Transcription of Interrupted Time Series Analysis Using STATA* Professor ...
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Interrupted Time Series Analysis Using STATA* Professor ...
1 Interrupted Time Series Analysis Using STATA* Professor Nicholas Corsaro School of Criminal Justice University of Cincinnati *Lecture Presented at the Justice Research Statistics Association (JRSA) Conference, Denver, CO. 2 Introduction: As a starting framework, let s consider our understanding of research designs. We want to test whether (and to what extent) some social mechanism ( , intervention or policy) influences an outcome of interest. A highly important CJ example, does police officer presence influence crime and disorder in hotspots? The Minneapolis and Kansas City patrol (replication) experimental designs showed us that indeed police officer presence corresponds with a reduction in crime and disorder. The researchers used an experimental design to assess police program impact.
2 – Maximum Likelihood Time Series Analysis (Poisson and Negative Binomial Regression) Each of these approaches has strengths and limitations – based on assumptions of the models. But, before we go into detail for these models, let’s review how to open, operate and designate longitudinal data in STATA.
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