meta.ave.path {vcmeta}

Confidence interval for an average slope coefficient in a general linear model or a path model.

Description

Computes the estimate, standard error, and confidence interval for an average slope coefficient in a general linear model (ANOVA, ANCOVA, multiple regression) or a path model from two or more studies.

Usage

meta.ave.path(alpha, n, slope, se, s, bystudy = TRUE)

Arguments

alpha

alpha level for 1-alpha confidence

n

vector of sample sizes

slope

vector of slope estimates

se

vector of slope standard errors

s

number of predictors of the response variable

bystudy

logical to also return each study estimate (TRUE) or not

Value

Returns a matrix. The first row is the average estimate across all studies. If bystudy is TRUE, there is 1 additional row for each study. The matrix has the following columns:

• Estimate - estimated effect size

• SE - standard error

• LL - lower limit of the confidence interval

• UL - upper limit of the confidence interval

Examples

 
n <- c(75, 85, 250, 160)
slope <- c(1.57, 1.38, 1.08, 1.25)
se <- c(.658, .724, .307, .493)
meta.ave.path(.05, n, slope, se, 2, bystudy = TRUE)

#  Should return:
#         Estimate         SE          LL       UL       df
#  Average     1.32 0.2844334  0.75994528 1.880055 263.1837
#  Study 1     1.57 0.6580000  0.25830097 2.881699  72.0000
#  Study 2     1.38 0.7240000 -0.06026664 2.820267  82.0000
#  Study 3     1.08 0.3070000  0.47532827 1.684672 247.0000
#  Study 4     1.25 0.4930000  0.27623174 2.223768 157.0000