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Statistical Inference and Analysis. Selected Correspondance by J.H Bennett (ed.), R.A. Fisher (auth.)

24 February 2017 adminNonfiction 12

By J.H Bennett (ed.), R.A. Fisher (auth.)

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Additional resources for Statistical Inference and Analysis. Selected Correspondance of R.A.Fisher

Example text

4 Empirical findings Relationship with outcome variables Three kinds of observations were collected which can be regarded as outcome variables: self-rated performance, self-rated health and moral stress reaction. 29* ESRQ scales 3 Scores could range from 1 (worst performance) to 5 (best performance). Scores could range from 0 (worst performance) to 10 (best performance). 3 Scores could range from 1 (lowest degree to) 4 (highest degree). 4 Scores could range from -35 (maximum negative balance) to 35 (maximum positive balance).

Using a 5-point scale ranging from 1 (Very poor) to 5 (Very good). Moral stress was measured in the military cadet sample by the sum score of the four negative ambiguous states identified by Nilsson et al. (2011): Insufficiency, Powerlessness, Meaninglessness and Frustration. The same response scale as in the ESRQ (see above) was used. 72 in the three episode assessments. 3 Statistics The main results presentation is based on correlations (Pearson) between the ESRQ scales on the one hand, and the scales designed to measure antecedent conditions, secondary appraisal, cognitive emotionfocused coping, and outcome indices on the other.

Let the patient or coachee (both called “client” below) reconstruct his or her emotional state in a given situation, for instance a difficult talk with a subordinate about alcohol problems or an athletic competition. The reconstruction should be made twice. The first should mirror the client’s memory of being in the situation and handling it optimally. The second should reflect the memories the client has of the situation at a time when he or she handled it poorly. The interpretation is based on comparison between the two ESRQ reconstructions.

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