Surveys or studies that involve collection of data can be categorized as either observational or experimental. The experimental study occurs in a very controlled environment where some treatment is applied to the subjects. Data collection measures the change in some attributes of subjects after treatment. Wikipedia terms observational studies as "uncontrolled experimental studies." See related link. Observational studies can be more difficult as follows: 1. The controlled environment may be missing. Suppose I am asking people if they like a particular product. Some may have used this product, others may have heard bad things about it from friends. The influences can be numerous. 2. The means of obtaining a representative sample may be complicated. Suppose I am interested in determining if a particular pollutant is causing any harm. I would go to an area where the pollutant was the highest and examine people complaining of problems. Perhaps other pollutants are higher in this particular area. I have confounding problems. 3. The observational study often suffers from an inability to do "identical, repeated trials" as it does not initiate a particular treatment. This inability can result in erroneous conclusions, particularly when data is scarce and develops over time. This is particularly true in epidemiology studies, where the area to be studied and the time required to reach a conclusion depend on the phenomena being studied. If the disease is changing with time, it may be impossible to reach a conclusion even after many incidences have occurred. Does this mean we should just rely on experimental data? No, because in many areas which involve spatial analysis (astronomy, mining of minerals, epidemiology), experiments are not possible. Many disease studies depend on both experimental data and observational surveys.
There are both advantages and disadvantages of data collection methods in statistics. The main advantages are the metrics and correlation one can draw from statistics. The disadvantages stem from sampling errors.
The collection of data and statistical analysis are time-consuming
The collection of data and statistical analysis are time-consuming
data collection locations can include?
a correlational strategy naturalistic obsevation the survey technique Gallup poll.
Collection of data is data is called as database. But this is only when the data is interrelated to each other.
a. Difficult or costly access b. Unsuitable aggregations and definitions c. Does not meet the purpose of study d. No real control over data quality
What is the question. Sampling is data collection
Advantages of internal data include control over the collection process, access to proprietary information, and potential for higher accuracy. However, disadvantages may include limited quantity of data, potential bias, and lack of external validation.
data collection is something that you put your work in and saves your data
Software collection is different from data collection as data collection works by retrieving all of your data and saving it to one file or place. For example, saving all of your music is an example of data collection. Software collection, on the other hand, is a collection of programs which make up a system. For example, a computer operating system is an example of software collection.
Data formats: It is formating all data file from pcs.whatever it is not use.suppose when data is full,and some data we want to delete it.. Data collection: It is the collection of new data file.when new data is collecting..