0 Votes

Changes for page Research at a Glance

Last modified by Ryan C on 2025/06/26 03:09

From 67.1 to 68.1 From 125.1 to 125.2

From version

68.1

edited by Ryan C
on 2025/03/16 03:10

Change comment: There is no comment for this version

To version

125.1

edited by Ryan C
on 2025/06/21 05:24

Change comment: There is no comment for this version

Raw
Rendered

Summary

Page properties (2 modified, 0 added, 0 removed)
Attachments (0 modified, 4 added, 2 removed)

Details

Page properties

Parent

@@ -1,1 +1,1 @@
--Main.Studies.WebHome
++Main Categories.Science & Research.WebHome

Content

@@ -1,458 +14,24 @@
--= Research at a Glance =
--
--== Introduction ==
--
--Welcome to the **Research at a Glance** repository. This section serves as a **centralized reference hub** for key academic studies related to various fields such as **social psychology, public policy, behavioral economics, and more**. Each study is categorized for easy navigation and presented in a **collapsible format** to maintain a clean layout.
--
--=== How to Use This Repository ===
--
--- Click on a **category** in the **Table of Contents** to browse studies related to that topic.
--- Click on a **study title** to expand its details, including **key findings, critique, and relevance**.
--- Use the **search function** (Ctrl + F or XWiki's built-in search) to quickly find specific topics or authors.
--- If needed, you can export this page as **PDF or print-friendly format**, and all studies will automatically expand for readability.
--
  {{toc/}}
--== Research Studies Repository ==
++= Research at a Glance =
--= Study: Genetic Structure, Self-Identified Race/Ethnicity, and Confounding =
--{{expand expanded="false" title="Click here to expand details"}}
--**Source:** Journal of Genetic Epidemiology
--**Date of Publication:** 2024-01-15
--**Author(s):** Smith et al.
--**Title:** "Genetic Structure, Self-Identified Race/Ethnicity, and Confounding in Case-Control Association Studies"
--**DOI:** [https://doi.org/10.1037/1076-8971.11.2.235](https://doi.org/10.1037/1076-8971.11.2.235)
--**Subject Matter:** Genetics, Social Science
--**Tags:** `Genetics` `Race & Ethnicity` `Biomedical Research`
--=== **Key Statistics** ===
++    Welcome to the **Research at a Glance** repository. This section serves as a **centralized reference hub** for key academic studies related to various important Racial themes. Each study is categorized for easy navigation and presented in a **collapsible format** to maintain a clean layout. I wanted to make this for a couple of reasons. Number one is organization. There are a ton of useful studies out there that expose the truth, sometimes inadvertently. You'll notice that in this initial draft the summaries are often woke and reflect the bias of the AI writing them as well as the researchers politically correct conclusion in most cases. That's because I haven't gotten to going through and pointing out the reasons I put all of them in here.
--1. **General Observations:**
--   - A near-perfect alignment between self-identified race/ethnicity (SIRE) and genetic ancestry was observed.
--   - Misclassification rate: **0.14%**.
--2. **Subgroup Analysis:**
--   - Four groups analyzed: **White, African American, East Asian, and Hispanic**.
--   - Hispanic genetic clusters showed significant European and Native American lineage.
++    There is often an underlying hypocrisy or double standard, saying the quiet part out loud, or conclusions that are so much of an antithesis to what the data shows that made me want to include it. At least, thats the idea for once its polished. I have about 150 more studies to upload, so it will be a few weeks before I get through it all. Until such time, feel free to search for them yourself and edit in what you find, or add your own studies. If you like you can do it manually, or if you'd rather go the route I did, just rename the study to its doi number and feed the study into an AI and tell them to summarize the study using the following format:
--=== **Findings** ===
--- Self-identified race strongly aligns with genetic ancestry.
--- Minor discrepancies exist but do not significantly impact classification.
--=== **Relevance to Subproject** ===
++- Click on a **category** in the **Table of Contents** to browse studies related to that topic.
++- Click on a **study title** to expand its details, including **key findings, critique, and relevance**.
++- Use the **search function** (Ctrl + F or XWiki's built-in search) to quickly find specific topics or authors.
++- If needed, you can export this page as **PDF or print-friendly format**, and all studies will automatically expand for readability.
