Research: lecture 3 Flashcards
(55 cards)
what measures effect size
Cohen’s D
explain Cohen’s D
is the difference in two means divided by the pooled standard deviation
t/f larger difference in groups … larger ES
true
less variability _____ ES
larger
what is power
the chance of finding a significant difference if there is one to be found
what is power affected by?
-a number of variables:
1. effect size goes up; power goes up
2. number of participants goes up; power goes up
where would you find the flowchart in an article?
methods?
what does intention to treat mean
DONT USE THIS IN RESEARCH
what is the difference b/w quasi-experimental and experimental?
quasi: no random assignment and typically involve the use of cohort groups
experimental: participants are randomly assigned to at least two comparison groups
what is key to true experimental design?
randomization
one group has how many assessments
more than one assessment per participant
two or more groups have how many assessments
one assessment per participants
design that randomly assigns participants to different groups, such as an experimental group (receiving a new treatment) and a control group (receiving a placebo or standard treatment). The goal is to determine the effectiveness of an intervention or treatment by comparing outcomes between groups
randomized control trial
what are key features of an RCT? (4)
- randomization
2.control group
3.prospective study
4.blinding if possible
what study follows particpants forward in time, observing outcomes as they occur
prospective study
what is blinding?
partipants and researchers are unaware of which group (txt or control) partipants are in to minimize bias
where are reputable journals listed?
pubmed
cinahl
if you have a smaller ES what do you need more of?
subjects
differences between groups
comparing post data vs comparing change scores
comparing post data: outcome values AFTER the intervention
-posttest values analyzed directly
comparing change scores: difference between pre and post for each subject
-pretest subtracted from posttest for each subject, then compares changes
what test compares means between two groups?
t-test
why is comparing post data often better?
-less measurement error (more noise, less reliable)
-regression to the mean for changing scores
what is experimental research design
-participants are randomly assigned to at least two comparison groups
what is quasi experimental
-no random assignment
-typically involve the use of cohort groups
one group-
more than one assessment per partipant