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I would like to learn more about data analysis.

thank you this advice. It serves as a good reminder to not overcomplicate things.

thank you for this piece of advice!

determining if the indicator is qualitative or quantitative is key to tools design

In data collection you should choose an appropriate data collection method and before decide you should ask the following What, Who, How often, By whom and can we do it.

It's like I got confused about this part can someone help please

It's like I got confused about this part can someone help please in the previous module

This is the process where as an M&E we need to have focus and make sure we understand the process so that it is easier for as to have as many tools as we want for as to collect different data for our organisations

This is the process where as an M&E we need to have focus and make sure we understand the process so that it is easier for as to have as many tools as we want for as to collect different data for our organisations

Another goof tool for collecting data is through use of online applications such as KOBO and IDK to collect information from project participants. They allow easy access to saved information and allows integration of vast amount of data. The flipside is that it is limited to people with access to internet.

One way to create that are simple to use is to group your indicators to ensure that those indicators to be collected at the same time, by the same person and at the same location are grouped and captured by one tool. Codes should also be used for guidance and simple languages should be used.
For people with low education, training, or language fluency, an illustration can be used or a literate person should help them fill the form.

The creation of data collection instruments is a process that can hardly be finished in the plan, because sometimes we create and test instruments and finally we approve them and start the process of granting data. But, for one reason, either the donor or the implementation team finds that there is a need to include some more indicator. Or the assessment itself may lead to the conclusion that one of the method and instrument used do not allow decisions to be taken in full.

Data collection tool is a yardstick that is used to collect information for the project to be undertaken. It is therefore important to note that the designing of the tool used to collect data has an effect on the final outcomes of the project. It is through the information collected that monitoring and evaluation will be made possible, thus the design for the data collection tool should be given enough attention, otherwise the whole project will be a failure.

The creation of an effective data collection tool will start by identify the key indicators on the outputs of the project, this means it starts on what exactly do we want to measure. After identifying that, there is then need to identify or decide which information to record and decide how the the data collection tool chosen will be filled. Also, the instruction pertaining the methods of collecting data will then need to be inscribed on a separate page. These instruction are very useful since they act as guide during the process of collecting data, they may indicate who is going to fill in the data collection tool and the codes to be used. The last steps to be taken into consideration include testing the data collection tool and revise it where necessary.

It is important to note that the design of the data collection tool clearly determines the quality of data to be collected.

Data is one of the most valuable resources today’s businesses have. The more information you have about your customers, the better you can understand their interests, wants and needs. This enhanced understanding helps you meet and exceed your customers’ expectations and allows you to create messaging and products that appeal to them. Primary data is information obtained directly from the source. You will be the first party to use this exact set of data.

Quantitative data comes in the form of numbers, quantities and values. It describes things in concrete and easily measurable terms. Examples include the number of customers who bought a given product, the rating a customer gave a product out of five stars and the amount of time a visitor spent on your website. Because quantitative data is numeric and measurable, it lends itself well to analytics. When you analyze quantitative data, you may uncover insights that can help you better understand your audience. Because this kind of data deals with numbers, it is very objective and has a reputation for reliability.

How possible is it that a particular data collection tool may result in biased data?

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How possible is it that a particular data collection tool may result in biased data?

Make sure that you use understandable language for the users to easily understand.

Please help me. i don't see the topic, also it's impossible for me to write something or replie.

It is great to know about the methods and tools of data collection. It is really important step in M&E.

It is great to know about the methods and tools of data collection. It is really important step in M&E.

Creating data collection tools is the most important part of this module. It's created according to indicators as we make grouping.
Grouping indicators can be measured with the some tool if they share the same:
1- Data collection methods
2- Source of data
3- collection schedule or frequency; data for this indicator are collected on the same schedule; weekly, monthly, annually.
Creating data collection tools has some important tips:
1- Identify who will use this tool(user).
2- Focus on essential information.
3- Collect metadata.
4- Pre-test your tool.
5- Train Staff to use the tool and include instructions.
One of the most tool is called participant tracking forms.

It is great to know about the methods and tools of data collection. It is really important step in M&E.

It is fundamental to respond the initial questions when creating data collection tools: who will use it, How often it will be use it, when (set up period of collection) and where? once you have done it you need to define the indicator and this has be well undertood.

Insightful module.

Participant Tracking From is a good example of a data collection tool used in most projects to monitor the progress of the project.

That was a great topic. I have learnt the Data Management process.
Collect, enter analyse, verify store and Data use.(reports,community information, decision making, future use)

Creating a data collection tool is very important to get a specific data accurately

This topic is very essential. Since M&E is all about collecting data for use by either the companies or there sponsors, data collecting tools are therefore at the core of this topic. They provides opportunity for understanding the right tools for the right data collection.

This topic makes a whole lot of sense in M&E. Understanding the basic information in building data tool will help build a good data collection tool as well as a logical framework in M&E.

