Crystalline Intelligence

Essay Instructions:

Hi! I chose you because you completed the outline for this essay. For this assignment, you have selected a peer-reviewed journal article in Topic 3 relating to an area of problem solving, decision making, or an intelligence theory that was discussed in class (e.g., fluid or crystalline intelligence, primary/secondary reinforcers, biases, or effective problem-solving strategies). In 1,000-1,200 words, citing a minimum of three scholarly articles, address the prompts below. Use subheadings to differentiate between the various aspects of your review. Method/Participants: Describe the basics of how the study was conducted and what procedures were used. Identify the participants Major Findings/Conclusions: Include the major findings of the study. Explain the conclusions researchers draw from the data. Strengths/Limitations of the Study: Include at least one strength AND one limitation you saw in the study. Explain why you believe each is a strength or limitation. Hint: study findings are not “strengths” in and of themselves. Implications for the Field of Psychology (how the findings could be used/applied in the field): Include how the results of the study can be applied (e.g., why are the findings of the study important?). These may be the implications the authors put forth, or your own ideas (be sure to cite if they are not your ideas). Evaluate how psychology/education/counseling professional’s benefit (learn) from the findings. Explain how the results might improve knowledge or application in the field, including what psychology professionals should “take away” from the findings.

Essay Sample Content Preview:

Crystalline Intelligence Name Institutional Affiliation Instructor Course Date Crystalline Intelligence Method/Participants The LASI-DAD (Longitudinal Aging Investigation in India-Diagnostic Assessment of Dementia) samples were used in the current case study. Out of 3223 participants, the participants were those aged 60 years and above (Bajpai et al., 2021). Instead, 77 participants out of a total of total participants were not included in the data analysis. Some were excluded because they lacked the LASI-DAD protocol or test results that did not match the study. Cognitive tests were used to investigate GC (crystallized intelligence) and GF (fluid intelligence). The two observation tools used in this study are the Cognitive Impairment Screening Interview (CSI-D) and Raven's Progressive Matrices. Owing to the implementation of standard scores, those scores were used for variance studies based on the exam results. This program determined the difference between the IQ fluid and the crystallized scores. Bajpai et al. (2021) utilized standard tests like the Hindi Mental Status Examination (HMSE) and the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE) done by our patients to ensure reliability. In this research project, authors considered the possibility of a correlation between cognitive loss and fluid and crystallized intelligence, which were analyzed using correlation and factorial analytics methods. Major Findings/Conclusions The study's three key results reveal a direct link between the gap between fluid and crystallized intelligence and the decline in cognitive abilities that happens in the elderly group. Individuals with a wide gap between fluid and crystallized IQs demonstrated a significant decline throughout the multiple aspects of cognitive functions (Bajpai et al., 2021). The individual showed reduced ability on memory, language, executive function, and visuospatial ability tests. The study found that those with higher discrepancy scores were more likely to have cognitive impairment. That entails the low scores of the HMSE and IQCODE. Although, its results are far from insignificant. The study's outcomes indicate it may be an excellent marker for detecting early cognitive decline (Bajpai et al., 2021). It may also act as a diagnostic tool that enables the screening and prediction of upcoming dementia, allowing for early interventions among those who are expected to be affected. The obtained data consistency shows that the discrepancy analysis is a good instrument for finding people with small cognitive disorders before clinical diagnosis. Symptom patterns are clinically valuable as diagnostic criteria and preventive tools (Bajpai et al., 2021). Clinicians and scientists can trace thinking profiles and design aids that help people not lose their cognitive capacity when coping with fluid and crystallized intelligence. Besides, the study considered adding heterogeneity to standard cognitive tests of older people. It might be a great source of this kind of data, which further can be used for the early warning and prevention of mental decline a...

Updated on June 14, 2024

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