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Our tutorials reference a dataset called "sample" in many examples. If you'd like to download the sample dataset to work through the examples, choose one of the files below:. In order for your data analysis to be accurate, it is imperative that you correctly identify the type and formatting of each variable. SPSS has special restrictions in place so that statistical analyses can't be performed on inappropriate types of data: for example, you won't be able to use a continuous variable as a "grouping" variable when performing a t -test. Information for the type of each variable is displayed in the Variable View tab.

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Click this and the Variable Type window will appear. You can use this dialog box to define the type for the selected variable, and any associated information e. The two common types of variables that you are likely to see are numeric and string. Numeric variables, as you might expect, have data values that are recognized as s. This means that they can be sorted numerically or entered into arithmetic calculations.

When viewed in the Data View window, system-missing values for numeric variables will appear as a dot i. Note that one should not type in a period character in a cell to specify a missing value.

Free phone sex text Vars

Simply leave the cell blank, and SPSS will recognize it as system-missing. Importantly, numeric variables in SPSS can also be used to denote nominal unordered or ordinal categorical variables. In those cases, it almost always inappropriate to treat those variables as s, even though SPSS may not stop you from doing so.

Free phone sex text Vars

For example, it's extremely common to record demographic variables like sex using the codes 1 and 2 instead of the words "male" and "female". Although these would be defined as numeric variables in your SPSS dataset, it would not be appropriate to use them in arithmetic operations, since the codes are stand-ins for nominal and nominal can't be used in arithmetic operations.

So if you are examining a new dataset, you should not assume that all numeric variables represent interval or ratio variables. All of the following are examples of variables that could be entered as numeric variables in an SPSS dataset:. Example: Continuous variables that can take on any in a range e. The researcher can choose as many or as few decimal places as they feel are necessary. In this situation, the Measure setting should be defined as Scale ; see the Defining Variables tutorial for more information on how to set measurement levels.

This particular type of numeric variable is appropriate to use in arithmetic operations adding, subtracting, multiplying, dividing. Example: Counts e. In this situation, the Measure setting should be defined as Scale. Certain mathematical calculations are valid when applied to count variables e. Example: Nominal categorical variables that have been coded numerically e. In this situation, the Measure setting must be defined as Nominal. This type of numeric variable should never be used in mathematical calculations, nor used in any statistical procedure requiring continuous numeric variables e.

Example: Ordinal categorical variables that have been coded numerically e. In this situation, the codes allow us to correctly convey that Large is "greater than" Small in a meaningful way; however, it is not safe to assume that the "distance" between Large and Medium is the same as the "distance" between Medium and Small.

Free phone sex text Vars

This is because our choice of codes is arbitrary and not tied to any physical meaning. In this situation, the Measure setting must be defined as Ordinal. This type of numeric variable should never be used in any statistical procedure requiring continuous numeric variables e. One such example is computing a composite score for a validated survey instrument by summing or averaging its constituent Likert items, though this is not without controversy.

String variables -- which are also called alphanumeric variables or character variables -- have values that are treated as text. This means that the values of string variables may include s, letters, or symbols. In the Data View window, missing string values will appear as blank cells. However, note that these blank cells are not recognized by SPSS as system-missing values i. This has important implications if you plan to use a string variable in an analysis, since it will affect your sample size.

Example: Zip codes and phone s, although composed of s, would typically be treated as string variables because their values cannot be used meaningfully in calculations. Example: Any written text is considered a string variable, including free-response answers to survey questions. The next few variable types are all technically numeric, but indicate special formatting.

If your data has been recorded in one of these formats, you must set the variable type appropriately so that SPSS can interpret the variables correctly. For example, SPSS can not correctly use dates in calculations unless the variables are specifically defined as date variables. Numeric variables that include commas that delimit every three places to the left of the decimals and use a period to delimit decimals. SPSS will recognize these values as numeric even if they contain commas or use scientific notation.

Example: One million, two hundred thirty-four thousand, five hundred sixty-seven and eighty-nine hundredths: 1, Numeric variables that include periods that delimit every three places and use a comma to delimit decimals. SPSS will recognize these values as numeric even if they contain periods or use scientific notation. Example: One million, two hundred thirty-four thousand, five hundred sixty-seven and eighty-nine hundredths Note about comma versus dot notation: comma notation is standard in the United States.

Free phone sex text Vars

Oracle's International Language Environments Guide gives a list of countries and what form of notation is typically found in each. Numeric variables whose values are displayed with an E and power-of-ten exponent. Exponents can be preceded by either an E or a D, with or without aor only with a no E or D. SPSS will recognize these values as numeric, with or without an exponent. Numeric variables that are displayed in any standard calendar date or clock-time formats. Standard formats may include commas, blank spaces, hyphens, periods, or slashes as space delimiters.

Numeric variables that contain a dollar i. Commas may be used to delimit every three places, and a period can be used to delimit decimals. Numeric variables that are displayed in a custom currency format. You must define the custom currency in the Variable Type window. Custom currency characters are displayed in the Data Editor but cannot be used during data entry. Numeric variables whose values are restricted to non-negative integers in standard format or scientific notation. The values are displayed with leading zeroes padded to the maximum width of the variable. Search this Guide Search.

Free phone sex text Vars

It also dictates what type of statistical analysis methods are appropriate for that data. This tutorial covers the variable types that SPSS recognizes. Variable Types In order for your data analysis to be accurate, it is imperative that you correctly identify the type and formatting of each variable. Numeric Numeric variables, as you might expect, have data values that are recognized as s. All of the following are examples of variables that could be entered as numeric variables in an SPSS dataset: Example: Continuous variables that can take on any in a range e.

String String variables -- which are also called alphanumeric variables or character variables -- have values that are treated as text. Comma Numeric variables that include commas that delimit every three places to the left of the decimals and use a period to delimit decimals. Example: Thirty-thousand and one half: 30, Example: Thirty-thousand and one half: Scientific notation Numeric variables whose values are displayed with an E and power-of-ten exponent. Example: 1. Date Numeric variables that are displayed in any standard calendar date or clock-time formats.

Restricted Numeric variables whose values are restricted to non-negative integers in standard format or scientific notation. Example: width Report a problem. Subjects: Statistical Software. Tags: statisticstutorials. University Libraries. Street Address Risman Dr. library kent. Facebook Facebook. Twitter Twitter. Flickr Flickr. Instagram Instagram. Youtube Youtube.

Free phone sex text Vars

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