Research methods. Flashcards
(44 cards)
stratified sampling?
dividing the target population into strata or sub categories, which are then selected in proportion.
+makes an effort to be representational
- identification of these categories may be due to researcher bias.
Random sample?
every member of the population has an equal chance at getting picked
+provided best chance of an unbiased sample
-very easy to be unrepresentative, especially if a large population.
opportunity sample?
a researcher selecting participants who are available to them at the time of the study.
+quick, convenient and efficient
-likely to be biased and unrepresentative
Volunteer sample?
People who have consciously selected to be a part of the study.
+allow access to a wide variety of participants
- may be more confident and have similar traits.
IV/DV?
IV- variable manipulated by the experimenter
DV- the outcome measured by the experimenter
extranous varibales vs confouding?
extranous: any variables that might have an effect on the DV except from the IV
coundfounding- uncontrolled extranous variables that have had an effect on the results.
types of extranous variables and how they are controlled?
Situational- variables in situation itself which effect the DV. controlled by standardised procedures and use of pilot studies.
participant- variables from individual participants- controlled through random allocation of participants to conditions
Order effects- Order of which experiment carried out in may effect results. controlled by counterbalancing
demand characteristics- cues participant may receive that indicate the purpose of the research. controlled by deception.
researcher effects: researcher may know aims of study, may struggle to remain objective and influence results- controlled by standardisation and double blind.
Questionnaire design?
-fit for purpose
-filler questions
-sequence of questions
-standardised procedures
-pilot studies
-ethical issues
-clarity
-avoid bias.
+/- of questionaires?
+highly reliable
+standardised
+efficient and cheap
+can gather quant/qualitative data
+can access large number
-closed questions limit validity
-socially desirable
-misunderstand questions
analysing qualitative data?
Thematic analysis: identifying and assessing patterns in qualitative data.
-familiarisation
-coding
-searching for themes
-reviewing themes
-defining and naming themes
-write up.
+data remains rich and useful- braun and Clarke 2006
+easier to draw conclusions
+derive themes from data
-researcher bias
-reliabilty
-time consuming and highly skilled
lab experiments?
= a controlled setting which allows of the manipulation of IV, whilst controlling extranous variables.
+shows causes- cause and effect
+standardisation promotes reliability
+high in scientific credibility
-artifial
-lack mundane realism
-experimenter effects
-demand characteristics
-ethics
Field experiments?
= deliberately manipulated IV, but in natural environment .
+greater ecological validity
+demand characteristics may be lower
+allow for some control
-lower internal validity
-less reliable
-experimenter effects
-ethical issues
experimental designs? +/-
=independant groups/ measures= different participants in each condition.
+no order effects as only one condition
+reduced demand characteristics
+same test can be used
-effected by participant variables
-more required- more expensive
=repeated measures= the same participants in each part of the experiment
+fewer participant variables
+fewer participants required
-demand characteristics may be more obvious
-order effects
-different tests required
=matched pairs=using different participants but ensuring characteristics are matched..
+controls participant variables
+no order effects
+controlled demand characteristics
+same test used
-very different to match
-biased
-more participants
-attrition, drop out of ps
case studies? +/-
+useful, investigate unique experiences
+variety of different methods can be triangulated together
+evidence gathered qualitative
+highly valid
- formed relationships
-less validity
-less generalisable
-difficilt to replicate
descriptive statistics?
describe main trends in the data, summarising raw data into a more meaningful form.
include measures of central tendency, measures of dispersion and graphical representations of data.
measures of central tendency?
Value which is most typical of data set. e.g
mean- often known as the average
+takes into account all of the data, however can be extremely distorted, may not reflect real life.
median- central value for set of data
+not distorted by extreme scores
-less sensitive to each data
-doesnt work for smaller sets
mode-: most frequently occurring value or category
+useful for frequency counts or mutually exclusive
measures of dispersion?
=measures to see if scores are clustered closely around the mean or scattered widely.
The range-: distance between largest and smallest scales
+quick and easy
-little meaningful Data
-distorted by anomalies
standard deviation: measure of how much on average each score deviates from the mean
+most sensitive and representative
+less distorted by skewed data
-not quick and easy to calculate
displaying data?
-frequency diagrams
-bar charts
-pie charts
-scatter diagrams
-histograms
skewed distribution:
normal distribution: mean median and mode are equal
postively skewed: mode, median, mean
negatively distributed: mean, median, mode.
BPS code of conduct?
Respect
Competence
Responsibility
integrity
use of animals?
-more ethical than humans
-similar to humans
-animals are good participants
-theoretical knowledge
-practical applications.
=scientific procedures act 1986.
3 rs?
replaced: with non animal alternatives if possible
reduced: number of animals reduced
refined: to reduce suffering as much as possible.
3 licences?
personal liscence (for each person)
project licence
establishment licenses
risk assessment?
-identify the risk
-assess the risk (cost/benefit analysis)
-plan response
-implement response