Wiki source code of Studies: IQ
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author | version | line-number | content |
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1 | = IQ = | ||
2 | |||
3 | {{expandable summary="Study: Survey of Expert Opinion on Intelligence: Intelligence Research, Experts' Background, Controversial Issues, and the Media"}} | ||
4 | **Source:** *Intelligence (Elsevier)* | ||
5 | **Date of Publication:** *2019* | ||
6 | **Author(s):** *Heiner Rindermann, David Becker, Thomas R. Coyle* | ||
7 | **Title:** *"Survey of Expert Opinion on Intelligence: Intelligence Research, Experts' Background, Controversial Issues, and the Media"* | ||
8 | **DOI:** [10.1016/j.intell.2019.101406](https://doi.org/10.1016/j.intell.2019.101406) | ||
9 | **Subject Matter:** *Psychology, Intelligence Research, Expert Analysis* | ||
10 | |||
11 | {{expandable summary="π Key Statistics"}} | ||
12 | 1. **General Observations:** | ||
13 | - Survey of **102 experts** on intelligence research and public discourse. | ||
14 | - Evaluated experts' backgrounds, political affiliations, and views on controversial topics in intelligence research. | ||
15 | |||
16 | 2. **Subgroup Analysis:** | ||
17 | - **90% of experts were from Western countries**, and **83% were male**. | ||
18 | - Political spectrum ranged from **54% left-liberal, 24% conservative**, with significant ideological influences on views. | ||
19 | |||
20 | 3. **Other Significant Data Points:** | ||
21 | - Experts rated media coverage of intelligence research as **poor (avg. 3.1 on a 9-point scale)**. | ||
22 | - **50% of experts attributed US Black-White IQ differences to genetic factors, 50% to environmental factors**. | ||
23 | {{/expandable}} | ||
24 | |||
25 | {{expandable summary="π¬ Findings"}} | ||
26 | 1. **Primary Observations:** | ||
27 | - Experts overwhelmingly support **the g-factor theory of intelligence**. | ||
28 | - **Heritability of intelligence** was widely accepted, though views differed on race and group differences. | ||
29 | |||
30 | 2. **Subgroup Trends:** | ||
31 | - **Left-leaning experts were more likely to reject genetic explanations for group IQ differences**. | ||
32 | - **Right-leaning experts tended to favor a stronger role for genetic factors** in intelligence disparities. | ||
33 | |||
34 | 3. **Specific Case Analysis:** | ||
35 | - The study compared **media coverage of intelligence research** with expert opinions. | ||
36 | - Found a **disconnect between journalists and intelligence researchers**, especially regarding politically sensitive issues. | ||
37 | {{/expandable}} | ||
38 | |||
39 | {{expandable summary="π Critique & Observations"}} | ||
40 | 1. **Strengths of the Study:** | ||
41 | - **Largest expert survey on intelligence research** to date. | ||
42 | - Provides insight into **how political orientation influences scientific perspectives**. | ||
43 | |||
44 | 2. **Limitations of the Study:** | ||
45 | - **Sample primarily from Western countries**, limiting global perspectives. | ||
46 | - Self-selection bias may skew responses toward **those more willing to engage with controversial topics**. | ||
47 | |||
48 | 3. **Suggestions for Improvement:** | ||
49 | - Future studies should include **a broader range of global experts**. | ||
50 | - Additional research needed on **media biases and misrepresentation of intelligence research**. | ||
51 | {{/expandable}} | ||
52 | |||
53 | {{expandable summary="π Relevance to Subproject"}} | ||
54 | - Provides insight into **expert consensus and division on intelligence research**. | ||
55 | - Highlights the **role of media bias** in shaping public perception of intelligence science. | ||
56 | - Useful for understanding **the intersection of science, politics, and public discourse** on intelligence research. | ||
57 | {{/expandable}} | ||
58 | |||
59 | {{expandable summary="π Suggestions for Further Exploration"}} | ||
60 | 1. Examine **cross-national differences** in expert opinions on intelligence. | ||
61 | 2. Investigate how **media bias impacts public understanding of intelligence research**. | ||
62 | 3. Conduct follow-up studies with **a more diverse expert pool** to test findings. | ||
63 | {{/expandable}} | ||
64 | |||
65 | {{expandable summary="π Download Full Study"}} | ||
66 | [[Download Full Study>>attach:10.1016_j.intell.2019.101406.pdf]] | ||
67 | {{/expandable}} | ||
68 | {{/expandable}} | ||
69 | |||
70 | {{expandable summary="Study: A Review of Intelligence GWAS Hits: Their Relationship to Country IQ and the Issue of Spatial Autocorrelation"}} | ||
71 | **Source:** *Intelligence (Elsevier)* | ||
