A Comparison of Common and Novel Curriculum-Based Measurement of Reading Decision Rules to Predict Spring Performance for Students Receiving Supplemental Interventions

2017 ◽  
Vol 43 (2) ◽  
pp. 110-120 ◽  
Author(s):  
Ethan R. Van Norman ◽  
David C. Parker
Keyword(s):  
Decision Rule ◽  
Classification Accuracy ◽  
Progress Monitoring ◽  
Current Trend ◽  
Decision Rules ◽  
Curriculum Based Measurement ◽  
Trend Line ◽  
Expected Performance ◽  
Line Slope ◽  
Positive Agreement

Recent simulations suggest that trend line decision rules applied to curriculum-based measurement of reading progress monitoring data may lead to inaccurate interpretations unless data are collected for upward of 3 months. The authors of those studies did not manipulate goal line slope or account for a student’s level of initial performance when evaluating the accuracy of progress monitoring decisions. We explored how long progress needs to be monitored before ineffective interventions can be accurately identified using actual data. We calculated classification accuracy statistics to evaluate the extent to which recommendations from three common and two novel decision rules correctly predicted spring performance across six levels of duration (8, 10, . . . 18 weeks) and two goal types (normative and default spring benchmark). Comparing the median of the last three observations as well as current trend with expected performance at a given week consistently yielded higher positive agreement rates than data point or prediction-based decision rules. Decision rule performance improved as duration increased, but a point of diminishing returns was observed. Decisions based on normative goals yielded consistently higher chance-corrected agreement outcomes.

The Evolutionary Dynamics of Decision Rule Selection

2017 ◽  
Author(s):  
Michael Laver ◽  
Ernest Sergenti
Keyword(s):  
Decision Rule ◽  
Positive Feedback ◽  
Party System ◽  
Evolutionary Dynamics ◽  
Decision Rules ◽  
Past Performance ◽  
Party Leaders ◽  
Track Record ◽  
Long Run ◽  
Survival Of The Fittest

This chapter extends the survival-of-the-fittest evolutionary environment to consider the possibility that new political parties, when they first come into existence, do not pick decision rules at random but instead choose rules that have a track record of past success. This is done by adding replicator-mutator dynamics to the model, according to which the probability that each rule is selected by a new party is an evolving but noisy function of that rule's past performance. Estimating characteristic outputs when this type of positive feedback enters the dynamic model creates new methodological challenges. The simulation results show that it is very rare for one decision rule to drive out all others over the long run. While the diversity of decision rules used by party leaders is drastically reduced with such positive feedback in the party system, and while some particular decision rule is typically prominent over a certain period of time, party systems in which party leaders use different decision rules are sustained over substantial periods.

Endogenous Parties, Interaction of Different Decision Rules

2017 ◽  
Author(s):  
Michael Laver ◽  
Ernest Sergenti
Keyword(s):  
Decision Rule ◽  
Decision Rules ◽  
Party Competition ◽  
Competitive Environment ◽  
Party Leaders ◽  
Robert Axelrod

This chapter attempts to develop more realistic and interesting models in which the set of competing parties is a completely endogenous output of the process of party competition. It also seeks to model party competition when different party leaders use different decision rules in the same setting by building on an approach pioneered in a different context by Robert Axelrod. This involves long-running computer “tournaments” that allow investigation of the performance and “robustness” of decision rules in an environment where any politician using any rule may encounter an opponent using either the same decision rule or some quite different rule. The chapter is most interested in how a decision rule performs against anything the competitive environment might throw against it, including agents using decision rules that are difficult to anticipate and/or comprehend.

scholarly journals Rats show direct reciprocity when interacting with multiple partners

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Nina Kettler ◽  
Manon K. Schweinfurth ◽  
Michael Taborsky
Keyword(s):  
Time Delay ◽  
Decision Rule ◽  
Prisoner's Dilemma ◽  
Decision Rules ◽  
Prisoner’S Dilemma ◽  
Cognitive Demands ◽  
Multiple Partners ◽  
Norway Rats

AbstractDirect reciprocity, where individuals apply the decision rule ‘help someone who has helped you’, is believed to be rare in non-human animals due to its high cognitive demands. Especially if previous encounters with several partners need to be correctly remembered, animals might either stop reciprocating favours previously received from an individual, or switch to the simpler generalized reciprocity mechanism. Here we tested the decision rules Norway rats apply when interacting with multiple partners before being able to return received help. In a sequential prisoner’s dilemma situation, focal subjects encountered four different partners that were either helpful or not, on four consecutive days. On the fifth day, the focal subject was paired with one of the previous four partners and given the opportunity to provide it with food. The focal rats returned received help by closely matching the quantity of help their partner had previously provided, independently of the time delay between received and given help, and independently of the ultimate interaction preceding the test. This shows that direct reciprocity is not limited to dyadic situations in Norway rats, suggesting that cognitive demands involved in applying the required decision rules can be met by non-human animals even when they interact with multiple partners differing in helping propensity.

