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Competence defines how we use our designed tools and skills to implement. It is therefore defined that failure might occur if strategies aren't put right. Therefore there is need of understanding and decline that which can lead to under achieving.

Competence is one of the best method to maintain the data quality. We should provide skilled professional service.
We also abstained from un skillful data analysis process.

Competence means that the Team must ensure that they have the cultural and technical skills to carry out M&E processes.
However, the principle of competence states that you should only use tools or processes when you are confident that you have the skills (both cultural and technical) to use them competently.
If you and your team carry out M&E processes without the required technical or cultural skills, you might unintentionally cause harm or present data that does not live up to the honesty principle.

Let's ensure that we have technical and cultural skills before we get engaged in the M&E processes

Yes. I agree all above.

I think being competent is a virtue that guides you to provide truthful information as possible. We shall not take shortcuts to reach the target and bringing out water porous information

Provide skilled professional services. In cases where you aren't sure of your teams ability to provide the required technical and cultural skills, the best option would be to decline the M&E process in question.

Be genuine with your skill set

How can one declined in implementing of modified M&E tool when one isn't trained on how to use it? because a times, being a junior staff, one might just be instructed to conduct within a set time limit.

It is important you carry out the M&E process that you and your team have enough competence and if not improve your knowledge or skill in such

The competency, “knowledge of and practices with data analysis” involves the process of applying statistical and graphical techniques to data in order to discover useful information.

1- Apply statistical skills to data sets using the right tools
2- Use an adequate data analysis software
3-knowledge how to read and create charts and graphs

Learning is a continuous process. Thank God with technology (google & youtube) we can learn, practice and understand these data tools free of charge in our homes.
In my view and for the purpose of generating quality result, we should keep on exploring and having significant discussions with colleagues and those with good command.

One of way of building up competence is by working with more experienced people from whom we can learn and pick up good practices.

To ensure competence in your team, they have both technical and cultural skills about local people where the project will be contacted. The team should understand local cultural norms of people around to avoid things like language barrier. This helps in preventing any unintentional harm and data which is not honesty. Don't accept to run project that you don't understand local cultural norms of people around.

I need the note to read.

To provide the necessary data to guide strategic planning, to design and implement program and project to allocate and relocate resources in better way

Importance of technical and cultural skills is emphasised as these could be barriers to the M&E processes for data collection.

So true cultural skills have been ignored in the past because of assumptions.

If an incompetent person works on one of these processes, it is likely that the data produced may have no meaning. Therefore, it cannot be used for making decisions.

Competent team members ensure smooth running of activities and avoid unnecessary errors that may occur due to their high skill levels in the work they do. Skills as seen so far can be technical i.e in the work you do and cultural which is how you relate with the people you are engaging with

Competence of each m and e team should be checked before they are allowed into the project

competence and being skilled enough on M&E is vital as experience is needed a lot

Invest in your team, make sure they keep learning and growing..

From the discussion above about the three principles how best can one encooperate the three into one and adapt them in an organization

Competence is key to achieving success in anything we do, including M&E and we must ensure that our team are competent enough to carry out the processes involved in M&E, train them regularly.

Excellent, in this part I said the team must be competent. I will give you an example, when I worked as an analyst in this research firm, there were surveys that were done in the capital through cellphones, that is to say digitized but, when there is a project in the provinces, there we harvest more with paper forms given their incompetence to use laptops that does not allow them to properly collect data on the ground.

I thought that a company which is chosen to carry out the investigations, must be really equipped, to also see the quality and the competence of these investigators in the field. It will allow them to reach the quotas and the ease of investigating

competence, and monitoring the quality of data that sets you apart from competitors

The COMPTENCE is without any doubt a must-have for the set of ethical principles because this one is technically critical and fundamental to deal correctly with the M&E process.

The COMPTENCE is without any doubt a must-have for the set of ethical principles because this one is technically critical and fundamental to deal correctly with the M&E process.

The principle of competence cannot be over-emphasized. Organizations need M&E personnel that is qualified for the position. This will help when there has to be research assistants hired for data collection. These will be trained by the M&E personnel on how to conduct data collection. This will ensure that data collected is as accurately as possible and will save the organization resources of hiring an extensive trainer who might be very expensive. For instance, cultural competence is crucial when collecting information on KPs, as enumerators explain the questions to them they need to know the language that is not offensive to KPs; one wrong word and we have lost them. Research skills and competence is a must!

Highly recommended

Competence of an M&E team must be sound enough to ensure that beneficiaries don't suffer harm and honesty guaranteed. Competent person can be sourced outside the permanent organization/project staff.

its no shame to decline doing something that you lack skills for

Competence of an M&E team must be sound enough to ensure that beneficiaries don't suffer harm and honesty guaranteed. Competent person can be sourced outside the permanent organization/project staff.

