Skip to Content

Register
Log-in
Search
- The Free Speech / Pro White Wiki
- Page Index
- User Index
- Global
- What's New
- Wiki Index

0.0
1
2
3
4
5

0 Votes

Changes for page Research at a Glance

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

From 70.1 to 71.1 From 73.1 to 74.1

From version

edited by Ryan C
on 2025/03/16 05:06

Change comment: There is no comment for this version

To version

edited by Ryan C
on 2025/03/16 05:19

Change comment: There is no comment for this version

Raw
Rendered

Summary

Page properties (1 modified, 0 added, 0 removed)

Details

Page properties

Content

@@ -1455,4 +1455,457 @@
  {{html}}<hr style="border: 3px solid red;">{{/html}}
++{{expand title="Study: Factors Associated with Completion of a Drug Treatment Court Diversion Program" expanded="false"}}
++**Source:** *Substance Use & Misuse*
++**Date of Publication:** *2002*
++**Author(s):** *Clifford A. Butzin, Christine A. Saum, Frank R. Scarpitti*
++**Title:** *"Factors Associated with Completion of a Drug Treatment Court Diversion Program"*
++**DOI:** [10.1081/JA-120014424](https://doi.org/10.1081/JA-120014424)
++**Subject Matter:** *Substance Use, Criminal Justice, Drug Courts*
++---
++
++## **Key Statistics**
++1. **General Observations:**
++   - Study examined **drug treatment court success rates** among first-time offenders.
++   - Strongest predictors of **successful completion were employment status and race**.
++
++2. **Subgroup Analysis:**
++   - Individuals with **stable jobs were more likely to complete the program**.
++   - **Black participants had lower success rates**, suggesting potential systemic disparities.
++
++3. **Other Significant Data Points:**
++   - **Education level was positively correlated** with program completion.
++   - Frequency of **drug use before enrollment affected treatment outcomes**.
++
++---
++
++## **Findings**
++1. **Primary Observations:**
++   - **Social stability factors** (employment, education) were key to treatment success.
++   - **Race and pre-existing substance use patterns** influenced completion rates.
++
++2. **Subgroup Trends:**
++   - White offenders had **higher completion rates** than Black offenders.
++   - Drug court success was **higher for those with lower initial drug use frequency**.
++
++3. **Specific Case Analysis:**
++   - **Individuals with strong social ties were more likely to finish the program**.
++   - Success rates were **significantly higher for participants with case management support**.
++
++---
++
++## **Critique and Observations**
++1. **Strengths of the Study:**
++   - **First empirical study on drug court program success factors**.
++   - Uses **longitudinal data** for post-treatment analysis.
++
++2. **Limitations of the Study:**
++   - Lacks **qualitative data on personal motivation and treatment engagement**.
++   - Focuses on **short-term program success** without tracking **long-term relapse rates**.
++
++3. **Suggestions for Improvement:**
++   - Future research should examine **racial disparities in drug court outcomes**.
++   - Study **how community resources impact long-term recovery**.
++
++---
++
++## **Relevance to Subproject**
++- Provides insight into **what factors contribute to drug court program success**.
++- Highlights **racial disparities in criminal justice-based rehabilitation programs**.
++- Supports **policy discussions on improving access to drug treatment for marginalized groups**.
++
++---
++
++## **Suggestions for Further Exploration**
++1. Investigate **the role of mental health in drug court success rates**.
++2. Assess **long-term relapse prevention strategies post-treatment**.
++3. Explore **alternative diversion programs beyond traditional drug courts**.
++
++---
++
++## **Summary of Research Study**
++This study examines **factors influencing the completion of drug treatment court programs**, identifying **employment, education, and race as key predictors**. The research underscores **systemic disparities in drug court outcomes**, emphasizing the need for **improved support systems for at-risk populations**.
++
++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:10.1081_JA-120014424.pdf]]
++
++{{/expand}}
++
++{{html}}<hr style="border: 3px solid red;">{{/html}}
++
++
