

Descriptive analysis seeks to study frequency and features exhibited by the data. There are two types of analysis namely descriptive and inferential analysis. This will be followed by data analysis depending on what you wish to achieve.Ĭode and Enter Data in SPSS To Begin Statistical Analysis Once you are done with coding data, you can enter data values in the data view screen. Interval and ratio levels of measurement are grouped as scale measures. The three measure properties include scale, ordinal and nominal.

Name: SPSS requires that each variable to be unique, and contain a maximum of 8 characters.Go to variable view, click an empty row and start defining variables as stated below. The process is so simple that you can do it within 10 minutes even for large data-sets.The process of coding data is described below: Code and Enter Data in SPSS Like an Expertīefore you run an analysis in SPSS, you will be required to code and enter data in SPSS. In case, you wish to add variables after entering data, you just need to define new variables in the variable view. Each row and column represents source of data and characteristics of the measured data respectively. This is followed by entering values into each defined variable. In SPSS, the first step involves defining the names and inherent traits of the variable.
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Before running analysis using SPSS a user need learn how to code and enter data in SPSS system This is unlike other packages like R and SaS that are command oriented and require users to be conversant with statistical equations modeling. It has a graphical user interface that makes it friendly to users with little programming language.

SPSS stands for Statistical Package for Social Scientists the package is mostly used by non-statisticians due to its simplicity. The selection of a package depends on familiarity and simplicity of a program to the user. Normally statisticians use SPSS, SaS, STATA, S-Plus, R GUI and MS EXCEL to conduct statistical and mathematical analysis. Statistical methods such as descriptive statistics and inferential statistics aid a researcher understand data patterns. Analysis can only be done after you code and enter data in SPSS. Data analysis involves running raw data in a statistical program to obtain results.
