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State the aim in the first sentence of this section.Write a few more sentences if necessary to justify the aim and/or explain your unique approach to realizing the aim. Use a figure to explain a complex design or a design involving several assays at different times.
Interpret the outcomes qualitatively, explaining any major limitations in generalizing to real populations. Be as economical with words as possible, but do not compromise grammar.
This article is written in the form of an original-research paper for the journal Sportscience.
Then describe the assay for each under its own sub-subheading. Describe the assay for the second measure under a sub-subheading, as shown here, and so on.
Give an outline of established procedures and refer the reader to previous published accounts for details; for new procedures show enough detail to allow the reader to reproduce the procedures successfully. When mentioning a piece of equipment, you must state the model, the manufacturer, and the city and country of origin. Finish this section with this paragraph, or something similar: We have used means and standard deviations to represent the average and typical spread of values of variables.
Include relevant information on sampling or digitizing rates and data processing that led to the measure. We have shown the precision of our estimates of outcome statistics as 95% confidence limits (which define the likely range of the true value in the population from which we drew our sample).
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The p values shown represent the probability of a more extreme absolute value than the observed value of the effect if the true value of the effect was zero or null.Try not to mention p values, statistical significance, null hypotheses, type I errors, and type II errors. Interpret the magnitude of each outcome in a qualitative way, using both your experience of the magnitudes that matter in this area of human and also any published scales of magnitudes (e.g., Cohen, 1988; Hopkins, 1998).You must interpret the observed effects and the 95% confidence limits.If you are bored with the topic, you will probably bore your reader as well. When writing your outline, keep your destination in mind.Choose something that is new and exciting, not something overworked. Is information on this subject available in various forms (i.e. Your information will help you get there, but how will you organize your journey?You can also report any ancillary methodological findings. Summarize the spread of values between subjects with the standard deviation, never with the standard error of the mean.Show the precision of your estimates of outcomes with confidence limits.Statistically significant effects are those for which the zero or null value of the effect lies outside the 95% confidence interval (i.e., p How close to reality were your measurements?In a repeated-measures study, how reproducible were the dependent variables?If possible, report recent best competitive performances of athletes as a percent of the world record, to make it clear what of athlete the outcome of your study can be generalized to. For repeated-measures designs omit the obvious treatment variable, but include numeric and nominal variables you have analyzed as covariates. These are variables in repeated-measures designs that you have assayed to try to explain the effect of the treatment. Describe the assay for the first measure under a sub-subheading, as shown here.Show all the above characteristics for any major subgroups of subjects (e.g., males and females, non-athletes and athletes). Use a table like this (tables for other journals have similar formats): List the measures (variables) you used and explain why you chose them, as shown below. You may wish to group some measures under one sub-subheading, such as Training, Anthropometric, or Environmental Measures.