100-101
Longitudinal Studies
Longitudinal studies involve observing subjects over an extended time period.
Example: Researchers conducting interviews with the same group every six months for five years.
Other examples include evaluating changes in crime reports or prison inmate numbers over time.
Types of Longitudinal Studies
Trend Studies: Focus on changes within a general population over time.
Example: Comparing FBI Uniform Crime Report figures from 1960 to 2010, analyzing crime increases and decreases.
Trends can also examine how changes in laws affect imprisonment rates.
Cohort Studies: Examine specific populations (or cohorts) and their changes over time.
Cohorts can be defined by age, such as people born during the 1990s.
Example: Wolfgang et al. (1972) studied all males born in 1945 in Philadelphia, tracking delinquency and school performance.
Panel Studies: Involve repeated observations on the same subjects over time.
Example: The National Crime Victimization Survey (NCVS) interviews households multiple times to assess crime victimization rates.
Panel studies are useful for evaluating program effectiveness by comparing similar subjects before and after intervention.
Challenges of Longitudinal Studies
Longitudinal studies can be costly and complicated to conduct.
Panel attrition is a notable issue where participants may drop out over time, potentially skewing results and affecting conclusions about treatment effectiveness.
Approximating Longitudinal Studies
Longitudinal conclusions may still be drawn from cross-sectional data using logical reasoning.
Example: Gun Ownership and Violence Study
Research by Martin Killias (1993) compared gun ownership rates to gun-related violence.
Distinction in interpretability: Causation in gun suicides is clearer than in gun homicides.
Example analysis highlights reliance on available data to infer potential causal relationships.
Retrospective and Prospective Studies
Retrospective Research: Involves recalling past experiences or behaviors.
Example: Studying recidivism by examining the delinquency history of current prison inmates.
Caution: Memory faults and incomplete records can undermine findings.
Selection bias is a significant risk, on how participants are chosen can impact conclusions.
Example of investigating intergenerational violence by analyzing backgrounds of child abuse victims in court settings.
Hypothesis examination on the transmission of abuse across generations based on family backgrounds, yielding a high correlation with past abuse among parents.