content analysis, types of research methods
used to analyse qualitative data and transform into quantitative
content analysis data collection
systematic sample
examines and familiarises data
code the data- make categories, operationally define categories, comprehensive list categories, mutually exclusive categories(non overlap)
weakness content analysis
observer bias
one researcher might interpret the meaning of a category differently to another.
can tally up wrong
strength of content analysis
inter-rater reliability
The media can be accessed by other researchers to see if data is reliable.
standardised methods can be used to check test retest
thematic analysis
.transcribe data (listen to words and write down exact language spoken)
.data read repeatedly to find trends
.themes reanalysed to become clearer and annotate short hard codes
.then write report
strength of thematic analysis
high ecological validity as it is based on observations
weakness of thematic analysis
unscientific and open to researcher bias due to expectations of outcome
case studies
detailed study of either a group or individual of an unusual case. can be observed or interviewed. finding placed into themes to represent individuals thoughts in a qualitative way from quantitative data.
ways to assess reliability
using the test retest method and measuring correlation coefficient
inter observer reliability
when both observers agree, if not pilot study to check application to behaviorual categories is the same.
improve reliability in questionaires
use closed questions as open ended can be too ambiguous
improve reliability in interveiws
using a structured interview as some interviewers can use leading questions
improve reliability in lab experiments
use a standardised procedure and controlled conditions so participants arnt exposed to different conditions
improve reliability in observations
behavioural categories being operationalised as there can be unclear categories
internal validity
weather the manipulation of iv or other factors affect the dv
ecological validity
when findings can be generalised from different settings and every day life
temporal validty
weather findings from a theory or research is still in date and relates
face validty
checking if the test measures what its supposed to measure from an eyeball.
concurrent validity
to measure the current test to an established similar test
nominal level of measurement
most simple
categories of objects and behaviour and how mnay times there are in each category
ordinal level of measurement
ordered or ranked
no universally accepted scale
personal judgement
interval level of measurement
universally accepted numerical scales
such as thermometer or weighing
inferential testing
after stud to test probability of results by chance
compare calculated value of study with a critcal value to determine significance
used 5% if reach this level can accept alternate hypothesis and reject null
different stats test
chi2. sign test, chi2
mann whit. wilcoxon, spear
unrelated, related, pearson