Trainer evaluation project
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SetFocus is a global training company that provides evaluations after each course week to improve performance; they want to build reports and dashboards to analyze evaluation data over time by tracks, sessions, instructors and other dimensions. The project involves designing a data warehouse with dimensions and facts to consolidate evaluation data from different sources and build SSAS cubes and SSRS reports to analyze scores and metrics by various attributes and allow drill-downs.
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Create a written proposal in which you detail the complete design of an employee training program.
Write a six to eight (6-8) page paper in which you:
1. Design a two (2) day training program for a group of twenty (20) employees.
2. Identify two to three (2-3) training needs though a Training Needs Analysis (TNA) and justify an
approach for this training.
3. Develop the training objective for this program based on an analysis of the business.
4. Determine the training cost for the training program you are proposing. Include a detailed
breakdown of time allotted for each piece, the subsequent cost analysis, and the total cost for the
project as a whole.
5. Select key training method (s) to deliver the program to employees, such as an e-Learning
module or a one-day face-to-face training program.
6. Create an agenda of activities for the training program.
7. Use at least five (5) quality academic resources in this assignment. Note: Wikipedia and other
Websites do not qualify as academic resources.
Your assignment must follow these formatting requirements:
Be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all
sides; citations and references must follow APA or school-specific format. Check with your
professor for any additional instructions.
Include a cover page containing the title of the assignment, the student’s name, the professor’s
name, the course title, and the date. The cover page and the reference page are not included in
the required assignment page length.
The specific course learning outcomes associated with this assignment are:
Identify when to conduct a Training Needs Analysis (TNA).
Analyze the various approaches to performing a Training Needs Analysis.
Develop strategies for training design.
Use technology and information resources to research issues in training and development.
Write clearly and concisely about training and development using proper writing mechanics.
Grading for this assignment will be based on answer quality, logic / organization of the paper, and
You are part of a behavior consulting team providing consultation to local service agencies in your area.
Choose one of the following scenarios and write a comprehensive plan for program design and evaluation You are being asked to apply what you have learned about how Evidence-Based Program Planning applies to organization-wide behavior interventions.
· Just Like Home nursing home wants to assess the possible need for a new behavior management program to prevent Alzheimer’s patients from wandering unsupervised and endangering themselves.
· VHab vocational training program for developmentally disabled adults wants to assess the possible need for a new program to train clients as potential volunteers for various community services.
· Stars ABA program, providing clinic-based ABA interventions for children with autism, wants to assess ...
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Sheet1HCM3002 Economics of HealthcareChoose a Health Plan (Part 2)Example of using the MAU model for choosing an office siteCriteriaWeightsSitesRawSum to 100Site ASite BSite CSite DCost per square foot402807010050Located where service is needed302150300100Accessible by public transportation302110080800Handicap accessibility201410070600Room for expansion10730100030Close to medical center151010008080Totals14510057.24195.00176.00114.00This is an example of using the MAU model for choosing among several sites for a medical office, considering such factors or criteria as rent, location, and space. Both raw weights and normalized weights are given. Normalized weights sum to 100. All the calculations are done by formula. When you place the curser in a cell, you will see the formula in the Formula Bar.
Sheet2
Sheet3
Page 1 of 4
HCM3002 Economics of Healthcare
© 2013 South University
Multiattribute Utility (MAU) Model
Some decisions are complex, and using a decision aid is often helpful. Described here is one
such aid, which involves creating a multiattribute utility model or MAU model. Despite its
somewhat scary name, the process of building such a model is not a difficult one, and it can help
a decision maker structure a problem or decision. Once the alternatives have been identified, the
process involves determining the appropriate criteria (i.e., the attributes which give the model its
name) on which to judge the alternatives, how important these criteria are in relation to each
other, and how well the alternatives stack up against these criteria. The model then brings all this
information together into a single score (that measures the overall utility of each alternative) so
that the decision maker can make appropriate recommendations. In this way, using the model can
either aid in making an initial decision or reinforce a decision that has already made.
Building the model and making the appropriate calculations can be done with pencil, paper, and
calculator. However, it is recommended that you construct a spreadsheet to organize your input and
perform the requisite calculations. Read through these instructions completely before proceeding so
that you will have a better idea about how to set up your worksheet. The process follows these five
steps:
Step 1: Define the alternatives and the attributes or criteria on which you choose to evaluate
the alternatives.
For this project, the alternatives are the various health insurance plans that you can contract with.
As you are dealing with a relatively small number of plans, all of which serve the geographic area
in which you are located, you can evaluate all of them unless you have a reason to eliminate one
or more of the plans from consideration. (If this is the case, include in your write-up which plan(s)
and why.) Regarding the attributes or criteria, you will need to choose a subset of the performance
indicators or measures presented in .
M3 reviewing the slo-sso-final
Student Learning Objectives, Mississippi Department of Education, Research in Action, Educator Effectiveness, Assessment Literacy, Assessment, Teacher Effectiveness, Policy
M3-Reviewing the SLO-SSO-DemoSite
The document provides guidance on reviewing student learning/support objectives (SLO/SSO) for use in measuring student mastery or growth. It outlines the goal of reviewing technically rigorous SLO/SSOs and objectives for participants to conduct quality assurance reviews of SLO/SSOs for completeness, comprehensiveness, and coherency. The document describes helpful resources like checklists and rubrics to guide the review process and ensure SLO/SSOs have rigorous performance measures aligned to content/professional standards. The outcome is a refined SLO/SSO form identifying areas for further improvement.