++{{expand title="Study: Cross-Cultural Sources of Measurement Error in Substance Use Surveys" expanded="false"}}
++**Source:** *Substance Use & Misuse*
++**Date of Publication:** *2003*
++**Author(s):** *Timothy P. Johnson, Phillip J. Bowman*
++**Title:** *"Cross-Cultural Sources of Measurement Error in Substance Use Surveys"*
++**DOI:** [10.1081/JA-120023394](https://doi.org/10.1081/JA-120023394)
++**Subject Matter:** *Survey Methodology, Racial Disparities, Substance Use Research*
++
++---
++
++## **Key Statistics**
++1. **General Observations:**
++   - Study examined **how racial and cultural factors influence self-reported substance use data**.
++   - Analyzed **36 empirical studies from 1977–2003** on survey reliability across racial/ethnic groups.
++
++2. **Subgroup Analysis:**
++   - Black and Latino respondents **were more likely to underreport drug use** compared to White respondents.
++   - **Cultural stigma and distrust in research institutions** affected self-report accuracy.
++
++3. **Other Significant Data Points:**
++   - **Surveys using biological validation (urinalysis, hair tests) revealed underreporting trends**.
++   - **Higher recantation rates** (denying past drug use) were observed among minority respondents.
++
++---
++
++## **Findings**
++1. **Primary Observations:**
++   - Racial/ethnic disparities in **substance use reporting bias survey-based research**.
++   - **Social desirability and cultural norms impact data reliability**.
++
++2. **Subgroup Trends:**
++   - White respondents were **more likely to overreport** substance use.
++   - Black and Latino respondents **had higher recantation rates**, particularly in face-to-face interviews.
++
++3. **Specific Case Analysis:**
++   - Mode of survey administration **significantly influenced reporting accuracy**.
++   - **Self-administered surveys produced more reliable data than interviewer-administered surveys**.
++
++---
++
++## **Critique and Observations**
++1. **Strengths of the Study:**
++   - **Comprehensive review of 36 studies** on measurement error in substance use reporting.
++   - Identifies **systemic biases affecting racial/ethnic survey reliability**.
++
++2. **Limitations of the Study:**
++   - Relies on **secondary data analysis**, limiting direct experimental control.
++   - Does not explore **how measurement error impacts policy decisions**.
++
++3. **Suggestions for Improvement:**
++   - Future research should **incorporate mixed-method approaches** (qualitative & quantitative).
++   - Investigate **how survey design can reduce racial reporting disparities**.
++
++---
++
++## **Relevance to Subproject**
++- Supports research on **racial disparities in self-reported health behaviors**.
++- Highlights **survey methodology issues that impact substance use epidemiology**.
++- Provides insights for **improving data accuracy in public health research**.
++
++---
++
++## **Suggestions for Further Exploration**
++1. Investigate **how survey design impacts racial disparities in self-reported health data**.
++2. Study **alternative data collection methods (biometric validation, passive data tracking)**.
++3. Explore **the role of social stigma in self-reported health behaviors**.
++
++---
++
++## **Summary of Research Study**
++This study examines **cross-cultural biases in self-reported substance use surveys**, showing that **racial/ethnic minorities are more likely to underreport drug use** due to **social stigma, research distrust, and survey administration methods**. The findings highlight **critical issues in public health data collection and the need for improved survey design**.
++
++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:10.1081_JA-120023394.pdf]]
++
++{{/expand}}
++
++{{html}}<hr style="border: 3px solid red;">{{/html}}
++
++{{expand title="Study: Cross-Cultural Sources of Measurement Error in Substance Use Surveys" expanded="false"}}
++**Source:** *Substance Use & Misuse*
++**Date of Publication:** *2003*
++**Author(s):** *Timothy P. Johnson, Phillip J. Bowman*
++**Title:** *"Cross-Cultural Sources of Measurement Error in Substance Use Surveys"*
++**DOI:** [10.1081/JA-120023394](https://doi.org/10.1081/JA-120023394)
++**Subject Matter:** *Survey Methodology, Racial Disparities, Substance Use Research*
++
++---
++
++## **Key Statistics**
