As a researcher, you want to be confident about your results. Performing data analysis in SPSS Complex Samples helps you to achieve more statistically valid inferences for populations measured in your complex sample data. SPSS Complex Samples provides you with better results because, unlike most conventional statistical software, it incorporates the sample design into survey analysis. And, it easily plugs into SPSS Statistics Base so you can seamlessly work in the SPSS Statistics environment.
SPSS Complex Samples provides you with five procedures to analyze data from sample survey data. And you can use ordinal data in much the same way you use numeric data.
Complex Samples Descriptives (CSDESCRIPTIVES)—Estimates means, sums and ratios, and computes standard errors, design effects, confidence intervals hypothesis tests for samples drawn by complex methods. The procedure estimates variances by taking into account the sample design used to select the sample, including equal probability and probability proportionate to size (PPS) methods, using both with replacement (WR) and without replacement (WOR) sampling procedures. Optionally, CSDESCRIPTIVES performs analyses for subpopulations.
You can also use CSDESCRIPTIVES to specify how to handle missing data:
Complex Sample Tabulate (CSTABULATE)—Displays one-way frequency tables or two-way crosstabulations and associated standard errors, design effects, confidence intervals and hypothesis tests for samples drawn by complex sampling methods. The procedure estimates variances by taking into account the sample design used to select the sample, including equal probability and PPS methods, and with replacement (WR) and without replacement (WOR ) sampling procedures. Optionally, CSTABULATE creates tables for subpopulations.
Use the following statistics within the table:
Use the following statistics and tests for the entire table:
You can use CSTABULATE to specify how to handle missing data, just as you do with CSDESCRIPTIVES.
Complex Samples General Linear Models (CSGLM)—Enables you to build linear regression, analysis of variance (ANOVA), and analysis of covariance (ANCOVA) models for samples drawn by complex sampling methods. The procedure estimates variances by taking into account the sample design used to select the sample, including equal probability and PPS methods, and WR and WOR sampling procedures. Optionally, CSGLM performs analyses for subpopulations.
You can use the following statistics with CSGLM:
Hypothesis tests include:
Handle missing data using listwise deletion of missing values.
Complex Ordinals Selection (CSORDINAL)—Makes it easier to predict outcomes when you are using ordinal data. You can estimate variances, taking into account the sample design used to select the sample. And you can perform an analysis for a subpopulation. You can create models for:
The CSORDINAL procedure includes the following statistics, tests, and functionality:
Complex Samples Logistic Regression (CSLOGISTIC)—Performs binary logistic regression analysis, as well as multiple logistic regression (MLR) analysis, for samples drawn by complex sampling methods. The procedure estimates variances by taking into account the sample design used to select the sample, including equal probability and PPS methods, and WR and WOR sampling procedures. Optionally, CSLOGISTIC performs analyses for subpopulations.
You can use the following statistics with CSLOGISTIC:
Hypothesis tests include:
Handle missing data using listwise deletion of missing values.
Complex Samples Cox Regression (CSCOXREG) —Applies Cox proportional hazards regression to analysis of survival times— that is, the length of time before the occurrence of an event for samples drawn by complex sampling methods. CSCOXREG supports continuous and categorical predictors, which can be time-dependent. CSCOXREG provides an easy way of considering differences in subgroups as well as analyzing effects of a set of predictors. Also, the procedure handles data where there are multiple cases (such as patient visits, encounters, and observations) for a single subject.
You can use the following statistics with CSCOXREG:
Hypothesis tests include:
Download the SPSS Complex Samples spec sheet (PDF) for more information on the features in SPSS Complex Samples.
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