Learning Before Going to Scale: An Introduction to Conducting Pilot Studies
“If I had known then what I know now, I would’ve done it much differently.” How many of us have found ourselves looking back on the rollout of a [...]
“If I had known then what I know now, I would’ve done it much differently.” How many of us have found ourselves looking back on the rollout of a [...]
This is the second blog of the seven-blog series, Creating a workplace where people thrive: The power of organizational core values. How do companies create a thriving workforce? It [...]
This is the first blog of the seven-blog series, Creating a workplace where people thrive: The power of organizational core values. When I started Magnolia in 2002, I didn’t [...]
Many of our studies involve monitoring and evaluating program implementation to learn more about how programs are delivered and the degree to which they are delivered as intended. Examining program [...]
At Magnolia, one of our core values is cultivation. This means we create an environment where new ideas, opportunities, and innovation thrive, which benefits both our team and the clients [...]
All too regularly, we see a news headline that a school employee has engaged in sexual abuse or misconduct with students in a K–12 school. Often, an accused teacher [...]
At Magnolia Consulting, we often use online surveys as a data collection tool in our evaluation studies. Online surveys are an efficient and effective way to gather information from participants [...]
For external evaluators, site visits (e.g. visiting schools) provide an opportunity to experience the activity, program, or product first-hand while also offering a chance to connect in-person with participants from [...]
At Magnolia Consulting, one of our specialities is designing and implementing curriculum efficacy or effectiveness studies, and we are often tasked with recruiting sites (i.e., schools or school districts) to [...]
Data cleaning is possibly the most critical step in running statistical analyses. A general rule of thumb is to spend 80% of your time cleaning data and the remaining 20% [...]