The data collection process must be carefully managed during a training evaluation project to ensure necessary data is obtained in a timely manner. Identify ways to avoid bias or other errors that could adversely influence the accuracy of the evaluation project.
- Once you create a strategy to evaluate…your training program, you have to implement your plan.…Key Action number 4 in the ADT Competency Model…is Managing Your Data Collection.…There are a few things you should do…in this stage of the process.…Apply consistent and accurate methods,…monitor ongoing data collection…and document the data in a format that's easily accessible…like a spreadsheet or database.…Let's use an interviewing skills training program…as an example to illustrate how these considerations…come into play.…
Our overall goal is to reduce turnover among new hires…within their first 90 days from 30% down to 15%.…We can measure this by analyzing data…in our company's human resources information system…or HRIS.…This is a database that contains…all sorts of employee information.…But how do we know that data is accurate?…Let's say we learn that employee records…sometimes aren't updated in a timely manner.…This could throw off our turnover data…that we're using to evaluate the training.…
So it's a good idea to spot check your data sources…
Check the exercise files for sample evaluation plans, reports, checklists, and worksheets that you can use to evaluate your own employee development program.
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- Common learning assessment models: Kirkpatrick, Phillips, Brinkerhoff, and alternatives
- Identifying expectations
- Collecting data
- Analyzing data
- Making recommendations