The tennessee value-added assessment system (TVAAS): Mixed-model methodology in educational assessment

1994 ◽  
Vol 8 (3) ◽  
pp. 299-311 ◽  
Author(s):  
William L. Sanders ◽  
Sandra P. Horn
Keyword(s):  
Mixed Model ◽  
Value Added ◽  
Educational Assessment ◽  
Assessment System ◽  
Mixed Model Methodology

scholarly journals Selection of coffee progenies for resistance to nematode Meloidogyne paranaensis in infested area

2014 ◽  
Vol 14 (2) ◽  
pp. 94-101 ◽  
Author(s):  
Sonia Maria Lima Salgado ◽  
Juliana Costa de Rezende ◽  
José Airton Rodrigues Nunes
Keyword(s):  
Genetic Variability ◽  
Coffea Arabica ◽  
Mixed Model ◽  
High Rate ◽  
Germplasm Bank ◽  
Genotypic Association ◽  
Coffee Plants ◽  
Plagiotropic Branches ◽  
Mixed Model Methodology ◽  
Selection Of

The purpose of this study was to select Coffea arabica progenies for resistance to M. paranaensis in an infested coffee growing area using Henderson's mixed model methodology. Forty-one genotypes were selected at the Coffee Active Germplasm Bank of Minas Gerais, and evaluated in regard to stem diameter, number of plagiotropic branches, reaction to the nematode, and yield per plant. There was genetic variability among the genotypes studied for all the traits evaluated, and among the populations studied for yield and reaction to the nematode, indicating possibilities for obtaining genetic gains through selection in this population. There was high rate of genotypic association between all the traits studied. Coffee plants of Timor Hybrid UFV408-01 population, and F3 progenies derived from crossing Catuaí Vermelho and Amphillo MR 2161 were the most promising in the area infested by M. paranaensis.

scholarly journals ANALISIS PENERAPAN PEMUNGUTAN PAJAK PERTAMBAHAN NILAI PADA BUMN SEBAGAI PEMUNGUT DAN TIDAK SEBAGAI PEMUNGUT PAJAK PERTAMBAHAN NILAI (STUDI KASUS PADA PT PELABUHAN INDONESIA III Cabang Benoa)

2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Agista Ayu Aksari
Keyword(s):  
Data Analysis ◽  
Value Added ◽  
The State ◽  
Assessment System ◽  
Sales Tax ◽  
Value Added Tax ◽  
Self Assessment ◽  
A Value ◽  
The Difference

On 1st July 2012 SOE (State-Owned Enterprises)become the Value Added Tax (VAT) collector. According to the regulation of the Ministher of Finance No.85/PMK.03/2012 about the appointment of the State Owned Enterprises to collect, deposit and reporting Value Added Tax (VAT) and Sales Tax on Luxurious Goods, and precedures for collecting, depositing and reporting. The purpose of this research is to determine the difference between SOE as a Value Added Tax collector and not as a Value Added Tax collector.The object of this research is PT Pelabuhan Indonesia III cabang Benoa. The data analysis in this research is to analyze the calculation and reportig of VAT before being VAT collector and when it became VAT collector.The result of this research it is known that are the application of the value added tax on PT Pelabuhan Indonesia III Cabang Benoa before becoming tax collector is charged directly by fiskus and has official assessment system and as a PT Pelabuhan Indonesia III Cabang Benoa has a self assessment system whereby PT Pelabuahan Indonesia III Cabang Benoa became ILL wapu. Differnce in PT Pelabuhan Indonesia III Cabang Benoa as a collector, and the collector Is a time before becoming a collector has aself just my assessment system whereas before becoming a collector has official assessment system. Tax eceipt when it became a collector of VAT using duplicate counts 3 before becoming a collector only uses 2 of the double. For SSp before becoming a duplicate while using 4 collector as a collector to use duplicate. DOI 10.5281/zenodo.1214932

scholarly journals Plant selection in F2 segregating populations of papaya from commercial hybrids

2012 ◽  
Vol 12 (3) ◽  
pp. 191-198 ◽  
Author(s):  
Eder Jorge Oliveira ◽  
Gilberto de Andrade Fraife Filho ◽  
Juan Paulo Xavier de Freitas ◽  
Jorge Luiz Loyola Dantas ◽  
Marcos Deon Vilela de Resende
Keyword(s):  
Genetic Parameters ◽  
Mixed Model ◽  
Soluble Solids ◽  
Fruit Firmness ◽  
Plant Selection ◽  
F2 Population ◽  
The Common ◽  
Mixed Model Methodology ◽  
Fruit Diameter ◽  
Selection Of