This topic makes a whole lot of sense in M&E. Understanding the basic information in building data tool will help build a good data collection tool as well as a logical framework in M&E.

data collection tool is an essental insrument for obtaining data for monitoring and evaluation participant tracking tool is ideal for collecting data from people who participated oin the project . in creating this care must be taken to all rules. also the tool must be trial- tested and corrections made are fed back into the system.. this helps in eliminating possible errors that may accrue as a result of misunderstanding the tool.

Understanding the indicators gives the right direction to the type of tool for measurement. Even for students, this topic is very vital.

Is there any free online data collection tool?

Is there any free online data collection tool?

The ability to master the use of these data collection tools will help in the effective implementation of my projects, going forward.

This is crucial to thoroughly assess the well-functioning of a project and the possible mistakes made during its implementation

Consider who the user of the tool will be. The user is the person who will collect data with the tool. Depending on your project, the user may be a staff member, a volunteer, or a partner.

Creating data collection tools is very important. If the project make some mistake in this phase, there will be very problematic for the whole project activities in the field. And also they will not receive the necessary and good information when collection data.

Data collection tools are very vital because it helps to get required data for your decision making, with these data making decision will be almost impossible. The availability of these tools makes it easy and efficient to collect data timely and accurately.

collecting information need to have good and simple tools

its relevant

This has been the best part o this training for me

Great knowledge to learn over this period. I can confidently prepare Data Mapping Flow

Data collection tools refers to forms ,document or guides that help individuals or organizations to collect data.
Data collection tools :
1}Identify who will use this tool.
2}Focus on the essential information.
3}Collect metadata.
4}Pretest your tool.
5}Train staff to use the tools and include instructions.

Choosing an ideal data collection technique requires one to be critical in their thinking so as not to choose a method that will not be appropriate for data collection

Interviews: Interviews are probably the most common
tool used in planning, monitoring and evaluation. They
can be carried out with one person at a time (individual
interviews) or groups of people.

Focus group discussions: Focus group discussions
(FGDs) are facilitated discussions, held with a small
group of people who have specialist knowledge or
interest in a particular topic.

Observation: At its most simple, observation involves
‘seeing’ things – such as objects, processes,
relationships, events – and formally recording the
information. There are different types of observation.
Structured or direct observation is a process in which
observations are recorded against an agreed checklist.
Expert observation is usually carried out by someone
with specific expertise in an area of work, and involves
the expert observing and recording information on a
subject. Observation may also be carried out as a
participatory exercise. Where this is the case the
intended beneficiaries of a project or programme are
involved in planning an observation exercise,
observing, and discussing findings.

Photography and video: Photographs and videos show
still or moving images. Photographs can be used on
their own, but are more often accompanied by written
captions, providing additional information.

etc

Interviews: Interviews are probably the most common
tool used in planning, monitoring and evaluation. They
can be carried out with one person at a time (individual
interviews) or groups of people.

Focus group discussions: Focus group discussions
(FGDs) are facilitated discussions, held with a small
group of people who have specialist knowledge or
interest in a particular topic.

Observation: At its most simple, observation involves
‘seeing’ things – such as objects, processes,
relationships, events – and formally recording the
information. There are different types of observation.
Structured or direct observation is a process in which
observations are recorded against an agreed checklist.
Expert observation is usually carried out by someone
with specific expertise in an area of work, and involves
the expert observing and recording information on a
subject. Observation may also be carried out as a
participatory exercise. Where this is the case the
intended beneficiaries of a project or programme are
involved in planning an observation exercise,
observing, and discussing findings.

Photography and video: Photographs and videos show
still or moving images. Photographs can be used on
their own, but are more often accompanied by written
captions, providing additional information.

etc

Data collection is a methodical process of gathering and analyzing specific information to proffer solutions to relevant questions and evaluate the results.

This is helpful.

Creating data collection tools is the interesting part because we learn how to use one of the data collection tools.

I could make sure it is understandable and testing it first before apply

This module is great for teaching us to be able to create data collection tools and is given complete tips and steps so that we can easily accept this lesson

Creating data collection tools

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, focus group discussions, observation, photography, video and Surveys or Questionnaires are all tools used to collect data.
A data collection tool is created basing on different things which can include but no limited to:

• Think critically about what data you need to collect.

• Consider the cost of every additional data point.

• Do not forget about identifiers.

• Be sure to consider how you will get each data point.

• Consider the skills and knowledge of those who will collect Data.

• Consider your options for mobile-based data collection.

It was great to learn in more detail the importance of creating a data collection tool. Beyond that I was also intrigued to learn about the importance of the level of skill and education of those that are monitoring and evaluating the project.

