DEVCON: Stata module to apply the deviation contrast transform to estimation results

devcon transforms the coefficients of 0/1 dummy variables so that they reflect deviations from the "grand mean" rather than deviations from the reference category (the transformed coefficients are equivalent to those obtained by the so called "effects coding") and adds the coefficient for the reference category. The variance-covariance matrix of the estimates is transformed accordingly. The transformed estimated can be used with post estimation procedures. In particular, devcon can be used to solve the identification problem for dummy variable effects in the so-called Blinder-Oaxaca decomposition (see the oaxaca package).

COCHRAN: Stata module to test for equality of proportions in matched samples (Cochran's Q)

-cochran- performs a test for equality of two or more proportions in matched samples. The chi-squared calculated by -cochran- is known as Cochran's Q (Cochran 1950)

DUNCAN: Stata module to calculate dissimilarity index

duncan computes the Duncan and Duncan segregation statistic (dissimilarity index D) from individual level data.

ESTOUT: Stata module to export estimation results from estimates table

estout produces a table of regression results from one or several models for use with spreadsheets, LaTeX, HTML, or a word-processor table. eststo stores a quick copy of the active estimation results for later tabulation. esttab is a wrapper for estout. It displays a pretty looking publication-style regression table without much typing. estadd adds additional results to the e()-returns for one or several models previously fitted and stored. This package subsumes the previously circulated esto, esta, estadd, and estadd_plus. An earlier version of estout is available as estout1.

MRTAB: Stata module to compute one- and two-way tables/graphs of multiple responses

mrtab tabulates multiple responses which are held as a set of indicator variables or as a set of polytomous response variables.

WGTTEST: Stata module to test the impact of sampling weights in regression analysis

wgttest performs a test proposed by DuMouchel and Duncan (1983) to evaluate whether the weighted and unweighted estimates of a regression model are significantly different.

ALPHAWGT: Stata module to calculate Cronbach's alpha for weighted data

alphawgt computes the Cronbach's alpha statistic. It is the same than the official alpha (version 4.5.2, 09apr2002) except that fweights and aweights may be applied.

DECOMPOSE: Stata module to compute decompositions of wage differentials

Given the results from two regressions (one for each of two groups), decompose computes several decompositions of the outcome variable differential. The decompositions shows how much of the gap is due to differing endowments between the two groups, and how much is due to discrimination. Usually this is applied to wage differentials using Mincer type earnings equations.

Intracranial EEG correlates of implicit relational inference within the hippocampus

Drawing inferences from past experiences enables adaptive behavior in future situations. Inference has been shown to depend on hippocampal processes. Usually, inference is considered a deliberate and effortful mental act which happens during retrieval, and requires the focus of our awareness. Recent fMRI studies hint at the possibility that some forms of hippocampus-dependent inference can also occur during encoding and possibly also outside of awareness. Here, we sought to further explore the feasibility of hippocampal implicit inference, and specifically address the temporal evolution of implicit inference using intracranial EEG. Presurgical epilepsy patients with hippocampal depth electrodes viewed a sequence of word pairs, and judged the semantic fit between two words in each pair. Some of the word pairs entailed a common word (e.g.,‘winter - red’, ‘red - cat’) such that an indirect relation was established in following word pairs (e.g, ‘winter - cat’). The behavioral results suggested that drawing inference implicitly from past experience is feasible because indirect relations seemed to foster ‘fit’ judgments while the absence of indirect relations fostered 'do not fit' judgments, even though the participants were unaware of the indirect relations. A event-related potential (ERP) difference emerging 400 ms post-stimulus was evident in the hippocampus during encoding, suggesting that indirect relations were already established automatically during encoding of the overlapping word pairs. Further ERP differences emerged later post-stimulus (1500 ms), were modulated by the participants' responses and were evident during encoding and test. Furthermore, response-locked ERP effects were evident at test. These ERP effects could hence be a correlate of the interaction of implicit memory with decision-making. Together, the data map out a time-course in which the hippocampus automatically integrates memories from discrete but related episodes to implicitly influence future decision making.

Collision deformation classification training program: intermediate level - training/reference module.

National Highway Traffic Safety Administration, Washington, D.C.

Supplemental driver safety program development. Volume II: pilot and field test module materials. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

User's manual for EXPLORE-I : a river basin water quality model (hydraulic module only) /

Mode of access: Internet.

Highway traffic safety self-instruction course: module 1 workbook - state highway safety program.

National Highway Traffic Safety Administration, Washington, D.C.

Highway traffic safety self-instruction course: module 2 workbook - highway safety standards.

National Highway Traffic Safety Administration, Washington, D.C.