Results 101 to 110 of about 470,038 (304)

Phylogenomics, ecomorphological evolution, and historical biogeography in Deuterocohnia (Bromeliaceae: Pitcairnioideae)

American Journal of Botany, EarlyView.
Abstract Premise Species of Deuterocohnia (17 spp.) show extraordinary variation in elevation (0–3900 m a.s.l.) and growth forms, and many have narrow geographic distributions in the west‐central Andes and the Peru‐Chile coast. Previous research using few plastid and nuclear loci failed to produce well‐resolved or supported phylogenies.
Bing Li, Nicole Schütz, Kurt Weising, Georg Zizka, Jacob B. Landis, Thomas J. Givnish   +5 more
wiley   +1 more source

Factor Analysis of Ordinal Items: Old Questions, Modern Solutions?

Stats
Factor analysis, a staple of correlational psychology, faces challenges with ordinal variables like Likert scales. The validity of traditional methods, particularly maximum likelihood (ML), is debated.
João Marôco
doaj   +1 more source

Ordinal Variable Selection in Decision Trees [PDF]

Korean Journal of Applied Statistics, 2006
The most important component in decision tree algorithm is the rule for split variable selection. Many earlier algorithms such as CART and C4.5 use greedy search algorithm for variable selection. Recently, many methods were developed to cope with the weakness of greedy search algorithm. Most algorithms have different selection criteria depending on the
openaire   +1 more source

Economic Explanation, Ordinality and the Adequacy of Analytic Specification [PDF]

This paper examines the implicit links between models containing ordinal variables and their underlying unquantified counterparts that are necessary to make the former viable theoretical constructions.
Donald W. Katzner, Peter Skott
core  

Mental health service use among Filipino American and Korean American young adults during the COVID‐19 pandemic

American Journal of Community Psychology, EarlyView.
Abstract Despite the heightened mental health challenges amid rising Anti‐Asian sentiment, Asian Americans have significantly underutilized mental health services, a trend that persisted even before the COVID‐19 pandemic. Although considerable efforts have been made to understand how various factors are related to mental health service use in this ...
Michael Park, Eunseok Jeong, Nari Yoo, Yoonsun Choi, Leopoldo J. Cabassa, Miwa Yasui, David Takeuchi   +6 more
wiley   +1 more source

An approach to the integral optimization of investment portfolios

Journal of Open Innovation: Technology, Market and Complexity
A comprehensive approach to the optimization of financial portfolios is provided by the Integral Analysis Method (IAM), which comprises four steps: The description of the problem is followed by three mathematical steps, namely, cardinal analysis, ordinal
Rafael Guillermo García-Cáceres, Franklin Ignacio Páez-Rivera, Bernarda Aldana-Gómez, Ernesto Acosta-Gempeler, John Wilmer Escobar-Velásquez   +4 more
doaj   +1 more source

Ordinal Comparison of Multidimensional Deprivation: theory and application [PDF]

This paper develops an ordinal method of comparison of multidimensional inequality. In our model, population distribution g is more unequal than f when the distributions have common median and can be obtained from f by one or more shifts in population ...
Christoffer Sonne-Schmidt, Finn Tarp, Lars Peter Østerdal   +2 more
core  

Associations between inclusive community coalition leadership and use of evidence‐based practices

American Journal of Community Psychology, EarlyView.
Abstract Community coalitions have the potential to elicit diverse participants' perspectives on complex issues and generate shared commitment to adaptive strategies. Ideally, these approaches have been found effective elsewhere. Despite evidence that leadership plays a generally important role in coalitions, there have been limited prior findings ...
Rebecca Wells, Nalini Ranjit, Louis D. Brown, Sarah M. Chilenski, Yvonne Mary Gaddy   +4 more
wiley   +1 more source

Estimating the Minimum Sample Size for Neural Network Model Fitting—A Monte Carlo Simulation Study

Behavioral Sciences
In the era of machine learning, many psychological studies use machine learning methods. Specifically, neural networks, a set of machine learning methods that exhibit exceptional performance in various tasks, have been used on psychometric datasets for ...
Yongtian Cheng, Konstantinos Vassilis Petrides, Johnson Li   +2 more
doaj   +1 more source

Generating Factor Variables for Asymmetry, Non-independence and Skew-symmetry Models in Square Contingency Tables using SAS

Journal of Statistical Software, 2002
In this paper, a SAS program (macro) is written to generate factor and regression variables required for implementing asymmetry, non-independence, non-symmetry + independence models as well as skew-symmetry models in discussed in square a x a contingency
H. Bayo Lawal, Richard A. Sundheim
doaj   +1 more source