Statistical methods 2.0 Flashcards
validity
how well a test actually measures what it was created to measure
reliability
getting the same result over and over
sample
the subset of the population chosen by the investigator for study
population
the entire group about which the investigator wants to draw conclusions
representative sampling
Age, socio economic status, ethnic orgin s
random sampling
gives every member of the population an equal chance of being selected
stratified sample
divides population into groups and select a sample from each group
confounding variables
conditions a researcher wishes to prevent form affecting the outcome of the experiment
random assignment
chance of being a member of either the experimental the control group is equal
control
a person’s ability or perception of their ability to affect themselves, others, their conditions, their environment or some other circumstance.
group matching
a statistical technique that is used to evaluate the effectiveness of a treatment by comparing the treated
experimenter bias
occurs when the experimenter’s expectations influence the outcome of the research
double-blind
an experimental design in which neither the experimenter nor the participants are in the experimental
single-blind
A type of clinical trial in which only the researcher doing the study knows which treatment or intervention the participant is receiving until the trial is over.
Hawthorne effect
the alteration of behavior by the subject of a study due to their awareness of being observed
placebo effect
occurs when participants expectations rather than the experimental treatment produce an outcome
frequency distributions
68% 95% 99%
measures of central tendency
a single number that indicates the overall characteristic of a set of data
outliers
an extreme observation or measurement, that is, a score that significantly differs from all others obtained
left skew
Data that is negatively skewed have a long tail that extends to the left
right skew
the mean will be greater than the median
measure of variability
standard deviation measures how much scores vary on average around the mean of the sample range the distance between the highest and lowest
z scores
standarized score
normal curve
A frequency curve where most occurrences take place in the middle of the distribution and taper off on either side.