My Communities

Honest is a ethical behavior within M&E is to ensure that data you present is accurate and you should not present data that you know is inaccurate, present your data accurately be clear about how your M&E process work and be honest about any limitations

I want to know about difference between honesty and completeness

I want to know about difference between honesty and completenest

My name is Daniel. This is my first attempt at Project Management. Hope it's a nice point to begin my journey. You may suggest a better place to begin.
I hope to enjoy it here and relate better with like minds.

What stood out for me is the fact that in order to ensure honesty you have to constantly check accuracy of your data.

You have to tell the truth to your respondents and avoid promising them what you can not fulfil

Honest in the m and e program is one of the fundamental principles that each member should adhere to and follow, since it leads to correct and transparent processes and outcomes

Because the data collected, managed, analysised and shared is going to inform future planing or interactions, it is therefore, cardinal that it should be a true representation of what is happening in our target population. It must be handled with much care, analysised in the same manner of care, intepreted with accuracy and presented with equal accuracy so that it does no harm to future planning and the population at large.

being honesty in M&E process is a key as it helps to measure well the success of the project

We all need to be honest with our data and the result, and we should use the accurate data in conducting data analysis. Failing to describe the limitation of the M&E strategies may lead to a weak decision about the project.

We all need to be honest with our data and the result, and we should use the accurate data in conducting data analysis. Failing to describe the limitation of the M&E strategies may lead to a weak decision about the project.

This is an amazing course

Très important

Honesty is vital for all data process from collection to data analysis aby the m and e team

Honesty is a key ethical consideration we must take into consideration when dealing with data. It will build the trust of stakeholders (participants, donors etc.) in us and in our process.

as the saying goes honesty is the best policy.
collecting honesty, accurate and transparent data helps to grow confidence and can lead transforming others through your honesty.

These are good methods!

In fact, Not every person can make part of this.

This task in fact, needs skilled people.

In order to present accurate data be honest from the start

we should keep to our words,keep our commiments, pay attention to the enviroment, stay focused, take responsibily and respect the people we work with.
Honesty brings courage and it helps develop strong connections. Also it shows the real side of people and creates trust.

we should keep to our words,keep our commiments, pay attention to the enviroment, stay focused, take responsibily and respect the people we work with.
Honesty brings courage and it helps develop strong connections. Also it shows the real side of people and creates trust.

Here the author is right about honesty, because there are several agencies that do publications but that is not accurate, even in graduation papers. Sometimes, for example, we have fixed a sample of 150 but in the field, we do not manage to reach 150 people, and when the publication, you manage to publish that there were 150 respondents it is not honestly.

It's a fantastic idea, I had to work in a research firm, I was a data analyst, he told us before the elements were analyzed it must be well cleaned so that it does not there are no missing ones and when you do the analyzes you have to be honest that here it is true and the other question is not well done. To allow you to be precise in what you are doing like analyzes and also to gain the customer's trust. So I will say in this area honesty matters more.

The "HONESTY" ethical principle issue is really critical to provide good understanding and appropriate acceptation of our conclusion. In fact, this is confident key of M&E process.

Honesty is a virtue that most be exhibited when presenting data collected in M&E. Ways to ensure hoinesty are;
Ensure that the data you present is accurate and void of intentional or unintentional mistakes or errors

Share limitations of the M&E strategies

Share areas where personal interest may arise causing conflict of interest. etc

This is one area a lot development have come short. Data is misrepresented. The norm is that outcome is now been directly to a program/project. This will continue to be so because on the one hand, recipient of grant want to show to the grantor's that there is value for their money, and on the other hand, the grantor's are demanding humongous proof from the grantee's for the money they have received. If the "showman" continue, data will continue to be represented.

exactly. the topic is relevant

Basically we should bring in other means to cushion the existing frame work

The issue of honesty have been ignored or undermined by many organizations just to get more funding or extend the duration of the project. This leading to cloning (falsifying) data towards the interest and desired outcomes. Many development workers most time falsifying data just o meet targets.

You are right but note that some organizations manipulate data falsely to meet the biased expectations of donors or international partners in order to sustain funding for extension of the project/programmes.

have had great interest in the last bit of conflict of interest. that is a challenging position to be though we have to be host to produce accurate and meaningful M&E reports

What if there are consequences attached to disclosing such information (conflict of interest) during data sharing

It is said that honesty is the best policy. Therefore, programmes must honest right from data collection to presentation.

Presenting data honestly and using only for the intended purpose should always be emphasized. Because if your respondents believe that you are trustworthy there is a high probability that we collect accurate data. realistic data can be collected if people trust our honesty.

Off course when we are talking about honesty we are traying to close a gap that insincerity will come in place when disclosing, preparing or presenting an accurate information always is the way forward and this will speak to the ethical nomenclature we most adopt for smooth and success of a program.

Off course when we are talking about honesty we are traying to close a gap that insincerity will come in place when disclosing, preparing or presenting an accurate information always is the way forward and this will speak to the ethical nomenclature we most adopt for smooth and success of a program.

