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The most critical part of M&E process which brings it altogether.

Getting involved in various research projects is important to build up experience with developing, using and ultimately understanding the use of different data collection tools.

Data collection tools are normally used to collect information that will help us to monitor the progress of the indicators we are tracking. In a surveillance project of COVID-19 pandemic, a case-based surveillance form would be ideal to get information of all COVID -19 cases in order to inform policy for interventions. The case-based surveillance form will have all the information such as gender, age, location, date of onset and even presence of underlying factors for all people that were confirmed as COVID-19 cases in Blantyre city of Malawi.

Creating Data Collection Tools is crucial for D&M practitioners because it proves and notifies where the M&E practitioners could collect the Data, as well as measuring it easy as desiring.

Creating these tools makes it easy for one to collect data and be able to come up with answers for all the research questions

Creating these tools makes it easy for one to collect data and be able to come up with answers for all the research questions

EGood evening, I have managed to create an excellent participant tracking sheet on word

thank you very much in any case according to my reading of the course your addition is very important, especially if it is a first for many to collect data

It would have been nice if qualitative tools could be shared.

Data collection tools are forms, documents, guides that help individuals or organizations collect data.
These tools can be classified under quantity and qualititative forms( the type of data to be collected).
Examples of Data collection tools are:
*Interviews;one on one conversation with people who have information on certain topics.
*Observations; a record of what observers on an environment and site see and hear.
*Surveys; A list of questions given to individuals, it can be done via telephone or digitally
*Document Review;A review if documentssuch as project records and report, databases.
*Commumity Workshop/ meeting; A form of public community meeting where people answer questions.

• Focus group; a group of about 8_ 12 people with information on a topic recording their emotions , feelings and discussing it with the help of a moderator.
• Laboratory measurements:
  This are careful measurements of specific objective things. Eg child weight

When choosing a data collection tool one needs to know the type of data to be collected, who will collect and use it,how often the data needs to be collected and will they be able to do it so that they can choose the right tool to be used. Some data tools have disadvantages as they require skills and certain knowledge to be used.

creating data collection tools is really important, if the tool is effective and well developed for the purpose the data collected can be obtained accurate

creating data collection tools is really important, if the tool is effective and well developed for the purpose the data collected can be obtained accurate

TTo creat of data collection tools, if must must at first identity what do you want to measure. You refer to the logframe to take into account the indicator. You mus also define the responsabilities of of your fields. Who will collect the data, how where and whene. You prepare the tools of collection.

I learnt how to create data collection tools with hands on experience. This module is a great insight to my M&E journey.

the most important part is testing your data collection tool to find out if its effective, this is where you can make correction and add importance forgotten crucial data to make you process successful and effective.

One of our data collection
tools is a peer educator
session diary.
This is a form that collects data from the peer eductor as they conduct on their session.
Our peer educators are the ones that go out to the field.
They can collect information about their details of the facilitator.
They can collect details of those they helped share information with.
They could collect information about some questions that may have arisen and them they
were not able to answer.
They also collect information on materials that they shared within the session. And, in case they referred their peer educators to another service, they record it in the
session.
Our peer educators were selected to fill this data.
The role that a peer educator plays in collecting data comparatively with a staff, is that peer educators are easily accepted.
It is easy for peers to open up and tell them information that would be very difficult for a staff member to go there and ask for.
These peers were selected from the community by their own peers and the project staff.

Does the whole project team have access to the participant tracking form or only those directly involved wit data collection?

Does the whole project team have access to the participant tracking form or only those directly involved with data collection?

POUR CREER LES FORMULAIRES AVEC LA METHODE PAPI OU CAPI

understanding the literacy of your respondents is very key in designing any data collection tool, for example if the responds don't know how to write, it means the interviewer will fill the form him/herself

I think only the team responsible for data collection

Creating an authentic data collection tools is the best way to manage monitoring and evaluation because it helps the organization even after some years

When creating data tools, its important to consider the participants' level of education and experience. Use simple terms that are easily comprehendible by all participants. Focus on collecting essential information only, the data you need to measure indicators. Too many questions can become complicated for the participants.

I agree. Questions that are maybe too long and not specific may leave room for misinterpretation by different participants.

Creating data collection tools is important to assist in analyzing the indicators and targets, which leads to a successful project.

Really insightful

Data collection method and its tools are some interesting topics. Is questionnaires part of the tools?

