SPSS means “ Statistical Package for the Social Sciences” and was first launched in 1968. Since SPSS was acquired by IBM in 2009, it's officially known as IBM SPSS Statistics but most users still just refer to it as “SPSS”. SPSS - Quick Overview Main Features SPSS is software for editing and analyzing all sorts of data. These data may come from basically any source: scientific research, a customer database, Google Analytics or even the server log files of a website.

Weed Eater Featherlite Fl20 Parts. Area_X_Delay -- See Example Presentation of Results from a Two-Way Factorial ANOVA BodyFat -- From the Journal of Statistical Education Bush-Kerry2004 -- See IQ, Income, and the 2004 US Presidential Election CameraData -- Description of data file. Chi2_2x3 -- Data for 2 x 3 Contingency Table. Quickly master SPSS RECODE with some simple examples and get things done in SPSS faster and more easily. With tips, tricks and practice data file.

Biology For Bodybuilders Pdf Viewer. SPSS can open all file formats that are commonly used for structured data such as • spreadsheets from MS Excel or; • plain text files (.txt or.csv); • relational (SQL) databases; • Stata and SAS. Let's now have a quick look at what SPSS looks and feels like. SPSS Data View After opening data, SPSS displays them in a spreadsheet-like fashion as shown in the screenshot below from. This sheet -called - always displays our data values. For instance, our first record seems to contain a male respondent from 1979 and so on. A more detailed explanation on the exact meaning of our variables and data values is found in a second sheet shown below. SPSS Variable View An SPSS data file always has a second sheet called.

It shows the metadata associated with the data. Metadata is information about the meaning of variables and data values. This is generally known as the “codebook” but in SPSS it's called the.

For non SPSS users, the look and feel of SPSS’ Data Editor window probably come closest to an Excel workbook containing two different but strongly related sheets. Data Analysis Right, so SPSS can open all sorts of data and display them -and their metadata- in two sheets in its Data Editor window. So how to analyze your data in SPSS? Well, one option is using SPSS’ elaborate menu options. For instance, if our data contain a variable holding respondents’ incomes over 2010, we can compute the average income by navigating to D escriptive Statistics as shown below. Doing so opens a dialog box in which we select one or many variables and one or several statistics we'd like to inspect.

SPSS Output Window After clicking Ok, a new window opens up: SPSS’. It holds a nice table with all statistics on all variables we chose. The screenshot below shows what it looks like. As we see, the Output Viewer window has a different layout and structure than the Data Editor window we saw earlier. Creating output in SPSS does not change our data in any way; unlike Excel, SPSS uses different windows for data and research outcomes based on those data. For non SPSS users, the look and feel of SPSS’ Output Viewer window probably comes closest to a Powerpoint slide holding items such as blocks of text, tables and charts. SPSS Reporting SPSS Output items, typically tables and charts, are easily copy-pasted into other programs.

For instance, many SPSS users use a word processor such as MS Word, OpenOffice or GoogleDocs for reporting. Tables are usually copied in rich text format, which means they'll retain their styling such as fonts and borders. The screenshot below illustrates the result.