Significant until proven otherwise: problems versus representative samples

2020 ◽  
pp. 38-51
Author(s):  
Curtis F. Schaafsma
Keyword(s):  
Representative Samples

Applying Generalizability Theory to Optimize Analysis of Spontaneous Teacher Talk in Elementary Classrooms

2020 ◽  
Vol 63 (6) ◽  
pp. 1947-1957
Author(s):  
Alexandra Hollo ◽  
Johanna L. Staubitz ◽  
Jason C. Chow
Keyword(s):  
Special Education Teachers ◽  
Generalizability Theory ◽  
Child Outcomes ◽  
Elementary Classrooms ◽  
Teacher Talk ◽  
Group Instruction ◽  
Data Set ◽  
School Year ◽  
Minimum Number ◽  
Representative Samples

Purpose Although sampling teachers' child-directed speech in school settings is needed to understand the influence of linguistic input on child outcomes, empirical guidance for measurement procedures needed to obtain representative samples is lacking. To optimize resources needed to transcribe, code, and analyze classroom samples, this exploratory study assessed the minimum number and duration of samples needed for a reliable analysis of conventional and researcher-developed measures of teacher talk in elementary classrooms. Method This study applied fully crossed, Person (teacher) × Session (samples obtained on 3 separate occasions) generalizability studies to analyze an extant data set of three 10-min language samples provided by 28 general and special education teachers recorded during large-group instruction across the school year. Subsequently, a series of decision studies estimated of the number and duration of sessions needed to obtain the criterion g coefficient ( g > .70). Results The most stable variables were total number of words and mazes, requiring only a single 10-min sample, two 6-min samples, or three 3-min samples to reach criterion. No measured variables related to content or complexity were adequately stable regardless of number and duration of samples. Conclusions Generalizability studies confirmed that a large proportion of variance was attributable to individuals rather than the sampling occasion when analyzing the amount and fluency of spontaneous teacher talk. In general, conventionally reported outcomes were more stable than researcher-developed codes, which suggests some categories of teacher talk are more context dependent than others and thus require more intensive data collection to measure reliably.

Prevalence of Sexual Trauma and Mental Health Sequelae Among Three Representative Samples of Reserve and National Guard Personnel

2012 ◽  
Author(s):  
Kate Walsh ◽  
Gregory Cohen ◽  
Karestan Koenen ◽  
Robert Ursano ◽  
Robert Gifford ◽  
...  
Keyword(s):  
Mental Health ◽  
Sexual Trauma ◽  
National Guard ◽  
Representative Samples

Associations Between Higher-Order Values Vary with Age, Education, and Income

2020 ◽  
Author(s):  
Maksim Rudnev
Keyword(s):  
Cognitive Abilities ◽  
Developed Countries ◽  
European Social Survey ◽  
Higher Order ◽  
Group Differences ◽  
Social Survey ◽  
Value Structures ◽  
Younger Age ◽  
The Individual ◽  
Representative Samples

A theory of basic human values relies on the similarity of value structures across countries. It has been well established that the quasi-circumplex value structure as a whole is indeed universal. However, less attention has been paid to the associations between specific values. This study investigated associations between four higher-order values across age, education, and income groups. We analyzed the data from national representative samples collected in 29 countries as part of the fourth round of the European Social Survey with a series of multilevel regressions. Younger age, higher levels of education and income coincided with higher independence of the four adjacent higher-order values, whereas among older, less educated, and less wealthy groups, values tended to merge into a single dimension of Social versus Person Focus. These differences were slightly weaker in more economically developed countries. The group differences in value associations may follow from corresponding differences in the degree of societal and individual empowerment, cognitive abilities, and socialization experiences. Accounting for the individual differences in relations between values may bring deeper understanding and higher predictive power to the studies of links between values and various behaviors or attitudes. , value structure, value interactions, European Social Survey

Are perceived prevalences of infection also biased and how? Lessons from large epidemics of mosquito-borne diseases in tropical regions

2017 ◽  
Author(s):  
Jocelyn Raude
Keyword(s):  
Infectious Diseases ◽  
Cognitive Biases ◽  
Adult Population ◽  
Systematic Bias ◽  
Tropical Regions ◽  
Telephone Surveys ◽  
Behavioral Decision ◽  
Risk Estimates ◽  
Representative Samples ◽  
Actual Prevalence

