As shown in Fig. 7, the gF construct is made up of several different sources of variance. Thus, like measures of WM, gF also seems to be a multifaceted construct. These results point to the need to examine multiple joint influences on variation in a number of cognitive constructs and suggest that individual differences are due to multiple factors even within a particular construct. Thus far we have argued that capacity,

attention control, and secondary memory are three important processes of WM. However, it would be remiss not to point out that other processes are also likely important for WM and likely covary with capacity, attention control, and secondary memory retrieval. For example, these other processes would include integration and coordination processes that are specifically Ku-0059436 in vivo needed in WM where processing and storage operations are combined (Bayliss et al., 2003 and Oberauer et al., 2003), updating and attention switching operations that are more likely needed in complex span

tasks (Oberauer, 2002, Unsworth and Engle, 2008 and Verhaeghen and Basak, 2005), as well as binding operations that are needed to momentarily bind items (Halford et al., 2007 and Oberauer, 2005). Each of these proceses has been linked to WM in the past and each has been suggested as possible reasons for the strong relationship between WM and gF. Clearly more work is needed to determine the extent to which these processes (as well as potentially other processes) are related with capacity, attention control,

and secondary memory, as well as whether these other processes are needed to fully account for individual differences in WM and the relation Fasudil in vitro between WM and gF. Collectively, the current results are very much in line with the multifaceted view of WM, suggesting that WM is a system composed of distinct and interacting Sodium butyrate processes. In particular, individual differences in capacity, attention control, and secondary memory jointly account for individual differences in WM and its relation with gF. Thus, the current results help resolve debates about “the” reason for the relation between WM and gF. The current results strongly suggest that multiple mechanisms drive the relation between WM and gF. In order to understand the nature of WM and why WM strongly predicts individual differences in gF we must attempt to understand the multifaceted nature of WM and understand how these various mechanisms independently and jointly lead to variation in host of higher-order cognitive activities. Thanks to Tom Redick and three anonymous reviewers for helpful comments on an earlier version of the article. “
“The publisher regrets to have the contents of the Tables 12 and 14 published similar. The right content of the Table 12 is given below: Spruce proportion [%] u β S100 ln(b) α Spruce 100 4.98 146.15 0.80 −1.37 3.93 81–99 (average 93) 5.12 167.88 0.88 −1.37 3.93 ⩽80 (average 49) 5.32 203.48 0.94 −1.37 3.