Preparation of Data Analysis

Data analysis is a process of inspecting, cleaning, transforming, and modeling data with the goal of highlighting the useful information, suggesting conclusions, and supporting decision making. Data analysis is a practice in which raw data are ordered and organized so that information can be extracted from it. Data analysis has multiple facts and approaches, encompasses diverse techniques under a variety of names, in different business, science, and social science domains.

Process for preparation of Data Analysis:

Data analysis is a process, in which several phases can be distinguished. The processes for the preparation of data analysis are as follows:

1. Data cleaning:

Data cleaning is an important procedure during in which the data are inspected, and erroneous data are if necessary, preferable, and possible corrected. Data cleaning can be done during the initial stage of data entry. If this is done, it is important that no subjective decisions are to be made. During subsequent manipulations of the data, the given information should always be cumulatively retrievable.

2. Initial Data analysis:

The initial data analysis phase is guided by the following phases,

Quality of Data:

Data quality can be assessed in so many ways, using different kinds of analyses: frequency counts, descriptive statistics (mean, standard deviation, median), normality (skew ness, frequency histograms, normal probability plots), associations (correlations, scatter plots).

Quality of measurements:

Confirmatory of factor analysis.

Analysis of homogeneity, which gives an indication of the reliability of a measurement instrument, i.e., whether all items fit into a one-dimensional scale. During this analysis, we can inspects the variances of the items and the scales, the Cronbach's α of the scales, and the change in the Cronbach's alpha when an item would be deleted from a scale.

3. Main data analysis:

The most important distinction between the initial data analysis and the main analysis is that during initial data analysis it refrains from any analysis.

Basic statistics of important variables

Scatter plots

Correlations

Cross-tabulations

4. Final data analysis:

During the final stage, the finding of the initial data analysis are documented, and necessary, preferable, and possible corrective actions are taken.

Preparation for Types of data analysis:

Preparation for Types of data analysis are as follows:

Qualitative Analysis :

The process of interpreting data which can be collected during the course of qualitative research called as qualitative analysis.

Quantitative Analysis:

The process of presenting and interpreting numerical data are called as quantitative analysis

The quantitative data analysis including often contain descriptive statistics and inferential statistics.