Published on Sep 03, 2023
Data collection is a term used to describe a process of preparing and collecting data, for example, as part of a process improvement or similar project. Data Collection is an important aspect of any type of research study. Inaccurate data collection can impact the results of a study and ultimately lead to invalid results. A method of gathering and calculating data given the appropriate app to support those data gathering needs.
With the availability of an mobile for many of us the search began to find an app that lends to easier, meaningful and more efficient electronic data collection. Measuring time and frequency has never been so easy. To count how often an event is occurring, simply press the button when the event is observed. To time how long an event is occurring, simply hold the button down while it is happening or lock it in place for hands-free recording. Mobile data collection forms save valuable time. Imagine conducting a mobile survey without the delays of printing and shipping paper forms. You do not need to worry about paper forms being lost or damaged in transit. With mobile data collection software you do not need to reenter data into a computer because its digital to start with.
So there are no reporting delays. so you do not need to worry about the time required to set up and maintain servers. Take a picture, then annotate it. Collect action video of an event. Record audio questions. Collect a GPS coordinate, then display it on a map. Scan barcodes to save time, increase accuracy, and reduce fraud. Send ad-hoc and pre-scheduled dispatch forms and work order forms out to your mobile workers. Our mobile data collection software allows you to do all of this with no need for software programmers or IT support staff. Imagine using your mobile data collection software to instantly take a picture, then sketch on top of it to illustrate something of interest; or to scan the barcodes of materials being delivered to a job site. Imagine recording audio notes and video clips and embedding them right in your electronic mobile data collection forms; or using the GPS to precisely record a location. Think about the increased speed and accuracy of reporting.
Collecting data was typically performed through reassessment, checklists, rubrics, observation and anecdotal notes taken on student progress. Hard copy notes were the most typical method of collecting data.
· High expensive
· Time taken procedures and methods
· Inconsistence data and irrelevant data
· Onsite deployment.
Using our mobile data collection software to instantly take a picture, illustrate something of interest; or to scan the barcodes of materials being delivered to a job site. Imagine recording audio notes and video clips and embedding them right in your electronic mobile data collection forms; or using the GPS to precisely record a location. Think about the increased speed and accuracy of reporting.
· significantly lower expenses
· time savings by not having to ship paper or to reenter data into a computer
· richer, more complete and more accurate data
· remote deployment to your workers; and in many cases
· the ability to use devices that you already own
Many variables can be collected by more than one method and at different points from fishers to consumers. Where possible, data should be collected from several sources to crosscheck for errors. Making direct measurements is the most accurate method for many variables, such as catch, but is often expensive. Many methods, such as observer programmes, are limited to industrial fisheries.
There are strong links between types of data, where they can be obtained and the methods, which are available for their collection. This section provides a guide for selecting data collection methods in relation to the data type and source, and gives some indication of what types of data can be collected simultaneously. Forms which are completed and returned by respondents. An inexpensive method that is useful where literacy rates are high and respondents are co-operative.
In the analysis phase, the researcher compares group scores on some dependent variable. Based on the analysis, the researcher draws a conclusion about whether the treatment ( independent variable) had a causal effect on the dependent variable. The main alternative to making direct measurements is to require fishers and others to report their activities. Reporting requires literacy and co-operation, but can be backed up by a legal requirement and direct measurements.
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