U1AOS3 Flashcards
RANDOM ERRORS:
occurs because of a random unpredictable events in the measurement process
SYSTEMATIC ERRORS:
refers to errors that impacts on all data and a flaw to DV measures causing constant errors.
PERSONAL ERRORS:
errors that are faults from the researcher, aka ‘human errors’
TYPES OF ERRORS:
random, systematic, personal
ACCURACY?
the accuracy of a measurement relates to how close it is to the ‘true’ value of the quantity being measured
PRECISION?
refers to how closely a set of measurement values agree with each other
TYPES OF SAMPLING TECHNIQUES?
convenience, stratified and random
RANDOM SAMPLING:
a sampling technique that ensures every member of the population of research interest has an equal chance of being selected as part of the sample.
for example: drawing names from a hat
STRATIFIED SAMPLING:
researcher dividing sampled groups based on characteristics they share in a way where all sub groups are represented.
for example:
CONVENIENCE:
not the very best method of sampling since it can provide a biased sample but it is commonly used.
(asking people to volunteer via news paper article, Selecting people who walk past you in the school yard, Choosing participants because they are family, friends or classmates.
QUALITIATIVE DATA:
information/data that is in the form of descriptions, words, meanings and pictures
QUANTATATIVE DATA:
information/data that is expressed numerically
OBJECTIVE DATA:
information that is observable, measurable, verifiable and free from the personal bias of the researcher
SUBJECTIVE DATA:
information that is based on personal opinion, interpretation, point of view or judgment
PRIMARY DATA:
information collected directly from the source by the researcher (or through others) for their own specific purpose. AKA ‘FIRST HAND DATA’