F. D. Schönbrodt, M. D. Back, S. C. Schmukle
Social Relation Model (SRM) analyses for single or multiple
round-robin groups are performed. These analyses are either based on one
manifest variable, one latent construct measured by two manifest variables,
two manifest variables and their bivariate relations, or two latent
constructs each measured by two manifest variables. Within-group t-tests
for variance components and covariances are provided for single groups,
between-groups t-tests for multiple groups. Handling for missing values is
provided.

Social Relation Model (SRM) Analyses for Single or Multiple
Groups

Social Relation Model (SRM) analyses for single or multiple
round-robin groups are performed. These analyses are either based on one
manifest variable, one latent construct measured by two manifest variables,
two manifest variables and their bivariate relations, or two latent
constructs each measured by two manifest variables. Within-group t-tests
for variance components and covariances are provided for single groups.
For multiple groups two types of significance tests are provided:
between-groups t-tests (as in SOREMO) and enhanced standard errors based on
Lashley and Bond (1997). Handling for missing values is provided.

Social Relation Model (SRM) analyses for single or multiple
round-robin groups are performed. These analyses are either based on one
manifest variable, one latent construct measured by two manifest variables,
two manifest variables and their bivariate relations, or two latent
constructs each measured by two manifest variables. Within-group t-tests
for variance components and covariances are provided for single groups.
For multiple groups two types of significance tests are provided:
between-groups t-tests (as in SOREMO) and enhanced standard errors based on
Lashley and Bond (1997) <DOI:10.1037/1082-989X.2.3.278>. Handling for missing values is provided.

Tobias K. Mildenberger, Marc H. Taylor, Matthias Wolff
Fish stock assessment methods and fisheries models based on the FAO
Manual "Introduction to tropical fish stock assessment" by P. Sparre and
S.C. Venema <http://www.fao.org/docrep/W5449E/W5449E00.htm>.  Focus is the analysis of length-frequency data and data poor fisheries.