Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2018 Dec;15(12):1154-1161.
doi: 10.30773/pi.2018.10.10.2. Epub 2018 Nov 26.

Relationship of Working Memory, Processing Speed, and Fluid Reasoning in Psychiatric Patients

Affiliations

Relationship of Working Memory, Processing Speed, and Fluid Reasoning in Psychiatric Patients

Se-Jin Kim et al. Psychiatry Investig. 2018 Dec.

Abstract

Objective: The present study aimed to investigate relationship among cognitive factors (working memory and processing speed) and fluid reasoning (Gf) in psychiatric patients using a standardized clinical tool.

Methods: We included the responses of 115 heterogeneous patients who were diagnosed with the MINI-Plus 5.0 and WAIS-IV/WMSIV was administered. For our analysis, structured equation modeling (SEM) was conducted to evaluate which cognitive variables are closely related to the Gf.

Results: The results showed that the visual working memory was the strongest predictor of the Gf compared to other cognitive factors.

Conclusion: Processing speed was capable of predicting the Gf, when visual working memory was controlled. The inter-relationship among the Gf and other cognitive factors and its clinical implications were further discussed.

Keywords: Fluid reasoning; Processing speed; WAIS-IV; WMS-IV; Working memory.

PubMed Disclaimer

Figures

Figure 1.
Figure 1.
Measurement model. The circles represent latent constructs, and the squares represent the observed variables. Single-headed arrows represent standardized factor loadings and double-headed arrows represent correlations between factors. All parameter estimates are standardized and significant at p<0.05. DS: Digit Span, LN: Letter Number Sequencing, SA: Spatial Addition, SSP: Symbol Span, SS: Symbol Search, CD: Coding, MR: Matrix Reasoning, FW: Figure Weight.
Figure 2.
Figure 2.
Unconstrained model. The circles represent latent constructs, and the squares represent the observed variables. Single-headed arrows represent standardized factor loadings and double-headed arrows represent correlations between factors. All parameter estimates are standardized and significant at **p<0.01. DS: Digit Span, LN: Letter Number Sequencing, SA: Spatial Addition, SSP: Symbol Span, SS: Symbol Search, CD: Coding, MR: Matrix Reasoning, FW: Figure Weight.

References

    1. Cattell RB. Theory of fluid and crystallized intelligence: a critical experiment. J Educ Psychol. 1963;54:1–22. - PubMed
    1. Zeller F, Wang T, Reiss S, Schweizer K. Does the modality of measures influence the relationship among working memory, learning and fluid intelligence? Pers Individ Dif. 2017;105:275–279.
    1. Tourva A, Spanoudis G, Demetriou A. Cognitive correlates of developing intelligence: The contribution of working memory, processing speed and attention. Intelligence. 2016;54:136–146.
    1. Baddeley AD, Hitch GJ. Developments in the concept of working memory. Neuropsychology. 1994;8:485–493.
    1. Miller GA. The magical number seven, plus or minus two: some limits on our capacity for processing information. Psychol Rev. 1956;63:81–97. - PubMed

LinkOut - more resources