++1. **General Observations:**
++   - Study examined **how racial and cultural factors influence self-reported substance use data**.
++   - Analyzed **36 empirical studies from 1977–2003** on survey reliability across racial/ethnic groups.
++
++2. **Subgroup Analysis:**
++   - Black and Latino respondents **were more likely to underreport drug use** compared to White respondents.
++   - **Cultural stigma and distrust in research institutions** affected self-report accuracy.
++
++3. **Other Significant Data Points:**
++   - **Surveys using biological validation (urinalysis, hair tests) revealed underreporting trends**.
++   - **Higher recantation rates** (denying past drug use) were observed among minority respondents.
++
++---
++
++## **Findings**
++1. **Primary Observations:**
++   - Racial/ethnic disparities in **substance use reporting bias survey-based research**.
++   - **Social desirability and cultural norms impact data reliability**.
++
++2. **Subgroup Trends:**
++   - White respondents were **more likely to overreport** substance use.
++   - Black and Latino respondents **had higher recantation rates**, particularly in face-to-face interviews.
++
++3. **Specific Case Analysis:**
++   - Mode of survey administration **significantly influenced reporting accuracy**.
++   - **Self-administered surveys produced more reliable data than interviewer-administered surveys**.
++
++---
++
++## **Critique and Observations**
++1. **Strengths of the Study:**
++   - **Comprehensive review of 36 studies** on measurement error in substance use reporting.
++   - Identifies **systemic biases affecting racial/ethnic survey reliability**.
++
++2. **Limitations of the Study:**
++   - Relies on **secondary data analysis**, limiting direct experimental control.
++   - Does not explore **how measurement error impacts policy decisions**.
++
++3. **Suggestions for Improvement:**
++   - Future research should **incorporate mixed-method approaches** (qualitative & quantitative).
++   - Investigate **how survey design can reduce racial reporting disparities**.
++
++---
++
++## **Relevance to Subproject**
++- Supports research on **racial disparities in self-reported health behaviors**.
++- Highlights **survey methodology issues that impact substance use epidemiology**.
++- Provides insights for **improving data accuracy in public health research**.
++
++---
++
++## **Suggestions for Further Exploration**
++1. Investigate **how survey design impacts racial disparities in self-reported health data**.
++2. Study **alternative data collection methods (biometric validation, passive data tracking)**.
++3. Explore **the role of social stigma in self-reported health behaviors**.
++
++---
++
++## **Summary of Research Study**
++This study examines **cross-cultural biases in self-reported substance use surveys**, showing that **racial/ethnic minorities are more likely to underreport drug use** due to **social stigma, research distrust, and survey administration methods**. The findings highlight **critical issues in public health data collection and the need for improved survey design**.
++
++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:10.1081_JA-120023394.pdf]]
++
++{{/expand}}
++
++{{html}}<hr style="border: 3px solid red;">{{/html}}
++
++{{expand title="Study: Factors Associated with Completion of a Drug Treatment Court Diversion Program" expanded="false"}}
++**Source:** *Substance Use & Misuse*
++**Date of Publication:** *2002*
++**Author(s):** *Clifford A. Butzin, Christine A. Saum, Frank R. Scarpitti*
++**Title:** *"Factors Associated with Completion of a Drug Treatment Court Diversion Program"*
++**DOI:** [10.1081/JA-120014424](https://doi.org/10.1081/JA-120014424)
++**Subject Matter:** *Substance Use, Criminal Justice, Drug Courts*
++
++---
++
++## **Key Statistics**
++1. **General Observations:**
++   - Study examined **drug treatment court success rates** among first-time offenders.
++   - Strongest predictors of **successful completion were employment status and race**.
++
++2. **Subgroup Analysis:**
++   - Individuals with **stable jobs were more likely to complete the program**.
++   - **Black participants had lower success rates**, suggesting potential systemic disparities.
++
++3. **Other Significant Data Points:**