Creating a data collection toll is one of the sensitive parts of data collection and a project at large because if the tools are poorly formulated, they will not be able to satisfactorily capture information that will be used to determine the efficiency and the efficacy of the project.

• Mistakes during creating a data collecting tool can lead to a great problem in the M and E system and data analysis some of which are missing data and incomplete data.

• The data collection toll should be easy to use and though it is important to used codes avoid using too many codes as it might be complicated for any one responsible for filing the said data colling tool.

• Testing the tool is indispensable as u can either add or remove data. it is important to always make sure we keep it simple and precise as well as make sure the variables on the data collection tool are directly impacting the indicator in question.

i totally agree with your opinion

This topics is so interested, i appreciated

Many different methodologies can be used for data collection and analysis. Most are based around a core set of basic tools. These include interviews, focus group discussions, observation, photography, video, surveys, questionnaires and case studies.

Step 1: Identify Goals and Performers.
Step 2: Create Investigative Questions.
Step 3: Develop a Data Collection Plan.
Step 4: Create Data Collection Instruments.
Step 5: Collect Data.
Step 6: Analyze Data and Identify Gaps.
Step 7: Summarize Findings & Prioritize Actions.

data collection tools in this course its depend on ur project title o my side its clear since i am researcher. developing tools mainly starts on the meta data because it have its own socio-demographic modifiable factor included in your research whether it acceptable or not.

even data collection tools depend on ur research like does it small group or large sensitive or common soon. because its simple differentiate method of data collection

Many different methodologies can be used for data collection and analysis. Most are based around a core set of basic tools. These include interviews, focus group discussions, observation, photography, video, surveys, questionnaires and case studies.

Many different methodologies can be used for data collection and analysis. Most are based around a core set of basic tools. These include interviews, focus group discussions, observation, photography, video, surveys, questionnaires and case studies.

This was a great session, I realy enjoyed knowing creating tools from scratch. Most of the time I work with tools that are ready made. It also helps to know that you can still add on your working tool.

Creating a data collection tools is a very important part of project elaboration. We need to think about our problem, choose the right indicators and also know about our population.

The module was very educative interesting and educative. Creating data collection tools is an integral part of the M&E plan. As discussed in this module, I believe it is essential that tools are tested before being fielded. It allows us to identify any issues and address them beforehand.

Data collection tools will need the designer to group indicators according to data collection method, data collection sources, data collection schedule.. this allows for a simple all inclusive data collection tools and aalao checks the most essential information is recorded.

Creating data collection tools is one the most important for the MEH Project. The tool will provides responses and it will determine whether the indicators set to measure on the project is identified.

Creating data collection tools is provided with a very easy way to collect data but many times we need to focus on the logic of indicators that make inconsistencies. When we create data collection tools need to focus on disaggregated questioners of indicators. Data inconsistency also affects the data quality.

This module has been very helpful. Thank you so much

Creating data and collection tools helps in organising and tracking improvement in thhe organisation

Data collection tools are very important for tracking age and demographics of your participants, which indicates if you reaching the right target and if your participants are from different parts of the area. It also allows you to review the data you collect and make any corrections if needed or add any additional data that you would love to measure as an indicator.

i have mastered the session

indeed following the guidelines provided for in the session makes practical work easier

very true

is good to fully understand your project through the logFrame

How to join a group, please ?

Hello everyone!

Data is essential to an organiastion as it helps in making sure the project is making the intended impact

Hello everyone!

Hello everyone!

When we create a tool for the survey we must need to know that the tool should be user friendly as well as logically clearly define the question. We must know about the tools which are used for the survey.

Creating data collection tools are pivotal. Its critical to monitoring the impact of the project.

patient details

• name of patient

• date

• gender

• age

• consultation cases

• drugs prescribe

• name of personnel

• designation

Use the completed Data Collection Planning Worksheet to create a list of all data collection instruments that are required. Next determine which investigative questions will be posed to which audiences through the instruments identified. One way to facilitate this is to sort the Worksheet by its “Data Source” column and compare this with the completed Question Matrix to ensure that no items have been overlooked. Create one document for each instrument and audience, and on it list each investigative question and sub-question.

Consider the type of instruments you will need and plan to create all those of a similar type at the same time. For example, create all the questionnaires you will need and then move on to all interview protocols, documentation worksheets, etc. Tackling the tasks in this manner helps you leverage the work from one instrument to the next of its type. Use the Documentation Worksheet, Focus Group Worksheet, Interview Worksheet, and Questionnaire Development Worksheet to guide your work. Questionnaire items you write for CHWs can be edited slightly to become appropriate for CHW Supervisors, for instance, and so grouping the work will help you complete it more quickly.

