Have you considered whether you will a large enough N for statistical analysis? How may teachers do you have access to?

Choosing the proper statistical test depends on your purpose, type of data, and the assumptions you can/can't make. Since your question runs short of details, I would recommend you go through the following.

Choose the right statistical technique. (2021). Emerald Publishing. https://www.emeraldgrouppublishing.com/how-to/research/data-analysis/choose-right-statistical-technique

Good luck,

It would be helpful to have more detail, but for starters, if you want some basics a really simple model might suggest having 2 groups of kindergarten teachers. Group 1 who is exposed to HELP, and Group 2 who is not exposed to HELP (your control group). Typically, one might suggest you'd need to have say 30 teachers in each group, for a total of 60 teachers. Then, you need to decide on your outcomes that you measure. In other words, what do you want to measure? (eg. you will need to include some tests for emotional regulation before you administer the HELP program, and then do the tests once again after the program and measure improvement). Then you can use T-Tests, or ANOVAs to compare one group to another, and compare the PRE intervention to the POST intervention. The length of the HELP program will also be an important factor in your research design.

this is possible a quasi-experimental design. you should have a treatment group and a control group; pretest and post test to compare the findings between groups.

statistically, you need to compare results before treatment and after you finish it. in regards to control group, you will compere it with the treatment group to see if any changes happened in the psychological and behaviors of the treatment/ experimental group with the control group.

Maybe this paper from our group (just out) can help: Article Assessing Change in Intervention Research: The Benefits of C...