`compare_smd.Rd`

A function to compare standardized mean differences (SMDs) between studies. This function is intended to be used to compare the compatibility of original studies with replication studies (lower p-values indicating lower compatibility).

```
compare_smd(
smd1,
n1,
se1 = NULL,
smd2,
n2,
se2 = NULL,
paired = FALSE,
alternative = c("two.sided", "less", "greater", "equivalence", "minimal.effect"),
null = 0,
TOST = FALSE
)
```

- smd1, smd2
SMDs from study 1 & 2, respectively.

- n1, n2
sample size(s) from study 1 & 2, respectively (can be 1 number or vector of 2 numbers).

- se1, se2
User supplied standard errors (SEs). This will override the internal calculations.

- paired
a logical indicating whether the SMD is from a paired or independent samples design. If a one-sample design, then paired must be set to TRUE.

- alternative
a character string specifying the alternative hypothesis, must be one of "two.sided" (default), "greater", "less", "equivalence" (TOST), or "minimal.effect" (TOST). You can specify just the initial letter.

- null
a number indicating the null hypothesis. For TOST, this would be equivalence bound.

- TOST
Defunct: use alternative argument. Logical indicator (default = FALSE) to perform two one-sided tests of equivalence (TOST).

A list with class "htest" containing the following components:

"statistic": z-score.

"p.value": numeric scalar containing the p-value for the test under the null hypothesis.

"estimate": difference in SMD between studies.

"null.value": the specified hypothesized value for the null hypothesis.

"alternative": character string indicating the alternative hypothesis (the value of the input argument alternative). Possible values are "greater", "less", or "two-sided".

"method": Type of SMD.

"data.name": "Summary Statistics" to denote summary statistics were utilized to obtain results.

"smd": SMDs input for the function.

"sample_sizes": Sample sizes input for the function.

"call": the matched call.

This function tests for differences between SMDs from independent studies (e.g., original vs replication).

Other compare studies:
`boot_compare_cor()`

,
`boot_compare_smd()`

,
`compare_cor()`