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Observation Oriented Modeling:Preparing students for research in the 21st century
Oriented Modeling Preparing students the 21st century
2016/3/16
Observation Oriented Modeling is an alternative to traditional methods of data conceptualization and analysis that challenges researchers to develop integrated, explanatory models of patterns of obser...
The study reported in this article was an attempt to investigate how teachers evaluate the achievement of their students. The study was based on a dataset created from portfolios containing achievemen...
Longitudinal Study in Male Swimmers: A Hierachical Modeling of Energetics and Biomechanical Contributions for Performance
Male swimmers tracking training testing annual changes
2015/5/19
The aim of this study was to assess the pooled and individual response of male swimmers over two consecutive years of training and identify the energetic and biomechanical factors that most contribute...
Modeling Dyadic Attunement: Physiological Concordance in Newly Married Couples and Alliance Similarity in Patient-Therapist Dyads
alliance attunement cortisol dyadic analysis hierarchical linear modeling relationship process
2014/11/5
Mutual influence within relationships is theorized as central to human development and functioning across the lifespan. Multiple theories posit a process of progressive bidirectional influence that re...
Modeling the Influence of Childhood Trauma on Rate of Symptom Change Among Psychiatric Inpatients
childhood trauma psychiatric hospitalization response to treatment symptom change
2014/11/5
Clinical wisdom suggests that adults with histories of childhood trauma will have difficulty engaging in psychotherapy. I examined the relationship between early childhood trauma and treatment respons...
Current Signal Detection Theory models of source memory necessitate assumptions about the underlying distributions of source strengths to describe source memory performance. The current experiments ap...
Modeling Time in Medical Education Research: The Potential of New Flexible Parametric Methods of Survival Analysis
Study Dropout Medical Studies Survival Analysis Flexible Parametric Models Royston-Parmar Models
2013/2/20
Time – the duration of a certain process or the timing of a specified event – plays a central role in many situations in medical research. Waiting time analysis (“survival analysis”) is a field of sta...
Demand Based Balance of Flow Manpower Modeling for Education Policy in Afghanistan
Afghan education education policy manpower model
2014/8/8
This research uses a demand based balance of
ow man-
power model premised in mathematical programming to provide insight
into the potential futures of the Afghan Education System. We will later
u...
Using Ecological Modeling to Enhance Instruction in Population Dynamics and to Stimulate Scientific Thinking
Population Dynamics Education Alternative Methodology Experimental Design Mathematical Models
2013/2/21
Population dynamics has commonly been explored in high-school and undergraduate-level courses in ecology. The techniques used for teaching population dynamics can provide students with the required ba...
Diel cycles of the particulate beam attenuation coefficient under varying trophic conditions in the northwestern Mediterranean Sea: Observations and modeling
Observations modeling particulate beam attenuation coefficient
2014/4/4
The changes in shape, amplitude, and timing in the diel variability of the particulate beam attenuation
coefficient (cp) were investigated at 4 and 9 m during two seasonal cycles at an oceanic site i...
Log-linear modeling and two-sample CFA in the search of discrimination types
Two-sample comparison Configural Frequency Analysis (CFA) two-sample CFA log-linear modeling (LLM) nonparametric testing contingency table analysis
2010/1/4
Two-sample configural frequency (CFA) is suggested as a useful statistical tool to compare data from pretest-posttest-designs. The investigated data may be difference or improvement scores. The above ...
Structural Equation Modeling (SEM) vs. Configural Frequency Analysis (CFA): An empirical approach
Structural Equation Modeling (SEM) Prediction Configural Frequency Analysis (P-CFA SEM model tetrachoric correlations asymptotic covariance matrix
2010/1/4
Structural Equation Modeling (SEM) denotes a group of statistical methods which are predominantly applied to metric scaled and normal distributed data. Recently SEM has often been applied to categoric...
Modeling intraindividual change over time in the absence of a Gold Standard
Classification errors epidemiology physical aggression National Longitudinal Survey of Children and Youth
2009/12/30
Looking at intra-individual change over time in a particular phenomenon may present some methodological challenges. The aim of this report was: 1. To show the effect of independent classification erro...
Formal modeling in research on episodic memory and aging
Formal modeling research episodic memory aging
2009/12/29
For about forty years, age-related differences in episodic-memory tasks have been a major focus of the growing field of cognitive-aging research. Most theoretical approaches invoked to explain such di...
Acclimatization in High-Altitude Sport：Predictive Modeling of Oxygen Saturation as an Expedition Management Tool
High-Altitude Sport Expedition Management Tool Oxygen Saturation
2009/9/3
A management perspective is taken in developing a predictive model to forecast blood oxygen saturation levels for trekkers and mountaineers ascending to high altitudes. Blood oxygen saturation is an i...