Competence of an M&E team must be sound enough to ensure that beneficiaries don't suffer harm and honesty guaranteed. Competent person can be sourced outside the permanent organization/project staff.

I believe in working with technical expertise but is not bad bringing in new people and getting them equiped or trained in the process.

Competence is the root for achieving good monitoring and evaluation processes in every organization because it plays a vital role. competences consist of tools and techniques to be used, familiarity, technical know how by the members of the the team and cultural background knowledge of the community or the project locations. in addition the principles of competencies should state that training and workshop should create by the organization in order to equipped the members of the team.

It is important that data collectors are trained to use the tools competently to collect data. Otherwise, the whole data collection process could go wrong.

Continues learning should be a habit, as the world is changing continuesly and rappidly. we should equip ourselves with necessary knowledge and skills to compete and fit.

How do you gain mastery of processes when you decline to those task that you can not handle? To me declining to run M and E processes is not the best option rather seek a way getting close to those with the required skills and learn while getting the job done.

Understanding the dynamism of M&E is very important. In carrying out your duties as an E&M, you need to understand the cultural beliefs and the norms of the organization or community in which you are carry out your research. your proficient and your professional skills when applied in data collection helps you to have a better understanding in your field.

Well, I think the entire workforce should be given feedback in whatever efforts they are making, again a performance appraisal needs to be carried out in a timely manner, this is to identify areas of strengths or weaknesses in people. Likewise, one of the most important aspects to consider after the appraisal is the implementation of action points as it could assist stakeholders to focus on the skills needed by their team.

Competence is required both culturally and technically skills.one needs to be careful not to harm the data supposed to be collected .One needs to have the required competence skills before data collection understanding the participant and the places he or she wants to collect data from to collected accurate information required.

Monitoring and evaluation should be designed with the context of the field in mind. This will help data collection to be familiar with cultural dynamics, beliefs and attitudes that might affect the data.
An organization should also empower it's team members in the monitoring and evaluation roles with technical skills to be able to design effective data collection tools, and also administer them appropriately

M&E is evolving with new tools and skill been developed rapidly. M&E team should be willing to invest in new tools, technologies and methods to improve their skills etc. As we live in a digital evolving world it becomes very necessary to adopt to digital data collections methods like survey monkey , Do forms etc.

Competence beautiful word

It is very vital that if you and your team carry out M&E processes without the required technical or cultural skills, you might unintentionally cause harm or present data that does not live up to the honesty principle.

Technical and cultural knowledge is essential in any M&E process. M&E team must possess the required technical as well as cultural knowledge to complete any given M&E task. M&E data could be falsely represented if cultural knowledge is not taken into account. Secondly, M&E staff must commit to continual self and team improvements.

M&E team leaders should make sure the skills of their team before sending to data collection, because if you do that and some you team are not well skilled for data collection or using some to the tools, then your data would be competence

some times the skilled M&E Staff depend on the allocated budget for the M&E

Being able to do a specific type of work with the required skills and qualifications is competence. If a person does not posses the skills to do a job efficiently but bangles it up, that person is regarded as incompetent.

Indeed competency is one important factor in M and E... if this is undermined, your system might end up causing harm and present cloned data to donors and other stakeholders.

An incompetent team without the skill to manage any data will not produce an accurate picture of the project implementation.

What if decling an M&E offer which one is not competent with is a way of improving competency?

It is important we understand the cultural dynamics of a community before going to collect our data. sometime in communities we women are most at times not allowed to speak to men. so it is important as we go to the field for data collection, we have both men and women in our team. This may encourage women in the community or make them feel comfortable talking to women. For instance if we are taking data concerning gender issues, it is important that we have women in team because women may rather feel comfortable talking to a woman rather than a man.

For me if we are competent we have to know where we are going. If people are to collect information in the field, they must have the necessary skills.

The quality of the data must be suitable to the program's purposes, ability to solve available problems, competency.

The quality of the data must be suitable to the program's purposes, ability to solve available problems, competency.

The quality of the data must be suitable to the program's purposes, ability to solve available problems, competency.

The quality of the data must be suitable to the program's purposes, ability to solve available problems, competency.

The quality of the data must be suitable to the program's purposes, ability to solve available problems, competency.

The quality of the data must be suitable to the program's purposes, ability to solve available problems, competency.

Having the ability to do something g, act of been able, competency,

Able and will
Suitable
Ability to do something right/ solve a problem right

Anything we want to do, we need some sort of skills to accomplish such task.
In terms of data collection, even the way to approach data sources should be taken into consideration. So in a team, we may delegate some members for data collection and others for data analysis and reporting.
It is not necessary for everyone in a team to master every skill

it is very important to stay honest , we are working with data therefore we should try to be as scientific as possible. remember these data are people and we should be respectful and honest

Competence and honesty go hand in hand.

it is advisable to recruit personel for the differnt M&E process who are competent in the area. For example for analysis we need people with the right skill to analyse data both quantative and qualiatative
also it is impontant to conduct training for all the personel involved in the m&e process before embarking on it to produce accurate and relaible data

you should only use tools or processes when you are confident that you have the skills (both cultural and technical) to use them competently.