Decision rules, escalation of commitment and sensitivity to framing in group decision-making

2016 ◽  
Vol 54 (7) ◽  
pp. 1649-1668 ◽  
Author(s):  
Petru Lucian Curseu ◽  
Sandra G. L. Schruijer ◽  
Oana Catalina Fodor
Keyword(s):  
Decision Making ◽  
Decision Rule ◽  
Group Decision Making ◽  
Group Decision ◽  
Decision Rules ◽  
Escalation Of Commitment ◽  
Group Level ◽  
Content Type ◽  
The Impact ◽  
Collaborative Decision

Purpose – The purpose of this paper is to test the influence of collaborative and consultative decision rules on groups’ sensitivity to framing effect (FE) and escalation of commitment (EOC). Design/methodology/approach – In an experimental study (using a sample of 233 professionals with project management experience), the authors test the effects of collaborative and consultative decision rules on groups’ sensitivity to EOC and FE. The authors use four group decision-making tasks to evaluate decision consistency across gain/loss framed decision situations and six decision tasks to evaluate EOC for money as well as time as resources previously invested in the initial decisions. Findings – The results show that the collaborative decision rule increases sensitivity to EOC when financial resources are involved and decreases sensitivity to EOC when time is of essence. Moreover, the authors show that the collaborative decision rule decreases sensitivity to FE in group decision making. Research limitations/implications – The results have important implications for group rationality as an emergent group level competence by extending the insights concerning the impact of decision rules on emergent group level cognitive competencies. Due to the experimental nature of the design, the authors can probe the causal relations between the investigated variables, yet the authors cannot generalize the results to other settings. Practical implications – Managers can use the insights of this study in order to optimize the functioning of decision-making groups and to reduce their sensitivity to FEs and EOC. Originality/value – The study extends the research on group rationality and it is one of the few experimental attempts used to understand the role of decision rules on emergent group level rationality.

scholarly journals Interpolation of multidimensional signals using the reduction of the dimension of parametric spaces of decision rules

2019 ◽  
pp. 31-40
Author(s):  
M V Gashnikov
Keyword(s):  
Decision Rule ◽  
Optimization Problem ◽  
Decision Rules ◽  
Compression Method ◽  
Parametric Space ◽  
Archive File ◽  
Multidimensional Signals ◽  
Reduced Dimension ◽  
Hierarchical Compression ◽  
Adaptive Interpolator

In this paper, we consider the interpolation of multidimensional signals problem. We develop adaptive interpolators that select the most appropriate interpolating function at each signal point. Parameterized decision rule selects the interpolating function based on local features at each signal point. We optimize the adaptive interpolator in the parameter space of this decision rule. For solving this optimization problem, we reduce the dimension of the parametric space of the decision rule. Dimension reduction is based on the parameterization of the ratio between local differences at each signal point. Then we optimize the adaptive interpolator in parametric space of reduced dimension. Computational experiments to investigate the effectiveness of an adaptive interpolator are conducted using real-world multidimensional signals. The proposed adaptive interpolator used as a part of the hierarchical compression method showed a gain of up to 51% in the size of the archive file compared to the smoothing interpolator.

A Successive Decision Tree Approach to Mining Remotely Sensed Image Data

2008 ◽  
pp. 2978-2992
Author(s):  
Jianting Zhang ◽  
Wieguo Liu ◽  
Le Gruenwald
Keyword(s):  
Decision Tree ◽  
Decision Trees ◽  
Classification Accuracy ◽  
Decision Rules ◽  
Image Data ◽  
Remotely Sensed ◽  
Fast Speed ◽  
Remotely Sensed Image ◽  
Tree Approach

Decision trees (DT) has been widely used for training and classification of remotely sensed image data due to its capability to generate human interpretable decision rules and its relatively fast speed in training and classification. This chapter proposes a successive decision tree (SDT) approach where the samples in the ill-classified branches of a previous resulting decision tree are used to construct a successive decision tree. The decision trees are chained together through pointers and used for classification. SDT aims at constructing more interpretable decision trees while attempting to improve classification accuracies. The proposed approach is applied to two real remotely sensed image datasets for evaluations in terms of classification accuracy and interpretability of the resulting decision rules.

Genetically Modified Crops

2021 ◽  
pp. 112-133
Author(s):  
Alasdair R. Young
Keyword(s):  
United States ◽  
Member State ◽  
Environmental Impacts ◽  
Decision Rule ◽  
Genetically Modified ◽  
Decision Rules ◽  
Genetically Modified Crops ◽  
The United States ◽  
State Governments ◽  
The Eu

This chapter presents the EU’s responses with respect to three closely related policies: the approval of genetically modified (GM) crops for sale and (separately) for cultivation and efforts to lift member state bans on EU-approved GM varieties. These most similar cases differ in outcome; with the EU resuming approvals for sale (a change sufficient to placate Argentina and Canada, but not the United States), but not for cultivation and failing to address member state bans despite very permissive decision rules. In these cases, no tariffs were threatened and there was no exporter mobilization. Commission trade officials did push to accelerate approvals. The Commission, which was more favorably disposed toward biotechnology than most of the member states, was able, with the help of very a permissive decision rule, to overcome opposition to approvals for sale, but not for cultivation, reflecting greater concern among regulators about the environmental impacts of GM cultivation than about the safety of GM varieties. The member state governments also balked at forcing their peers to change their policies. There is little evidence that the WTO’s adverse ruling affected any of the protagonists’ preferences.

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