This study suggests two approaches to factorial invariance testing with multilevel data when the groups are at the within level: multilevel factor mixture model for known classes (ML FMM) and multilevel multiple indicators multiple causes model (ML MIMIC). The adequacy of the proposed approaches was investigated using Monte Carlo simulations. Additionally, the performance of different types of ...

In this paper we create the connection of wrap-around-discrepancy and aberration of regular fractional factorial designs with two and three levels. For any level we give the connection of uniformity and orthogonality only for complete design.

Inferences we make about underlying cognitive processes can be jeopardized in two ways due to problematic forms of aggregation. First, averaging across individuals is typically considered a very useful tool for removing random variability. The threat is that averaging across subjects leads to averaging across different cognitive strategies, thus harming our inferences. The second threat comes f...

this experiment was conducted at the agricultural research farm of isfahan university of technology in 2007-2008 to evaluate the effects of seed treatment and the levels of irrigation regimes on three safflower cultivars. a split plot factorial arrangement was used in a randomized complete block design with three replications. main-plot consisted of three irrigation regimes (60, 105 and 140 mm ...

vegetation studies measuring the accuracy of the results is important. the purpose of this study is to compare shape and distribution plots on different levels for species richness measurements.thiscomparison was in three design whittaker, stohlgern and a new design (ariz) in ariz, sanandaj.designed proposition (ariz) obtainedon base changes in the size and distribution plotin design stohlgern ...