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Although closeness to the true value matters, for me, accuracy isn't the main criterion for a quality data especially if that accuracy has only been obtained once. Accuracy, if not consistently been observed among the data, can possibly be just a result of a random error (or Indeterminate error). Consistency matters a lot as well as sampling. Although, having high accuracy for data will always be better than having the accuracy low. To answer the question on which is the main criterion for a quality data, I must say that there's none. Accuracy, precision, sampling and experimental/research design are equally important and must all be paid attention to in working on data gathering and analysis. They are all interrelated and what makes a data reliable is the balance of these four.

- Jamie

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Accuracy is one of the main criterion to determine if a result is high quality because it is a parameter how close your data are to the true value, however precision should also be considered to determine if a result is high quality.
Precision is a parameter to check if the data values gathered are close to each other, meaning they are replicable. Both should be considered in determining if a result is high quality because if one of it is low, it would mean that there is something wrong with procedures or execution of the experiment.
- Bernard Yumul

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I believe that a quality result is a result that appropriately serves the purpose of the study and is done with proper methods and analysis. This would require a hypothesis to be proven. As such, a quality result requires both precision and accuracy, as well as efficiency.

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In my opinion, quality result is not mainly dependent on the accuracy of the analysis. In statistics, no such result can be obtained 100%. However, it is highly required for an analysis to be done with high accuracy and PRECISION. During the intersession, I was taught that accuracy results from testing the population of data. For convenience and due to limited resources, precision is widely used to determine the quality of a result.

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I believe that a quality result must be accurate; however 100% accuracy cannot really be achieved and this is the reason why we include uncertainties in measurement. Furthermore, precision is another factor in achieving a quality result. There must be reproducibility of results.

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My idea of a quality result is one that exhibits high accuracy and high precision. Also, it is essential to provide some measure of the uncertainties associated with computed results to estimate their reliability.

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I belive that a Quality result is a result that would give consistent answers.
Timmy

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A quality result does require accuracy, considering that it measures the closeness of the obtained data to the true value. Although accuracy covers the sampling conducted, and whether it is representative of the whole population and the statistical tests and analysis used in interpreting the data, another important factor would be the precision of the data. Precision is important because it determines how replicable the data actually is. These two factors must come hand in hand. If one or the other is low, it will lessen the reliability of the analysis done and affect the overall quality of the research. - aria

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A result can be considered high quality if it has established good accuracy and good precision.

Accuracy is defined as the nearness of experimental value to the true value. Having a high accuracy means that there is low error in the results

On the other hand, precision is defined as the agreement between values in a set of data.

In addition, following the Steps in Analytical Process would help on ensuring the quality of the result. Setting an over-all plan, preparing the samples properly, removing interference, knowing the amount of analyte, and lastly reporting and interpreting the data well.

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Accuracy is indeed an important point to consider when it comes to experiments, since it shows if our results are close to the accepted or theoretical values, it isn't the main thing to consider. We've always been told that accuracy doesn't equate to precision and vice versa, and that's what we should uphold in experiments. Precision ensures that our results are not just based on random luck, and that our data is replicable.

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While a result needs to be accurate to establish its reliability, it also needs to be precise. To check for a result's precision is to ensure that the result's accuracy isn't coincidentally a result of errors. It is also important to check the reproducibility of the results.

- Chris

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My idea of a quality result is a result that lies within predetermined and desired criterion. For example, if there is a synthesis of a substance that exhibits a property, manufacturers may want X % of the property exhibited. A quality result may be a range of values close to the value of X. Using analytical methods minimize interference, using such methods, results may be more accurate and precise. Without a scientifically tested baseline for comparison, the quality of the result might just be those desired, predetermined, and hypothesized values.

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Is Accuracy the main criterion for quality result?

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Is Accuracy the main criterion for quality result?

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Accuracy. Getting it once, statistics will tell you that you had it by chance. Doing it twice, might be a coincidence. Only when the measurement is repeated a number of times (>2) and getting a reasonable accuracy with each result will one could truly say that it is of quality. Also, improving accuracy entails cost, thus being too accurate (up to 6 decimal places) for an analysis that only requires to two decimal places would be unnecessarily be expensive and sometimes doubtable.