Competence is a key factor in Monitoring and evaluation and as such must not be compromised so as to ensure accuracy of data. however Technical and cultural skill must be put into consideration in other to ensure that data presentation does not cause harm.

According to my understanding, ethical competence consists of a moral agent's ability to identify value conflicts and ethical dimensions, ability to choose one value over another based on logical reasoning, and ability to act based on the judgement that has been performed

competence requires one to learn various skills that will help with the data and information being taken care of to be of good quality. this virtue provides true picture of the information collected

Competence level is vital to doing a good job. It determines the outcome of each and every activity. It comes through leaning, practice and experience.

It's all about technical and cultural skills. They are the qualities of a good M and E team.
Nice one.

Competency, language ability are always keys for the success of any data gathering.

Absolutely right.

From day to day work, we need to continually improve our skills. Using a tool or process you are not familiar with or you do not have adequate skill may result in misrepresentation of information

Understanding the cultural dynamics and having the technical skills to carry out M&E process is very important. If we do not understand the culture, do not speak the language, are not aware of the gender dynamics or if we do not know how to deliver to stakeholders' needs, how to archive the data properly or how to design the surveys, in the end we will damage the program, we might damage the safety or the dignity of the beneficiaries, moreover we will not be able to deliver what we promised to the our donors. We need to know what we can do and if we are not ready to take the task, we should inform the donor. Finally we have to continuously educate ourselves and improve our skills to do the work accurately and properly.

M&E professional should have skills and competent enough in M & E tools for data collection including Theory of Change,Logical Framework (Logframe),
Monitoring and Evaluation Plan,Statistics – Open Datasets, System Data, Surveys, Interviews and Focus Groups discussion together with other M &E tools for data collection, Management and Analysis.

In summary, the Competence Principle is about "providing quality professional services":

• having the technical and cultural competencies to do so;
• ensuring that one is sufficiently equipped to carry out an M&E process;
• Continue to invest in learning to improve these skills.

Language and cultural barriers are actually some of the most realistic limitations in data collection at strange places. More information and relevant learning strategies should be contributed to these limitations.

in as much as there are several M&E tools and processes of data collection, management and annalysis, the principle of competence however, states that you should only use these tools and processes when you are confident that you the skills both technical and cultural to use them competently.
Decline to run any M&E process that your not equipped to do well. this means that if your team dont have the skills to a run method decline it and stick to the one your understand

An individual who is skilled in both technical and cultural aspect is really competent. we must make sure that when handling M&E processes, we are double sure of what we really want to do. otherwise lets invest more in learning new skills.

The principle of competence states that you should only use tools or processes when you are confident that you have the skills and this can be done by ensuring that you have the cultural and technical skills to carry out M&E processes, decline to run M&E processes that you are not equipped to do well and continually improve your skills.

A well designed system should be implemented.
This system should be a link between the org it self and the customers with the stakeholders and maybe the suppliers.
It should provide information to the user with a big view

key to competency is improving your skills

improving on your skill cannot be over emphasized. very key to making progress.

Great information.

Continually improving technical and cultural skills of M&E team to build competence is very good counsel.

Less qualified individual are engaged in M and E due to weak and porous recruitment process. There is a need to be strict to the right standard so to have the best findings as possible

The competence principle is a tricky one to navigate given the nature of the areas some of us operate in. However, this can be made as easy as "ABC" if we totally agree and engage the honesty principle wholly.

competence is ability and capacity of understanding, doing works , leading and skill knowledge in any experiences to pursue goals

Culturally and technical skills is required during the implementation of M&E activities

My take from this session is that a researcher should limit himself/herself to areas to best understand on what is required and how to handled issues involved.

competence demand the social, cultural and technical skills to collect, sort, organized and analyze the data. If you don't have the required skills, focus on continuous improvement, otherwise, decline the process or shift it to somebody else.

Competence in practice is important. I most say that it takes one being hones to oneself to actually admit that one is not competent in a field.

Ensure that you have enough technical skills and culturally to carry out M&E process

Having good knowledge of the task to carry out gives the first hand impression of how successful the activity will be carry out. Therefore, competencies in data collection is very vital in ensuring quality data.

We must always seek to ensure that we are competent in handling M&E processes. Continuous, constant learning will help us achieve this.

Learning should never end. As processes are improved on, we must seek to catch up in knowledge and ensure there are no gaps.