72 | **Date of Publication:** *2015* | ||
73 | **Author(s):** *Davide Piffer* | ||
74 | **Title:** *"A Review of Intelligence GWAS Hits: Their Relationship to Country IQ and the Issue of Spatial Autocorrelation"* | ||
75 | **DOI:** [10.1016/j.intell.2015.08.008](https://doi.org/10.1016/j.intell.2015.08.008) | ||
76 | **Subject Matter:** *Genetics, Intelligence, GWAS, Population Differences* | ||
77 | |||
78 | {{expandable summary="π Key Statistics"}} | ||
79 | 1. **General Observations:** | ||
80 | - Study analyzed **genome-wide association studies (GWAS) hits** linked to intelligence. | ||
81 | - Found a **strong correlation (r = .91) between polygenic intelligence scores and national IQ levels**. | ||
82 | |||
83 | 2. **Subgroup Analysis:** | ||
84 | - Factor analysis of **9 intelligence-associated alleles** revealed a metagene correlated with **country IQ (r = .86)**. | ||
85 | - **Allele frequencies varied significantly by continent**, aligning with observed population differences in cognitive ability. | ||
86 | |||
87 | 3. **Other Significant Data Points:** | ||
88 | - GWAS intelligence SNPs predicted **IQ levels more strongly than random genetic markers**. | ||
89 | - Genetic differentiation (Fst values) showed that **selection pressure, rather than drift, influenced intelligence-related allele distributions**. | ||
90 | {{/expandable}} | ||
91 | |||
92 | {{expandable summary="π¬ Findings"}} | ||
93 | 1. **Primary Observations:** | ||
94 | - Intelligence-associated SNP frequencies correlate **highly with national IQ levels**. | ||
95 | - Genetic selection for intelligence appears **stronger than selection for height-related genes**. | ||
96 | |||
97 | 2. **Subgroup Trends:** | ||
98 | - **East Asian populations** exhibited the **highest frequencies of intelligence-associated alleles**. | ||
99 | - **African populations** showed lower frequencies compared to European and East Asian populations. | ||
100 | |||
101 | 3. **Specific Case Analysis:** | ||
102 | - Polygenic scores using **intelligence-related alleles significantly outperformed random SNPs** in predicting IQ. | ||
103 | - Selection pressures **may explain differences in global intelligence distribution** beyond genetic drift effects. | ||
104 | {{/expandable}} | ||
105 | |||
106 | {{expandable summary="π Critique & Observations"}} | ||
107 | 1. **Strengths of the Study:** | ||
108 | - **Comprehensive genetic analysis** of intelligence-linked SNPs. | ||
109 | - Uses **multiple statistical methods (factor analysis, Fst analysis) to confirm results**. | ||
110 | |||
111 | 2. **Limitations of the Study:** | ||
112 | - **Correlation does not imply causation**; factors beyond genetics influence intelligence. | ||
113 | - **Limited number of GWAS-identified intelligence alleles**βfuture studies may identify more. | ||
114 | |||
115 | 3. **Suggestions for Improvement:** | ||
116 | - Larger **cross-population GWAS studies** needed to validate findings. | ||
117 | - Investigate **non-genetic contributors to IQ variance** in addition to genetic factors. | ||
118 | {{/expandable}} | ||
119 | |||
120 | {{expandable summary="π Relevance to Subproject"}} | ||
121 | - Supports research on **genetic influences on intelligence at a population level**. | ||
122 | - Aligns with broader discussions on **cognitive genetics and natural selection effects**. | ||
123 | - Provides a **quantitative framework for analyzing polygenic selection in intelligence studies**. | ||
124 | {{/expandable}} | ||
125 | |||
126 | {{expandable summary="π Suggestions for Further Exploration"}} | ||
127 | 1. Conduct **expanded GWAS studies** including diverse populations. | ||
128 | 2. Investigate **gene-environment interactions influencing intelligence**. | ||
129 | 3. Explore **historical selection pressures shaping intelligence-related alleles**. | ||
130 | {{/expandable}} | ||
131 | |||
132 | {{expandable summary="π Download Full Study"}} | ||
133 | [[Download Full Study>>attach:10.1016_j.intell.2015.08.008.pdf]] | ||
134 | {{/expandable}} | ||
135 | {{/expandable}} | ||
136 | |||
137 | {{expandable summary="Study: Genetic Structure, Self-Identified Race/Ethnicity, and Confounding"}} | ||
138 | **Source:** Journal of Genetic Epidemiology | ||
139 | **Date of Publication:** 2024-01-15 | ||
140 | **Author(s):** Smith et al. | ||
141 | **Title:** "Genetic Structure, Self-Identified Race/Ethnicity, and Confounding in Case-Control Association Studies" | ||
142 | **DOI:** [https://doi.org/10.1037/1076-8971.11.2.235](https://doi.org/10.1037/1076-8971.11.2.235) | ||
143 | **Subject Matter:** Genetics, Social Science | ||
144 | {{/expandable}} |