SAS/STAT SoftwareResearchers often use sample survey methodology to obtain information about a large population by selecting and measuring a sample from that population. Due to variability among items, researchers apply scientific probability-based designs to select the sample. This reduces the risk of a distorted view of the population and enables statistically valid inferences to be made from the sample. The survey analysis procedures in SAS/STAT software properly analyze complex survey data by taking into account the sample design. These procedures can be used for multistage or single-stage designs, with or without stratification, and with or without unequal weighting. Show
The SAS/STAT survey analysis procedures include the following:
SURVEYMEANS ProcedureThe SURVEYMEANS procedure estimates characteristics of a survey population by using statistics computed from a survey sample. It enables you to estimate statistics such as means, totals, proportions, quantiles, geometric means, and ratios. The following are highlights of the SURVEYMEANS procedure's features:
For further details, see SURVEYMEANS Procedure SURVEYFREQ ProcedureThe SURVEYFREQ procedure produces one-way to n-way frequency and crosstabulation tables from complex multistage survey designs with stratification, clustering, and unequal weighting. The following are highlights of the SURVEYFREQ procedure's features:
For further details, see SURVEYFREQ Procedure SURVEYIMPUTE ProcedureThe SURVEYIMPUTE procedure imputes missing values of an item in a data set by replacing them with observed values from the same item. The principles by which the imputation is performed are particularly useful for survey data. The following are highlights of the SURVEYIMPUTE procedure's features:
For further details, see SURVEYIMPUTE Procedure SURVEYLOGISTIC ProcedureThe SURVEYLOGISTIC procedure fits linear logistic regression models for discrete response survey data by the method of maximum likelihood. For statistical inferences, PROC SURVEYLOGISTIC incorporates complex survey sample designs, including designs with stratification, clustering, and unequal weighting. The following are highlights of the SURVEYLOGISTIC procedure's features:
For further details, see SURVEYLOGISTIC Procedure SURVEYPHREG ProcedureThe SURVEYPHREG procedure performs regression analysis based on the Cox proportional hazards model for sample survey data. Cox's semiparametric model is widely used in the analysis of survival data to estimate hazard rates when adequate explanatory variables are available. The following are highlights of the SURVEYPHREG procedure's features:
For further details, see SURVEYPHREG Procedure SURVEYREG ProcedureThe SURVEYREG procedure performs regression analysis for sample survey data. This procedure can handle complex survey sample designs, including designs with stratification, clustering, and unequal weighting. The procedure fits linear models for survey data and computes regression coefficients and their variance-covariance matrix. The following are highlights of the SURVEYREG procedure's features:
For further details, see SURVEYREG Procedure SURVEYSELECT ProcedureThe SURVEYSELECT procedure provides a variety of methods for selecting probability-based random samples. The procedure can select a simple random sample or can sample according to a complex multistage sample design that includes stratification, clustering, and unequal probabilities of selection. With probability sampling, each unit in the survey population has a known, positive probability of selection. This property of probability sampling avoids selection bias and enables you to use statistical theory to make valid inferences from the sample to the survey population. The following are highlights of the SURVEYSELECT procedure's features:
For further details, see SURVEYSELECT Procedure Which technique can be used by an analyst in a pay survey to create a straight market line that best fits the survey data by minimizing the variance around the line?An analyst using the least squares method will generate a line of best fit that explains the potential relationship between independent and dependent variables. The least squares method provides the overall rationale for the placement of the line of best fit among the data points being studied.
What are the advantages of survey approach in pay level determination?Survey data provides a relevant basis for HR's decisions on salary, incentives, and bonus plans when meeting with senior management and employees. HR professionals will be more confident when communicating changes in pay knowing that their decisions were based on current market data that includes industry peers.
What are the steps in conducting a wage salary survey?How to Establish Salary Ranges. Step 1: Determine the Organization's Compensation Philosophy. ... . Step 2: Conduct a Job Analysis. ... . Step 3: Group into Job Families. ... . Step 4: Rank Positions Using a Job Evaluation Method. ... . Step 5: Conduct Market Research. ... . Step 6: Create Job Grades. ... . Step 7: Create a Salary Range Based on Research.. Which one of the following is determined through wage salary survey?Wage and salary survey ensures about external equity. External equity can be defined as a process of comparing the organizational pay rates with the market rates. It is conducted to determine the transferability of the skills of the employees. External equity is also known as matching strategy.
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How do frequency distributions aid an analyst during the statistical analysis of a pay survey?
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