Research Logic Model Final

Revise your research logic model based on your meeting with Professor and comments on your assignment. Submit the final version of your Research Logic Model here.

Table 2. Research Questions: Logic Model

Research Question	Data Collection Phase	Analysis
What are contemporary conservative policy goals regarding diversity, equity, and inclusion or DEI?	1	QCA
1) How do these contemporary conservative policies reconcile the reversal of civil rights with larger democratic values of equality and fairness?	1	QCA
2) What are professionals perceptions of the impact of anti-DEI policies on the work they do?	2 (Survey) 3 (Interview)	Thematic analysis Descriptive statistics (correlations)
3) How does the proliferation of anti-DEI policies impact professionals perceptions of their work environment?	2 (Survey) 3 (Interview)	Thematic analysis Descriptive statistics (correlations)
4) How do anti-DEI policies influence administrative practices?	2 (Survey) 3 (Interview)	Thematic analysis
5) How has the proliferation of anti-DEI policies shaped professionals perceptions of their future in their career?	2 (Survey) 3 (Interview)	Thematic analysis

*Excerpt from King-Jupiter et. al. (2025). The Impact of anti-DEI Policies on Professional Practice. Unpublished paper.

A Research Logic Model is a diagrammed program that can be used to transform the activities and the desired outcome of a program into researchable questions. It operates concurrently with the Program Logic Model to ensure that the process of evaluation is stringent, ordered, and connected directly to the objectives that the program is supposed to accomplish. Whereas the Program Logic Model diagrams what the program does and what it hopes to achieve, the Research Logic Model defines how the achievements will be measured, by what data, with what analysis techniques, and at what stage of the data collection (McDavid et al., 2019).

Professor Comments:

Good statement

This Research Logic Model is created to inform the program evaluation of the Foster Care Family Recruitment and Retention Program of the South Carolina Department of Social Services (SCDSS). This program became known through collaborating with the field placement supervisor as one of the high-priority programs that needs a systematic assessment. The program plays an imperative role in child welfare: it recruits, educates, licenses, and counsels foster families that give temporary and permanent care to children in state custody (Font & Gershoff, 2020). The agency does not have a formal system for tearning what recruitment approaches are

Professor Comments:

Edit your writing. Program evaluations are written for a broader audience. Use succinct language that is clear in its description.
Be more intentional with word choice so the meaning is clear.

discriminates the existing data sources

Professor Comments:

Research Questions

Professor Comments:

This is a semester long project. So these are too many questions to attempt to answer. Think

Numbers (quantitative data, conversion rates, demographic data in a category)

Professor Comments:

List the type of data that will be used. Be specific. Number of families trained, number of families trained in comparison to the number of homes licensed. Be very specific about what type (what variables) will be used. What can you access?

Trend analysis of 12 months cycle.

Professor Comments:

You need to establish a baseline. This needs to include an analysis of the past 3-5 years and then moving forward after the programs were implemented.

Outcomes: Short-term: More licensed foster homes. Production Goal: 75 licensed houses annually.

Professor Comments:

Are they interested in having more licensed foster care placements and/or the quality of the placements that result in long term care?

Research Question 2: What is the effect of the quality of pre-service training on skill development and confidence of foster parents!

Professor Comments:

You would need to operationalize confidence of the foster parents. Look at the data they have collected. What questions can you answer?

Mixed data
Quantitative (retention rates, service period)
Qualitative (exit interview stories, case notes)

Professor Comments:

What data do they already collect that would allow you to answer this question?

Overall Professor Comment:

Review comments. Reduce the overall number of questions. Think about what data they already collect and what questions you can answer with that existing data.

WRITE MY PAPER

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