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There is nothing more important that been honest to participants or objects. This is not only important for gathering the right data but also, maintains high integrity of the both the entity collecting the data and the objects/participants. The objects must be well or honestly informed of the purpose and intent of the data collection.

I have learnt that Honesty is vital when it comes to the channel of data collection until the last process of data presentation. M&E has to ensure that data presented to donors is pure truth and accurate for example not to
present big numbers very higher that the actual ones expected form the field.
Data collected should be confidential not harm beneficiaries emotions, feelings in later stage.
Lastly in case there an area that would add pionts/value to what is done in field this should honestly be presented for the Donor's addition of money to the project or extension of the period of the project which would be beneficial to the beneficiary.

Thanks.

Honesty is one of the key point we should look at. most time we try to do our best to make sure the data collected and presented but base on what i learn we need to be honest to our self not all the time that u will get 99.99 % data so be honest about it and tell your boss.
make sure that all the data is honestly and transparently collected managed ,analyzed and presented on time.

I think honesty is essential in the M&E process. So the M&E professional must ensure the quality of the data collected. The data analysis and presentation process must also be as faithful as possible to the reality on the ground.

honesty is very important when handling data of any type. it is into only limited to the M&E team but also to the whole project team. imagine the situation of a project dealing with males and the field worker because he has used funds to implement an activity and unfortunately, she has just females showing up, he can decide to be dubious and change the females to males same goes for age in an HIV testing program voluntary testing is allowed say for people older than eighteen. because the team is already installed in the place and ready to carry out the activity, they can choose to change the dates of births of the people below eighteen and test them without parental consent. this is violating the law and can lead to a great misinterpretation of the data when analyzed and often very misleading in decision making.
The team lead thus has to be a very conscious and keen observer.

Honesty is indeed the best legacy and one way of obtaining

Honesty it one key principle that every one should master in M&E. Honesty may at times buy trust from doners and other stakeholder that is if the M&E processes provide the intended measure which the project tries to achieve. that being the case, honesty provides information which is reliable for decision making both by the project team and the partners.
When the M&E system produces honest results, the system is sure to provide the limitations of its results as such those would use the information use them with caution

Honesty is key to the M&E process, especially in the presentation of findings. dishonesty might ruin the reputable of an organisation and put their activities in doubt. Most often, conflict of interest is an impediment to honesty and when such exist, there will be bias in the presentation of data.

Honesty in M&E is very important. The objective of an M&E plan is to monitor and analyse the progress or result of a project. Any dishonesty can put the whole project in jeopardy

Yes any data shared should be accurate because inaccurate data causes detrimental problems and instead of solving the problem , you actually create more problems due to inaccuracy

How you present the data is also of paramount. There should not be any exaggeration of an issue to avoid much expectations when you can't deliver

Remember that nothing is perfect , therefore, limitations are eminent in all our efforts. As such we need to be honest to those who are going to use our collected data

I agree with all the points raised in this topic in ensuring honesty with data collection and use. Also, honesty will mean being explicit with participants what the data will be used for.

I agree with all the points raised in this topic in ensuring honesty with data collection and use. Also, honesty will mean being explicit with participants what the data will be used for.

I agree with all the points raised in this topic in ensuring honesty with data collection and use. Also, honesty will mean being explicit with participants what the data will be used for.

Honesty is important though really difficult to abide by.

Honesty is very important and essential in M$E

Changing data for the interest of the organization is against the ethical principle especially when it comes to being honest in collecting and presenting data for use. The dishonesty in presenting data to your donor does not only cause dishonest but only alter change in the result of the findings.

the data that we have created must consider accuracy, even though the data we create is not perfect, at least the preparation of our data must be honest so as not to cause unrealistic expectations. the data that we compile must also be easy to understand and easily accepted by many people.

Honesty means doing what is right when no one is watching or listening. It is a great ethical behaviour and important in managing data that concerns individuals and communities. Therefore, M&E professionals must be cautious to present exact data collected.

Everything is fine! The course is positive

Data has to be collected, stored and transmitted with honesty. False data means false information and the effects on the project may be debletating and this can result to waste of resources. Someone can even be jailed for it.

It is best to present data accurately and in simple, clear terms such that whoever is reading it would understand without misinterpreting it.

I am honest and I like to work with colleagues who are. In my opinion, an honest team has a better chance of succeeding as there is no professional secrecy between the members, which gives the advantage to put everything on the table, discuss together and come up with better solutions.

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.

Always collect, use and present data which is accurate and never try to manipulate it for personal and/or political gains

Collect, use an presesnt data in an honest way

Collect, use an presesnt data in an honest way

Honesty is the key principal in our society today .after collecting data we need to present it the way it is .

Honesty is very crucial in M&E processes beginning from data collection,analysis and presentation because trying to pleased out stakeholder is obviously unethical.

