The problem with repeated measures designs is that they do not account for order effects. For example:
It 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).
to play half of the normal lenth
Yes, repeated measures and related measures refer to the same concept in statistics. Both terms describe a study design where the same subjects are measured multiple times under different conditions or over time. This approach helps control for individual differences, allowing for more precise comparisons of the effects of treatments or interventions.
Ease of manufacture, and a smooth, continuous look on the wall.
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 strength of independent measures design is that it eliminates the risk of carryover effects, as each participant is only exposed to one condition, leading to cleaner data. However, a key weakness is that it requires a larger number of participants to achieve the same statistical power as repeated measures designs, which can increase costs and logistical challenges. Additionally, individual differences between groups can introduce variability that may confound the results.
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
Ergonomics is about designing for people to increase their efficiency. The designs should complement their strengths and abilities and minimize the effects of their limitations
You can find free deck and patio designs online at freedeckplans. They even tell you how much the material will be and measures the deck as well and prices it as well
Resistance bands can stretch up to several times their original length, depending on the specific band. The limitations of their elasticity are that they can wear out over time with repeated use, losing some of their resistance and elasticity.
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 )
Some examples of unachievable designs that could be explored and analyzed in a discussion include perpetual motion machines, time machines, and teleportation devices. These designs are often considered impossible due to the laws of physics and the limitations of current technology.