## Analysis of Data : Quite a straight job...

Statistical analysis is an integral part of PhD research. In your research journey, by the time you reach the stage of data analysis, you have already crossed the most difficult and challenging stages. Within the chapterisation scheme of your PhD thesis, in the Research Methodology chapter itself there is so much to do, from defining of the research problem, developing a sampling plan, conceptualisation and designing of the structure are fundamental, as well as puzzling. In comparison to all the above, isn’t data analysis a fairly straightforward task? The job of data analysis comprises three main stages, respectively Data cleaning, sorting and preparation Descriptive analysis of data Hypotheses testing and models Data Cleaning, sorting and Preparation: At this stage the verification of the data is done for accuracy, cleaning out the data that is redundant and not of use, feeding the data in the computer in an organised manner, data transformation and creating a database that integrates the different measures together into one. Descriptive analysis of data: This is the mandatory stage of any study, like the previous one. Whatever are the objectives and hypotheses of the study, descriptive statistics is done to bring out the fundamental aspects of the study. Thus, it becomes the pre requisite for almost all research that call for a quantitative analysis of data. By doing this, you can bring out the graphical analysis, which is a comprehensive description of the data. In the preliminary stage, descriptive statistics can be voluminous and may appear confusing, but the researcher has to tactfully select and organise them into summary tables and graphs, bringing out only the most relevant information and leaving out the unnecessary and repetitive component of the analysis. Hypotheses testing and models: This is...

## How To Work With Statistics For Your Research Paper...

When you are working on a research paper, you will no doubt be confronted with the task of presenting statistics in an easy-to-understand yet professional manner. It therefore becomes vital that you are well aware of different types of statistical analysis and how you can apply it in your field of study. Learning Statistical Tests is a portal that is dedicated to helping others get in-depth knowledge on statistics and understand how to use this knowledge to their benefit. You will get to know basic as well as advanced statistical analysis methods and take a look at different tools available to consolidate your data that does justice to all the research you have...

## SPSS as A Tool for Data Analysis...

SPSS is an information technology program used for studying and examining statistics and was bought in 2009 by International Business Machines (IBM) Corporation. It was created long back by SPSS Inc., a software organization based in Chicago. SPSS plays a very big role in analyzing data and is also used by different organizations, investigators, government and assessment companies. The many characteristics of SPSS can be planned with a privately owned 4 GL control syntax language and are reachable through ‘pull-down’ menus. This software (SPSS) computes a broad range of statistics and controls statistical information. It is a tool designed around the encoding language of SPSS and helps trainees with achieving the majority of fundamental arithmetic breakdown through dialog boxes and menus without gaining any knowledge about the language. As the analysis proceeds ahead, the menus and dialog boxes offer reminders of the majority of the alternatives and seem very practical. There are several undertakings that are carried out quite fast by printing a small number of code words rather than running in the course of a lengthy sequence of dialogs and menus. There are a number of other undertakings also that can’t be completed from the menus. This is where SPSS comes into use and acts as a great tool for analyzing data for...