Identify individuals from each data source group to serve as pilot participants for the data collection instruments you have created. It’s fine to choose those close at hand, but if there are important subgroups, or strata, among the target population it’s a good idea to pilot with each subgroup to ensure the instrument is sensitive to their differences. Once the instruments are ready the team must prepare for their use.

Once the instruments are ready, the data collection team must be prepared for their use. For self-administered questionnaires provide electronic or print copy as needed to those responsible for distribution and collection. For administered instruments like surveys or interview protocols, hold a training session with data collectors to ensure they understand what each question is designed to capture, the importance of following the question language order, and how they should document the responses they receive. One effective training approach this is to have an experienced interviewer conduct a real interview in front of the collector trainees, who will follow and document the responses individually. Then compare the captured data of the experienced interviewer with that of the trainees to ensure greater consistency.

Use the completed Data Collection Planning Worksheet to create a list of all data collection instruments that are required. Next determine which investigative questions will be posed to which audiences through the instruments identified. One way to facilitate this is to sort the Worksheet by its “Data Source” column and compare this with the completed Question Matrix to ensure that no items have been overlooked. Create one document for each instrument and audience, and on it list each investigative question and sub-question.

Consider the type of instruments you will need and plan to create all those of a similar type at the same time. For example, create all the questionnaires you will need and then move on to all interview protocols, documentation worksheets, etc. Tackling the tasks in this manner helps you leverage the work from one instrument to the next of its type. Use the Documentation Worksheet, Focus Group Worksheet, Interview Worksheet, and Questionnaire Development Worksheet to guide your work. Questionnaire items you write for CHWs can be edited slightly to become appropriate for CHW Supervisors, for instance, and so grouping the work will help you complete it more quickly.

Identify individuals from each data source group to serve as pilot participants for the data collection instruments you have created. It’s fine to choose those close at hand, but if there are important subgroups, or strata, among the target population it’s a good idea to pilot with each subgroup to ensure the instrument is sensitive to their differences. Once the instruments are ready the team must prepare for their use.

Once the instruments are ready, the data collection team must be prepared for their use. For self-administered questionnaires provide electronic or print copy as needed to those responsible for distribution and collection. For administered instruments like surveys or interview protocols, hold a training session with data collectors to ensure they understand what each question is designed to capture, the importance of following the question language order, and how they should document the responses they receive. One effective training approach this is to have an experienced interviewer conduct a real interview in front of the collector trainees, who will follow and document the responses individually. Then compare the captured data of the experienced interviewer with that of the trainees to ensure greater consistency.

Participant Tracking Form. This is a versatile type of tool that collects data on the people who participate in a project . It can be used to capture what they are saying, and how they are feeling about the project.

Questionnaire. This type of tool is a questionnaire that gathers data from participants on various topics. It can be used to get information about the project goals, participants’ feelings, and thoughts about the project, or any other questions you have.

Observation, one of the best ways to collect data on human beings behaviors and patterns, is a technique that is used by researchers to get information about people’s behaviors without asking them directly. By watching and recording people as they work, you are able to learn a great deal about how they interact with each other and with the environment.

Focus Group. A focus group is a group of people who are chosen to discuss table topics as directed by the group's moderator. Participants in a focus group are typically selected based on their interest and knowledge about the topic. This allows the moderator to get a variety of perspectives on the same topic, which can help improve the accuracy of the research findings.

Survey. A survey is a tool that is used to collect data from individuals who have not been chosen for any other reason than that they may be able to provide information that is useful for a study. Surveys can be used to collect data about any topic, and are often the most common type of research tool.

Interviews. An interview is a conversation with a person who has been chosen for one specific purpose - in this case, to discuss a particular topic in a more focused direction and in a more formal expert way.

I have really learnt a lot in regards to processes of designing the data collection tool, the questions to have in mind, and the process of validating the actual tool before use. I have also been able to understand the concept of metadata; a concept I have never explicitly comprehended. Maybe a question; How many questions should one data collection tool have? This is because of the tools are so long that the respondent can take more than two hours responding to the questions?

I totally agree with you. The logframe is mother of everything. All other information about the project including what to put as questions are derived from the logframe.