Honesty should be maintained with data collection process. No bad purpose or to harm others, we can not use our data.

very well said but I think we should be more cautious about data collection that no one can be hurt or harmed for data.

Being honest should be the first rule of data collection, that's the way to a quality and accurate data collection. I am gratful and previledged to be part of these study.

It has been noted that ensuring honesty, transparency and independence during data collection, data entry, data analysis and reporting is vital to make sure the benefits of the project are really has been rewarding to participants.

it was very effective but please add more

what if we are asked by our superiour to change the data, so that the donor will be happy. what should we do in such case???

Presenting a honest report is integral to achieving the purpose of monitoring and evaluating a project, never the less issues might arise in data collection, where there are limitations the data collector should be honest enough to highlight such issue during presentation.

I think conscience comes into play here. In the process of data collection, we should be guided by our conscience for us to achieve our set goal when carrying out M&E activity.

Honesty is most needed think at data collection and specially at data presentation, it must need to be far from conflict of interest.

HONEST
This is one of the ethical principles.
When collecting data you should be honest on its uses.
Therefore, the information should be accurate and has no biasness to only enrich or make your donors happy.
When you feel that you have a conflict of interest, it is important to make yourself open and say where you have conflicting interests.

It’s important to be honest so you can get honestly Often, when we collect information from individuals, we promise that the data will be kept anonymous and confidential. This helps us collect information about topics that people might otherwise not want to discuss.

honest mean to my understanding that your data should be honest from beginning of interview and M&E should be report honest data

Honesty is a necessity for without it we will never know the truth.

The honesty principle of ethical data demands that data should be honestly collected, managed and presented

Honest is more than just say the truth

the quality or fact of being honest; uprightness and fairness. truthfulness, sincerity, or frankness. freedom from deceit or fraud.
The good thing about honesty is that you don't have to remember what you said.

In the NGO Sector, It is a very big chance of data corruption. With help of the M&E system, Monitoring, Evaluation or assessment and data quality checking very help to ensure quality of data.

There are situations were some people tend to present data so that the outcome favors the organization. for Example in nutrition for one to be able to get grants sometimes giving false nutritional data like high GAM rates often attract more attention to nutritional situation but i think such tendencies are what we call conflict of interest

Acurate presentation also requires the right skill set in the team and the predefined outcome and howthe measurement will be carried out

From my understanding, if you are to be honest you need to present the results as they are even if it portrays inefficiency in the team performance. from this will be able to generate lessons learnt and improve our performance

Honesty is a great principle of ethical behaviour in M&E as it requires absolute and correct presentation of data without any form of bias. this is because inaccurate presentation of data will lead to wrong conclusions. honesty requires sharing of limitations experience as this will help to a better approach in data collection

in the honesty we are now looking at the organisation and maybe its funders. we have to have transparent data practices for out data to easily be understood

HONESTY IS GREAT CORNERSTONE FOR HAVING THE ACCURATE DATA WHEN ACCURATELY PRESENTED AND COLLECTED SO THIS WILL BE THE BASIS OF STRONG DECISION MAKING OF MY ORGANIZATION. ALSO LIMITATIONS IS A GOOG PART IN M&E PROGRAMS.

Honesty, a second ethical principle, has a broader definition here. Data should be collected accurately, and all findings presented accurately; any limitations to be shown, & conflicts of interests timely reported.

My organization would ensure that the data collected is honest and accurate by stating the opinions of others and identifying the limitations that may have occurred in the report.

Been honest not only creates a good imagine, but it enables an organization to make decisions that are of benefits the target population. M&E practitioners ought to make sure they provide accurate and verifiable data.

Being honest as a M&E professional is very important ethical responsibility. There can at time a lot pressure on M&E staff to be less transparent and honest.

Honesty when it comes to data is very important, this help to maintain as well as create an environment where is builds a sense of ownership, when the participants are honest in all the stages of data process, their is a guarantee that our data will also be accurate.

Collect, use, and display your data correctly to be honest. Be honest about any constraints to your job and be open about how your M&E procedures function.

Data need to be accurate because it is the lifeblood of our economy. If you’re not paying for a product, then you are the product.

Honesty is very important, especially since your data will be used in decision-making. If you are not honest people might end up making the wrong decision using your data this might affect your company or those people that will benefit from your project. Do not be biased because you have a special interest in a particular area of your project, don't forge figures, do not misrepresent your conclusion heading just to gain the attention it will mislead people and always be honest and declare your capacity and inabilities to avoid giving people high hopes.

Is it a course?

Data needs to be collected honestly and presented honestly without any biases as this would be unethical

As stated at the beginning of this section, honesty in M&E goes beyond just avoiding lying. it is common practice for researchers to exaggerate their findings to convince the donors. This paints a n inaccurate picture about the subjects of their projects.

It's not enough to simply tell the truth in M&E. Wow, I think this has stood out for me concerning honesty, good food for thought.