Data Collection Points And Gqm
This document discusses data collection for project management. It lists suggested mandatory data to collect, such as project name, manager contact information, and effort estimates. Optional data is also described, including defects data. Data needed for model calibration is outlined. Lastly, the document introduces the Goal-Question-Metric approach for defining what data to collect based on goals, questions, and metrics.
Similar to Trainer evaluation project (20)
Microsoft_Project_101_How_to_Build_a_Project_Plan.
Microsoft_Project_101_How_to_Build_a_Project_Plan.
You are working as a behavior consulting intern. Your company’s on.docx
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Assignment 2 Designing a Training ProgramDue Week 8 and worth 3.docx
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
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- 8. Stored Proc: Populate DimDate
- 9. Data Warehouse – Data Diagram
- 10. Set Focus Evaluation Datawarehouse ETL Utilizing SSIS
- 11. Master Package
- 13. Fact Evaluation The fact evaluation table will be used as a counter for completed vs. uncompleted evaluations. A validation was done on SessionID which creates an error data file.
- 14. Dim Question
- 15. Fact Score
- 17. DSV Diagram
- 19. Dim Date
- 20. Dimension Usage
- 21. Calculations
- 32. Trainer Report (Sharepoint View) , sample data for Instructor AA
- 35. Action Tab of Series Properties allows us to link to other SSRS reports. In this case we allow user to see the TrainerDetail Report by selecting any of the Markers on the chart.
- 36. Trainer Date Range Report (Sharepoint View) , sample data for Instructor AA
- 38. Query Designer for Dataset dsTrainerRange Here we are able to setup the parameters as a range .
- 39. Trainer Detail Report This report shows trainer’s evaluation scores for last class, day or night. This Report Defaults to most recent date where there was an score.
- 40. =Fields!Session.Value & " " & Fields!Course.Value & " " & Fields!Date.Value ="Instructor: " & Parameters!Instructor.Label & " “ & Sum(Fields!CompletedFlagInt.Value, "dsEvals") & " Evals/" & Sum(Fields!FactEvaluationCount.Value, "dsEvals") & " Students " =Sum(Fields!Score.Value)/Sum(Fields!Valid_Scores.Value)
- 41. SELECT NON EMPTY { [Measures].[Average Score], [Measures].[Score] , [Measures].[Valid Scores] } ON COLUMNS, NON EMPTY { ( [Dim Session Course].[Course].[Course].ALLMEMBERS * [Dim Session Course].[Session].[Session].ALLMEMBERS * Tail( Filter([Course End Date].[Date].[Date].ALLMEMBERS, [Measures].[Average Score] >0 ), 1) * [Dim Session Course].[Track].[Track] * [Dim Question].[Question].[Question].ALLMEMBERS * [Dim Question].[Sub Category].children ) } DIMENSION PROPERTIES MEMBER_CAPTION, MEMBER_UNIQUE_NAME ON ROWS FROM [SF Course Eval DW] Where (STRTOMEMBER( @Instructor ) ,STRTOMEMBER( @TimeOfDay )) CELL PROPERTIES VALUE, BACK_COLOR, FORE_COLOR, FORMATTED_VALUE, FORMAT_STRING, FONT_NAME, FONT_SIZE, FONT_FLAGS SELECT NON EMPTY { [Measures].[Fact Evaluation Count], [Measures].[Completed Flag Int] } ON COLUMNS, NON EMPTY { ( [Dim Session Course].[Course].[Course].ALLMEMBERS * [Dim Session Course].[Session].[Session].ALLMEMBERS * Tail( Filter([Course End Date].[Date].[Date].ALLMEMBERS, [Measures].[Average Score] >0 ), 1) * [Dim Session Course].[Track].[Track] )} DIMENSION PROPERTIES MEMBER_CAPTION, MEMBER_UNIQUE_NAME ON ROWS FROM [SF Course Eval DW] Where (STRTOMEMBER( @Instructor ) ,STRTOMEMBER( @TimeOfDay )) CELL PROPERTIES VALUE, BACK_COLOR, FORE_COLOR, FORMATTED_VALUE, FORMAT_STRING, FONT_NAME, FONT_SIZE, FONT_FLAGS
- 42. SELECT DimQuestion.Question, FactScore.Comments FROM FactScore INNER JOIN DimSessionCourse ON FactScore.SessionCourseID = DimSessionCourse.SessionCourseID INNER JOIN DimQuestion ON FactScore.QuestionID = DimQuestion.QuestionID INNER JOIN DimDate ON DimSessionCourse.CourseEndDateID = DimDate.DateID WHERE (FactScore.Comments IS NOT NULL) AND (DimSessionCourse.InstructorName = @Instructor) AND (DimSessionCourse.TimeOfDay = @DayEvening) AND (DimDate.Date = (SELECT MAX(DD.Date) AS Expr1 FROM DimDate AS DD INNER JOIN DimSessionCourse AS DSC ON DD.DateID = DSC.CourseEndDateID WHERE (DSC.InstructorName = DimSessionCourse.InstructorName) Created a datasource to access DW relational database to extract Comments ="[Dim Session Course].[Day-Evening].[Day]"
- 43. Additional Attribute [Day-Evening] added to DimSessionCourse to declare Time of day filter .
- 44. The End
Editor's Notes
- Mention appearance of fragmented data. Consider modifying report for more meaningful graph in phase 2
- Note the sparseness of the data for this particular instructor. We found this to be the case with nearly all the instructors. This is due to the data. We suggest re-evaluating the report for Phase 2; perhaps using a bar chart and only comparing on dates where the instructor has data.