There are six steps to creating a Participant Tracking Form (or any other type of tracking form, if you do not have human participants). In the next few pages, you will explore each of these steps:

Understand your indicator

Decide which types of information to record

Decide how your form will be filled in

Create your form

Test your form

Revise your form

Sometimes you might miss important information specially if you have to choose either qualitative or quantitative method. I think it is quite important to have mixed data collection methods

Data collection is very important part of M&E to monitor and evaluate the success of the projects. There are different techniques and tools for data collection. So based on our clear understanding of what information we need and resource availability, we can create the data collection tools. An inappropriate data collection tools may not give you the right information. So it is very important to use the most appropriate data collection tools and revived few times before implementation. The data collector should be also given prior training and instruction on the data collection.

The techniques of using illustration and other means to collect the data for those low educated person is very creative and helpful.

Creating data collection is part of collecting a big data, nowadays a big data is big issue of a company, so having a data collection is important for a company base in the future.

After creating your data collection tools, make sure that you pre test your tools before using to avoid mistakes like having questions that can be misinterpreted. You can pre test them by imagining you are in the field with your colleagues

Depending on the level of the indicator (input level, outcome level or impact level) some tools may be more appropriate than others. Usually for outcome and impact level indicator most project use survey and so they design questionnaires. Also a combination of data collection methods may be use when conduction project evaluation.

on the tips explain very basic bullets when choosing data collection tools, there is one tip captured my sense and i think most of officers do not pay attention that most generated questions sometimes they do not consider who is going to lead the whole process and that is seen to incomplete information due to the the person level of understanding . this is most cases that happened on my working environment and its a note to be taken

In creating tools for data collection, the six steps as discussed made it more clearer.

There are three tips to follow when creating data collection tool that are useful and these are collation,creating reports and data collection

It's a very good practice to revise the participant tracking form before distribute it.

What kind of help do you need buddy?

CREATING DATA COLLECTION TOOLS
The types of indicators
the sessions conducted
the forms to be designed

Creating Data collection tool is important step in M&E plan, because a tool help to collect indictor information to track the progress of a project

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.
Qualitative Research Method The qualitative research methods of data collection does not involve the collection of data that involves numbers or a need to be deduced through a mathematical calculation, rather it is based on the non-quantifiable elements like the feeling or emotion of the researcher. An example of such a method is an open-ended questionnaire.
Quantitative Method Quantitative methods are presented in numbers and require a mathematical calculation to deduce. An example would be the use of a questionnaire with close-ended questions to arrive at figures to be calculated Mathematically. Also, methods of correlation and regression, mean, mode and median.

How do you identify data tools effectively?

making sure you use simple and clear word in your form can make data collection easier

I am very new in M&E and i have just learnt how to create data collection tools. Quiet interesting.

Creating data collection tools: I have come to understand that every part or module in this course, is of indispensable importance, and cannot be done without. Imagine doing ur logframe very well, by describing all the parameters in the most accurate way, the purpose and title of the project stated explicitly, inputs, outputs, outcomes and impact, all perfectly described, indicators selected adopting all the tips and guides for choosing an outstanding indicators, the most appropriate data collection methods outlined taking into consideration, the type/kind of data or info we want to generate, and not also forgetting about risks and assumptions, been clearly summerised, What now becomes the next most important thing is to design how are these indicators would be accurately measured? And this lands us to the concept of creating data collection tools, a very important and most commonly used indicator measurement tool is the patient tracking form.
This form should be designed by following all the 6 steps for creating a participant tracking form, focusing on the essential info required to generate the needed data, while not forgetting about the metadata info. And finally, entering of all the data generated into the project's database and documentation of other copies into a folder in a locked file cabinet....

this discussion is very important in many cases for some detail to work

Data Collection Tools are vehicles to drive every single Project to its defined destination

The main reason for Data collection is to capture quality evidence that seeks to answer all the questions that have been posed. Through data collection, business or management can deduce quality information that is a prerequisite for making informed decisions.

To improve the quality of information, it is expedient that data is collected so that you can draw inferences and make informed decisions on what is considered factual.

There are a bunch of underlying reasons for collecting data, especially for a researcher. Walking you through them, here are a few reasons;

Integrity of The Research
A key reason for collecting data, be it through quantitative or qualitative methods is to ensure that the integrity of the research question is indeed maintained.

Reduce the likelihood of errors
The correct use of appropriate data collection of methods reduces the likelihood of errors consistent with the results.

Decision Making
To minimize the risk of errors in decision making, it is important that accurate data is collected so that the researcher doesn't make uninformed decisions.

Save Cost and Time
Data collection saves the researcher time and funds that would otherwise be misspent without a deeper understanding of the topic or subject matter.

To support a need for a new idea, change and/or innovation
To prove the need for a change in the norm or the introduction of new information that will be widely accepted, it is important to collect data as evidence to support these claims.

Data collection tools bring you data that helps to enhance your workflow by allocating resources effectively. Very often, poor asset allocation profoundly costs businesses time and money. Therefore, it is essential to track and measure the performance of various parameters with data collection tools. Consequently, manage your resources properly and avoid under-utilizing any.

yes of course