And also document reviews

Participant Tracking Form. This is a versatile type of tool that collects data on the people who participate in a project . It can be used to capture what they are saying, and how they are feeling about the project.

Questionnaire. This type of tool is a questionnaire that gathers data from participants on various topics. It can be used to get information about the project goals, participants’ feelings, and thoughts about the project, or any other questions you have.

Observation, one of the best ways to collect data on human beings behaviors and patterns, is a technique that is used by researchers to get information about people’s behaviors without asking them directly. By watching and recording people as they work, you are able to learn a great deal about how they interact with each other and with the environment.

Focus Group. A focus group is a group of people who are chosen to discuss table topics as directed by the group's moderator. Participants in a focus group are typically selected based on their interest and knowledge about the topic. This allows the moderator to get a variety of perspectives on the same topic, which can help improve the accuracy of the research findings.

Survey. A survey is a tool that is used to collect data from individuals who have not been chosen for any other reason than that they may be able to provide information that is useful for a study. Surveys can be used to collect data about any topic, and are often the most common type of research tool.

Interviews. An interview is a conversation with a person who has been chosen for one specific purpose - in this case, to discuss a particular topic in a more focused direction and in a more formal expert way.

This a very important skill, I am excited to learn about this.

Yes monitoring and evaluation are good for projects assessment

It is really important to protect the people who help us with information about themselves.

Step 1: Identify Goals and Performers.
Step 2: Create Investigative Questions.
Step 3: Develop a Data Collection Plan.
Step 4: Create Data Collection Instruments.
Step 5: Collect Data.
Step 6: Analyze Data and Identify Gaps.
Step 7: Summarize Findings & Prioritize Actions.

JIREL Academic Seminar Form.docx

According to my understanding, Data collection tools refer to the devices/instruments used to collect data.
Examples of the tools are, Interviews, Observation, Surveys or Questionnaires, Focus groups and Document review.

Truly, in creating a data collection tool, I have noticed that some organisations including mine, make the mistake of requiring too much information. Thus, making the tool an exhausting task.

I believe a questionnaire is a data collection tool for Surveys.

In creating data collection tools, it is so important to consider and decide on who will fill/complete the form, and also their level of education. This will help in getting correct and valid data.

Collection of data is core to project management in rhe area of monitoring and evaluation because date show us trends. It's a means of communication during the project and tells us if we are actually going to hit our target.
It becomes imperative to come up with a strong design to gather data needed to give us the information we need to achieve our aim in carrying out the project.

I think at this level, it's data science, so this form doesn't have to be printed. It can be built as an app on the phone that can automatically give the result later.

Creating data collection tools will be specific for the types of indicators. Quantitative and Qualitative data are collected using different data collection methods. Participant tracking form is a vital tool for measuring indicators, and certain features are to be abided with: What? Who? How often? By whom? Can we do it?
There are six important steps to be considered when creating data collection tools: Understand your indicator, Decide which information to record, Decide how your form will be filled in, Create your form, Test your form and Revise your form.

Data collection tools should be verified and tested before they are used for data collection.
Roles and responsibilities should be allocated depending on team members' areas of expertise.

The method of data collection is key to develop an indicator tool.
In most cases, survey, interviews and data reviews are more suitable for collecting data.

Data collection for measuring your indicators varies with the urgency of your project.
On my side, the Quality Management System in health care settings requires an expert to review in short possible time and make decisions almost immediately or else the whole project can collapse.

The method of data collection is important to choose correctly for effective and credible data to be collected.
In my quality management system, this is a team project of documents review is more effective for essential data.
Interviews and observation is easy since the project is with the proximity of the workplace.

Good morning, good afternoon, good night colleagues. I found that data collection is the basis of monitoring and evaluation, so we must develop a good collection capacity in order to develop the ability to analyze

in Creating collection tool , There are several data collection tools which are applied according to the type of the data needed; qualitative or quantitative. The method of collecting information in each collection tool is different from the other depending on several factors which are but not limited to the cost, expertise, location, ease of use etc. NB; 1. Survey: This is the most common data collection tool used in business and social research. It is a question-and-answer survey where respondents are asked to provide their opinions on a certain topic or subject.

2. Registers: A register is an excellent method for collecting qualitative data because it allows you to collect data in an unobtrusive way. You can also use a diary to explore patterns and emerge insights that you might not have been able to capture in other ways.

