Data-driven Test Research Articles

A Smooth Test of Goodness‐of‐Fit for Growth Curves and Monotonic Nonlinear Regression Models

We propose a goodness-of-fit test for growth curves based on an adaptation of the data-driven smooth test paradigm. It is simple to apply and can assess the fit of a model to a set of growth experiences. A simulation study shows that for small samples, the test holds its level. Moreover, its power is found to be generally greater than existing tests. The article concludes by revisiting the long-standing problem of validating a model for the growth of human stature.

Studying the Mind from the Inside Out

Good research requires, among other virtues,(i) methods that yield stable experimentalobservations without arbitrary (post hoc)assumptions, (ii) logical interpretations ofthe sources of observations, and (iii) soundinferences to general causal mechanismsexplaining experimental results by placing themin larger explanatory contexts. In TheNew Phrenology, William Uttal examines theresearch tradition of localization, and findsit deficient in all three virtues, whetherbased on lesion studies or on new technologiesfor functional brain imaging. In this paper Iconsider just the arguments concerning brainimaging, especially functional MagneticResonance Imaging. I think that Uttal is tooharsh in his methodological critique, butcorrect in his assessment of the conceptuallimitations of localist evidence. I proposeinstead a data-driven test for assessingrelative modularity in brain images, and showits use in a secondary analysis of fMRI datafrom the National fMRI Data Center(www.fmridc.org). Although the analysis is alimited pilot study, it offers additionalempirical challenge to localism.

A data-driven test for dispersive ordering

We propose a data-driven test for dispersive ordering and show that the asymptotic null distribution of the data-driven test is the standard normal. Our simulations confirm the efficacy of this test in moderately large samples.

Data-driven self-timed RSFQ high-speed test system

Functional testing of rapid single-flux-quantum (RSFQ) logic circuits at high speed is necessary to further optimize circuit design, but it is not easy to do off-chip testing because of the high speed and small amplitude of SFQ pulses. This paper will present the design and test results of an 20 Gb/s bit-by-bit on-chip high-speed digital test system based on data-driven self-timed (DDST) circuits.

The effects of perceptual interference at encoding on implicit memory, explicit memory, and memory for source.

Interfering with stimulus identification can enhance later explicit memory performance. This counterintuitive (and theoretically unexpected) phenomenon was investigated in 5 experiments. Perceptual interference enhanced category-cued recall (a conceptually driven explicit test) but had no effect on a comparable implicit memory test, category-exemplar production. This dissociation was obtained across higher levels of priming and with high-frequency as well as low-frequency exemplars. Furthermore, although perceptual interference enhanced old-new recognition memory, it did not enhance rhyme recognition (a data-driven explicit test) or source discriminability. Explanations based on enhanced semantic elaboration or enhanced encoding of spatio-temporal context do not account for the perceptual-interference effect. An account based on compensatory processing of higher level perceptual representations remains viable and is discussed in terms of the transfer-appropriate processing framework and the item-specific-relational distinction.

The effects of perceptual interference at encoding on implicit memory, explicit memory, and memory for source.

Interfering with stimulus identification can enhance later explicit memory performance. This counterintuitive (and theoretically unexpected) phenomenon was investigated in 5 experiments. Perceptual interference enhanced category-cued recall (a conceptually driven explicit test) but had no effect on a comparable implicit memory test, category-exemplar production. This dissociation was obtained across higher levels of priming and with high-frequency as well as low-frequency exemplars. Furthermore, although perceptual interference enhanced old-new recognition memory, it did not enhance rhyme recognition (a data-driven explicit test) or source discriminability. Explanations based on enhanced semantic elaboration or enhanced encoding of spatio-temporal context do not account for the perceptual-interference effect. An account based on compensatory processing of higher level perceptual representations remains viable and is discussed in terms of the transfer-appropriate processing framework and the item-specific-relational distinction.

単語完成はデータ駆動型テストといえるか

In this experiment subjects studied two lists of words. One list was presented in a normal form and the other list was presented in an inverted form. Then subjects were given a word fragment completion test, in which half of the words of each list in the study phase presented in the normal form and the other half were presented in the inverted form. There were two word fragment completion tests, a fast test and a slow test. In the fast test, larger priming was obtained when the presented form of words between study and test was matched, as compared with not matched. But in the slow test, priming wasn't influenced by the presented form of words. Word fragment completion had been classified as a data-driven test, but the slow test was relying on data-driven processing less than the fast one. Considering these findings, it was concluded that word fragment completion test involves not only data-driven but conceptually driven processing, and that one can manipulate test performance so that it is data-driven or conceptually driven under some conditions.