the influence of one condition on the performance of a subsequent condition
Situational variables
Environmental factors that may affect the dependent variable
temp
lighting
time of day
Experimenter bias
the expectations that experimenters may have, whether about the participants or the results, possibly influencing how they conduct the research or interpret the results.
Placebo effect
a change in a participant’s behaviour due to their belief that they are receiving some experimental treatment and they respond by that belief, rather than to the effect of the IV
can be overcome by giving control group a placebo so nobody knows whether they have real thing
Individual Participant Differences
the qualities and characteristics of each of the people used in the experimental and control groups (age, ability, attitude, intelligence, mood, cultural background, experience etc) which could affect the results
Non-standardised instructions and procedures
errors can be introduced when procedures and instructions are not exactly the same (standardised) for participants in each condition.
Demand Characteristics
cues in an experiment that suggest the kind of response that the experimenter wants or expects and may influence or bias a participant’s response, thereby distorting the results
Case study
in-depth investigation of an individual, group, or particular phenomenon that contains a real or hypothetical situation and includes the complexities that would be encountered in the real world
Medical histories
interviews
Observations
Reports
Advantages + Limitations of Case Studies
advantage
Useful method of obtaining detailed information
Allow researchers to investigate impractical, rare situations
provide a ‘snapshot’ of the real-life experience of one or more individuals at a particular time, in a particular situation
provide rich qualitative data
act as a basis for further research
limitation
Cannot test or establish a cause-effect relationship
Small sample size
Results cannot be generalised to a wider population
Subject to research bias and errors
Cause and effect is difficult to determine
Can be very time consuming
Fieldwork
any research involving observation and interaction with people and environments in real-world settings, conducted outside of the lab
Advantages + Limitations of Fieldwork
advantages
•Can be conducted in naturalistic settings – increasing ecological validity
•Can provide detailed data
•May be used for a broad range of methodologies
•May occur over an extended period
•Rich qualitative data can be obtained
limitations
•Can be time-consuming and expensive
•Generally does not lead to conclusions about cause and effect
•Due to lengthy procedures in a real-world setting, fieldwork is difficult to replicate in order to verify results (low reliability)
•Difficult to control the environment and therefore extraneous variables
•Observed behaviour is subjective and open to interpretation and bias by the researcher
Fieldwork - self reports
Self report is a participant’s answers to questions presented by the researcher.
Advantage
•Useful method to collect data on how people think, feel and behave
•Efficient way to collect data from a large number of people in a relatively short amount of time
•Easy to replicate
•Can be anonymous which allows people to be more honest about ‘sensitive’ topics
limitations
•Assumes that people are self-aware of their personal experiences and behaviour
•Social desirability effect – participants may intentionally give false or misleading answers to create a favourable impression of themselves
Fieldwork - observational study
Observational studies involves collection of data by carefully watching and recording behaviour as it occurs without any intervention or manipulation of the behaviour being observed.
advantage
•In naturalistic observations, researchers can watch and record spontaneous, everyday behaviour without the need for manipulation or intervention
•In naturalistic observations, enables researchers to gain more accurate information about the typical behaviours of people
•Structured observations (particularly with checklists) enhances the accuracy of data collection and therefore the results obtained
limitation
•Often lacks a representative sample
•Observer bias could occur (where the researcher sometimes unconsciously distorts what they observe so that it ‘fits’ what they hope to see
Product, Process or System Development
the design or evaluation of an artefact/ product, process or system to meet a human need.
Advantages + Limitations of Product, Process or System Development
Advantages
Creates products, processes and systems that meet a human need
Limitations
•Can be expensive and time-intense
Literature review
the processes of collating and analysing secondary data related to the scientific findings and/or viewpoints of others to answer a question or provide background information
Advantages + Limitations of Literature Review
Advantages
Provides background information on specific phenomena that can be used to inform new studies
•Provides information about current understandings
•May highlight patterns of knowledge or gaps of knowledge
Disadvantage
•Can be time-consuming
•May be difficult if research on a particular topic is lacking
•Difficult to ensure all research is consulted
•Selection bias may result
Modelling
the construction and/ or manipulation of either a physical model or conceptual model that represents a system involving concepts that help people understand or simulate the system
Advantages + Limitations of Modelling
Advantages
May provide explanatory tools
•Physical modelling supports the research to know, understand and problem solve
•Aids to simplify and explain certain phenomena
Limitations
•May over simplify or inaccurately represent ideas
Simulation
a process of using a model to study the behaviour of a real or theoretical system.
Advantages + Limitations of Simulation
Advantages
•Provides insight into potential circumstance or events
•Allows difficult things to see to be viewed (e.g. neurons)
•Allows dangerous or time consuming events/ processes to be seen
Disadvantages
•Can be time-consuming and expensive
•Subject to programming and human error
•May not always be accurate or truly reflect reality
Respect
Recognition that each human being has value
Integrity
The commitment to searching for knowledge and understanding, and the honest reporting of all sources of information and results, whether favourable or unfavourable, in ways that permit scrutiny and contribute to public knowledge and understanding
Justice
Research that has concern for the use of fair procedures and fair distribution of costs and benefits
Beneficence
there must be a reason to conduct research and a commitment to maximising the benefits and minimising risks and harms
Non-maleficence
the principle of avoiding causing harm - any position of course of action should not be disproportionate to the benefits from any position or course of action
Classification & Identification
arranging objects, events or phenomena into distinct, manageable categories.
to be classified as identifying with a particular group infers such phenomena share similar qualities or characteristics and will behave in predictably common ways.
Advantages + Limitations of Classification and Identification
Advantages
Provides a common language to communicate
•Aids to simplify, explain and describe complex phenomena
•Theories about labelled phenomena can be formed
Limitations
•May over-simplify reality
•Labels and language can be inaccurate and create bias, stereotyping, prejudice or discrimination
•Classifications may be based on subjective criteria
Conclusion
a statement about the findings of study
should address the aim and state if the hypothesis was supported
considers if any change in the independent variable is due to the dependent variable
Internal validity
whether a study measures what it sets out to investigate
External validity
whether results can reliably be generalised to the wider population or not
Repeatability
the closeness of agreement between successive measurements carried out under the same conditions
Reproducibility
the agreement of results measured under changed conditions
Double blind
neither the participants nor the experimenter know which condition the participants were allocated to.
Single blind
where the participants are unaware of the experimental condition that they’re in
Accuracy
how close a measurement is to the true value of the quantity being measured
Precision
how close a set of measurement values are to each other
Random error
an error that creates unpredictable variations in the measurement process and results in a spread of readings
Systematic error
an error that causes readings to differ from the true value by a consistent amount each time a measurement is made
Personal error
a mistake, miscalculation or observer error made when conducting research
Opinion
a judgement that is not necessarily based on proof
Anecdote
a short personal account of an event
Evidence
a verified fact
random sampling
selecting participants from the population in a way that means each member of the population has an equal chance of being selected to participate in the study