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research studies due to legal, ethical, and practical limitations. Between group designs use two or more separate groups of subjects, each of which receive a different type of intervention or no intervention in the case of a control condition. Therefore, the independent variable is manipulated by the experimenter in such a way that different groups of subjects receive different types of experiences that are being investigated. Within group designs examine the influence of the independent variable (such as treatment) with the same subjects over time. Therefore, subjects are not assigned to different experimental and control groups as they are in a between group design but are all likely to experience the same research protocol. In within group designs, comparisons are made with the same patient at different points of time, such as during a baseline or pretreatment period, during a treatment intervention period, and during a follow-up or posttreatment period. Case studies provide an intensive observation of a person and phenomenon, which allows for hypotheses and theories to be developed. Case studies can be especially helpful when researchers and clinicians are interested in examining a new, rare, or unusual phenomenon, or during the early descriptive stages of a research program. Analogue designs use procedures, subjects, and measures that approximate a real-life clinical situation and are usually conducted in a laboratory where experimental conditions can be controlled better than in the natural environment. Correlational designs examine the degree of association between two or more variables. While correlational designs do not allow cause-and-effect conclusions

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across trials constitutes a space of variability, which leaves unaltered the alignment of the barrel of the gun to the target The insight that not all variance requires control obviously has important theoretical consequences for the understanding of learning, expertise, and motor control in general Indeed, it may be worthwhile to examine not just the overall degree of variability, but also the structure within the variability in relation to attainment of a specific goal One would expect that an expert would have restructured the skill s execution such that the component of the variance that most affects task performance is decreased, at least relative to that of the variance in the UCM To date, however, the approach has not been applied in expertise research, although a few learning studies that have adopted the UCM approach do point in this direction (Kang, Shinohara, Zatsiorsky, & Latash, 2004; Yang & Scholz, 2005).

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The strength of the UCM is that it allows for an objective test of explicit hypotheses regarding controlled variables; a limitation of the approach is that to determine the UCM throughout a movement, a continuous goal-state has to be introduced Reaching the ultimate (task) goal, however, may not require following this timecontinuous goal state throughout the movement Summary A number of process measures and techniques can give insights into how movement is controlled at high levels of skill These range from attention manipulations, to eye movement recording, to whole-body movement kinematics The sophistication of statistical techniques and methods available to analyze these data is continually growing, allowing for a more holistic, task-relevant description and insight into the variables that enable effective and efficient movements.

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