Meta Analysis of Factor Analysis Based on CO-Occurrence Matrices
c(person(given = "Xijian",
family = "Zheng",
role = c("aut","cre"),
email = "psydreammer@foxmail.com"),
person(given = "Huiyong",
family = "Fan",
role = "aut",
email = "570950454@qq.com"))
Provide a series of functions to conduct a meta analysis of
factor analysis based on co-occurrence matrices. The tool can be used to
solve the factor structure (i.e. inner structure of a construct, or scale)
debate in several disciplines, such as psychology, psychiatry, management,
education so on. References: Shafer (2005) <doi:10.1037/1040-3590.17.3.324>;
Shafer (2006) <doi:10.1002/jclp.20213>; Loeber and Schmaling (1985) <doi:10.1007/BF00910652>.
Xijian Zheng [aut, cre],
Huiyong Fan [aut]

Robust Cronbach's alpha with missing and non-normal data
Cronbach's alpha is one of the most widely used
reliability or internal consistency measures in social,
behavioral and education sciences. Alpha is reported in nearly
every study that involves measuring a construct through
multiple test items. The package coefficientalpha calculates
Cronbach's coefficient alpha with missing data and non-normal
data. Robust standard error and confidence interval are also
provided.

Robust Cronbach's Alpha and Mcdonald's Omega with Missing and
Non-normal Data
Cronbach's alpha and McDonald's omega are widely used reliability or internal consistency measures in social, behavioral and education sciences. Alpha is reported in nearly every study that involves measuring a construct through multiple test items. The package coefficientalpha calculates coefficient alpha and omega with missing data and non-normal data. Robust standard errors and confidence intervals are also provided. A test is also available to test the tau-equivalent and homogeneous assumptions.

Robust Coefficient Alpha and Omega with Missing and Non-Normal
Data
Cronbach's alpha and McDonald's omega are widely used reliability or internal consistency measures in social, behavioral and education sciences. Alpha is reported in nearly every study that involves measuring a construct through multiple test items. The package 'coefficientalpha' calculates coefficient alpha and coefficient omega with missing data and non-normal data. Robust standard errors and confidence intervals are also provided. A test is also available to test the tau-equivalent and homogeneous assumptions. Version 0.5 added the bootstrap confidence intervals.