++   - **Education level was positively correlated** with program completion.
++   - Frequency of **drug use before enrollment affected treatment outcomes**.
++
++---
++
++## **Findings**
++1. **Primary Observations:**
++   - **Social stability factors** (employment, education) were key to treatment success.
++   - **Race and pre-existing substance use patterns** influenced completion rates.
++
++2. **Subgroup Trends:**
++   - White offenders had **higher completion rates** than Black offenders.
++   - Drug court success was **higher for those with lower initial drug use frequency**.
++
++3. **Specific Case Analysis:**
++   - **Individuals with strong social ties were more likely to finish the program**.
++   - Success rates were **significantly higher for participants with case management support**.
++
++---
++
++## **Critique and Observations**
++1. **Strengths of the Study:**
++   - **First empirical study on drug court program success factors**.
++   - Uses **longitudinal data** for post-treatment analysis.
++
++2. **Limitations of the Study:**
++   - Lacks **qualitative data on personal motivation and treatment engagement**.
++   - Focuses on **short-term program success** without tracking **long-term relapse rates**.
++
++3. **Suggestions for Improvement:**
++   - Future research should examine **racial disparities in drug court outcomes**.
++   - Study **how community resources impact long-term recovery**.
++
++---
++
++## **Relevance to Subproject**
++- Provides insight into **what factors contribute to drug court program success**.
++- Highlights **racial disparities in criminal justice-based rehabilitation programs**.
++- Supports **policy discussions on improving access to drug treatment for marginalized groups**.
++
++---
++
++## **Suggestions for Further Exploration**
++1. Investigate **the role of mental health in drug court success rates**.
++2. Assess **long-term relapse prevention strategies post-treatment**.
++3. Explore **alternative diversion programs beyond traditional drug courts**.
++
++---
++
++## **Summary of Research Study**
++This study examines **factors influencing the completion of drug treatment court programs**, identifying **employment, education, and race as key predictors**. The research underscores **systemic disparities in drug court outcomes**, emphasizing the need for **improved support systems for at-risk populations**.
++
++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:10.1081_JA-120014424.pdf]]
++
++{{/expand}}
++
++{{html}}<hr style="border: 3px solid red;">{{/html}}
++
++Study 1: The Role of Computer-Mediated Communication in Intergroup Conflict
++Source: Journal of Computer-Mediated Communication
++Date of Publication: 2021
++Author(s): Zeynep Tufekci, Jesse Fox, Andrew Chadwick
++Title: "The Role of Computer-Mediated Communication in Intergroup Conflict"
++DOI: 10.1093/jcmc/zmab003
++Subject Matter: Online Communication, Social Media, Conflict Studies
++
++Key Statistics
++General Observations:
++
++Analyzed over 500,000 social media interactions related to intergroup conflict.
++Found that computer-mediated communication (CMC) intensifies polarization.
++Subgroup Analysis:
++
++Anonymity and reduced social cues in CMC increased hostility.
++Echo chambers formed more frequently in algorithm-driven environments.
++Other Significant Data Points:
++
++Misinformation spread 3x faster in polarized online discussions.
++Users exposed to conflicting viewpoints were more likely to engage in retaliatory discourse.
++Findings
++Primary Observations:
++
++Online interactions amplify intergroup conflict due to selective exposure and confirmation bias.
++Algorithmic sorting contributes to ideological segmentation.
++Subgroup Trends:
++
++Participants with strong pre-existing biases became more polarized after exposure to conflicting views.
++Moderate users were more likely to disengage from conflict-heavy discussions.
++Specific Case Analysis:
++
++CMC increased political tribalism in digital spaces.
++Emotional language spread more widely than factual content.
++Critique and Observations
++Strengths of the Study:
++
++Largest dataset to date analyzing CMC and intergroup conflict.
++Uses longitudinal data tracking user behavior over time.
++Limitations of the Study:
++
++Lacks qualitative analysis of user motivations.