-nik

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A quality result can be described to be a precise and accurate result with respect to the kind of experiment conducted. When an experiment calls for identifying the presence of a certain component within a system, what matters in this situation is the precision of the experiment; whether such component exists within the system consistently. Other experiments however call for a great focus on both accuracy and precision, which is more common in the experiments we encounter in our lab classes.
-mj

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On the surface of scientific inquiries, a quality result considers accuracy and precision, in which it aims to be as close to the true value with much repeatability. However, in the real world, this proves not to be the case since plenty of things are still left undiscovered. I'd like to propose that a quality result is a result that satisfies such uncertainty and sets the way in becoming the standard for other studies to follow. It is properly aided by the scientific method, by proper lab etiquette, and branches further to development. It is a quality result too when it has exhausted all means of inquiry and perspectives in viewing the study. At least, that's the way I comprehend it.
- Cece

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Quality result needs various criterion. Accuracy is indeed one of the main factor of a quality result, however it should not be the sole criterion. Precision is also important as accuracy. Accuracy shows how it is close to the true value, and precision shows the consistency of the data. These two are important  and they both need good instruments, laboratory disciplines, calibrations, and appropriate tests and methods in analyzing the analyte in its process. However, I think a quality result must ultimately answer the analytical problem that we were to solve, and for it I think both accuracy and precision is needed.

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A quality result should be 1) accurate, 2) precise, and 3) replicable; where:

1) The degree of similarity of an analyst's results to a set standard by the industry is at a significant  extent;
2) Possible sources of error in analysis have been reduced to no longer have an appreciable effect on the integrity of the results; and,
3) The result obtained in analysis should be easily reproduced by other analysts through the same method used, and even alternative methods of analysis should be expected to yield same results.

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Similar to the others, accuracy must not only be the main criteria when determining the quality of a given result. Other factors must also be considered. Such are dependent on the needs or requirements of a given analytical problem.

For example, in the identification of an analyte from a matrix - there is a need for the method to have high selectivity to be able to distinguish it from the other compounds in the solution. There is still a need for accuracy, however, it is not the primary characteristic that is considered.

With all these in mind, we can say that a quality result is one that meets the standard of the consumers or the market that the analysis is intended for. Proper appropriate methodology must have been used - allowing the data to have low sources of error, as having such could be harmful to its stakeholders and would incur more cost in redoing the analysis.

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While accuracy is indeed an important factor in determining a quality result, precision must also be taken into account.

Precision displays how much a certain procedure can replicate its results, and accuracy determines whether the procedures result is actually reliable.

Settling for an inaccurate but precise result would mean all your data seems to be different from the true value/result. In that case of quality, the threshold wherein it can determine whether the presence of or otherwise could be off.

Meanwhile vice versa would mean the data is somewhat close to the true value, but its results are harder to replicate and there is a larger uncertainty/standard deviation in its results

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Accuracy can be a crucial factor in having quality results. As mentioned in a previous comment, this criterion will depend on the analyte being measured. As accuracy deals with comparing a measured value to a standard or accepted value, it is more difficult to determine because the true value is usually unknown. Other factors such as precision and sources of error must be considered. Precision is important to see whether repeated results agree with each other. Thus, quality results must be both accurate and precise. It is important to take account what types of error occurred in experimentation to understand why such results were achieved and if such errors significantly affect the findings.

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Accuracy is a central measure of whether a result has a good quality (meaning a good supporting evidence in quantitative terms) assuming that there is a true or theoretical/ideal value available. Given this, it is a fact that accuracy is a main criterion for quality of findings however it is not the only criterion. I believe that precision is also one of the main criterion as it represents reproducibility  which adheres to one of the principle of science which is replication. Overall, I think that the criterion changes along with the demands of the purpose of whatever is being done (science) all for searching for truth.
-Galenzoga

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A quality result for me would be an accurate, precise one. I would look for reproducibility as well, since if it is indeed a quality result it can be easily repeated using the same method. However, I do think that this qualification of a quality result is more applicable to quantitative analysis rather than qualitative analysis wherein you just identify the presence of a substance.

