28-8-20, Colombes, un passage du 110 m haies : [photographie de presse] / [Agence Rol]

Référence bibliographique : Rol, 60800

How Niagara was made free : The passage of Niagara Reservation Act in 1885 /

Reprinted from the Buffalo Historical Society Publications.

Extending the irrelevant sound effect beyond serial recall

The finding that serial recall perfonnance for visually presented items is impaired by concurrently presented speech or sounds is referred to as the irrelevant sound effect (lSE). The foremost explanation for the effect is based on interference with rehearsal and seriation processes. The present series of experiments demonstrates tha t neither rehearsal nor seriation processes is necessary to observe the ISE. Evidence comes from three experiments that a) allow participants to report to-be-remembered items in any order, b) eliminate rehearsal by engaging participants in a cover task and surprising them with a memory test, and c) show that surprise non-serial recognition is immune to rehearsal-based experimental manipulations that modulate the ISE in more typical serial recall tasks. Together,the results show that models that rely on rehearsal or seriation processes to account for the ISE need to be reconsidered. Results are discussed in tenns of interference with encoding of to-be-remembered material.

Estimating the Tobit Model with Serial Correlation: an Operational Approach

Several Authors Have Discussed Recently the Limited Dependent Variable Regression Model with Serial Correlation Between Residuals. the Pseudo-Maximum Likelihood Estimators Obtained by Ignoring Serial Correlation Altogether, Have Been Shown to Be Consistent. We Present Alternative Pseudo-Maximum Likelihood Estimators Which Are Obtained by Ignoring Serial Correlation Only Selectively. Monte Carlo Experiments on a Model with First Order Serial Correlation Suggest That Our Alternative Estimators Have Substantially Lower Mean-Squared Errors in Medium Size and Small Samples, Especially When the Serial Correlation Coefficient Is High. the Same Experiments Also Suggest That the True Level of the Confidence Intervals Established with Our Estimators by Assuming Asymptotic Normality, Is Somewhat Lower Than the Intended Level. Although the Paper Focuses on Models with Only First Order Serial Correlation, the Generalization of the Proposed Approach to Serial Correlation of Higher Order Is Also Discussed Briefly.