â€‹â€‹In the Research field, data analysis is very important during different phases of the survey. The researcher uses data analysis as per specific needs of different types of surveys like large scale, small scale surveys, longitudinal survey, etc...
Large scale surveys and surveys which last for a longer duration of time in the field require continuous monitoring of data and prompt mid-term evaluation reports for taking corrective actions to ensure the quality of field work. At Rohitah, we provide field check tables and other frequency and cross-tabulation based reports for the data entered till time so that researchers in the field will be well aware of the quality of data being collected from the field and can take necessary appropriate corrective measures.
The reports and tables are generated using advanced software platform. Cleaning and rectification of errors in data before final submission ensure the quality of data and also reduce the significant time of your researcher instead of wasting their time in cleaning the data before the start of actual analysis.
The experienced team of Rohitah can handle all major survey data formats including SPSS, Excel, STATA, Cspro, and can provide FCT, basic frequency/ cross tabulations and Error rectification report to the project team.
Data Analysis Process
In the data analysis process, we use the advanced methods for-
Data cleansing or cleaning is the process of correct data quality issues. After data entry, some data may be corrupted during entry. Rohitah deploys one of the best methods to minimize error in data. Proper data verification and validation checks in data entry software ensure the quality of data. Data cleansing services provided by ROHITAH includes efficient scrubbing of data to remove incorrect, incomplete, duplicate or improperly formatted data. The resultant output file is highly accurate and efficient which in turn reduces the analysis cost significantly.
As per the requirement of the projects, the provisions can be made in the software to generate Field Check Tables as soon as all the process done on the smallest unit of data collection. These tables will be having estimates of certain key indicators. The expected level estimates can also be provided in each table. The field supervisors are expected to read these table in a regional context as the expected level may vary over regions. However, if the calculated value of any indicator varies in a large amount then senior staff may find out the reason and can take corrective actions immediately.
Creating a crosstab is an essential part of the data analysis process. Rohitah makes it easy to create crosstabs by providing a simple, point-and-click interface anyone can use, generate and export the results. Crosstabs will also help you discover important insights of data which are having statistically significant relationships among the variables in your dataset.
We provide report writing services by professionals having good research expertise. With our Basic research reports, you can interpret raw data and use it to develop specific in-depth reports in minimum time. The reports can be in Word, excel format may also include graphical representations, in-depth analysis.