Critically evaluating the use of dark trait measurement in selection

2019 ◽  
Vol 12 (2) ◽  
pp. 163-166
Author(s):  
Sydney L. Reichin ◽  
Elizabeth M. Grimaldi ◽  
James M. LeBreton
Keyword(s):  
Trait Measurement

scholarly journals A rasch analysis of a measure of stakeholders inputs for the South African occupational learning context

2015 ◽  
Vol 5 (3) ◽  
pp. 94-103
Author(s):  
Maelekanyo Christopher Tshilongamulenzhe
Keyword(s):  
South African ◽  
Rasch Analysis ◽  
Survey Design ◽  
Learning Context ◽  
The South ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Good Person ◽  
Trait Measurement ◽  
Occupational Learning

This study assesses the psychometric properties of the Stakeholders Inputs (SI) scale which is designed for the South African occupational learning context. A quantitative, non-experimental cross-sectional survey design was used and data were collected from a sample of 652 respondents. Data were analysed using SPSS and Winsteps software. The findings reveal that the SI scale is a psychometrically robust instrument suitable for application in the South African occupational learning context. The measure shows a good person and item separation indices and no evidence of item misfit. All items contribute to a single trait measurement.

ESTIMATION OF HERITABILITY OF AN INDEX

1978 ◽  
Vol 20 (4) ◽  
pp. 485-487 ◽  
Author(s):  
C. Y. Lin
Keyword(s):  
Experimental Data ◽  
Selection Index ◽  
Estimation Methods ◽  
Trait Measurement ◽  
Genetic Index

Two alternative ways of calculating heritability of an index are presented. The first method is the regression of genetic index on the selection index and the second method is the ordinary analysis of co-variance among relatives where the selection index is treated as a single trait measurement. It is shown that these two estimation methods are equivalent theoretically and yield similar estimates from experimental data.

scholarly journals Determine Entrepreneurial Characteristics Using Mobile Android Game Freezer

2018 ◽  
Vol 12 (1) ◽  
pp. 141 ◽  
Author(s):  
Mohammad Ismail ◽  
Ahmad Fuad Ibrahim ◽  
Mohd Rafi Yaacob ◽  
Asrul Hey Ibrahim ◽  
Mohd Nazri Zakaria ◽  
...  
Keyword(s):  
Personal Development ◽  
Development Planning ◽  
Young Generation ◽  
Psychometric Test ◽  
Entrepreneurial Characteristics ◽  
Individual Trait ◽  
Long Time ◽  
Trait Measurement ◽  
Business Person ◽  
Simulated Scenario

<h1>Psychometric Test has been used as an individual trait measurement for a long time for both experienced entrepreneurs as well as young generation who are looking for their potential in entrepreneurship. The assessment and measurement of strength and weaknesses of key entrepreneurial traits provides the entrepreneurial level and personal development planning for entrepreneur or those who want to venture into business. However, the traditional psychometric test lacks of fun element which is less enjoyable activity during answering the test. Furthermore, it requires basic understanding of business jargon that difficult for certain respondents to provide accurate respond. The purpose of this study is to propose a gamification approach which is mobile game application called ‘Freezer’ that can measured entrepreneurial traits of the player. In this sense, ‘Freezer’ creates a simulated scenario for respondents to play as an ice cream business owner and to win as a successful business person, each action done will be measured as entrepreneurial traits criteria. At the end of the game, the result will be presented that can describe the entrepreneurial characteristics of the individuals based on their planning and activities during playing the game.</h1><p> </p><p> </p>

Computerized Adaptive Trait Measurement: Problems and prospects

1975 ◽  
Author(s):  
Nancy E. Betz ◽  
James R. McBride ◽  
James B. Sympson ◽  
C. David Vale ◽  
David J. Weiss ◽  
...  
Keyword(s):  
Adaptive Trait ◽  
Trait Measurement

scholarly journals PSXII-23 Identification and evaluation of novel fertility traits using automated activity monitor data from commercial dairy herds

2020 ◽  
Vol 98 (Supplement_4) ◽  
pp. 248-249
Author(s):  
Camila A Rosenberg ◽  
Diercles F Cardoso ◽  
Francesca Malchiodi ◽  
Flavio Schenkel ◽  
Christine F Baes
Keyword(s):  
Reproductive Performance ◽  
Production Efficiency ◽  
Management Practices ◽  
Production Systems ◽  
Negative Impact ◽  
Cost Effective ◽  
Activity Monitor ◽  
Dairy Herds ◽  
Trait Measurement ◽  
Fertility Traits

