Sequential trials followed a 12-item sequential order (2-3-1-4-3-2-4-1-3-4-2-1, 1 corresponding thethe left-most position, and 4 corresponding to the right-most position).
The Trailmaking Test (parts A and B), requires the individual to connect encircled items in sequential order in a timed test.
Place four items in sequential order from left to right.
Furthermore, as the sequential item-by-item growth of clusters mapped with an accompanying set of homogeneity statistics can be displayed in a hierarchical tree diagram, the ICLUST procedure provides uniquely useful diagnostic and interpretative information not available in conventional approaches of scale construction, such as EFA [69].
Further, the use of either a sequential item approach or a Comprehensive Exploratory Factor Analysis (CEFA) may be a useful strategy to improve the validity of the tool [ 47].
We have already justified the procedure because: the modifications are limited to items within the same factor; the modifications were limited to error correlations for sequential items, and only 10 of the 406 error correlations among the 29 items were freed.
We justify the procedure here because: 1) the modifications are limited to items within the same factor; 2) the modifications were limited to error correlations for sequential items, and 3) only 10 of the 406 error correlations among the 29 items were freed.
The K-MoCA consisted of the following sequential items: alternate trail making (1 point), copying a cube (1 point) and drawing a clock (3 points) (to assess visuo-construction skills), naming (3 points), attention (6 points), sentence repetition (2 points), verbal fluency (1 point), abstraction (2 points), delayed recall (5 points), and orientation (6 points).
Workflow steps are represented in a CIF loop using _tcod_computation_* data items, and the sequential numbers of workflow steps are given in _tcod_computation_step.
With item-based algorithms, the number of items in the window is not fixed with sliding window nor it grows one by one with growing windows—since the order of appearance of new items is not sequential.
c) Temporal order during memory retrieval: The weight of recent experience is often higher in memory retrieval shortly after learning, whereas longer retrieval intervals favor may more balanced weights for sequential items [36] (see also below).
