scholarly journals Ensemble representations are robust to noise inherited from the individual item level

2018 ◽  
Vol 18 (10) ◽  
pp. 79
Author(s):  
Emma ZeeAbrahamsen ◽  
Jason Haberman
2016 ◽  
Vol 35 (1) ◽  
pp. 28-45 ◽  
Author(s):  
Sarah Marie Steinke ◽  
Megan Elam ◽  
Mary Kay Irwin ◽  
Karen Sexton ◽  
Anne McGraw

This study aimed to define the current functions and operations of hospital school programs nationwide. A 56-item survey was disseminated to hospital teachers across the country to examine perceptions about their work, programs, and professional practice. Quantitative findings were analyzed using descriptive statistics at the individual item-level. Qualitative responses were categorized for thematic review and analyzed using an inductive approach. The final sample included 88 completed surveys. Findings were classified into three broad categories: hospital school programming, hospital school teachers, and hospital school instruction. Results revealed that great variability exists across hospitals. Differences were evident in how programs were staffed, funded, and how services are allocated to patients during hospitalizations. Findings will contribute to the establishment of best practices for hospital school programs.


2021 ◽  
Vol 28 (10) ◽  
pp. 348-360
Author(s):  
Rotem Botvinik-Nezer ◽  
Akram Bakkour ◽  
Tom Salomon ◽  
Daphna Shohamy ◽  
Tom Schonberg

It is commonly assumed that memories contribute to value-based decisions. Nevertheless, most theories of value-based decision-making do not account for memory influences on choice. Recently, new interest has emerged in the interactions between these two fundamental processes, mainly using reinforcement-based paradigms. Here, we aimed to study the role memory processes play in preference change following the nonreinforced cue-approach training (CAT) paradigm. In CAT, the mere association of cued items with a speeded motor response influences choices. Previous studies with this paradigm showed that a single training session induces a long-lasting effect of enhanced preferences for high-value trained stimuli, that is maintained for several months. We hypothesized that CAT increases memory of trained items, leading to enhanced accessibility of their positive associative memories and in turn to preference changes. In two preregistered experiments, we found evidence that memory is enhanced for trained items and that better memory is correlated with enhanced preferences at the individual item level, both immediately and 1 mo following CAT. Our findings suggest that memory plays a central role in value-based decision-making following CAT, even in the absence of external reinforcements. These findings contribute to new theories relating memory and value-based decision-making and set the groundwork for the implementation of novel nonreinforced behavioral interventions that lead to long-lasting behavioral change.


1997 ◽  
Vol 8 (6) ◽  
pp. 411-416 ◽  
Author(s):  
Daniel H. Spieler ◽  
David A. Balota

Early noncomputational models of word recognition have typically attempted to account for effects of categorical factors such as word frequency (high vs low) and spelling-to-sound regularity (regular vs irregular) More recent computational models that adhere to general connectionist principles hold the promise of being sensitive to underlying item differences that are only approximated by these categorical factors In contrast to earlier models, these connectionist models provide predictions of performance for individual items In the present study, we used the item-level estimates from two connectionist models (Plaut, McClelland, Seidenberg, & Patterson, 1996, Seidenberg & McClelland, 1989) to predict naming latencies on the individual items on which the models were trained The results indicate that the models capture, at best, slightly more variance than simple log frequency and substantially less than the combined predictive power of log frequency, neighborhood density, and orthographic length. The discussion focuses on the importance of examining the item-level performance of word-naming models and possible approaches that may improve the models' sensitivity to such item differences


2005 ◽  
Vol 30 (1) ◽  
pp. 23-28 ◽  
Author(s):  
A. JESTER ◽  
A. HARTH ◽  
G. WIND ◽  
G. GERMANN ◽  
M. SAUERBIER

The Disability of Arm, Shoulder and Hand (DASH) questionnaire is a standardized measure which captures the patients’ own perspective of their upper extremity health status. Based on the scores of the DASH modules: symptoms, function and sport, this follow-up study of 590 hand-injured subjects from 11 diagnostic groups evaluated impairments and disabilities perceived 2 to 5 years postoperatively. Secondly, we explored the relationships between the diagnostic groups at the individual DASH item level. Exploratory testing of statistical significance showed that the DASH modules differentiated well among the groups (ANOVA P-value 0.001) and further differences existed at the item level, so that functional activity problem profiles could be developed for each diagnostic group. Our findings confirm that the DASH is a useful instrument for outcome evaluation. Moreover, in view of the continuing challenge to provide comprehensive care which meets patients’ needs in the shortest space of time, we consider that DASH has potential in the development of patient-centred treatment programmes which are tailored to the individual patients’ requirements and have relevance to their daily activities.


It is often appropriate to analyse memory processes at a binary level corresponding to the individual item, which may be either remembered or not. But an alternative, considered here, is to study memory for material that is explicitly multicomponent in nature. This procedure is necessary in attempting to resolve some basic issues concerning memory representation. For example, the use as retrieval cues of differing combinations of components produces differing patterns of recall, in differing quantities. How may these distributions be accounted for? Similarly, what are the effects upon memory of varying the attention paid to different components, or combinations of components? In dealing with such questions, it is useful to distinguish direct and indirect retrieval routes. This distinction can be shown to be of particular service in elucidating the relation that recall bears to the other major index of memory retention, recognition.