++- You'll also find a download link to the original full study in pdf form at the bottom of the collapsible block.
--- Reinforces the reliability of **self-reported racial identity** in genetic research.
--- Highlights **policy considerations** in biomedical studies.
--{{/expand}}
--{{expand title="Study: [Study Title] (Click to Expand)" expanded="false"}}
--**Source:** [Journal/Institution Name]
--**Date of Publication:** [Publication Date]
--**Author(s):** [Author(s) Name(s)]
--**Title:** "[Study Title]"
--**DOI:** [DOI or Link]
--**Subject Matter:** [Broad Research Area, e.g., Social Psychology, Public Policy, Behavioral Economics]
++This page was getting too full, therefore I have created sub pages for each category. This makes it much easier to add new studies.
-----
--## **Key Statistics**
--1. **General Observations:**
--   - [Statistical finding or observation]
--   - [Statistical finding or observation]
--
--2. **Subgroup Analysis:**
--   - [Breakdown of findings by gender, race, or other subgroups]
--
--3. **Other Significant Data Points:**
--   - [Any additional findings or significant statistics]
--
-----
--
--## **Findings**
--1. **Primary Observations:**
--   - [High-level findings or trends in the study]
--
--2. **Subgroup Trends:**
--   - [Disparities or differences highlighted in the study]
--
--3. **Specific Case Analysis:**
--   - [Detailed explanation of any notable specific findings]
--
-----
--
--## **Critique and Observations**
--1. **Strengths of the Study:**
--   - [Examples: strong methodology, large dataset, etc.]
--
--2. **Limitations of the Study:**
--   - [Examples: data gaps, lack of upstream analysis, etc.]
--
--3. **Suggestions for Improvement:**
--   - [Ideas for further research or addressing limitations]
--
-----
--
--## **Relevance to Subproject**
--- [Explanation of how this study contributes to your subproject goals.]
--- [Any key arguments or findings that support or challenge your views.]
--
-----
--
--## **Suggestions for Further Exploration**
--1. [Research questions or areas to investigate further.]
--2. [Potential studies or sources to complement this analysis.]
--
-----
--
--## **Summary of Research Study**
--This study examines **[core research question or focus]**, providing insights into **[main subject area]**. The research utilized **[sample size and methodology]** to assess **[key variables or measured outcomes]**.
--
--This summary provides an accessible, at-a-glance overview of the study's contributions. Please refer to the full paper for in-depth analysis.
--
-----
--
--## **📄 Download Full Study**
--{{velocity}}
--#set($doi = "[Insert DOI Here]")
--#set($filename = "${doi}.pdf")
--#if($xwiki.exists("attach:$filename"))
--[[Download>>attach:$filename]]
--#else
--{{html}}<span style="color: red; font-weight: bold;">🚨 PDF Not Available 🚨</span>{{/html}}
--#end
--{{/velocity}}
--
--{{/expand}}
--
--{{html}}<hr style="border: 3px solid red;">{{/html}}
--
--
--
-----
--
--{{expand title="Study: Trends in Frequency of Sexual Activity and Number of Sexual Partners Among Adults Aged 18 to 44 Years in the US, 2000-2018" expanded="false"}}
--**Source:** *JAMA Network Open*
--**Date of Publication:** *2020*
--**Author(s):** *Ueda P, Mercer CH, Ghaznavi C, Herbenick D.*
--**Title:** *"Trends in Frequency of Sexual Activity and Number of Sexual Partners Among Adults Aged 18 to 44 Years in the US, 2000-2018"*
--**DOI:** [10.1001/jamanetworkopen.2020.3833](https://doi.org/10.1001/jamanetworkopen.2020.3833)
--**Subject Matter:** *Public Health, Sexual Behavior, Demography*
--
-----
--
--## **Key Statistics**
--1. **General Observations:**
--   - Study analyzed **General Social Survey (2000-2018)** data.
--   - Found **declining trends in sexual activity** among young adults.
--
--2. **Subgroup Analysis:**
--   - Decreases in sexual activity were most prominent among **men aged 18-34**.
--   - Factors like **marital status, employment, and psychological well-being** were associated with changes in sexual frequency.
--
--3. **Other Significant Data Points:**
--   - Frequency of sexual activity decreased by **8-10%** over the studied period.
--   - Number of sexual partners remained **relatively stable** despite declining activity rates.
--
-----
--
--## **Findings**
--1. **Primary Observations:**
--   - A significant decline in sexual frequency, especially among **younger men**.
--   - Shifts in relationship dynamics and economic stressors may contribute to the trend.
--
--2. **Subgroup Trends:**
--   - More pronounced decline among **unmarried individuals**.
--   - No major change observed for **married adults** over time.
