PROGRAM EVALUATION PLAN PART 2: THE RESEARCH DESIGN

Unit 8 Assignment 1

 

PROGRAM EVALUATION PLAN PART 2: THE RESEARCH DESIGN

 

Resources

 

Program Evaluation Plan Part 2: The Research Design Scoring Guide.

 

APA Style and Format.

 

iGuide: ePortfolio.

 

 

 

Unit 8 Assignment Template.

 

For the course project, you have been assuming the role of a consultant who has been hired to evaluate a clinical mental health counseling program that provides services in your community or region.

 

You are creating a hypothetical but plausible program with hypothetical stakeholders, clients, interventions, and measures. And you are developing plans for an evaluation that will guide program improvements and document progress toward the program’s mission and goals.

 

For this assignment in Unit 8, use the template linked in Resources to describe the evaluation design you chose, the measures of outcomes that you have selected, your data collection and analysis plans, and how you plan to assure reliability, validity, and credibility of your data and your analysis.

 

Requirements

 

To achieve a successful project experience and outcome, you must include the following sections for Part 2:

 

Title Page.

 

Evaluation Design (approximately one page).

 

Selected Measures of Outcomes (approximately two pages).

 

Data Collection Plan (approximately two pages).

 

Data Analysis Plan (approximately one page).

 

Reliability, Validity, and Credibility Considerations (approximately one page).

 

References.

 

Additionally, your paper must:

 

 

 

Be a total of 5–7 pages of text (excluding the title page and the references page).

 

Include scholarly references to support your ideas about research on the kind of program you are evaluating (population, clinical focus, counseling approach), and program evaluation procedures (program evaluation model, needs assessment, ethical and cultural considerations).

 

Be free from errors that detract from the message.

 

Be written in third person.

 

Use current APA style and formatting throughout.

 

Be in Times New Roman, 12-point font.

 

Make sure to use the template (link in Resources) for this assignment.

 

Folder icon Portfolio Prompt: You may choose to save this learning activity to your ePortfolio.

 

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[u08d1] Unit 8 Discussion 1

 

DATA ANALYSIS PROCEDURES

 

Resources

 

Discussion Participation Scoring Guide.

 

This discussion will help you prepare the data analysis section of your research design for your Program Evaluation Plan project. Your peers and instructor will provide feedback that will help you refine your plan. This is an extended post and should comprise 300–350 words.

 

As part of your Program Evaluation Plan project, you might propose collecting surveys, scored assessments, transcribed conversations, observational notes, clinical records, or other forms of data. You will analyze this data with the goal of answering the basic questions of the evaluation and uncovering other useful information. For this discussion, first post details about the following aspects of your project:

 

Population.

 

Clinical areas of concern.

 

Clinical intervention and program services.

 

Questions to be answered by evaluation.

 

Then, describe step-by-step data analysis procedures you will use to answer the following:

 

What are the data analysis procedures (using both descriptive and inferential statistics) for the quantitative component of the program evaluation plan?

 

What are the data analysis procedures for the qualitative components of the program evaluation plan?

 

Use published scholarly articles to find examples of data analyses that pose evaluation questions similar to yours. Discuss how these studies used and justified similar data analysis procedures that could also be used in your evaluation plan.

 

Response Guidelines

 

Provide substantive feedback to at least two other learners. Your feedback might provide suggestions for additional resources, ask questions for clarification, or provide constructive suggestions for refining the learners’ data analysis plans.

 

 

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