So the donor gets pleased when the organization mentions their input in a project? Alright.

The issue of conflict of interest is pertinent. Most of the time people can be carried to present a partially close the truth data to please their donor without other necessary considerations but reporting the conflict of interest it's what I don't know if it has ever happened.

The issue of conflict of interest is pertinent.

The issue of conflict of interest is pertinent. Reporting conflict of interest I don't know if It has ever happened.

Honest is one of the fundamental area we all need to put in mind when collecting and presenting data at different levels. presenting false data affects the who process of data collection. As M&E experts we need to be honest when presenting our data. through honesty, our data can be trusted and references can made towards our work by different organization and good recommending can be applause to the organization which we represent.

Indeed, being truthful in your data collection process and presentation of findings is a perfect way to ensure credibility of the work. Any malicious act of doctoring evaluation findings can injure the organizational reputation in the long run.

We must be honest in data collection and analyze

Be honest - collect, use and present your data accurately

Honesty is the hallmark of M&E data representation. Conflict of interest when not disclosed in time put a doubt on the entire data collection and analysis process. M&E personnel should indicate any personal interest at the beginning of their findings. M&E data has to be presented clearly and accurately as possible.

If the honesty information is been provided, it will allow for accurate data analysis of the information. it will also give the organisation room to work out on the mistakes that where made and avoid them in future.

Honest in M&E is not just telling the truth and not laying, but in M&E, there are other dimensions to be evaluated such as: ensuring the data is accuracy before presenting it and it should be presented accurately

Honestly report data as it is from the start.
The results must be honest no what what the outcome is.
The methods and procedures must be honest that collected the data.
It is not good to falsify or distort data.
When dealing with data avoid careless and negligent mistakes carefully and critically check your data that it corresponds.

Honesty is very key in collecting, managing, analysing and presenting your data, findings should be nothing but the truth.

Honesty as much as we try to practice it in our daily lives,it is a most do thing in M& E because the data from M&E is the bedrock of any project which determines the success and failure of the project. In as much as we know that perfection of data is almost nearly impossible atimes either at collection time or presentation time,these are errors that can be worked on to the barest minimum so we can have an honest guideline.

i want know more

Honesty deals with the dignity, wellbeing and safety of an individual. This aspect ensures that individuals do not intentionally or unintentionally cause damage be it physical, emotional or whatever it is in the workplace

Honesty in data collection and usage is a very important aspect because it gives the correct situation on the ground and it gives credibility to the data. Otherwise if any hint of dishonesty in the presentation of the data, that data will not be credible.

Indeed this ethical consideration needs to be reflected in all data presentation and donors need to be aware of the conflicts of interest within projects when presenting the data and should be at donors dispose to make decision based on all the facts that shall be presented.

M AND E REALLY NEEDS PEOPLE TO BE TRUST WORTHY. CAPTURING DATA THAT IS WRONG JUST BECAUSE YOU WANT EVERYTHING TO BE PERFECT IS NO LONGER PART OF M AND E NOW THE DATA IS NO LONGER ACCURATE AND DOESNT INTERPRET WHAT IS SAPOSE TO.

THATS WHY IT IS VERY IMPORTANT TO ENSURE THAT TRUETH IS BEING TOLD. AS M AND E WE NEED TO ENSURE THAT DATA IS PRESENTED ACCURATE, AND IT REPRESENT WHAT IT SHOULD.

How can one detach personal interests from professionalism?

It is a great aspect that as Monitoring and Evaluation professionals we need to be aware of.

Honesty is very key in collecting, managing, analysing and presenting your data, findings should be nothing but the truth.
As a data analyst the place of ethical principles with stakeholder, beneficiaries proje t team, donors et shouldntvbe over emphasis

Attitude towards your team can also improve honesty. I do hear some workers complaining about the pressure being put on them to carry out some kind of duties and if the target is not reached, they get sacked from the work.

For me, you have to be honest with the use of data if you want it to reflect reality

'Honesty is the best policy'

The only way to people's hearts is being honest and completely transparent and making sure there is no conflict of interest.

Sharing limitations and the risks involved regarding a project should be clear and informed to the people so they know what they are getting into. This way they would be comfortable participating and sharing information.

Honesty is very key in M&E processes especially data presentation. how accurately you present your data with honesty is important.

Honesty is very key in M&E processes especially data presentation. how accurately you present your data with honesty is important.

Honesty is very key in M&E processes especially data presentation. how accurately you present your data with honesty is important.