The objective of this paper was to estimate the genetic parameters and additive genetic values in segregating populations of papaya using the mixed model methodology. Two F2 populations from Tainung and Calimosa hybrids were evaluated. The experimental design was an augmented block with four replicates, and Golden and Calimosa cultivars were the common treatment. Estimates of individual heritability were high for fruit length (FL) and weight (FW), moderate for fruit diameter (FD), and low for total soluble solids (TSS) and fruit firmness (FF). Considering FF and TSS as main traits for selection, genotypes of Calimosa-F2 population showed better performance to FF, but worse concerning TSS. It was selected 18.3% and 24.6% of plants from Tainung-F2 and Calimosa-F2 populations, respectively. Negative correlation between TSS and FF was not able to reduce the genetic gains. The segregating populations from Calimosa hybrid are more promising for the selection of papaya lines.

scholarly journals Comparison of growth curves of two genotypes of dairy goats using nonlinear mixed models

2013 ◽  
Vol 152 (5) ◽  
pp. 829-842 ◽  
Author(s):  
J. G. L. REGADAS FILHO ◽  
L. O. TEDESCHI ◽  
M. T. RODRIGUES ◽  
L. F. BRITO ◽  
T. S. OLIVEIRA
Keyword(s):  
Random Effects ◽  
Growth Curve ◽  
Mixed Model ◽  
Growth Curves ◽  
Growth Patterns ◽  
Dairy Goat ◽  
Residual Variance ◽  
Nonlinear Mixed Model ◽  
Error Structure ◽  
Mixed Model Methodology

SUMMARYThe objective of the current study was to assess the use of nonlinear mixed model methodology to fit the growth curves (weightv.time) of two dairy goat genotypes (Alpine, +A and Saanen, +S). The nonlinear functions evaluated included Brody, Von Bertalanffy, Richards, Logistic and Gompertz. The growth curve adjustment was performed using two steps. First, random effectsu1,u2andu3were linked to the asymptotic body weight (β1), constant of integration (β2) and rate constant of growth (β3) parameters, respectively. In addition to a traditional fixed-effects model, four combinations of models were evaluated using random variables: all parameters associated with random effects (u1,u2andu3), onlyβ1andβ2(u1andu2), onlyβ1andβ3(u1andu3) and onlyβ1(u1). Second, the fit of the best adjusted model was refined by using the power variance and modelling the error structure. Residual variance ($\sigma _e^2 $) and the Akaike information criterion were used to evaluate the models. After the best fitting model was chosen, the genotype curve parameters were compared. The residual variance was reduced in all scenarios for which random effects were considered. The Richards (u1andu3) function had the best fit to the data. This model was reparameterized using two isotropic error structures for unequally spaced data, and the structure known in the literature as SP(MATERN) proved to be a better fit. The growth curve parameters differed between the two genotypes, with the exception of the constant that determines the proportion of the final size at which the inflection point occurs (β4). The nonlinear mixed model methodology is an efficient tool for evaluating growth curve features, and it is advisable to assign biologically significant parameters with random effects. Moreover, evaluating error structure modelling is recommended to account for possible correlated errors that may be present even when using random effects. Different Richard growth curve parameters should be used for the predominantly Alpine and Saanen genotypes because there are differences in their growth patterns.

scholarly journals Serious Game Leverages Productive Negativity to Facilitate Conceptual Change in Undergraduate Molecular Biology

2017 ◽  
Vol 7 (2) ◽  
pp. 20-34 ◽  
Author(s):  
Andrea Gauthier ◽  
Jodie Jenkinson
Keyword(s):  
Conceptual Change ◽  
Educational Level ◽  
Game Design ◽  
Mixed Model ◽  
Value Added ◽  
Serious Game ◽  
Interactive Simulation ◽  
Stream Data ◽  
Simulation Group ◽  
Post Test

We designed a serious game, MolWorlds, to facilitate conceptual change about molecular emergence by using game mechanics (resource management, immersed 3rd person character, sequential level progression, and 3-star scoring system) to encourage cycles of productive negativity. We tested the value-added effect of game design by comparing and correlating pre- and post-test misconceptions, interaction statistics, and engagement in the game with an interactive simulation that used the same graphics and simulation system but lacked gaming elements. We tested first-, second-, and third-year biology students' misconceptions at the beginning and end of the semester (n = 526), a subset of whom played either the game (n = 20) or control (n = 20) for 30 minutes prior to the post-test. A 3x3 mixed model ANOVA revealed that, while educational level (first-, second-, or third-year biology) did not influence misconceptions from pre-test to post-test, the intervention type (no intervention, simulation, or game) did (p<.001). Pairwise comparisons showed that participants exposed to the interactive simulation (p = .007), as well as those exposed to the game (p<.001), lost significantly more misconceptions in comparison to those who did not receive any intervention, while adjusting for educational level. A trending difference was found between the simulation group and the gaming group (p = .084), with the gaming group resolving more misconceptions. Quantitative analysis of click-stream data revealed the greater exploratory freedom of the control simulation, with greater accessibility to individuals who do not play games on a regular basis. However, qualitative analysis of gameplay data showed that MolWorlds-players experienced significantly more instances of productive negativity than control-users (p<.001) and that a trending relationship exists between the quality of productively negative events and lower post-test misconceptions (p = .066).

