The answer depends on the context.You cannot use SPSS if you have no computer. The reason is that SPSS is a computer based analysis package.You cannot use SPSS if you have no data. There must be an input into SPSS.You cannot use SPSS if your assumptions are not supported by the data. For example doing a linear regression for a relationship that is clearly non-linear. Technically, you CAN use SPSS but the reults will be wrong.
The answer may be obtained from the SPSS manual. It is not realistic to try to explain it here.
You then have big problems. However, rather than SPSS making incorrect computation, it is more likely that the model is wrongly specified.
SPSS (Statistical Package for the Social Sciences) is a software program widely used for statistical analysis and data management. However, as of my knowledge the latest version of SPSS available in SPSS 27. I do not have specific information on SPSS 12, as it is an older version. Nevertheless, I can provide you with a general overview of how to use SPSS, and the basic principles should still apply to version 12. 1. Data Entry: Start by entering your data into SPSS. You can either type the data directly into the program or import it from an external source, such as Excel or CSV files. 2. Variable Definitions: Define the variables in your dataset. Specify the variable type (numeric, string, or date), assign variable labels, and define the value labels for categorical variables. 3. Data Cleaning: Clean your data by checking for missing values, outliers, and other inconsistencies. SPSS provides various tools to assist with data cleanings, such as the Data Editor and Data View. 4. Descriptive Statistics: Calculate descriptive statistics for your variables to understand the basic characteristics of your data. SPSS provides options to calculate measures like means, standard deviations, frequencies, and more. 5. Data Analysis: Perform statistical analysis using the available procedures in SPSS. This could include running t-tests, chi-square tests, ANOVA, regression analysis, factor analysis, and many other statistical techniques. You can access these procedures through the Analyze menu. 6. Output Interpretation: After running the SPSS data analysis, SPSS will generate output tables and charts. Interpret the results to draw conclusions and insights from your data. It's essential to understand the statistical concepts behind the analyses you performed. It's worth noting that the user interface and specific features may vary between different versions of SPSS. Therefore, referring to the SPSS 12 documentation or user manual can provide more detailed instructions tailored to that specific version.
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The answer depends on the context.You cannot use SPSS if you have no computer. The reason is that SPSS is a computer based analysis package.You cannot use SPSS if you have no data. There must be an input into SPSS.You cannot use SPSS if your assumptions are not supported by the data. For example doing a linear regression for a relationship that is clearly non-linear. Technically, you CAN use SPSS but the reults will be wrong.
Lee A. Kirkpatrick has written: 'A simple guide to SPSS' -- subject(s): Computer programs, SPSS (Computer file), Social sciences, Statistical methods, SPSS 'A simple guide to IBM SPSS statistics for versions 18.0 & 19.0' -- subject(s): Statistical methods, Statistics, SPSS for Windows, SPSS (Computer file), Data processing, Computer programs, Social sciences 'A Simple Guide to Advanced Statistics for SPSS, Version 13.0'
Certainly! Here are some resources and tutorials that can help you learn advanced techniques in SPSS or you can trust their SPSS help & services: SPSS-Tutor Silverlake Consult IBM SPSS Statistics Documentation IBM SPSS Statistics YouTube Channel, etc. Remember that practice and hands-on experience are crucial for mastering advanced techniques in SPSS. Utilize datasets and try implementing various analyses to reinforce your understanding.
No, SPSS is now IBM software since august 2010.
spss 17.0 install for windows 7 and working
SPSS Version 20 cost from 95,000 to 900000 depends on the modules.
Please buy a product license code from SPSS company or their authorized distributor.
Entering data into SPSS is the most important step in any analysis. Data can be in any form; it can be written on a piece of paper or entered into a computer as raw data. SPSS should be started before data is entered into SPSS. You can easily start SPSS from the Start menu by clicking the SPSS icon. When SPSS opens, a window called the Data Viewer window appears. In SPSS, data display column values ββcalled variables and rows, which are used to record measurements or identify cases. If the amount of data is small, you can manually enter the data into SPSS in the data watch window. For large amounts of data, manual data entry in SPSS is not possible. There are several ways to enter data into SPSS. Most data is provided in Excel, CSV and text formats. Other software formats such as SAS, STATA, etc. are also available. When you open a data file in SPSS, it appears in the program editor window. The format is similar to a spreadsheet in Excel - a grid of rows and columns. Columns represent your paper variables and rows represent your paper reviews or participants. You have two options for entering dissertation data: manually or importing from a text file, spreadsheet or database. You may find it difficult to figure out how to import your thesis data into SPSS from another file, or you may find it difficult to manually enter your thesis data into SPSS. If you get stuck, SPSS tutors, SilverLake, and many other consulting firms can provide you with the SPSS help you need for your dissertation.
I found that Excel has two main advantages over SPSS, one is the fact that the formulas are calculated directly on the sheet, directly in front of you, and every SPSS data will be adjusted as a formula. The other is that with the change that shows graphs and tables, you have as many controls as you want. Where SPSS has an advantage over Excel is in statistical analysis. Excel functionality is basic, to say the least. You can get some of the most basic hypothesis testing, probability distribution and simple linear regression, but with SPSS you get full hypothesis testing, multivariate analysis, structural analysis, etc. You also have the option to label your data and define zero values. Many of these functions are not available in Excel, and what I usually do is export the SPSS output to Excel and process my results there. If you want to learn more about Excel over spss, you can join a consultancy like Silverlake Consult, SPSS-Tutor etc. They have well-educated SPSS tutors who provide you with in-depth knowledge of SPSS. They also provide SPSS help for your assignment.
Paul R. Kinnear has written: 'SPSS for Windows made simple' -- subject(s): Statistical methods, Social sciences, Data processing, SPSS for Windows, SPSS for Windows (Computer file) 'SPSS 15 made simple' -- subject(s): Computer programs, SPSS (Computer file), Social sciences, Statistical methods 'PASW statistics 17 made simple' -- subject(s): Statistical methods, SPSS (Computer file), PASW (Computer file), Social sciences, Computer programs 'SPSS 16 made simple' -- subject(s): Computer programs, SPSS (Computer file), Social sciences, Statistical methods
Robert H. Carver has written: 'Doing data analysis with SPSS version 18' -- subject(s): Statistical methods, SPSS (Computer file), Social sciences, Computer programs 'Doing Data Analysis with SPSS 10.0 (Doing Data Analysis with SPSS)'
There are several resources and tutorials available to help you learn SPSS effectively. You can start by exploring online tutorials and courses offered by educational websites, such as SPSS-Tutor, Silverlake Consult, etc. SPSS-Tutor also provides official documentation and guides on their website that cover various topics and functions with the best quality SPSS assignment help. Additionally, you can find helpful books and manuals specifically designed for learning SPSS. Finally, joining online forums or communities dedicated to SPSS can provide you with access to experienced users who can offer guidance and answer specific questions you may have.