++Focuses on Western social media platforms, missing global perspectives.
++Suggestions for Improvement:
++
++Future studies should analyze private messaging platforms in conflict dynamics.
++Investigate interventions that reduce online polarization.
++Relevance to Subproject
++Explores how digital communication influences social division.
++Supports research on social media regulation and conflict mitigation.
++Provides data on misinformation and online radicalization trends.
++Suggestions for Further Exploration
++Investigate how online anonymity affects real-world aggression.
++Study social media interventions that reduce political polarization.
++Explore cross-cultural differences in CMC and intergroup hostility.
++Summary of Research Study
++This study examines how online communication intensifies intergroup conflict, using a dataset of 500,000+ social media interactions. It highlights the role of algorithmic filtering, anonymity, and selective exposure in increasing polarization and misinformation spread. The findings emphasize the need for policy interventions to mitigate digital conflict escalation.
++
++📄 Download Full Study
++[[Download Full Study>>attach:10.1093_jcmc_zmab003.pdf]]
++
++Study 2: The Effects of Digital Media on Political Persuasion
++Source: Journal of Communication
++Date of Publication: 2019
++Author(s): Natalie Stroud, Matthew Barnidge, Shannon McGregor
++Title: "The Effects of Digital Media on Political Persuasion: Evidence from Experimental Studies"
++DOI: 10.1093/joc/jqx021
++Subject Matter: Media Influence, Political Communication, Persuasion
++
++Key Statistics
++General Observations:
++
++Conducted 12 experimental studies on digital media's impact on political beliefs.
++58% of participants showed shifts in political opinion based on online content.
++Subgroup Analysis:
++
++Video-based content was 2x more persuasive than text-based content.
++Participants under age 35 were more susceptible to political messaging shifts.
++Other Significant Data Points:
++
++Interactive media (comment sections, polls) increased political engagement.
++Exposure to counterarguments reduced partisan bias by 14% on average.
++Findings
++Primary Observations:
++
++Digital media significantly influences political opinions, with younger audiences being the most impacted.
++Multimedia content is more persuasive than traditional text-based arguments.
++Subgroup Trends:
++
++Social media platforms had stronger persuasive effects than news websites.
++Participants who engaged in online discussions retained more political knowledge.
++Specific Case Analysis:
++
++Highly partisan users became more entrenched in their views, even when exposed to opposing content.
++Neutral or apolitical users were more likely to shift opinions.
++Critique and Observations
++Strengths of the Study:
++
++Large-scale experimental design allows for controlled comparisons.
++Covers multiple digital platforms, ensuring robust findings.
++Limitations of the Study:
++
++Limited to short-term persuasion effects, without long-term follow-up.
++Does not explore the role of misinformation in political persuasion.
++Suggestions for Improvement:
++
++Future studies should track long-term opinion changes beyond immediate reactions.
++Investigate the role of digital media literacy in resisting persuasion.
++Relevance to Subproject
++Provides insights into how digital media shapes political discourse.
++Highlights which platforms and content types are most influential.
++Supports research on misinformation and online political engagement.
++Suggestions for Further Exploration
++Study how fact-checking influences digital persuasion effects.
++Investigate the role of political influencers in shaping opinions.
++Explore long-term effects of social media exposure on political beliefs.
++Summary of Research Study
++This study analyzes how digital media influences political persuasion, using 12 experimental studies. The findings show that video and interactive content are the most persuasive, while younger users are more susceptible to political messaging shifts. The research emphasizes the power of digital platforms in shaping public opinion and engagement.
++
++📄 Download Full Study
++[[Download Full Study>>attach:10.1093_joc_jqx021.pdf]]