test_rdiff {esci} | R Documentation |
Test a hypothesis about a difference in correlation strength
Description
test_rdiff
is suitable for testing a hypothesis about a
difference in correlation (r) between two conditions.
At the moment, it can only test hypotheses for independent-group designs.
Usage
test_rdiff(estimate, rope = c(0, 0), output_html = FALSE)
Arguments
estimate |
|
rope |
|
output_html |
|
Details
This function can be passed an esci_estimate object generated by
estimate_rdiff_two()
.
It can test hypotheses about a specific value for the difference (a point null) or about a range of values (an interval null)
Value
Returns a list with 1-2 data frames
-
point_null - always returned
-
test_type - 'Nil hypothesis test', meaning a test against H0 = 0
-
outcome_variable_name - Name of the outcome variable
-
effect - Label for the effect being tested
-
null_words - Express the null in words
-
confidence - Confidence level, integer (95 for 95%, etc.)
-
LL - Lower boundary of the confidence% CI for the effect
-
UL - Upper boundary of the confidence% CI for the effect
-
CI - Character representation of the CI for the effect
-
CI_compare - Text description of relation between CI and null
-
t - If applicable, t value for hypothesis test
-
df - If applicable, degrees of freedom for hypothesis test
-
p - If applicable, p value for hypothesis test
-
p_result - Text representation of p value obtained
-
null_decision - Text represention of the decision for the null
-
conclusion - Text representation of conclusion to draw
-
significant - TRUE/FALSE if significant at alpha = 1-CI
-
-
interval_null - returned only if an interval null is specified
-
test_type - 'Practical significance test', meaning a test against an interval null
-
outcome_variable_name -
-
effect - Name of the outcome variable
-
rope - Test representation of null interval
-
confidence - Confidence level, integer (95 for 95%, etc.)
-
CI - Character representation of the CI for the effect
-
rope_compare - Text description of relation between CI and null interval
-
p_result - Text representation of p value obtained
-
conclusion - Text representation of conclusion to draw
-
significant - TRUE/FALSE if significant at alpha = 1-CI
-
Examples
# example code
estimate <- esci::estimate_rdiff_two(
comparison_r = .53,
comparison_n = 45,
reference_r = .41,
reference_n = 59,
grouping_variable_levels = c("Females", "Males"),
x_variable_name = "Satisfaction with life",
y_variable_name = "Body satisfaction",
grouping_variable_name = "Gender",
conf_level = .95
)
test_rdiff(estimate)