# Start Searching the Answers

The Internet has many places to ask questions about anything imaginable and find past answers on almost everything.

The Question & Answer (Q&A) Knowledge Managenet

The Internet has many places to ask questions about anything imaginable and find past answers on almost everything.

Table of Contents

- How do you round to 1 decimal place in Excel?
- Is SPSS free?
- What is Variable View in SPSS?
- What is the difference between data view and variable view in SPSS?
- Which variable name will not be accepted by SPSS?
- Can time be a covariate?
- What is the difference between a covariate and a confounder?
- What is a covariate example?
- What does it mean if something is a covariate?
- How do you know if a covariate is significant?
- How do we check the assumption of homogeneity of regression slopes?

On the Formulas tab, under Function, click Formula Builder. In number, type the number you are rounding up. In num_digits, type 0 to round the number up to the nearest whole number. In number, type the number you are rounding down.

IBM SPSS is commercially available, copyrighted software, and is not available for free. As a student or staff member, you may have access to SPSS via your university at no cost to you.

The Variable View tab displays information about the variables in your data. You can get to the Variable View window in two ways: In the Data Editor window, click the Variable View tab at the bottom. In the Data Editor window, in the Data View tab, double-click a variable name at the top of the column.

SPSS Data View & Variable View An SPSS data file always has two tabs in the left bottom corner: Data View is where we inspect our actual data and. Variable View is where we see additional information about our data.

You can’t use SPSS reserved keywords as a variable name (i.e., you can’t use ALL, AND, BY, EQ, GE, GT, LE, LT, NE, NOT, OR, TO or WITH).

A time-varying covariate (also called time-dependent covariate) is a term used in statistics, particularly in survival analyses. For example, if a person is born at time 0 in area A, moves to area B at time 5, and is diagnosed with cancer at time 8, two observations would be made.

Confounders are variables that are related to both the intervention and the outcome, but are not on the causal pathway. Covariates are variables that explain a part of the variability in the outcome.

In general terms, covariates are characteristics (excluding the actual treatment) of the participants in an experiment. Covariates may affect the outcome in a study. For example, you are running an experiment to see how corn plants tolerate drought.

A variable is a covariate if it is related to the dependent variable. A covariate is thus a possible predictive or explanatory variable of the dependent variable. This may be the reason that in regression analyses, independent variables (i.e., the regressors) are sometimes called covariates.

General Linear Model: Strength versus Diameter, Machine Notice that the F-statistic for diameter (covariate) is 69.97 with a p-value of 0.000. This indicates that the covariate effect is significant. That is, diameter has a statistically significant impact on the fiber strength.

How to Test

- Conduct a correlation analysis between the dependent variable(s) and the covariate(s). They should be highly correlated.
- A scatter plot of the dependent variable(s) and the covariate(s) by factor group should show that all lines have a similar slope.