--
--3. **Specific Case Analysis:**
--   - **Mental health and employment status** were correlated with decreased activity.
--   - Social factors such as **screen time and digital entertainment consumption** are potential contributors.
--
-----
--
--## **Critique and Observations**
--1. **Strengths of the Study:**
--   - **Large sample size** from a nationally representative dataset.
--   - **Longitudinal design** enables trend analysis over time.
--
--2. **Limitations of the Study:**
--   - Self-reported data may introduce **response bias**.
--   - No direct causal mechanisms tested for the decline in sexual activity.
--
--3. **Suggestions for Improvement:**
--   - Further studies should incorporate **qualitative data** on behavioral shifts.
--   - Additional factors such as **economic shifts and social media usage** need exploration.
--
-----
--
--## **Relevance to Subproject**
--- Provides evidence on **changing demographic behaviors** in relation to relationships and social interactions.
--- Highlights the role of **mental health, employment, and societal changes** in personal behaviors.
--
-----
--
--## **Suggestions for Further Exploration**
--1. Investigate the **impact of digital media consumption** on relationship dynamics.
--2. Examine **regional and cultural differences** in sexual activity trends.
--
-----
--
--## **Summary of Research Study**
--This study examines **trends in sexual frequency and number of partners among U.S. adults (2000-2018)**, highlighting significant **declines in sexual activity, particularly among young men**. The research utilized **General Social Survey data** to analyze the impact of **sociodemographic factors, employment status, and mental well-being** on sexual behavior.
--
--This summary provides an accessible, at-a-glance overview of the study's contributions. Please refer to the full paper for in-depth analysis.
--
-----
--
--## **📄 Download Full Study**
--{{velocity}}
--#set($doi = "10.1001_jamanetworkopen.2020.3833")
--#set($filename = "${doi}.pdf")
--#if($xwiki.exists("attach:$filename"))
--[[Download>>attach:$filename]]
--#else
--{{html}}<span style="color: red; font-weight: bold;">🚨 PDF Not Available 🚨</span>{{/html}}
--#end
--{{/velocity}}
--
--{{/expand}}
--
--{{html}}<hr style="border: 3px solid red;">{{/html}}
--
--
--{{expand title="Study: One is the Loneliest Number: Involuntary Celibacy (Incel), Mental Health, and Loneliness" expanded="false"}}
--**Source:** *Current Psychology*
--**Date of Publication:** *2024*
--**Author(s):** *Brandon Sparks, Alexandra M. Zidenberg, Mark E. Olver*
--**Title:** *"One is the Loneliest Number: Involuntary Celibacy (Incel), Mental Health, and Loneliness"*
--**DOI:** [10.1007/s12144-023-04275-z](https://doi.org/10.1007/s12144-023-04275-z)
--**Subject Matter:** *Psychology, Mental Health, Social Isolation*
--
-----
--
--## **Key Statistics**
--1. **General Observations:**
--   - Study analyzed **67 self-identified incels** and **103 non-incel men**.
--   - Incels reported **higher loneliness and lower social support** compared to non-incels.
--
--2. **Subgroup Analysis:**
--   - Incels exhibited **higher levels of depression, anxiety, and self-critical rumination**.
--   - **Social isolation was a key factor** differentiating incels from non-incels.
--
--3. **Other Significant Data Points:**
--   - 95% of incels in the study reported **having depression**, with 38% receiving a formal diagnosis.
--   - **Higher externalization of blame** was linked to stronger incel identification.
--
-----
--
--## **Findings**
--1. **Primary Observations:**
--   - Incels experience **heightened rejection sensitivity and loneliness**.
--   - Lack of social support correlates with **worse mental health outcomes**.
--
--2. **Subgroup Trends:**
--   - **Avoidant attachment styles** were a strong predictor of incel identity.
--   - **Mate value perceptions** significantly differed between incels and non-incels.
--
--3. **Specific Case Analysis:**
--   - Incels **engaged in fewer positive coping mechanisms** such as emotional support or positive reframing.
--   - Instead, they relied on **solitary coping strategies**, worsening their isolation.
--
-----
--
--## **Critique and Observations**
--1. **Strengths of the Study:**
--   - **First quantitative study** on incels’ social isolation and mental health.
--   - **Robust sample size** and validated psychological measures.
--
--2. **Limitations of the Study:**
--   - Sample drawn from **Reddit communities**, which may not represent all incels.
--   - **No causal conclusions**—correlations between isolation and inceldom need further research.