This means even at the level of recruitment, the HR team should consider applicants that value honesty to join the M&E team. I am learning so much, thank you!

Ensuring findings from M & E are accurately represented is a huge risk when assessing data, without proper understanding of other factors that influences the outcome/ impact the findings can be skewed and is unlikely to present a holistic view of the situation.

Monitoring and Evaluation is all a bout honesty, otherwise if honesty is not observed the report a bout the project is biased. Every step in monitoring and Evaluation should be known to the project stakeholders.

Being honest about any limitations to you work
competence by having professional skill required

It is important to keep data as honest as possible.
Verification of data is important before it is presented.
Be transparent to the stakeholders about the teams limitations.
share your profession relations with stakeholders.

this module is very touching, honesty is the basis of any evolution

Honesty can also be related with data quality and mislead the decision makers. Unless exceptional, objective data collection and data triangulation will help to enhance honest in M&E.

An honest data presentation will tremendously help in achieving a lot in any project

Honesty in the M&E process cannot be overstated. Practicing honesty with data collection and use is beneficial to any project for two main reasons. First, honesty as operationalised by presenting accurate data helps the project team determine areas of success and those that need improvement. If data collection is done regularly, the project team is able to make timely decisions based on honest evidence. The other benefit of being honesty in the conduct data gathering and presentation involves articulating the limitations in terms of the M&E processes. By conveying what is and what is not covered in the M&E process relieves the project team from the pressure of producing evidence that is beyond what can be possibly collected based on the context of the project sites and the resources of the project team. For these reasons, it is advantageous to the project team to observe honesty in its M&E process.

honesty is an essential element in M&E, because it means every data collected will be reflecting true picture of the actual occurrence. it also help in making informed and impacting decisions because the intervention will be truly addressing the actual matter,

For me honesty is or should be the way of life, if you want to a professional in every expert of your life you should honest.

I think this is equally an important part to consider as a data collector and equally a field volunteer.

The honesty principle is not easy to implement for all; however, it should be stressed to all members involved in M&E activities that the integrity of a project's results depends on it. We aim to show the true things that are taking place on the ground regardless of what situation the project faces

honesty is an essential element in M&E, because it means every data collected will be reflecting true picture of the actual occurrence. it also help in making informed and impacting decisions because the intervention will be truly addressing the actual matter,

honesty is key in M&E because for evaluation to be accurate it has to come from true findings. otherwise it would not help in making informed decisions. again monitoring has to be truthful so that the report should also reflect true matters.

honesty in monitoring and evaluation participate to your evaluation quality

super!! i agree with this opinion

Honesty is very important in Monitoring and evaluation. Under honesty er try to be as honest as possible by: Ensuring that the data presented is accurate, ensuring that the data by M&E is oresented accurately, by declaring and sharing limitations in data collection and by declaring and sharing personal as well as professional interests

Keeping it simple and accurate and providing the limitations shows honesty in your data. Honesty is so key in data presentation as it gives realistic expectations and limits unrealistic expectations

Never compromising is part of keeping your data at an honesty level. So never compromise no matter what.

This conflict of interest happen a lot especially when there is incentives for any one who hits the program target.

Good M&E system is very important of successful program.

Some knows that not to be honest is the unethical side, but it is difficult as well to sustain their financial source if the data shown disappoint their donors. One thing to be foreseen is making decision on time to the project implementation instead of waiting until the project end.

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Honesty, brings in a conflicting aspect of M and E, where organizations Will have to stand by the truth, despite their organizational needs, but it also brings in room for solving the companies limitations, by acting us a guide line for improving companies short falls in M and E.

It is very unethical to manufacture, create or fabricate data. It totals to dishonesty.

This is actually a standard to take into consideration more often. We need to be careful with biased opinions, and need to state facts, not opinions in our data collection and analysis. Also, the use of the correct words to phrase a paragraph, an outcome, a report, or similars; should be based on facts, and we should not allow to mislead on a certain topic.

This is helpful. My organization will ensure honesty in our date functions so as to get a realistic and clean date.

Being honest is essential in presenting data. We can tackle a lot of problems by just being honest.

Being honest is essential for data management. We can tackle a lot of problems by just being honest.

Being honest is essential for data management. We can tackle a lot of problems by just being honest.

Learning cultural competency is big a deal

M&E data should always be true and transparent. The importance of honesty in M&E processes cannot be over emphasized.

as a M&E officer you always have to be honesty in any situation in time of data collections and presentation of report for decision making, because honesty is the key success to your data and also to you personality as an M&E officer, changing data to make some one or organization happy is deeply dishonest and, therefore, is unethical. to do that

Interesting Principle

Interesting Principle

Honesty mean be clear in front of donor sometimes data quality is issue same time deadline is major issue that time be honest in justification its was not happen due to list if reason