SD–IE and other differentiation effects in Italy and Spain
Introduction
Life history strategies constitute coordinated sets of bioenergetic resource trade-offs between mating effort, parenting, health, defense of one’s community, and so on (Ellis et al., 2009, Hairston et al., 1970, MacArthur and Wilson, 1967; Pianka, 1970). Organisms that focus on mating effort instead of other domains are said to have ‘fast’ life histories; those that focus on domains such as parenting and somatic maintenance have ‘slow’ life histories. Within human populations, individual differences in personality are genetically related to health and a general behavioral life history factor termed K (Figueredo and Rushton, 2009, Figueredo et al., 2004). The superordinate of these dimensions is a global life history super-factor termed super-K (Figueredo, Vásquez, Brumbach, & Schneider, 2007). Not everything that relates to life history at one level of aggregation necessarily relates to it at different levels of aggregation, however. The g factor, for example, seems to correlate with life history traits between populations (Boutwell et al., 2013, Meisenberg and Woodley, 2013, Rushton, 2000, Templer, 2008), but very little with individual differences in life history (Woodley, 2011). This disparity has been termed “Rushton’s Paradox” (Meisenberg & Woodley, 2013).
One possible solution to Rushton’s Paradox is that high-K people, although not possessing higher g overall, nonetheless exhibit more specialized cognitive abilities (Woodley, 2011). As high-K populations generally live in environments where population density, stability and competition are high, specialization may be a fitness-enhancing strategy. Specialization leads to enhanced aggregate efficiency (because there are specialists for every niche) and a higher carrying capacity. Therefore, it is a logical component of a high-K strategy. Conversely, cognitive generalism may be the strategy of choice amongst low-K (fast) life history populations, as these populations live in unstable environments where there is a need to switch between niches. This cognitive differentiation–integration effort (CD–IE) hypothesis was successfully tested recently amongst large cohorts, wherein g and K either did not correlate, or where correlations could be controlled (Woodley, Figueredo, Brown, & Ross, 2013).
Spearman’s Law of Diminishing Returns (SLODR) is a similar phenomenon to CD–IE; however, it refers to the ability differentiation effect among persons of high g, (e.g., Detterman and Daniel, 1989, Spearman, 1927). Many individual-differences studies employing sample polytomization techniques have investigated SLODR over the last century, and the results of meta-analysis suggest that it is a real phenomenon, albeit one exhibiting a small effect magnitude (Hartmann & Nyborg, 2004). This phenomenon has also been found using polytomization at the population-differences level (Coyle & Rindermann, 2013).
SD–IE (strategic differentiation–integration effort) is an analogous effect to both CD–IE and SLODR; however, it concerns differentiation among components of life history. SD–IE exists among individuals (Figueredo, Woodley, Brown, & Ross, 2013) and populations (Fernandes and Woodley, 2013, Woodley and Fernandes, 2014, Woodley et al., 2014).
In the present study, we test SD–IE using regional-level data for counties in Spain and Italy. We also tested CD–IE and SLODR among these counties. At the between-group level, however, g and K are typically strongly correlated (e.g., Boutwell et al., 2013, Meisenberg and Woodley, 2013, Rushton, 2000, Templer, 2008), so it is hard to test CD–IE on the group level without the possibility of contamination from SLODR. We expect, based on the previous studies aforementioned, that among populations, SD–IE is present, and that either CD–IE or SLODR (or both) is present. We will discuss the generalities and particularities of these differentiation phenomena in Spain and Italy, as compared to previous similar tests in the US and in Japan, based on an ethnic-historical perspective.
Section snippets
Spain
Lynn (2012a) has published data for 18 Spanish provinces from which we obtained six potentially K-salient indicators. A sixth was obtained from another source (Baizán, 2009):
- 1.
Big G (following the terminology developed in Rindermann, 2007). A composite indicator (the mean of z-scores) estimated from the latest PISA and literacy rate measures (from 2009 and 1991 respectively). The PISA scores were available for the reading, math and science subtests. It has been argued that IQ is part of life
Results
Table 1 lists factor loadings on national K and big G for each variable in Spain, and Table 2 for Italy.
Discussion
This study provides further validation of the group-level SD–IE hypothesis with new variables and populations. It also yields support for the existence of group-level CD–IE and SLODR. Our study has further emphasized the progressive nature (Lakatos, 1970) of the research program of SD-IE, as these findings were predicted based on previous observations of the effect in other samples.
The population-level SLODR effects detected here were substantially stronger than those reported in Coyle and
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