The data must be scrupulous with regards to telling the truth.
It must be upright, not frauded, unbiased, accurate, authentic, open, plain, etc

The data must be scrupulous with regards to telling the truth.
It must be upright, not frauded, unbiased, accurate, authentic, open, plain, etc

The data must be scrupulous with regards to telling the truth.
It must be upright, not frauded, unbiased, accurate, authentic, open, plain, etc

The data must be scrupulous with regards to telling the truth.
It must be upright, not frauded, unbiased, accurate, authentic, open, plain, etc

The data must be scrupulous with regards to telling the truth.
It must be upright, not frauded, unbiased, accurate, authentic, open, plain, etc

Been truthful
Honest
Pure
Clean

Speaking or doing the truth or right thing
Not fraud/ not act of fraudulent
True, no lying
Accurate
Authentic
Open/frank

Speaking or doing the truth or right thing
Not fraud/ not act of fraudulent
True, no lying
Accurate
Authentic
Open/frank

Everytime one publishes a paper about a company, self interest should be restricted. It is about the community for which the survey was conducted.

Everyone in all we do as far as data and information is concerned, we must be honest.

Many organizations have seen their funding canceled by the donor due to non-compliance with reality and the data collected. Some humanitarian organizations play their credibility in their collaboration with local partners who are not always trained in the principles of monitoring and evaluation.

Sometimes what causes dishonesty is lack of sufficient knowledge in the subject matter fe example it willl be difficult to report on clinical trails without knowdge in how to conduct clinical trails

Honesty is Key in data presentation and findings.

Honesty is a component of moral character that connotes positive and virtuous attributes, such as integrity, truthfulness, and openness — including clarity of conduct, along with the absence of lying, cheating, theft, etc. Honesty also involves being reliable, trustworthy, loyal, fair, and sincere

Collect, use and present your data accurately. Be clear about how your M&E processes work and be honest about any limitations to your work.
should not present data that you know is inaccurate. However, it also means that you will need to constantly check the accuracy of your data. In Module 3, you will learn about data quality assessments, one technique for ensuring that your data is accurate.
Be honest about these limitations with donors, beneficiaries or anyone else who might be interested in your work. Ideally, share these limitations before your project starts, so that people do not develop unrealistic expectations.

honest provides the true picture of the data at hand without any selfish interest. this should be done in such a way that whether there is a benefit or not, when it comes to information delivery; it should not be controlled by what should be gained if one answered in a certain way. it should be known that any unhonest information can bring damage to the image the person and the company or organisation

How can they ,donor side, know/measure the presented data has honesty?

Am enjoying what am learning so far

Interesting,
Simply not lying is not enough. True. Accuracy in data collection, conclusion, sharing of limitations and conflict of interest in your presentation. I just hoped I could get more...

We need to make sure that the data we present is accurate and be honest about the limitations of the M& E strategies.

It is very hard to maintain the values you have while analyzing data. However, honestly makes the data reliable. hence we should focus on what is valid and reliable as we want smooth and authentic output.

The most important thing always to put at the back of your mind when gathering data in HONESTY, because that will be the basis in which people will accept your research or the analysis of your data.

The most important thing always to put at the back of your mind when gathering data in HONESTY, because that will be the basis in which people will accept your research or the analysis of your data.

Absolutely, true.

honest is a principle for the data, which it's important to led the monitoring and evaluation be in the correct and truth process

Quite insightful, its quite interesting to note that "honesty"as a principle is quite broad in scope

M&E means measuring the truth about what we are trying to learn about. Therefore, we need to make sure to collect the data accurately and in order to come close to accuracy we need to constantly check it, after collecting the data we need to represent it accurately as well, we should be clear about the findings and not too strongly word it if we are not 100 % of the results. If, for whatever reasons, we had limitations on data gathering, we need to share it with the donors, stakeholders etc. Conflict of interest should be out of our M&E process.

Honesty is an important ethical principle that cannot be overemphasized time and again..

Honest as another ethical principle for Monitoring and Evaluation professionals as it ensure that the data collected is honestly and transparently collected, managed, analyzed and presented.

HONESTY-THE DATA YOU COLLECT SHOULD BE A REFLECTION OF WHAT IS HAPPENING ON THE GROUND.ACCURATE DATA WILL HELP MAKE INFORMED DECISIONS

In summary, the principle of honesty requires us to ensure that

• the data we present is accurate
• the findings of our M&E are accurately represented
• the limitations of our M&E strategy are known;
• And that any conflicts of interest regarding the project are publicly known.

Honesty in all sectors of professionalism is important. IN order to present accurate data, honesty has to be applied.
Being explicit with information is also a good thing.

It is obvious that often times you are honest i your every day life either at home, work or community which is moral, however, the standard of that is even higher for M&E professionals than it is for other people this is because data from M&E processes are expected to be as close as possible to truth. ways to ensure that your is abiding to the honesty principle includes:
Ensure the date you present is accurate
Ensure that findings from your M&E are accurately presented
Share the limitations of your M&E strategies
Share any areas your or organization may have conflict of interest

Honesty is indeed one of the ethical principles that must be truly applied in all the M&E processes. this makes decisions to be made using the data to be real and honest decisions as well.

Honesty is very key as a M&L professional. This is enhanced through ensuring that the data you present is accurate, ensuring that findings from your M&E are accurately represented, share the limitations of your M&E strategies, share any areas where you might have a personal or professional interest in a certain outcome.