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Brief Description of My Hypothetical Dataset For this evaluation, I created a small hypothetical dataset using the CANS – Trauma Version as the primary outcome measure. The dataset represents 20 youth enrolled in the CHANCE program, all of whom have experienced commercial sexual exploitation or high levels of trauma exposure. The CANS – Trauma Version was chosen because it captures emotional, behavioral, social, and resilience-related needs in a way that aligns with the trauma-informed, strengths-based model used by the National Youth Advocate Program (n.d.) and with a logic model approach to program evaluation (Fink, 2015). In this dataset, each youth has a unique ID and basic demographic information (age and gender), as well as pre- and post-intervention CANS scores. I focused on two primary subscales that connect directly to the CHANCE program’s goals: (1) Traumatic Stress Needs and (2) Resilience/Strengths. Each of these subscales is based on several CANS items scored on the standard 0–3 scale (0 = no need / strong strength, 3 = highest need / no strength). Variables in the dataset include: ID – Numeric code for each youth (1–20). Age – Age in years (e.g., 13–17). Gender – Coded as 1 = girl, 2 = boy, 3 = nonbinary/other. Trauma_Need_Pre – Sum of 6 traumatic stress items at intake (each 0–3; possible range 0–18), where higher scores indicate greater trauma-related need. Trauma_Need_Post – Sum of the same six items after 6 months of CHANCE services, using the same 0–18 range. Resilience_Strength_Pre – Sum of 5 strength items at intake, recoded so higher scores indicate more strengths (possible range 0–15). Resilience_Strength_Post – Sum of the same 5 strength items after 6 months, also 0–15, with higher scores reflecting greater resilience/strengths. For scoring, each CANS clinical/need item is first rated on a 0–3 scale. The Trauma_Need subscale score is calculated by summing the 6 trauma-related items, where a rating of 2 or 3 reflects an “actionable” need. For strengths items, the original CANS codes are reversed for analysis so that higher numbers consistently represent more strength rather than less. After reverse-coding, the Resilience_Strength subscale is the sum of the 5 recoded items. In the hypothetical data, the general pattern is that Trauma_Need scores decrease from pre to post, while Resilience_Strength scores increase, reflecting the expected positive impact of the CHANCE program over time. Analysis of Descriptive Statistics The descriptive statistics show that the hypothetical sample of 10 CHANCE program youth generally reflects moderate trauma-related needs at intake, with Trauma_Need_Pre scores centered around the low-to-mid teens and showing improvement at post-test, where the mean drops noticeably. Resilience scores also increase from pre to post, suggesting gains in strengths such as coping, support, and emotional regulation. Age ranges appear typical for the program’s target population (13–17), and the gender distribution includes girls, boys, and one nonbinary participant, reflecting the diverse realities of the youth served. There are no unusual values, outliers, or missing data in this small dataset; all scores fall within expected CANS scoring ranges and align with a realistic pattern of gradual improvement following trauma-informed services. RSM 816 - Week 5 Descriptive Statistics.pdf References Fink, A. (2015). Evaluation fundamentals: Insights into program effectiveness, quality, and value (3rd ed.). Sage. National Youth Advocate Program. (n.d.). CHANCE (Florida): Citrus Helping Adolescents Negatively Impacted by Commercial Exploitation (CHANCE). Retrieved October 31, 2025, from https://www.nyap.org/florida/chance.
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