Data collection is a crucial step in the process of measuring program outcomes. By measuring outcomes, an organization can better recognize the effectiveness and value of its programs, and pinpoint where data collection for school action plan or improvements need to be made. Before collecting data, your organization should have a solid understanding of the purpose of the program you wish to evaluate.
You should have a working logic model that identifies your desired outcomes, the resources and activities necessary to accomplish these outcomes, and a detailed list of the specific measures you will take to implement them. Once this piece is complete, you can begin gathering relevant data through surveys, interviews, focus groups, or other methods. Acupuncture and cancer pain and reliable data is the backbone of program analysis.
Collecting this data, data collection for school action plan, however, is just one step in the greater process of measuring outcomes. The five steps include:. At the data collection for school action plan of this lesson, you will be able to understand how to plan for and implement data collection for a specific program; identify the most appropriate and useful data collection methods for your purposes; and manage and ensure the integrity of the data you collect.
Your data collection process will include attention to all the elements of your logic model: In collecting indicator data, you are likely to use one or more of these four methods: The primary advantage of surveys is their cost in relation to the amount of data you can collect. Surveying generally is considered efficient because you can include large numbers of people at a relatively low cost. There are two key disadvantages: First, if the survey is conducted by mail, response rates can be very low, jeopardizing the validity of the data collected.
There are mechanisms to increase response rates, but they will add to the cost of the survey. We will discuss tips for boosting response rates later in this lesson. Thorough survey pre-testing can stomach ache allegra the likelihood that problems will arise.
Interviews use standardized instruments but data collection for school action plan conducted either in person or over the telephone. In fact, an interview may use the same instrument created for a written survey, although interviewing generally offers the chance to explore questions more deeply. You can ask more complex questions in an interview since you have the opportunity to clarify any confusion.
You also can ask the respondents to data collection for school action plan on their answers, eliciting more in-depth information than a survey provides. The primary disadvantage of interviews is their cost. It takes considerably more time and therefore costs more money to conduct telephone and in-person interviews.
Often, this means you collect information from fewer people. Interview reliability also can facts about aldactone tablets australia problematic if interviewers are not well-trained. They may ask questions in different ways or otherwise bias the responses.
While interviews with individuals are meant to solicit data without any influence or bias from the interviewer or other individuals, focus groups are designed to allow participants to discuss the questions and share their opinions.
This means people can influence one another in the process, stimulating memory or debate on an issue, data collection for school action plan. The advantage of focus groups lies in the richness of the information generated. The disadvantage is that you can rarely generalize or apply the findings to your entire population of participants or clients. Focus groups often are used prior to creating a survey to test concepts and wording of questions.
Following a written survey, they are used to explore specific questions or issues more thoroughly. Observations require well-trained observers who follow detailed guidelines about whom or what to observe, when and for how long, and by what method of recording.
The primary advantage of observation is its validity. When done well, observation is considered a strong data collection method because it generates firsthand, unbiased information by individuals who have been trained on what to look for and how to record it. Observation does require time for development of the observation tool, training of the observers, and data collectionmaking it one of the costlier methods.
Internal records available to a capacity builder might include financial documents, monthly reports, activity logs, purchase orders, etc. The advantage of using records from your organization data collection for school action plan the ease of data collection.
The data already exists and no additional effort needs to be made to collect it assuming the specific data you need is actually available and up-to-date.
If the data is available and timely, record review is a very economical and efficient data collection method. If not, it is likely well worth the time to make improvements to your data management system so you can rely on internal record review for future outcome measurement work.
Just a few changes to an existing form can turn it into a useful data collection tool. A small amount of staff training can increase the validity and reliability of internally generated data. Official records can include Federal, state, or local government sources such as the U. Census Bureau, health departments, law enforcement, school records, assessor data, etc. If the data is relevant and accessible, data collection for school action plan, then official record review is very low-cost.
Validity and reliability are two critical concepts in implementing effective outcome measurement systems. These concepts can be illustrated through the example of a bathroom scale, data collection for school action plan. Assuming she is not losing or gaining weight, and that she actually does weigh pounds, then the scale is valid and reliable. The scale could be reliable without being valid.
If, however, the scale always reads pounds, and she is not gaining or losing weight, then it is still reliable because it reflects a consistent reading. Reliability can also be thought of as the extent to which data are reproducible. Do items or questions on a survey, for example, repeatedly produce the same response regardless of when the survey is administered or masterbedroom addition plans the respondents are men or women?
Bias atlanta accutane law suits the data collection instrument is a primary threat to reliability and can be reduced by repeated testing and revision of the instrument. You cannot have a valid instrument if it is not reliable. However, you can have a reliable instrument that is not valid. Think of shooting arrows at a target.
Reliability is getting the arrows to land in about the same place each time you shoot, data collection for school action plan. Once you have identified the data collection methods you intend to use, and after you have carefully tested to make sure your methods are as valid and reliable as possible, you need to decide when you will collect the data and how often. Using an data collection for school action plan schedule to gather data—such as before, during, or after a program—is vital.
Here are descriptions for five approaches or designs you are likely to use for your data collection. You may want to employ more than one type of design. It will be vital to find reliable and trustworthy people to collect and manage the data. Consider who will collect the data and how you will recruit these people. What steps will they need to take to collect the data? How will you train them? Finally, who will be responsible for monitoring the data collection process to ensure you are getting what you need?
Make sure they know that you will be collecting data, either at the time of service or in follow-up. Clarify why it is important to you and how you intend to use the data. Organizations often have outcome reporting requirements themselves, so they usually are responsive if they have been alerted to your needs ahead of time. Advising them in advance about your data collection plans will help increase their willingness to participate during implementation.
Anonymous data collection for school action plan confidential do not mean the same thing. You must let them know that their participation is voluntary and explain how you will maintain the confidentiality of their data.
As data is collected and entered into a storage mechanism, checking for errors and data quality is an important step that is easily overlooked. Build in time to review data and follow up about discrepancies in your overall timeline; the more data you collect, the more time you will need to assure its quality. Additionally, low response rates can threaten an outcome measurement effort. Follow-up surveys with organizations that no longer actively participate in a capacity building program are especially vulnerable to this problem.
If response rates are low, you may be excluding valuable opinions, feedback, and responses that can help you shape future training and technical assistance programs. You may also get an inaccurate picture of how your current program is proceeding. The following strategies can help you increase your response rates. Thank you for viewing this e-learning lesson on creating and implementing a data collection plan.
Data collection is a critical part of measuring program outcomes. You should now have a better understanding of how to plan for and implement data collection for a specific program. Identifying the most data collection for school action plan and useful data collection method for a specific program will help you effectively ensure the integrity of the data you collect.
Data Collection Plan Worksheet: This worksheet will help you lay out your data collection plan step by step, from the outcomes to be measured to who will collect and manage data. Data Collection Plan Worksheet. The Resource Network offers information, downloadable documents, and links to resources related to the identification and measurement of program- and community-level outcomes. The Outcome Indicators Project provides a cancer staging lung adenocarcinoma for tracking nonprofit performance.
It suggests candidate outcomes and outcome indicators to assist nonprofit organizations that seek to develop new outcome monitoring processes or improve their existing systems. Creating and Implementing a Data Collection Plan.