The repeated measures design (also known as a within-subjects design) uses the same subjects with every condition of the research, including the control.[1] For instance, repeated measures are collected in a longitudinal study in which change over time is assessed. Other studies compare the same measure under two or more different conditions. For instance, to test the effects of caffeine on cognitive function, a subject's math ability might be tested once after they consume caffeine and another time when they consume a placebo.
(Source Reference: - http://en.wikipedia.org/wiki/Repeated_measures )
A repeated measures design is where the same participants are used in all measures. For instance, say you wanted to find how different Music Genres effect scores on a spelling test. You would have a participant do a spelling test while listening to one pieces of music. Then you would have them do another test while listening to a different piece of music, and so on.
"repeated" = it was repeated, it happened at least twice, if not several times; "repeatable" = its characteristics show that it can be repeated (this does not necessarily mean that that even will in fact repeat itself.
what repeated elements can you detect in the alarm clock
it measures wind speed!! -bri it measures wind speed!! -bri
you can not.
to play half of the normal lenth
A repeated measures design involves all participants being used for all possible setups. For example, if you were testing how different music genres effected performance on a spelling test, you would give each participant multiple spelling tests for each genre. Independent measures means that different participants are used for the different setups.
A repeated measures design is where the same participants are used in all measures. For instance, say you wanted to find how different music genres effect scores on a spelling test. You would have a participant do a spelling test while listening to one pieces of music. Then you would have them do another test while listening to a different piece of music, and so on.
The primary strengths of the repeated measures design is that it makes an experiment more efficient and helps keep the variability low. This helps to keep the validity of the results higher, while still allowing for smaller than usual subject groups. twas on wikipedia so not so reliable
The repeated measures design (also known as a within-subjects design) uses the same subjects with every condition of the research, including the control.[1] For instance, repeated measures are collected in a longitudinal study in which change over time is assessed. Other studies compare the same measure under two or more different conditions. For instance, to test the effects of caffeine on cognitive function, a subject's math ability might be tested once after they consume caffeine and another time when they consume a placebo.(Source Reference: - http://en.wikipedia.org/wiki/Repeated_measures )
0.225 Repeated, 0.225, 0.25 Repeated and 0.25.
The problem with repeated measures designs is that they do not account for order effects. For example:The fatigue effect - participants get tired/bored and so perform worse over timeThe practice effect - participants becomes more adept at a task over timeIt also can be difficult to avoid the participants being aware of demand characteristics. For instance, if they do a spelling test in silence, and then with heavy metal music playing, they might guess what the experimenter is trying to study, and so react accordingly (whether this is a conscious change or not).
When the answer was repeated, she understood it better.
No, "gallop" does not have a double consonant repeated. "Gallop" contains the consonant 'l' repeated twice in the middle of the word, but there is no double consonant that is repeated.
Division. Multiplication is repeated addition.
Repeated multiplication is called raising to a power.
No, "absent" does not have a repeated consonant.