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I think accuracy is important as it determines the closeness of the result to the true value but precision plays an important part too. Precision tells you that you were consistent in preparing the samples or not which could help in tracing or disregarding errors.

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A quality result is not just defined by accuracy and precision. A quality result is a result that gives an appropriate answer to the specific question being asked. It makes sure that the need is being answered. Even if you have most precise and accurate results all of these are moot if it does not address the question being asked by the scientist or client.

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I think accuracy is one of the main criteria in defining a high quality result since it is the purpose of analysis - to determine the concentration of the analyte and make sound conclusions with the data gathered. In maintaining the quality of products to be sold, an analysis is conducted to ensure that the manufactured products passed the standards set not only by the company but also the government. Having inaccurate results in these analyses will impose a great problem to the consumers - products will be sold to the public even if it did not really pass the test. - Mel

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I think accuracy is one of the main criteria in defining a high quality result since it is the purpose of analysis - to determine the concentration of the analyte and make sound conclusions with the data gathered. In maintaining the quality of products to be sold, an analysis is conducted to ensure that the manufactured products passed the standards set not only by the company but also the government. Having inaccurate results in these analyses will impose a great problem to the consumers - products will be sold to the public even if it did not really pass the test. - Mel

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Accuracy is a crucial criterion for a quality result as it shows how close it is to an accepted, true value. But high precision of the results should also be kept in mind to ensure its replicability. I also find timeliness of the result to be as crucial as the two since time affects its relevance as well as the accuracy. -jen

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I think a quality result, especially the quantitative ones, should have a high precision and accuracy coupled with good statistics because these are measures of reliability of the method used. The data from which the results are obtained from should also be a product of good laboratory practices, mastery of the method used, and honesty on the part of the person doing the experiments as well.

However, I also think that a quality result should be a result that directly answers the objectives of a study or experiment because doing a method that does not fit the objectives, no matter how high the accuracy/precision is, is kinda useless.

- Camille

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Accuracy alone shouldn’t be the main criteria in assessing whether the acquired result is good or bad. In order for a quality result to be considered good it must be reliable and reproducible at the same time. A result that is high in accuracy suggests that the experiment done is reliable as the acquired value is close to the correct/true value. Meanwhile, higher precision indicates a result that is reproducible as the measured values exhibit consistency and proximity. Moreover, a result that is high in precision and accuracy suggests that the test method is repeatable, sampling technique is done appropriately and samples are reliable.

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Accuracy describes the exactness or closeness of obtained data to the true value; hence, it is important in describing the quality of results. However, precision is just as important because it reflects the closeness of data obtained in the same manner.  A quality result is therefore characterized by high accuracy and high precision. It can be obtained by good laboratory practices.

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Without a doubt, accuracy is an important criterion in determining the quality of a result. Accuracy shows that the results meet a certain standard. However, if we are to identify just one main criterion in judging results, I personally think that precision is of utmost importance. High precision indicates reproducible results. Reproducible results are always a characteristic of good results, while accurate results might not even exist (when there is no known expected value).

Moreover, in research, there are always new developments and observations that may challenge the theoretical results. Sometimes, observations that consistently deviate from the theoretical value are found to be exceptions, that may open up new questions and topics for study.

Low accuracy could either mean bad results or new phenomena worth observing, while low precision, more often than not, just means bad results.

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For a result to be considered of quality, I think accuracy is one of the main criteria, but there are lots of other factors working together to attain such a state. The importance of these other factors could not be discounted. To be able to arrive to a quality result, your sample must be representative of the entire subject you are testing because it is close to useless if what you have does not resemble what you are supposed to find out about more. Aside from this, good laboratory practices and topnotch equipment are also essential to be able to  obtain useful results. What you are testing must match the method at which you are testing it. Reliability is even more solidified if your results are precise since that allows for reproducibility. Lastly, at the end of the day, a quality result is indeed of quality if it resolves whatever it is that drove the testing to happen, such as for curiosity or, more often than not, problem solving.

- Charles

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For a result to be of quality,  it must best represent the subject of focus. In the context of laboratory experiments and analysis, the analyte can be best represented through results that are backed up with substantial data with good accuracy and precision. A lot of factors can take in and affect the accuracy and precision, which also invariably affect the outcome. This includes having good laboratory practices, using appropriate methods, and such. Having more-than-enough data (assuming that its methodology is appropriate) can further validate the outcome of the experiment.