2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Luke G. Eglington ◽  
Philip I. Pavlik Jr

Abstract Decades of research has shown that spacing practice trials over time can improve later memory, but there are few concrete recommendations concerning how to optimally space practice. We show that existing recommendations are inherently suboptimal due to their insensitivity to time costs and individual- and item-level differences. We introduce an alternative approach that optimally schedules practice with a computational model of spacing in tandem with microeconomic principles. We simulated conventional spacing schedules and our adaptive model-based approach. Simulations indicated that practicing according to microeconomic principles of efficiency resulted in substantially better memory retention than alternatives. The simulation results provided quantitative estimates of optimal difficulty that differed markedly from prior recommendations but still supported a desirable difficulty framework. Experimental results supported simulation predictions, with up to 40% more items recalled in conditions where practice was scheduled optimally according to the model of practice. Our approach can be readily implemented in online educational systems that adaptively schedule practice and has significant implications for millions of students currently learning with educational technology.


2020 ◽  
pp. 106648072095664
Author(s):  
James M. Duncan ◽  
Mary Elizabeth Garrison ◽  
Timothy S. Killian

With a continued focus by practitioners, such as marriage and family counselors, behavioral/social scientists, and policy makers, on promoting resilience among families, it is important to ensure that reliable and valid instruments exist to accurately measure resilience. Using a sample of 603 college students from a large, public university in a mid-South U.S. state, this study investigated the measurement of family resilience operationalized by Walsh (the Walsh Family Resilience Questionnaire [WFRQ]) based on the three-domain theoretical framework. Item-level analysis was conducted to examine reliability followed by a confirmatory factor analysis (CFA) to examine construct validity and confirm the proposed three-factor structure of family resilience. Item-level analysis was examined through individual item mean scores and bivariate correlations, and the CFA was evaluated through examination of model fit and significance of pathways between factors and individual items. Results from the item analysis indicated that individuals reported that the proposed family resilience items characterized how their families rebounded from stressful events. Results from the CFA upheld the theorized three-factor structure comprised of (1) belief systems, (2) organization patterns, and (3) communication/problem-solving. Altogether, these findings demonstrate the suitability of the WFRQ and provide practitioners and scholars alike a more holistic insight into resilience beyond the individual level.


1978 ◽  
Vol 133 (5) ◽  
pp. 429-435 ◽  
Author(s):  
R. C. Young ◽  
J. T. Biggs ◽  
V. E. Ziegler ◽  
D. A. Meyer

SummaryAn eleven item clinician-administered Mania Rating Scale (MRS) is introduced, and its reliability, validity and sensitivity are examined. There was a high correlation between the scores of two independent clinicians on both the total score (0.93) and the individual item scores (0.66 to 0.92). The MRS score correlated highly with an independent global rating, and with scores of two other mania rating scales administered concurrently. The score also correlated with the number of days of subsequent stay in hospital. It was able to differentiate statistically patients before and after two weeks of treatment and to distinguish levels of severity based on the global rating.


2019 ◽  
Author(s):  
Rotem Botvinik-Nezer ◽  
Akram Bakkour ◽  
Tom Salomon ◽  
Daphna Shohamy ◽  
Tom Schonberg

AbstractIt is commonly assumed that memories contribute to value-based decisions. Surprisingly, most theories of value-based decision-making do not account for memory influences on choice. Recently, new interest has emerged in the interactions between these two fundamental processes, mainly using reinforcement-based paradigms. Here, we aimed to study the role memory processes play in non-reinforced preference change. We used the cue-approach training (CAT) paradigm, that is specifically designed to influence choices without external reinforcements. Instead, the paradigm uses the mere association of cued items with a speeded motor response. Previous studies with this task showed that a single training session induces a long-lasting effect of enhanced preferences for high-value trained stimuli, that is maintained for several months. We hypothesized that CAT influences memory accessibility for trained items, leading to enhanced accessibility of their positive associative memories and in turn to preference changes. In two pre-registered experiments, we tested whether memory for trained items was enhanced following CAT, in the short- and long-term, and whether memory modifications are related to choices. We found that memory was enhanced for trained items and that better memory was correlated with enhanced preferences at the individual item level, both immediately and one month following CAT. Our findings show, for the first time, that memory plays a central role in value-based decision-making, even in the absence of external reinforcements. These findings contribute to new theories relating memory and value-based decision-making and set the ground for the implementation of novel behavioral interventions for long-lasting behavioral change.


2019 ◽  
Vol 2 (3) ◽  
pp. 312-329 ◽  
Author(s):  
Laura M. Stapleton ◽  
Tessa L. Johnson

When researchers model multilevel data, often a shared construct of interest is measured by individual-level observations, for example, students’ responses regarding how engaging their instructor’s teaching style is. In such cases, the construct of interest, “engaging teaching,” is shared at the cluster level across individuals, yet rarely are these shared constructs modeled as such. To address this gap, we discuss multilevel confirmatory factor analysis models that have been applied to item-level data obtained from multiple raters within given clusters, focusing particularly on measuring a characteristic at the cluster level. After discussing the parameters in each potential model, we make recommendations as to the appropriate modeling approach and the steps to be taken for model assessment given a set of data and hypothesized construct of interest. In particular, we encourage applied researchers not to use a model without constraints across the within-cluster level and the between-cluster level because such models assume that the average amount of the individual-level construct in a cluster does not differ across clusters. To illustrate this issue, we present simulation results and evaluate a series of models using empirical data from the Trends in International Mathematics and Science Study.


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