Objectives: Although people have been repeatedly found to underestimate the frequency of risks to health from common diseases, we still do not know much about reasons for this systematic bias, which is also referred to as “primary bias” in the literature. In this study, we take advantage of a series of large epidemics of mosquito-borne diseases to examine the accuracy of judgments of risk frequencies. In this aim, we assessed the perceived versus the observed prevalence of infection by zika, chikungunya or dengue fever during these outbreaks, as well as their variations among different subpopulations and epidemiological settings.Design: We used data drawn from 4 telephone surveys, conducted between 2006 and 2016, among representative samples of the adult population in tropical regions (Reunion, Martinique, and French Guiana). The participants were asked to estimate the prevalence of these infections by using a natural frequency scale.Results: The surveys showed that (1) most people greatly overestimated the prevalence of infection by arbovirus, (2) these risk overestimations fell considerably as the actual prevalence of these diseases increased, (3) the better-educated and male participants consistently yielded less inaccurate risk estimates across epidemics, and (4) that these biases in the perception of prevalence of these infectious diseases are relatively well predicted by probability weighting function.Conclusions: These findings suggest that the cognitive biases that affect perception of prevalence of acute infectious diseases are not fundamentally different from those that characterize other types of probabilistic judgments observed in the field of behavioral decision-making. They also indicate that numeracy may play a considerable role in people’s ability to transform epidemiological observations from their social environment to more accurate risk estimates.

Strategies for Condition Assessment of Sewer Systems

2007 ◽  
Vol 2 (2) ◽  
Author(s):  
K. Müller
Keyword(s):  
Water Pollution ◽  
Numerical Model ◽  
Critical Condition ◽  
Ground Water Pollution ◽  
Pollution Regulation ◽  
Sewer Systems ◽  
Single Strategy ◽  
Surface Covering ◽  
Critical Class ◽  
Representative Samples

The inspection of sewers can take place whether by means of fixed-intervals in a conventional surface-covering inspection, or by means of need-oriented strategies. Those need-oriented strategies can be differed between a selective inspection, an evaluation of the present sewer condition based on a representative samples and a failure-oriented forecasting strategy. By setting up and implementing a numerical model it is now possible to carry out a comparison between strategies. Herewith, the potential of success from every single strategy concerning different boundary conditions has been evaluated. For larger Sewer Systems a failure-oriented forecasting strategy presents a more reasonable alternative than the conventional surface-covering one. The reason is because the holding time from every sewer in a critical condition can be reduced considerably within this kind of oriented-need inspections compared to the conventional ones. Similarly, this method meets the ability to estimate the whole condition of a sewer for a given term in the minimum time, which usually could not be achieved by a conventional inspection. Oriented-need inspection strategies offer even superior advantages when the crop and the ground water pollution regulation controls have been followed from the beginning, in order to reduce holding times within sewers in a critical class-condition.

The Legal System and Its African American Constituents

2018 ◽  
Author(s):  
James L. Gibson ◽  
Michael J. Nelson
Keyword(s):  
African American ◽  
Public Opinion ◽  
Legal System ◽  
Black People ◽  
Legal Authority ◽  
Linked Fate ◽  
Group Identities ◽  
Legal Legitimacy ◽  
Black Public Opinion ◽  
Representative Samples

Despite popular reports that the legal system is in a state of crisis with respect to its African American constituents, research on black public opinion in general is limited owing to the difficulty and expense of assembling representative samples of minorities. We suspect that the story of lagging legal legitimacy among African Americans is in fact quite a bit more nuanced than is often portrayed. In particular, black public opinion is unlikely to be uniform and homogeneous; black people most likely vary in their attitudes toward law and legal institutions. Especially significant is variability in the experiences—personal and vicarious—black people have had with legal authorities (e.g., “stop-and-frisk”), and the nature of individuals’ attachment to blacks as a group (e.g., “linked fate”). We posit that both experiences and in-group identities are commanding because they influence the ways in which black people process information, and in particular, the ways in which blacks react to the symbols of legal authority (e.g., judges’ robes).