--
--3. **Suggestions for Improvement:**
--   - Future studies should **compare incel forum users vs. non-users**.
--   - Investigate **potential intervention strategies** for social integration.
--
-----
--
--## **Relevance to Subproject**
--- Highlights **mental health vulnerabilities** within the incel community.
--- Supports research on **loneliness, attachment styles, and social dominance orientation**.
--- Examines how **peer rejection influences self-perceived mate value**.
--
-----
--
--## **Suggestions for Further Exploration**
--1. Explore how **online community participation** affects incel mental health.
--2. Investigate **cognitive biases** influencing self-perceived rejection among incels.
--3. Assess **therapeutic interventions** to address incel social isolation.
--
-----
--
--## **Summary of Research Study**
--This study examines the **psychological characteristics of self-identified incels**, comparing them with non-incel men in terms of **mental health, loneliness, and coping strategies**. The research found **higher depression, anxiety, and avoidant attachment styles among incels**, as well as **greater reliance on solitary coping mechanisms**. It suggests that **lack of social support plays a critical role in exacerbating incel identity and related mental health concerns**.
--
--This summary provides an accessible, at-a-glance overview of the study’s contributions. Please refer to the full paper for in-depth analysis.
--
-----
--
--## **📄 Download Full Study**
--[[Download Full Study>>attach:10.1007_s12144-023-04275-z.pdf]]
--
--{{/expand}}
--
--{{html}}<hr style="border: 3px solid red;">{{/html}}
--
--{{expand title="Study: Associations Between Cannabis Use and Mental Health Symptoms in Young Adults" expanded="false"}} Source: Addictive Behaviors
--Date of Publication: 2016
--Author(s): Andrea Hussong, Christy Capron, Gregory T. Smith, Jennifer L. Maggs
--Title: "Associations Between Cannabis Use and Mental Health Symptoms in Young Adults"
--DOI: 10.1016/j.addbeh.2016.02.030
--Subject Matter: Substance Use, Mental Health, Adolescent Development
--
--Key Statistics
--General Observations:
--
--Study examined cannabis use trends in young adults over time.
--Found significant correlations between cannabis use and increased depressive symptoms.
--Subgroup Analysis:
--
--Males exhibited higher rates of cannabis use, but females reported stronger mental health impacts.
--Individuals with pre-existing anxiety disorders were more likely to report problematic cannabis use.
--Other Significant Data Points:
--
--Frequent cannabis users showed a 23% higher likelihood of developing anxiety symptoms.
--Co-occurring substance use (e.g., alcohol) exacerbated negative psychological effects.
--Findings
--Primary Observations:
--
--Cannabis use was linked to higher depressive and anxiety symptoms, particularly in frequent users.
--Self-medication patterns emerged among those with pre-existing mental health conditions.
--Subgroup Trends:
--
--Early cannabis initiation (before age 16) was associated with greater mental health risks.
--College-aged users reported more impairments in daily functioning due to cannabis use.
--Specific Case Analysis:
--
--Participants with a history of childhood trauma were twice as likely to develop problematic cannabis use.
--Co-use of cannabis and alcohol significantly increased impulsivity scores in the study sample.
--Critique and Observations
--Strengths of the Study:
--
--Large, longitudinal dataset with a diverse sample of young adults.
--Controlled for confounding variables like socioeconomic status and prior substance use.
--Limitations of the Study:
--
--Self-reported cannabis use may introduce bias in reported frequency and effects.
--Did not assess specific THC potency levels, which could influence mental health outcomes.
--Suggestions for Improvement:
--
--Future research should investigate dose-dependent effects of cannabis on mental health.
--Assess long-term psychological outcomes of early cannabis exposure.
--Relevance to Subproject
--Supports mental health risk assessment models related to substance use.
--Highlights gender differences in substance-related psychological impacts.
--Provides insight into self-medication behaviors among young adults.
--Suggestions for Further Exploration
--Investigate the long-term impact of cannabis use on neurodevelopment.
--Examine the role of genetic predisposition in cannabis-related mental health risks.
--Assess regional differences in cannabis use trends post-legalization.
--Summary of Research Study
