Research Critique: The Research Critique Consists Of Reading

Research Critique the Research Critique Consists Of Reading Three Resea

The research critique requires analyzing three specific research studies. For each article, you must identify the research design, specify the data used in analysis, describe the sampling procedure, determine the dependent variable, present the key findings, and discuss at least three limitations of the study with detailed explanations. Your responses should be typed in 12-point font, single-spaced, and written in an essay format. The explanations should be comprehensive enough to evaluate each aspect thoroughly, assuming the reader has no prior knowledge of research methodology.

Paper For Above instruction

The task involves critically reviewing three scholarly articles within the behavioral sciences, each focusing on different aspects of policy impact and safety programs. This process demands a nuanced understanding of research methodologies, data analysis, and validity considerations. Clearly identifying research design types, data sources, sampling methods, outcome variables, key findings, and limitations provides a thorough understanding of each study's strengths and weaknesses. Such critique is essential for advancing evidence-based policy and practice, ensuring research findings are valid, reliable, and applicable in real-world contexts.

Article 1: Guerette (2007) – Immigration Policy, Border Security, and Migrant Deaths

Guerette's (2007) study employed a quasi-experimental design, specifically a pre-post evaluation approach, to assess the impact of the Border Safety Initiative on migrant deaths along U.S. borders. The analysis utilized secondary data from official criminal justice and border security agencies documenting migrant deaths and border patrol activities. The data comprised records of migrant fatalities before and after the implementation of the initiative, allowing for temporal comparison.

The sampling procedure was based on available official data sources rather than probability sampling. This involved collecting all recorded migrant death incidents within the specified period, thus assuming comprehensive coverage of the relevant data. The dependent variable was the number of migrant deaths, measured annually across different border regions.

The key findings indicated that increased life-saving measures such as rescue efforts and technology deployment correlated with a significant reduction in migrant deaths, although the effect varied across regions. Overall, the initiative appeared effective in saving lives, emphasizing the importance of targeted interventions during border enforcement.

Limitations of Guerette’s study include potential threats to internal validity due to unmeasured confounding variables such as migration patterns or external safety factors. The reliance on secondary data raises concerns about data accuracy and completeness, impacting reliability. Additionally, the non-randomized design limits causal inference, and the regional variability in enforcement efforts might bias the results, making it difficult to generalize findings universally.

Article 2: Kovandzic, Sloan, and Vieraitis (2004) – Impact of ‘Three Strikes’ Laws

This study used a quasi-experimental design employing a difference-in-differences approach. The data included crime rates obtained from FBI Uniform Crime Reporting (UCR) Program across multiple U.S. cities, pre- and post-implementation of 'Three Strikes' laws. The analysis focused on comparative city-level crime trends over time to evaluate policy impact.

The sampling procedure involved selecting a sample of cities that enacted 'Three Strikes' laws and comparable control cities that did not, ensuring a mix of jurisdictions with similar characteristics. The key data used were city-level crime statistics, such as violent and property crime rates, which served as the dependent variables.

The main findings showed no statistically significant reduction in overall crime rates attributable to the laws, casting doubt on their effectiveness as crime deterrents. Some reductions were observed in specific categories but lacked consistency across different cities and crime types.

Limitations include potential threats to internal validity from unmeasured factors such as local policing practices or economic conditions that could influence crime trends independently of the laws. Construct validity may be compromised if crime data from the UCR are underreported or inconsistent across jurisdictions. The non-random assignment of laws and reliance on observational data challenge causal claims. External validity might be limited due to differences in demographic and socio-economic factors that vary by city.

Article 3: D’Alessio, Stolzenberg, and Terry (1999) – Tennessee’s Emergency Cellular Telephone Program

This research employed a quasi-experimental design utilizing a time-series approach to analyze the impact of the cellular telephone program on alcohol-related fatal crashes. The data comprised crash records from transportation safety agencies, covering periods before and after program implementation in Tennessee.

The sampling employed involved collecting all relevant crash data within the state during the specified timeline, thus using comprehensive data rather than a sampling procedure per se. The dependent variable was the number of alcohol-related fatal crashes reported annually.

The study found that the implementation of the emergency cellular telephone program was associated with a significant decline in alcohol-related fatal crashes, suggesting improved response times or increased safety awareness contributed to reduced fatalities.

Limitations of this study include threats related to external validity, as findings specific to Tennessee may not generalize to other regions with different traffic safety infrastructures. Reliability concerns stem from potential inaccuracies in crash reporting or classification of alcohol intoxication. Internal validity could be threatened by concurrent interventions or policy changes not accounted for in the analysis. Additionally, the study's observational nature limits causal inference, as other factors could have contributed to the reduction in crashes.

References

• Guerette, R. T. (2007). Immigration Policy, Border Security and Migrant Deaths: An Impact Evaluation of Life Saving Efforts under the Border Safety Initiative. Criminology & Public Policy, 6(2), 363-386.
• Kovandzic, T., Sloan, J., & Vieraitis, L. (2004). 'Striking Out' as Crime Reduction Policy: The Impact of ‘Three Strikes’ Laws on Crime Rates in U.S. Cities. Justice Quarterly, 21(2), 341-369.
• D’Alessio, S., Stolzenberg, L., & Terry, W. C. III. (1999). ‘Eyes on the Street’: The Impact of Tennessee’s Emergency Cellular Telephone Program on Alcohol-related Fatal Crashes. Crime & Delinquency, 45(4), 481–496.
• Wowk, B., & Jackson, M. (2005). Policy Evaluation: Methods and Case Studies. Routledge.
• Sanford, B. (2010). Evaluating Social Programs: A Practical Guide. Sage Publications.
• Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and Quasi-Experimental Designs for Generalized Causal Inference. Houghton Mifflin.
• Levin, H. M., & McEwan, P. J. (2001). Cost-Effectiveness Analysis: Methods and Applications. Sage Publications.
• Robinson, J. P., & Shaver, K. G. (2018). Data Collection and Analysis in Policy Research. Policy Press.
• Gordon, T., & Garber, J. (2004). Crime Analysis and Prevention Strategies. Springer.
• Farrington, D. P. (2012). Criminology, Crime Control, and Social Policy. Routledge.