3. Focus Groups: A focus group is a great way to collect quantitative data because it allows respondents to express their opinions on a variety of topics in an open and informal setting.

4. Interviews: An interview is a great way to collect qualitative data because it allows you to get unstructured and in-depth information from a respondent.

5. Analysis of Primary Data: This is the most common method for analyzing quantitative data, and it involves using statistical methods to analyze the data collected from primary sources.

It is important to:

1. Select the right data collection tools
2. Revise them
3. Test and teach the team

Data collection tools are tools normal used to collect data of a project in an organization.
Examples of tools includes

1. Survey
2. Document and review
3. Focus group
4. Interview

Tips for creating data collection tools

1. To identify who to use the tool
2. Always focus on essential information
3. Collect meta data
4. Always test your tools before going to the field.
5. Train staff on use of the tools for its correct use.

creation of data collection tools has to be tailored to each purpose so that each important piece of required information can be collected. Data collections tools are used to collect information intended for a certain purpose.

creation of data collection tools has to be tailored to each purpose so that each important piece of required information can be collected. Data collections tools are used to collect information intended for a certain purpose. Creating data collection tools has to be effective and the tools has to be effective in collecting the required data.

creation of data collection tools has to be tailored to each purpose so that each important piece of required information can be collected. Data collections tools are used to collect information intended for a certain purpose. Creating data collection tools has to be effective and the tools has to be effective in collecting the required data. e.g. if a form questionnaire has to be used for data collection, the questions has to be prepared well in advance to make sure that all the required information is catered for in the questions during creation.

i had a very good insight on creating data collection tools and what to consider while crating data collection tool

Creating data collection tool is a key strategy for collecting valid data. there are steps my organization passes through to create appropriate data collection tools.

1. Identify the goals and key performance indicators
2. Design questions to use
3. to identify who will use the tool is an important aspect by looking at their education levels, experience and the familiarity with the tools to use.
4. Paying attention to essential information
5. Collecting meta data
6. Pre test the tool
7. Staff training on the tools

This is a really important module primarily to help M&E experts to monitor and evaluate projects. M&E is about data and you cant get data if you don’t have well designed and tested tools. That's why it is important to learn this module because i will use it in my daily work.

Not forgetting, observation checklists, document review, laboratory measurements, and community workshops.

)It helps to track the progress of the project

2. It helps to assess the impact of the project to the beneficiaries, community and other stakeholders
   3)It helps to detect the mistakes and enable to correct them before they become so worse,
3. It helps to make comparisons between what is being implemented/achieved and what have been planned for effective and efficient resources utilization as well as time management.

)It helps to track the progress of the project

2. It helps to assess the impact of the project to the beneficiaries, community and other stakeholders
   3)It helps to detect the mistakes and enable to correct them before they become so worse,
3. It helps to make comparisons between what is being implemented/achieved and what have been planned for effective and efficient resources utilization as well as time management.

To successfully implement a project, a good M&E system must be in place. And the M&E system needs the right data collection tools.

I think I have a problem with grouping of my indicators for easy data collection

This is very true

In this module I learned most important things about data collection tools and methods. I also realized tools base on indicators and the type of information needed to be gathered. How ever, how do we ensure the trustworthiness or validity of the data we collect remains my unanswered question.

Is it okay to develop software or websites to collect data?

It takes a lot of critical thinking and feedback mechanism to create an adequate data collection tool.

The tips for creating data collection tools are important in program management for three reasons. First, the tips are useful regardless of the type of data gathering tool one wants to utilise to monitor and evaluate programs. Second, and based on experience, following these tips saves the program manager's effort and time from making extensive changes to the tools because these do not work. Finally, and in relation to saving human resources, the tips for crafting data collection tools could save program money because it can ensure that essential indicators are understood and captured correctly. What is meant to be measured is indeed measured. Under this condition, the program can avoid re-doing the process. Thus, the tips in crafting data collection becomes useful in program management.

The tips for creating data collection tools are important in program management for three reasons. First, the tips are useful regardless of the type of data gathering tool one wants to utilise to monitor and evaluate programs. Second, and based on experience, following these tips saves the program manager's effort and time from making extensive changes to the tools because these do not work. Finally, and in relation to saving human resources, the tips for crafting data collection tools could save program money because it can ensure that essential indicators are understood and captured correctly. What is meant to be measured is indeed measured. Under this condition, the program can avoid re-doing the process. Thus, the tips in crafting data collection becomes useful in program management.