scholarly journals Orange/Red Fluorescence of Active Caries by Retrospective Quantitative Light-Induced Fluorescence Image Analysis

2016 ◽  
Vol 50 (3) ◽  
pp. 295-302 ◽  
Author(s):  
Grace Felix Gomez ◽  
George J. Eckert ◽  
Andrea Ferreira Zandona
Keyword(s):  
Image Analysis ◽  
Mixed Model ◽  
Assessment System ◽  
Caries Detection ◽  
Percentage Increase ◽  
Caries Activity ◽  
Red Fluorescence ◽  
Mixed Model Anova ◽  
Retrospective Clinical Study ◽  
Final Observation

This retrospective clinical study determined the association of caries activity and orange/red fluorescence on quantitative light-induced fluorescence (QLF) images of surfaces that progressed to cavitation, as determined by clinical visual examination. A random sample of QLF images from 565 children (5-13 years) previously enrolled in a longitudinal study was selected. Buccal, lingual and occlusal surface images obtained after professional brushing at baseline and every 4 months over a 4-year period were analyzed for red fluorescence. Surfaces that progressed (n = 224) to cavitation according to the International Caries Detection and Assessment System (ICDAS 0/1/2/3/4 to 5/6 or filling), and surfaces that did not progress (n = 486) were included. QA2 image analysis software outputs the percentage increase of the red/green components as ΔR and area of ΔR (areaΔR) at different thresholds. Mixed-model ANOVA was used to compare progressive and nonprogressive surfaces to account for correlations of red fluorescence (ΔR and areaΔR) between surfaces within a subject. The first analysis used the first observation for each surface or the first available visit if the surface was unerupted (baseline), while the second analysis used the last observation prior to cavitation for surfaces that progressed and the last observation for surfaces that did not progress (final). There was a significant (p < 0.05) association between red fluorescence and progression to cavitation at thresholds ΔR0, ΔR10, ΔR20, ΔR60, ΔR70, ΔR80, ΔR90 and ΔRmax at baseline and for ΔR0 and ΔR10 at the final observation. Quantification of orange/red fluorescence may help to identify lesions that progress to cavitation. Future studies identifying microbiological factors causing orange/ red fluorescence and its caries activity are indicated.

Teacher Effects and Teacher Effectiveness: A Validity Investigation of the Tennessee Value Added Assessment System

2003 ◽  
Vol 25 (3) ◽  
pp. 287-298 ◽  
Author(s):  
Haggai Kupermintz
Keyword(s):  
Teacher Effectiveness ◽  
Teaching Effectiveness ◽  
Value Added ◽  
Assessment System ◽  
Policy Implications ◽  
Socioeconomic Background ◽  
Background Characteristics ◽  
Definition Of ◽  
Validation Research ◽  
Value Added Measures

This article addresses the validity of teacher evaluation measures produced by the Tennessee Value Added Assessment System (TVAAS). The system analyzes student test score data and estimates the effects of individual teachers on score gains. These effects are used to construct teacher value-added measures of teaching effectiveness. We describe the process of generating teacher effectiveness estimates in TVAAS and discuss policy implications of using these estimates for accountability purposes. Specifically, the article examines the TVAAS definition of teacher effectiveness, the mechanism employed in calculating numerical estimates of teacher effectiveness, and the relationships between these estimates and student ability and socioeconomic background characteristics. Our validity analyses point to several logical and empirical weaknesses of the system, and underscore the need for a strong validation research program on TVAAS.

Improving Educational Assessment: Multivariate Statistical Methods

2017 ◽  
Vol 5 (1) ◽  
pp. 19-24 ◽  
Author(s):  
Li Cai ◽  
Mark Hansen
Keyword(s):  
Language Proficiency ◽  
Large Scale ◽  
English Language ◽  
Educational Assessment ◽  
English Language Proficiency ◽  
Assessment System ◽  
Current Debate ◽  
Multivariate Statistical ◽  
First Case ◽  
Proficiency Assessment

This review presents two case studies that illustrate how multivariate statistical modeling applies to the specific goal of improving educational assessment. The first case study involves the development of a new large-scale English language proficiency assessment system (called the English Language Proficiency Assessment for the 21st Century; ELPA21). The second application concerns efforts to quantify student progress in learning using conditional growth models, a topic of current debate about assessment policy. A popular measure, Student Growth Percentile (SGP), is explored through the lens of multivariate statistical analysis. It is concluded that collaboration between researchers and practice stakeholders can improve assessments that benefit student learning.

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