- Is the design efficient? e.g., Is the design balanced, is sampling error
reasonable and will precision be adequate, have potential sources of
error been identified? - What strategies will be used to deal with missing or incomplete data?
e.g., Are missing and not applicable responses distinguished in data
coding? - Are proposed statistical procedures appropriate? e.g., Have levels of
measurement, data distributions been checked and transformations
been considered? - If inferential tests or estimation of parameters are intended has an
underlying statistical model been specified? e.g., Have model
assumptions such as homogeneity of variance for ANOVA been
checked?
Figure 1.4: Statistical guidelines for
planning a quantitative study
Statistical analysis for education and psychology researchers 16