3,4 ,7 Flashcards
data collection
gathering empirical evidence through experiments or observations
theory formation
broader explanation based on multiple confirmed hypotheses
sampling bias
when the sample studied doesnt represent the population being studied
h. pylori
a bacteria that causes PUD
null hypothesis
assumes no effect or relationship between variables
type 1 error
false positive. rejecting a true null hypothesis
type 2 error
false negative. failing to reject a false hypothesis
research problem
objective/ process that needs be studied
critical review
topic needs to be THOUROUGHLY looked at
naturalistic observation
studies that describes how something works in a natural setting
scientific modeling
predicts results based on simulations of the real work.
- model is used when actual phenomena is hard to study
- modeling is limited because of removal of real world manipulation variables
non experimental research
studies general features of events, categories or places. Does not tamper with what is being observed.
- descriptive. describe a natural phenomenon
- not meant to be test predictions
extraneous variables
MAY influence the results of an experiment but is NOT meant to
Sampling bias
Happens when the sample is not a representation of the general population
psychological bias
an effect on results due to the study being conducted
experimenter bias
treating paitents differently
quantitative analysis
using #’s to look at data.
- shows the relationship between variables that allows generalization of the results to a larger population
- usually needs a big population or unit
qualitative analysis
no numbers.
- usually has smaller sample sizes and lacks generalizabiliy
positive results
supports hypotheses
Results are?
objective
hypotheses and discussions are
subjective
what makes research an experiement
if it follows experimental design
significance level
level of error that is acceptable.
- written as decimal and gives % chance that the results are in error
prostate specific antigen (PSA) test
looks at proteins for prostate cancer in blood.
- significance level is .2 (acceptable) and are wrong 20% of the time