Research Methodologies & Locations Flashcards
(38 cards)
Define an experiment
- a research method where cause and effect are measured through the control and manipulation of key variables, and where participants are randomly assigned to experimental/control groups
What are the pros and cons of experiments?
- PROS: allow for the precise control of extraneous and independent variables, clear cause and effect, internal validity.
- CONS: artificial setting could produce unnatural behaviour, low ecological validity, expensive and time consuming
Explain lab experiments and +/-
- conducted under controlled and artificial conditions
- manipulate IV to measure DV
- experimental and control conditions
L&P:
pros - high levels of control and easy to replicate
cons - low ecological validity and problems of demand characteristics
Explain field experiments and +/-
- experiment conducted in a natural environment
- allow causal relationships to form and Ps unaware they’re being researched
Hofling:
pros - higher colonial validity than lab experiments and less demand characteristics
cons - unethical and more chance of extraneous variables
Describe online research, including +/-
- often involves questionnaires over social networking sites
Pros - accessible and cost effective, replicable due to closed questions
Cons- consent is hard to gain and there is social desirability bias
Explain quasi and natural experiments
- natural experiments take advantage of a naturally occurring change in behaviour and the ability to measure the DV. Where unethical to manipulate IV
- quasi are not true experiments as researcher has not manipulated IV and Ps not randomly allocated to control/experimental.
Pros and cons of natural experiments (no manipulation by researcher, natural variables)
Pros - allows research in areas the IV cannot be manipulated for ethical or practical reasons (ie you cannot make a person schizophrenic). Allows researchers to investigate real problems which helps more people.
Cons - cannot demonstrate causal relationships because IV isn’t manipulated. Threat to internal validity as less control of extraneous variables
Non-experimental RM: questionnaire, +/-
- RM that includes a list of questions which generate closed and/or open answers
- produce qualitative and/or quantitive data
Pros - used to assess psychological variables that are not obvious from observation & data can be collected quickly from large numbers
Cons - no guarantee of honesty and varied interpretations of a question
Describe structured interviews and +/-
- standardised questions known as an interview schedule, asked face to face
- elicit verbal responses
- pros - same questions each time = easier to analyse, replicable and so more reliable
- cons - restrictive and don’t allow for spontaneous questions
Describe semi-structured interviews and +/-
- asking Ps questions with interview schedules and follow up questions (like a clinical interview)
- pros - more qualitative info and higher validity
- cons - difficult to analyse as not same questions used each time and not replicable, therefore less reliable
What are the 2 types of observational studies?
- covert: Ps unaware of research
- overt: Ps aware
Explain participant observation and +/-
- researcher takes on role of participant whilst observing others
- remains anonymous
Pros - less chance of demand characteristics and can research people who would otherwise be difficult to observe.
Cons - researcher may suffer from observer bias
Explain non-participant observation and +/-
- researcher watches and records Ps behaviour from a distance with no interference
Pros - less chance of observer bias and researcher clearly sees behaviour so more valid and reliable findings
Cons - observer bias and unethical, consent and deception
Explain unstructured and structured observation
- unstructured: researcher writes a detailed description of what is being observed. No preset categories. Qualitative data
- structured: researcher records behaviour precisely. Preferable to unstructured as more objective and rigorous. Uses behavioural categories and sampling procedures
Describe the 2 types of sampling
- event sampling: count the number of times a particular behaviour occurs in a target individual
- time sampling: record the behaviours in a time frame
Describe case studies, including pros and cons
- a method high involves an in-depth investigation of a phenomenon using a descriptive analysis of a person, event or group.
- involves many diff RM and usually is qualitative
Pros - rich qualitative data with high ecological validity and allows researchers to study cases they couldn’t ethically manipulate in an experiment
Cons - researcher bias and difficult to generalise findings, so low population validity
Describe correlations and refer to +/-
- comparing to covariables to see if there’s a relationship between them. Illustrated by a scatter diagram.
Pros - shows direction and strength of relationship which can be used to make prediction about behaviour. Used when experiments are inappropriate
Cons - correlations only show that there is a relationships. Difficult to establish cause and effect
Describe quantitative data and the +/-
- type of data that can be measured numerically so stat analysis can be completed
Pros - easy to analyse and easier to collect from large group of Ps
Cons - tends to lose human level of behaviour and offers a shallow view
Describe qualitative data and the +/-
- type of data that is observed but not measured numerically. Difficult to analyse
Pros - more individual and human view of behaviour and in-depth data
Cons - difficult to analyse and is room limited range and number of people
Describe primary resources and the +/-
- information/data collected first hand by the researcher
Pros -researcher can control format and relate it to aims of research
Cons - may lack validity due to social desirability and/or demand characteristics
Describe secondary resources and the +/-
- information not collected by the researcher
Pros - could be more valid
Cons - researcher cannot control format of data produced
What is an experimental/ group design
- the way we organise the control and experimental conditions
Describe a repeated measures design including pros and cons
- experimental design where Ps take part in both control and experimental condition, and the performance in the control is compared to the experimental
- significant difference between indicates the IV affects the DV
PROS: participant variables & number of participants
CONS: order effects & demand characteristics
Describe an independent group design including pros and cons
- experimental design where Ps take part in only one experimental condition and Ps are randomly allocated to either experimental or control
PROS: demand characteristics & order effect
CONS: number of Ps & P variables