scholarly journals Post-Islamism and Intellectual Production: A Bibliometric Analysis of the Evolution of Contemporary Islamic Thought

Religions ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 49
Author(s):  
Mohamed Amine Brahimi ◽  
Houssem Ben Lazreg
Keyword(s):  
Social Sciences ◽  
Social Dynamics ◽  
Scientific Field ◽  
Social Sciences And Humanities ◽  
Islamic Reform ◽  
The Social ◽  
Islamic Thought ◽  
Thinking Differently ◽  
Intellectual Production ◽  
Representative Samples

The advent of the 1990s marked, among other things, the restructuring of the Muslim world in its relation to Islam. This new context has proved to be extremely favorable to the emergence of scholars who define themselves as reformists or modernists. They have dedicated themselves to reform in Islam based on the values of peace, human rights, and secular governance. One can find an example of this approach in the works of renowned intellectuals such as Farid Esack, Mohamed Talbi, or Mohamed Arkoun, to name a few. However, the question of Islamic reform has been debated during the 19th and 20th centuries. This article aims to comprehend the historical evolution of contemporary reformist thinkers in the scientific field. The literature surrounding these intellectuals is based primarily on content analysis. These approaches share a type of reading that focuses on the interaction and codetermination of religious interpretations rather than on the relationships and social dynamics that constitute them. Despite these contributions, it seems vital to question this contemporary thinking differently: what influence does the context of post-Islamism have on the emergence of this intellectual trend? What connections does it have with the social sciences and humanities? How did it evolve historically? In this context, the researchers will analyze co-citations in representative samples to illustrate the theoretical framework in which these intellectuals are located, and its evolution. Using selected cases, this process will help us to both underline the empowerment of contemporary Islamic thought and the formation of a real corpus of works seeking to reform Islam.

scholarly journals Hybridization of ring theory-based evolutionary algorithm and particle swarm optimization to solve class imbalance problem

2021 ◽  
Author(s):  
Sayan Surya Shaw ◽  
Shameem Ahmed ◽  
Samir Malakar ◽  
Laura Garcia-Hernandez ◽  
Ajith Abraham ◽  
...  
Keyword(s):  
Particle Swarm Optimization ◽  
Real Life ◽  
Class Imbalance ◽  
Ring Theory ◽  
Class Imbalance Problem ◽  
Minority Class ◽  
Swarm Optimization ◽  
Imbalance Problem ◽  
Representative Samples ◽  
Selection Of

AbstractMany real-life datasets are imbalanced in nature, which implies that the number of samples present in one class (minority class) is exceptionally less compared to the number of samples found in the other class (majority class). Hence, if we directly fit these datasets to a standard classifier for training, then it often overlooks the minority class samples while estimating class separating hyperplane(s) and as a result of that it missclassifies the minority class samples. To solve this problem, over the years, many researchers have followed different approaches. However the selection of the true representative samples from the majority class is still considered as an open research problem. A better solution for this problem would be helpful in many applications like fraud detection, disease prediction and text classification. Also, the recent studies show that it needs not only analyzing disproportion between classes, but also other difficulties rooted in the nature of different data and thereby it needs more flexible, self-adaptable, computationally efficient and real-time method for selection of majority class samples without loosing much of important data from it. Keeping this fact in mind, we have proposed a hybrid model constituting Particle Swarm Optimization (PSO), a popular swarm intelligence-based meta-heuristic algorithm, and Ring Theory (RT)-based Evolutionary Algorithm (RTEA), a recently proposed physics-based meta-heuristic algorithm. We have named the algorithm as RT-based PSO or in short RTPSO. RTPSO can select the most representative samples from the majority class as it takes advantage of the efficient exploration and the exploitation phases of its parent algorithms for strengthening the search process. We have used AdaBoost classifier to observe the final classification results of our model. The effectiveness of our proposed method has been evaluated on 15 standard real-life datasets having low to extreme imbalance ratio. The performance of the RTPSO has been compared with PSO, RTEA and other standard undersampling methods. The obtained results demonstrate the superiority of RTPSO over state-of-the-art class imbalance problem-solvers considered here for comparison. The source code of this work is available in https://github.com/Sayansurya/RTPSO_Class_imbalance.

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