Multiview Diffusion Map Improves Prediction of Fluid Intelligence with Two Paradigms of fMRI Analysis

Author(s):  
Guixia Pan ◽  
Li Xiao ◽  
Yuntong Bai ◽  
Tony W. Wilson ◽  
Julia M. Stephen ◽  
...  
2013 ◽  
Vol 34 (2) ◽  
pp. 82-89 ◽  
Author(s):  
Sophie von Stumm

Intelligence-as-knowledge in adulthood is influenced by individual differences in intelligence-as-process (i.e., fluid intelligence) and in personality traits that determine when, where, and how people invest their intelligence over time. Here, the relationship between two investment traits (i.e., Openness to Experience and Need for Cognition), intelligence-as-process and intelligence-as-knowledge, as assessed by a battery of crystallized intelligence tests and a new knowledge measure, was examined. The results showed that (1) both investment traits were positively associated with intelligence-as-knowledge; (2) this effect was stronger for Openness to Experience than for Need for Cognition; and (3) associations between investment and intelligence-as-knowledge reduced when adjusting for intelligence-as-process but remained mostly significant.


Author(s):  
William G. Kronenberger ◽  
David B. Pisoni

Prelingually deaf children with cochlear implants (CIs) have about 2 to 5 times more risk for delays in specific domains of executive functioning (EF) than normal-hearing (NH) children, with about 25% to 40% of children with CIs showing delays in specific EF subdomains. This chapter reviews the rationale and evidence for two theoretical approaches to explaining this elevated risk for EF delay: language-focused approaches and biopsychosocial systems theories, such as the auditory neurocognitive model. Research supporting language-focused approaches, which attribute risk of EF delays entirely to language delays, has significant limitations. Furthermore, results from an extensive data set of EF outcomes in CI users are inconsistent with language-focused approaches. In contrast, biopsychosocial systems theories, which attribute risk for EF delay to a system of factors, including auditory experience, language, family environment/experiences, fluid intelligence, and psychosocial influences, provide the strongest evidence and potential for explaining EF delays and outcomes in children with CIs.


Intelligence ◽  
2021 ◽  
Vol 84 ◽  
pp. 101513
Author(s):  
Josué Rico-Picó ◽  
Ángela Hoyo ◽  
Sonia Guerra ◽  
Ángela Conejero ◽  
M. Rosario Rueda

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Kuan-Wei Chen ◽  
Ya-Chen Lee ◽  
Tzu-Ying Yu ◽  
Li-Jung Cheng ◽  
Chien-Yu Chao ◽  
...  

Abstract Background Fluid intelligence deficits affect executive functioning and social behaviors in patients with schizophrenia. To help clinicians manage fluid intelligence deficits, a psychometrically sound measure is needed. The purposes of this study were to examine the test–retest reliability and convergent validity of the Test of Nonverbal Intelligence-Fourth Edition (TONI-4) assessing fluid intelligence in patients with schizophrenia. Methods A total of 103 patients with stable condition were assessed with the TONI-4 twice with a 4-week interval to examine the test–retest reliability. We further used the Montreal Cognitive Assessment (MoCA) and the Tablet-Based Symbol Digit Modalities Test (T-SDMT) to examine the convergent validity of the TONI-4. Results The intra-class correlation coefficient was 0.73 for the TONI-4. The percentages of standard error of measurement and minimal detectable change for the TONI-4 were 5.1 and 14.2%, respectively. The practice effect of the TONI-4 was small (Cohen’s d = − 0.03). Convergent validity showed small to moderate significant correlations between the TONI-4 and the MoCA as well as the T-SDMT (r = 0.35, p = .011 with the T-SDMT and r = 0.61, p < .001 with the MoCA). The results demonstrated that the TONI-4 had good test–retest reliability, limited random measurement error, and a trivial practice effect. The convergent validity of the TONI-4 was good. Conclusions These findings indicate that the TONI-4 has potential to be a reliable and valid assessment of fluid intelligence in patients with schizophrenia.


Author(s):  
Michael Shreeves ◽  
Leo Gugerty ◽  
DeWayne Moore

Abstract Background Research on causal reasoning often uses group-level data analyses that downplay individual differences and simple reasoning problems that are unrepresentative of everyday reasoning. In three empirical studies, we used an individual differences approach to investigate the cognitive processes people used in fault diagnosis, which is a complex diagnostic reasoning task. After first showing how high-level fault diagnosis strategies can be composed of simpler causal inferences, we discussed how two of these strategies—elimination and inference to the best explanation (IBE)—allow normative performance, which minimizes the number of diagnostic tests, whereas backtracking strategies are less efficient. We then investigated whether the use of normative strategies was infrequent and associated with greater fluid intelligence and positive thinking dispositions and whether normative strategies used slow, analytic processing while non-normative strategies used fast, heuristic processing. Results Across three studies and 279 participants, uses of elimination and IBE were infrequent, and most participants used inefficient backtracking strategies. Fluid intelligence positively predicted elimination and IBE use but not backtracking use. Positive thinking dispositions predicted avoidance of backtracking. After classifying participants into groups that consistently used elimination, IBE, and backtracking, we found that participants who used elimination and IBE made fewer, but slower, diagnostic tests compared to backtracking users. Conclusions Participants’ fault diagnosis performance showed wide individual differences. Use of normative strategies was predicted by greater fluid intelligence and more open-minded and engaged thinking dispositions. Elimination and IBE users made the slow, efficient responses typical of analytic processing. Backtracking users made the fast, inefficient responses suggestive of heuristic processing.


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