Abstract The reproductive performance of dairy herds is a determinant factor in their production efficiency and long-term profitability. While the genetic improvement of fertility in cows has been a top breeding objective, its success has been constrained by the low heritability of current traits and the negative impact of management practices on trait measurement accuracy. The recent development and adoption of automated sensor technologies, such as activity monitors, within dairy production systems have provided new opportunities to identify relevant and cost-effective phenotypes of fertility. To date, several activity-based measurements of estrus expression have been associated with fertility outcomes and may, therefore, be suitable predictors of female fertility. The objective of this study was to identify and evaluate novel estrus-related fertility traits using automated activity monitor (AAM) data from commercial dairy herds. A total of 8,730,987 records consisting of 10,529 estrus events were collected between January 2019 and March 2020 from 2,434 cows and 689 heifers of two U.S. commercial herds, where cows were fitted with collar-mounted accelerometers (Heatime, SCR Engineers Ltd., Netanya, Israel). The AAM dataset contained individual bi-hourly activity and rumination patterns, as well as computed fertility index scores, which were used to derive fertility traits related to estrus duration and intensity. The mean number of estrus events per cow and heifer was 4.06 ± 0.04 and 2.63 ± 0.07, respectively, with 1,408 of estruses resulting in pregnancy. Traditional fertility traits were calculated from the breeding record information of 3,255 animals. An estimation of the heritabilities along with genetic and phenotypic correlations between the novel estrus-related fertility traits and traditional fertility traits was undertaken using the program AIREML. Outputs from this project are expected to provide further insight on how to best use AAM measurements to improve selection for reproductive performance in commercial dairy herds.

Generality of Behavioral Data: IV. Cross-Situational Invariance of Objectively Measured Behavior

1979 ◽  
Vol 48 (2) ◽  
pp. 471-477 ◽  
Author(s):  
Bo Heffler ◽  
David Magnusson
Keyword(s):  
Individual Differences ◽  
Analysis Of Variance ◽  
Significant Interaction ◽  
Rank Order ◽  
Direct Measure ◽  
Situational Characteristics ◽  
Characteristics Analysis ◽  
The Subject ◽  
Objectively Measured ◽  
Trait Measurement

One derivation which can be made from the traditional trait measurement personality model is that the rank order of individuals with respect to a certain behavior will be stable across situations. This hypothesis was studied for an objectively measured behavior, talking time, with systematic variation of situational characteristics. Analysis of variance yielded inter-individual differences across situations. However, the direct measure of rank order transsituational stability, coefficients of correlation between situations, did not show the expected, systematically high values. For some situations the intercorrelation was even negative. Thus, this result does not support the transsituation stability hypothesis. An indirect estimation of the subject-by-situation interaction was presented. An indication of a significant interaction was obtained.

scholarly journals PocketMaize: An Android-Smartphone Application for Maize Plant Phenotyping

2021 ◽  
Vol 12 ◽  
Author(s):  
Lingbo Liu ◽  
Lejun Yu ◽  
Dan Wu ◽  
Junli Ye ◽  
Hui Feng ◽  
...  
Keyword(s):  
Plant Traits ◽  
Low Cost ◽  
Leaf Traits ◽  
Smartphone Application ◽  
Plant Phenotyping ◽  
Phenotypic Characterization ◽  
Whole Plant ◽  
Outdoor Environments ◽  
Calibration Algorithm ◽  
Trait Measurement

A low-cost portable wild phenotyping system is useful for breeders to obtain detailed phenotypic characterization to identify promising wild species. However, compared with the larger, faster, and more advanced in-laboratory phenotyping systems developed in recent years, the progress for smaller phenotyping systems, which provide fast deployment and potential for wide usage in rural and wild areas, is quite limited. In this study, we developed a portable whole-plant on-device phenotyping smartphone application running on Android that can measure up to 45 traits, including 15 plant traits, 25 leaf traits and 5 stem traits, based on images. To avoid the influence of outdoor environments, we trained a DeepLabV3+ model for segmentation. In addition, an angle calibration algorithm was also designed to reduce the error introduced by the different imaging angles. The average execution time for the analysis of a 20-million-pixel image is within 2,500 ms. The application is a portable on-device fast phenotyping platform providing methods for real-time trait measurement, which will facilitate maize phenotyping in field and benefit crop breeding in future.

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