Get Stata For Surveys - Reading Ac

Importing an Excel or Text Data File into Stata: To import an Excel file (e.g. “Example_Dataset. xlsx”) click on File, then on Import, then on Excel spreadsheet. A new window will open. Click Browse and navigate to the folder where the data file you want to use is stored, and then click on Open.

Significance is typically measured by your t-statistic, or your p-value in the regression readout. These are the columns 't' and 'P>|t|'. Typically, a t-statistic above 2 or below -2 is considered significant at the 95% level.

Stata offers 4 weighting options: frequency weights (fweight), analytic weights (aweight), probability weights (pweight) and importance weights (iweight).

The probability weight, called a pweight in Stata, is calculated as N/n, where N = the number of elements in the population and n = the number of elements in the sample. For example, if a population has 10 elements and 3 are sampled at random with replacement, then the probability weight would be 10/3 = 3.33.

The formula to calculate the weights is W = T / A, where "T" represents the "Target" proportion, "A" represents the "Actual" sample proportions and "W" is the "Weight" value. The weights can be easily calculated using a spreadsheet or with a calculator.

A sample weight is the inverse of the probability of selection. For example, if my simple random sample is one tenth of the population size (i.e. my sampling fraction is 1/10), then each respondent in the sample is representing 10 people in the population.

R-squared – R-Squared is the proportion of variance in the dependent variable (science) which can be predicted from the independent variables (math, female, socst and read). This value indicates that 48.92% of the variance in science scores can be predicted from the variables math, female, socst and read.