--This study examines the relationship between cannabis use and mental health symptoms in young adults, focusing on depressive and anxiety-related outcomes. Using a longitudinal dataset, the researchers found higher risks of anxiety and depression in frequent cannabis users, particularly among those with pre-existing mental health conditions or early cannabis initiation.
--
--This summary provides an accessible, at-a-glance overview of the study’s contributions. Please refer to the full paper for in-depth analysis.
--
--📄 Download Full Study
--[[Download Full Study>>attach:10.1016_j.addbeh.2016.02.030.pdf]]
--
--{{/expand}}
--
--{{html}}<hr style="border: 3px solid red;">{{/html}}
--
--{{expand title="Study: Is there a Dysgenic Secular Trend Towards Slowing Simple Reaction Time?" expanded="false"}}
--**Source:** *Intelligence (Elsevier)*
--**Date of Publication:** *2014*
--**Author(s):** *Michael A. Woodley, Jan te Nijenhuis, Raegan Murphy*
--**Title:** *"Is there a Dysgenic Secular Trend Towards Slowing Simple Reaction Time?"*
--**DOI:** [10.1016/j.intell.2014.05.012](https://doi.org/10.1016/j.intell.2014.05.012)
--**Subject Matter:** *Cognitive Decline, Intelligence, Dysgenics*
--
-----
--
--## **Key Statistics**
--1. **General Observations:**
--   - The study examines reaction time data from **13 age-matched studies** spanning **1884–2004**.
--   - Results suggest an estimated **decline of 13.35 IQ points** over this period.
--
--2. **Subgroup Analysis:**
--   - The study found **slower reaction times in modern populations** compared to Victorian-era individuals.
--   - Data from **Western countries (US, UK, Canada, Australia, Finland)** were analyzed.
--
--3. **Other Significant Data Points:**
--   - The estimated **dysgenic rate is 1.21 IQ points lost per decade**.
--   - Meta-regression analysis confirmed a **steady secular trend in slowing reaction time**.
--
-----
--
--## **Findings**
--1. **Primary Observations:**
--   - Supports the hypothesis of **intelligence decline due to genetic and environmental factors**.
--   - Reaction time, a **biomarker for cognitive ability**, has slowed significantly over time.
--
--2. **Subgroup Trends:**
--   - A stronger **correlation between slower reaction time and lower general intelligence (g)**.
--   - Flynn effect (IQ gains) does not contradict this finding, as reaction time is a **biological, not environmental, measure**.
--
--3. **Specific Case Analysis:**
--   - Cross-national comparisons indicate a **global trend in slower reaction times**.
--   - Factors like **modern neurotoxin exposure** and **reduced selective pressure for intelligence** may contribute.
--
-----
--
--## **Critique and Observations**
--1. **Strengths of the Study:**
--   - **Comprehensive meta-analysis** covering over a century of reaction time data.
--   - **Robust statistical corrections** for measurement variance between historical and modern studies.
--
--2. **Limitations of the Study:**
--   - Some historical data sources **lack methodological consistency**.
--   - **Reaction time measurements vary by study**, requiring adjustments for equipment differences.
--
--3. **Suggestions for Improvement:**
--   - Future studies should **replicate results with more modern datasets**.
--   - Investigate **alternative cognitive biomarkers** for intelligence over time.
--
-----
--
--## **Relevance to Subproject**
--- Provides evidence for **long-term intelligence trends**, contributing to research on **cognitive evolution**.
--- Aligns with broader discussions on **dysgenics, neurophysiology, and cognitive load**.
--- Supports the argument that **modern societies may be experiencing intelligence decline**.
--
-----
--
--## **Suggestions for Further Exploration**
--1. Investigate **genetic markers associated with reaction time** and intelligence decline.
--2. Examine **regional variations in reaction time trends**.
--3. Explore **cognitive resilience factors that counteract the decline**.
--
-----
--
--## **Summary of Research Study**
--This study examines **historical reaction time data** as a measure of **cognitive ability and intelligence decline**, analyzing data from **Western populations between 1884 and 2004**. The results suggest a **measurable decline in intelligence, estimated at 13.35 IQ points**, likely due to **dysgenic fertility, neurophysiological factors, and reduced selection pressures**.
--
--This summary provides an accessible, at-a-glance overview of the study’s contributions. Please refer to the full paper for in-depth analysis.
--
-----
--
--## **📄 Download Full Study**
--[[Download Full Study>>attach:10.1016_j.intell.2014.05.012.pdf]]
--
--{{/expand}}
--
--{{html}}<hr style="border: 3px solid red;">{{/html}}
--
--

