Results
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Summarizes data collected and the statistical treatment used
 report data in sufficient detail to justify conclusions
 mention all relevant results, including those that run counter to the
hypothesis
 no raw data unless used one or a few subjects
 don’t discuss implications of results
 tables and figures are included here
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Statistical presentation
 when reporting inferential statistics (e.g., t tests, F tests and chi-square),
include information such as:
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the obtained magnitude or value of the test statistic
degrees of freedom
probability of obtaining a value as extreme (or more) than the one
obtained
direction of effect
 include descriptive statistics (e.g., per-cell sample size, means,
correlations, standard deviations) so nature of effect can be understood
 recommends use of confidence intervals, generally one (e.g., a 95% or
99%) throughout course of paper
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Informationally adequate statistics
1. For parametric tests of location (generally) use cell means, cell
sample sizes, and a measure of variability.
2. For randomized-block layouts, repeated measures designs, and
multivariate analyses of variance, vectors of cell means and cell
sample sizes, along with the pooled within-cell variance-covariance
matrix
3. For correlational analyses, sample size and variance-covariance (or
correlation) matrix, with other information specific to procedure
4. For nonparametric analyses, various summaries of raw data
 Statistical power (likelihood of correctly of rejecting the tested
hypotheses, given a particular alpha level, effect size, and sample size.)
Provide evidence that your study has sufficient power to detect effects of
substantive interest
 Statistical significance, in general recommends reporting the exact
probability (p value).
 Effect size and strength of relationship, should include some index of
effect size or strength of relationship which can be estimated with a
number of common effect size estimates. General rule is to provide reader
with enough information to access the magnitude of the observed effect or
relationship
Mike