Difference Between Analyzing and Evaluating (With Table)

Analyzing and Evaluating are two words which are closely related to academics, especially fields like math and science. Their meanings are often confused as people do not understand the difference between them. Their difference lies in nuances, and needs some concentration to find out.

Analyzing vs Evaluating

The main difference between analyzing and evaluating is that analyzing involves studying something in detail and breaking it down to understand it. On the other hand, evaluating involves giving importance to the analysis by determining the value of what was studied.

Analyzing something mainly involves figuring out different parts of something, and how it works. This involves exploring its elements, structure and working process. Analyzing is more objective in nature, and it is used to find the meaning behind something, or the function of something.

Evaluating is the step that comes after analyzing something. It is more subjective in nature. Evaluation is done in order to find out the quality of something, how it matches up to some set of standards. Evaluating can lead to rating something on a scale. Evaluating also means judging and comparing something.

Comparison Table Between Analyzing and Evaluating

Parameters of ComparisonAnalyzingEvaluating
Sequence of eventsAnalyzing is the first step to take while studying something.Evaluating is a step taken after analyzing something.


For analyzing, inference involves meanings, justifications and implications.Inference from evaluating involves subjective quality assessments.
Results obtainedThe expected result would be information that leaves room for interpretation.The result of a good evaluation would be assessing standard and quality.
Subjectivity/ObjectivityAnalysis should not be subjective, as it could become unhelpfully biased.Evaluation always ends up being biased, as it reflects the beliefs of humans.
ProcessThe process of analyzing is longer and complicated as it has to study data.The process of evaluating is shorter as it just needs to provide a conclusion.
Key words associatedExamine, compare, relate, categorize.Assess, judge, rate, critique.

What is Analyzing?

The origin of the word ‘analyze’ is in Greek. It comes from the words ‘ana’ and ‘luein’ which can be loosely translated as ‘up’ and ‘loosen’. The word ‘analein’ became ‘analusis’, which later became ‘analysis’ and got integrated in the English language.

Analyzing is the process of examining something in order to understand it better. To do this, if there is a large sum of data, it can be broken down to be solved better. Analysis is usually done in order to gain a larger perspective on a given situation. Analyzing is deeply connected to academic research. The first step that academics and researchers take while dealing with a topic they need to get to the bottom of is analyzing it.

Analyzing something needs to be done objectively. This is because basic needs to be neutral so that complex arguments can be built upon that solid foundation. If the analysis itself is subjective, the result could go haywire. Analysis is a difficult and intense process because of the work that needs to be put in, and the care that needs to be taken while doing it.

What is Evaluating?

The word evaluating has roots in two languages; French and Latin. Its French origin comes from the word ‘Évaluation’, which means the action of appraising or valuing something. The Latin origin is ‘valere’, which means to be strong, be worth, be of value.

Evaluating includes the process of determining the value of something. One evaluates something to find out its feasibility, quality and its worth. Evaluation is a process that is done after analysis. It is the process of conclusion, to make subjective arguments based on the analysis previously done. It does not find new things about the data, it merely interprets the data in whichever way the person prefers to do so.

There are two types of evaluation; formative evaluation and summative evaluation. When data is examined and the required skill sets for it are obtained, that is formative evaluation. When there is a goal to be achieved and evaluation includes checking if the goal has been met, that is summative evaluation.  

Main Differences Between Analyzing and Evaluating

  1. Analyzing involves interpreting data, but evaluating is the process of determining the significance of this data.
  2. To analyze something, we need to understand different components of something without any judgements. To evaluate something, we need to make a value judgement about it.
  3. Analyzing is concerned with the implications and meanings of given data, so it has to be objective in nature. Evaluation is concerned with understanding the quality of data, so it naturally has to be subjective.
  4. As it is helpful in identifying connections, analyzing is used extensively during academic research. Evaluating is not related to identifying relations, and it is used less in academic research.
  5. The process of analyzing is a longer and more complicated one, involving a difficult thinking process. The process of evaluating is easier, as it deals with concluding a subject matter.
  6. In the process of analyzing, there is no need for the study to have a conclusion. While evaluating however, everything relies on a conclusion. It is very important for an evaluation to have a result.


Analyzing and evaluating are two terms that are sometimes used interchangeably. They should not, however, because they have a lot of differences. They do, however, share some qualities with each other. Analyzing is a probing approach, looking into the subject matter in detail to understand it. It has to be systematically broken down and every connection, correlation should be brought out.

Evaluating is more of a wide angled approach on things, trying to examine the subject matter from the standpoint of a qualitative assessment. It requires making a proper value judgement after examining something based on things such as relevance, efficiency, impact etc. Both the processes are used for different purposes, to get different results.


  1. https://www.sciencedirect.com/science/article/pii/S1364032105000134?casa_token=bPoyC2YJQAAAAAAA:4_2YeJBA-_kWL_hMIfygrxab1NG00DA3tF0LmqMxl0n4u674-dZkksyo5F9hytP8lei8op3-p78
  2. https://edoc.sub.uni-hamburg.de/informatik/volltexte/2015/213/