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very much informative and easier to understand than even the course notes. thanks alot

Data collection tools should be simple and as short as possible, while still containing all the questions required to get the desired information. Ambiguous questions that can be misinterpreted should be avoided.

When I signed up for this course, I was hoping to work on developing more tools. However, I see that this would be more complicated than this course allows.

A questionnaire would likely be a survey, not an interview as asked by Bamilili

It is important that your tools are in full compliance with the indicators planned for the project

bolded textTips of creating data collection Tools
To start with, identify who will use this tool-Consider who the user of the tool will be. Before designing your tool, consider these questions:
-What education does the user have?
-What experience has the user had in using data collection Tools?
-How comfortable are they using this type of tool? If you are able to answer these questions,you will have a much clearer idea of how to design your tool.
Secondly, Focus on essential information. Keep your tool simple by focusing on collecting essential information(the data that you need to measure your indicator).
Thirdly,collect metadata in addition to collecting essential data related to your indicators, metadata is the information that explains how your data was collected.
Additionally,you need to pre-test your tool. Before you send out your tool,it is best to ask a few different people to try using the tool.
Lastly,train staff to use the tool and include instructions. Never assume that your tool is self-explanatory. Different people might interpret your form differently. Therefore,it is important to include an instruction sheet that states the purpose of the tool and describe step by step on how to use it.

Once we have selected data collection methods the it important to identify the data collection tools.
This will be explore the way we select the data and which data will be collected with appropriate tools.
The data collections tools have different types like surveys, interviews, group discussion and others.

To create data collection tool first we should ask our self how can we collect the all information needed in simple and convenient way.
Using the existing the tool is used for time consuming and costing.
In the creating data collection tools we should identify the method of data collection, sources and the time schedule.
The best way to create data collection tool is participants tracking form.

A list of data collection Tools includes the following:

• SURVEYS: these are designed to collect and record information from many people, groups or organizations in a consistent way.

-FOCUS GROUP: Focus group discussion are facilitated discussions held with a small group of people who have specialist knowledge or internet in a particular topic.

-INTERVIEWS: Interviews are probably the most common tool used in planning monitoring and Evaluation. Interviews can be one on one conversation with people who have special information about a particular topic.

-OBSERVATIONS: Observations may be of physical surroundings, activities or processes. A record of what observers see and hear at a specified site,using a detailed observation form.

-DOCUMENT REVIEW: A review of documents such as project records and reports database, training materials, communications laws and policy documents.

-LABORATORY MEASUREMENTS:This measures specific objective things such as infants weight or water quality.

• COMMUNITY WORKSHOP/MEETING: This is a form of public meeting open to all community members. An interviewer asks participants questions following prepared interview guide.

creating data collection tools is most important to have the complete in formation about the participant of the project and how to make it more efficiency and accuracy , the good data tools is more important

there is many types of data collection, each type correspond to a study objectifs

Data collection tool is used to gather information of participants in a project. And this comes after the data collection has been identified. A good example of a data collection tool is the participant tracking form. The following tips are very important for creating a data collection tool:

1. identify who will use the tool, 2) focus on essential information, 3) collect metadata, 4) pre-test your tool, 5) train staff to use the tool and include instructions

For any person having the idea of data collection, he or she must be familiar with steps for the tools creation. First, he or she should understand the indicator intendent to use. He/she should decide which information to record in the tool to design. Thirdly the decision on how the forms will be filled in. For example, it can be decided that for the "yes" reply you record "Y" and for the "No" you record "N".

The forth step is to the creation of the form. this is where you design the form to be used during the data collection. The tool can be designed using word or even excel. The second last step is to test your form where its working by just guessing values so that you are sure its working. the last step is to revise your form which you designed in case of any adjustments needed.

Data collection tools refer to the devices/instruments used to collect data, such as a paper questionnaire or computer-assisted interviewing system. Case Studies, Checklists, Interviews, Observation sometimes, and Surveys or Questionnaires are all tools used to collect data.

Data collection tools should be simple and as short as possible, while still containing all the questions required to get the desired information. Ambiguous questions that can be misinterpreted should be avoided.

Most are based around a core set of basic tools. These include interviews, focus group discussions, observation, photography, video, surveys, questionnaires and case studies. Data may also be generated through direct measurement, reviewing secondary data, and informal project / programme management processes.

Most are based around a core set of basic tools. These include interviews, focus group discussions, observation, photography, video, surveys, questionnaires and case studies. Data may also be generated through direct measurement, reviewing secondary data, and informal project / programme management processes.

there is many types of data collection, each type correspond to a study objectifs

Most are based around a core set of basic tools. These include interviews, focus group discussions, observation, photography, video, surveys, questionnaires and case studies. Data may also be generated through direct measurement, reviewing secondary data, and informal project / programme management processes

in my opinion this module was a little short and does not have enough samples.

in my opinion this module was a little short and does not have enough samples.

in my opinion this module was a little short and does not have enough samples.

in my opinion this module was a little short and does not have enough samples.

I have learned after selecting the indicators in our Monitoring and Evaluation Plan, we need to collect data to monitor our progress. There are various types of data collection methods, that might be used for qualitative and quanitative data reasoning, followed by data collection tools, which shows data collection methods, sources, and the collector person of the data. We will then create a participant tracking form to monitor the data collection progress, which involves both data and meta-data.

I have learned after selecting the indicators in our Monitoring and Evaluation Plan, we need to collect data to monitor our progress. There are various types of data collection methods, that might be used for qualitative and quanitative data reasoning, followed by data collection tools, which shows data collection methods, sources, and the collector person of the data. We will then create a participant tracking form to monitor the data collection progress, which involves both data and meta-data.

in my opinion this module was a little short and does not have enough samples.

the way is clear in different aspects except for the indicators, however, i think coding the indicator also is important for easy reference

sorry, especially for the indicators

1)Interview : face to face conversation between 2 individual with the sole ainbof collecting relevant information

2. questioniare: instrument consisting of series of questions & prompt to receive response

3. reporting : gathering and submitting data to be further subjected to analysis

4. Existing data : the means of using new investigative questions in addition to other than the ones already used

It is important to decide the tools for data collection because research is carried out in different ways and for different purposes

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.