![]() ![]() BACKTRAN should be used only for data that are correlated i.e., you looked at the same insects over several time periods. These graphs are also automatically generated by the BACKTRAN program. predicted proportion organisms responding to the stimulus, or the corresponding probits, to assess goodness-of-fit. These data can be used to plot observed vs. The program also outputs the observed and predicted probit-transformed (or logit- or CLL-transformed) data corresponding to each time or dose. The program outputs time or dose, the observed and predicted proportion organisms responding at each time or dose, and the residual and standardized residual corresponding to each time or dose. The program will also calculate residuals and standardized residuals of proportion organisms responding to the stimulus. The BACKTRAN program can be used to transform probit-, logit-, or CLL-transformed data back to the original units (proportion organisms responding to the stimulus) to help assess goodness of fit. ![]() The backtransformation programs use output from the PROBIT program, or from any other probit analysis program. The program PROBIT2 does the same thing, but will calculate all six possible transformations at one time. All information for complete reporting of probit analyses is provided by the program, including: the slopes and intercepts, with their variances and covariance the chi-square for goodness-of-fit of the regression line and lethal time values, with confidence limits. Our program gives you the option of using any of six possible transformations of the data (probit, logit, CLL, log-probit, log-logit, log-CLL). Journal of Economic Entomology 82: 1534-1542). Instead, use the program by Preisler and Robertson (1989. If you made multiple observations over time at more than one dose in a single study, don't use this program to analyze those data. The PROBIT program is used to analyze bioassay data when multiple observations over time were made on the same groups of organisms at one dose of a stimulus. ![]()
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