-Addy

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I think that accuracy is a main criterion in determining whether the result is of quality, for if the result is accurate, it shows that one has chosen a good instrument, method, and statistical treatment for the experiment. However, precision of the data is equally as important, for if precision is lacking within the data, it shows that one has encountered an inconsistency along the way, which also affects the quality of the result.

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I think that accuracy and precision are criteria for a sample especially if it is in a quantitative sense. But there can be false senses of accuracy if the sample mean is treated as the true value. Incorrect handling or collection of samples may lead you to believe that you have accurate and precise results but that is only a representation of the quality of your instrumentation not necessarily the result obtained. In qualitative analysis however accuracy can only lead you a few ways. For example, you are testing for halogens using silver nitrate; it is more of a yes or no type of observation and therefore the accuracy is not as strict in a sense.
-Jan

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Neilson: I think that accuracy is one of the biggest factor to consider in ensuring the quality of an experiment. Given that Quality Analysis is vital in every industry to ensure that the prodcuts are safe and should be validated by undergoing several standard protocols, the results should be as closest to the true value as possible as it will basically dictate the quality of the experiment. However, the precision should also be taken into consideration because as analysts, finding the error where the deviations stem from should be detected and corrected to yield better results. Personally, i think that in some way, accuracy encompasses precision but not the other way around. If the results are  really accurate, chances are it might have good precision but good precision does not really equate to having good accuracy. In any way, the importance of both accuracy and precision should not be discounted in every experimentation.

-Neilson

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For me, high accuracy and high precision characterizes a quality result. A result having good accuracy means that its value is close to the true value. Moreover, a result with high precision means that the values in the set of data agree with each other. However, it is also important to note that having good precision but having bad accuracy means that the result obtained are not of quality and mistakes have been made along the process, which proves further that high precision and high accuracy go hand-in-hand in characterizing a quality result.
-ely

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In my opinion, a quality result can be achieved through selecting a good representative sample from the population and applying appropriate analytical technique, statistical treatments and analysis to it. If the result reflects high accuracy and precision, after following the previous steps, then it can be considered to be of "high quality". -tinay

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I think that the characteristics of a high quality chemical analysis is having high accuracy and also high precision. I think that both are necessary since both will help in determining whether results in an experiment should be/should not be considered valid. Accuracy is important as statistics test use z/t values to determine how close the data is to the true value, which would reflect how well the experiment was performed. While precision is important in showing how reproducible the experiment data is. However, a problem in accuracy is that it is almost impossible of knowing the population mean so in statistics, the sample mean is used. -trisha

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I think that accuracy is often seen as the main criterion because it compares the value that is obtained experimentally to the true or standard value. However, I personally think that while accuracy is important in any chemical analysis, one should also take note of the precision of the data obtained. Just like what others said, I think that high accuracy and high precision is the best characteristic of a quality result. Aside from this, I think that honesty and validity of the data is also important in quality result. It is important that the result is obtained through the actual experimentation in the best method possible for the designated test so as to provide a valid data to reveal the true result of the experiment whether it is close to the standard value or not.

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For me, it is important for a quality result to be accurate since having good accuracy means that it is close to the true value, which can be an indicator for reliability. However, this is not the only criteria for obtaining a quality result. It must also be clear in distinguishing factors that could affect the results of the experiment, as the high accuracy could have been caused by factors that were not taken into account. Another factor of a quality result would be one that can provide a clear explanation for the problem that was encountered. -Sema

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I think that the characteristics of a quality result include high accuracy, and precision. Between these two, I think that accuracy is the main criterion in having a high quality result because it is the measure of how close the result is to the true value. A result that has high accuracy is more reliable than a result with low accuracy. The result's reliability, I think, is what dictates its quality.

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This is a very interesting question, sir IKD. I think it depends on the analyte we are measuring. For example, if we want to quantify trace amounts of lead in a sample, we want to ensure high accuracy of the method, but if we just want to know if lead occurs in the sample, such as a "yes or no" question, then perhaps the criterion of accuracy is less strict in this case. - Alissandra