10.1891_1946.pdf

Author

...	...	@@ -1,1 +1,0 @@
1		-XWiki.AdminAngriff

Size

...	...	@@ -1,1 +1,0 @@
1		-523.1 KB

Content

10.3109_10826087709027235.pdf

Author

...	...	@@ -1,1 +1,0 @@
1		-XWiki.AdminAngriff

Size

...	...	@@ -1,1 +1,0 @@
1		-698.4 KB

Content

Banas et al. - 2020 - Meta-Analysis on Mediated Contact and Prejudice.pdf

Author

...	...	@@ -1,0 +1,1 @@
	1	+XWiki.AdminAngriff

Size

...	...	@@ -1,0 +1,1 @@
	1	+472.9 KB

Content

Cultural Voyeurism A New Framework for Understanding Race, Ethnicity, and Mediated Intergroup Intera.pdf

Author

...	...	@@ -1,0 +1,1 @@
	1	+XWiki.AdminAngriff

Size

...	...	@@ -1,0 +1,1 @@
	1	+103.1 KB

Content

lai2014.pdf

Author

...	...	@@ -1,0 +1,1 @@
	1	+XWiki.AdminAngriff

Size

...	...	@@ -1,0 +1,1 @@
	1	+15.4 MB

Content

lenk-et-al-white-americans-preference-for-black-people-in-advertising-has-increased-in-the-past-66-years-a-meta-analysis.pdf

Author

...	...	@@ -1,0 +1,1 @@
	1	+XWiki.AdminAngriff

Size

...	...	@@ -1,0 +1,1 @@
	1	+2.1 MB

Content