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Chi square tests of independence, independent sample t-tests and analyses of variance (ANOVA) investigated whether responses were dependent on physician variables.
Baseline characteristics of participants in the visuospatial and no-task conditions were compared using two-tailed independent-samples t tests or chi-squared tests of independence.
Baseline characteristics of participants in the positive and the control conditions were compared using two-tailed independent samples t tests or chi-square tests of independence.
Chi-square tests of independence were used to analyse individual questions.
Crosstabulation and tests of independence were used to describe the adoption of HSP according to tenancy.
Figure 2 shows the p-values of tests of independence based on Spearman's rho.
A different, relaxed-null approach to improving tests of independence is considered.
Common tests of independence that exploit the ordinality of C use a restricted-alternative approach.
On the left panel, the tests of independence are based on Spearman's rho calculated on the pooled data.
We used χ2 tests of independence to compare the distribution of behaviors in each category between the two treatments.
To obtain a more complete picture, we study the power of tests of independence based on different coefficients of correlation, including weighted coefficients with scalar and MAMSE weights.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com