DATA ANALYSIS METHODS FOR TIME FREE

The range is also a type of quantitative data analysis where you find the gap or the difference between the lowest and highest number. In fact, frequency is a standard to calculate the average or the mode in the dataset.Р В РІР‚СњР вЂ™Р’В®ven if you donР В Р вЂ Р В РІР‚С™Р Р†РІР‚С›РЎС›t have to find out the frequency or the mode in the dataset, it is better to know the most frequently occurred number in the set, because it would tell you the repetitiveness in the event. It means how many times a number repeated in the dataset. For percentage, you use %, percent, or pct. The percentage is a ratio or a number that gives you a fraction of 100. Mode-mode is the number that is most frequently repeated in the dataset. Median-it means the central or the midpoint in the dataset.

Mean-mean value or average means that you add all the numbers and divide the result with the total numbers within the dataset. If you donР В Р вЂ Р В РІР‚С™Р Р†РІР‚С›РЎС›t have average, then you have no choice but to compare data like low numbers with high numbers. However, if you find out average, then you can smooth out your dataset and draw the conclusion from it. It doesnР В Р вЂ Р В РІР‚С™Р Р†РІР‚С›РЎС›t matter whatever way you use to find the average, the result would provide you the answer. There are three ways to calculate and find out the average means, median, and mode. The average is the central point or number in the dataset. Some of the quantitative methods of data analysis are as follows Average One person provides a possible explanation, if it is acceptable, then the team starts collecting data based on the premise. However, you use inductive reasoning to study and analyze the data and think of the possible explanations.Р В РІР‚СњР вЂ™Р’В«usinesses use grounded theory when you donР В Р вЂ Р В РІР‚С™Р Р†РІР‚С›РЎС›t have quantitative data. Here the researcher doesnР В Р вЂ Р В РІР‚С™Р Р†РІР‚С›РЎС›t use the statistical tools to analyze the data. Grounded theory is also a type of qualitative data analysis where you create and give an explanation to the data. In discourse analysis, you analyze the day-to-day activities of the subject and use it for the research. The purpose of discourse analysis is to analyze the social context when communication and interaction occur between the respondent and researcher. Just narrative analysis, in discourse analysis you study how people interact with one another.

The purpose of narrative analysis is to study the views, experiences, and stories of people to answer your research questions. Narrative analysis is a type where you check and verify data from many sources like field surveys, interviews, or observation of the focus group. But there could be one unified analysis on which everyone would agree on.

DATA ANALYSIS METHODS FOR TIME FREE

However, analysts of the content should be subjective and it should be free from personal biases.Р В РІР‚СњР В РІР‚РЋor instance, different people read a letter and the interpretation of every person would be different. Since the qualitative content doesnР В Р вЂ Р В РІР‚С™Р Р†РІР‚С›РЎС›t have any quantitative numbers, therefore the statistical tools would be useless. Content AnalysisР В РІР‚СњР вЂ™Р’В¬ontent analysis is the process of studying and analyzing the written content, instead of numbers and figures. Here are some of the following tools that you can use for qualitative data. Also Read: What is Market Research? Definition, Types & Examples Qualitative Data analysis Method

Data analysis methods for time