Use of factor scores in multiple regression analysis for estimation of body weight by certain body measurements in Romanov Lambs

Tahtali, Yalçın

doi:10.7717/peerj.7434

Cited by 18 publications

(16 citation statements)

References 11 publications

(22 reference statements)

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“…To analyze the collected data, descriptive analysis was used to find the current practices and multiple regression analysis was used to establish the relationships between dependent and independent variables. The multiple regression analysis was used in the study as one of the methods to describe the relationship between one dependent variable and multiple independent variables (Jomnonkwao et al, 2020;Tahtali, 2019). For descriptive analysis, mean value in between 1 and 2.99 is considered low, 3 and 3.99 is moderate, and 4 and 5 is high.…”

Section: Discussionmentioning

confidence: 99%

Relationships Between Supervision and Teachers’ Performance and Attitude in Secondary Schools in Malaysia

Hoque

Kenayathulla

et al. 2020

SAGE Open

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This study was carried out to determine the relationships between supervision and teachers’ performance and attitude in secondary schools in Kuala Lumpur, Malaysia. This is a quantitative study where the 5-point Likert-type-scale questionnaire was used to analyze data using descriptive and inferential statistics. Simple random sampling was used to select the respondents. This study entailed respondents from various schools in one of the districts in Kuala Lumpur which comprises 200 teachers and 50 supervisors. Descriptive statistics were used to describe the status of supervision practices, teachers’ attitude toward supervision, and teachers’ level of performance after supervision. Multiple regression analysis was used to test the relationships between supervision (supervisory practices–directive, collaborative, and nondirective approach) and teachers’ performance and attitude. The current status of supervisory practices, teachers’ attitude toward supervision, and teachers’ performance after supervision is found at moderate level in secondary schools in Malaysia. As a whole, supervisory practices are not correlated with teachers’ performance and attitude. But worthy to mention, directive supervision is positively and significantly related to teachers’ performance and attitude. This study result will benefit the policy makers, school supervisors and headmasters to choose the right kind of supervisory practices which can contribute to better teaching performance.

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Section: Discussionmentioning

confidence: 99%

Relationships Between Supervision and Teachers’ Performance and Attitude in Secondary Schools in Malaysia

Hoque

Kenayathulla

et al. 2020

SAGE Open

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“…In fact, the Bartlett"s test value (5387.696; P < 0.001) and KMO value (0.934) obtained to test the divisibility of the correlation matrix into factors, the data was determined to be suitable for factor analysis. Therefore, obtaining significant results from both tests shows that the data are suitable for factor analysis (Tahtali, 2019). Both models were valid and reliable with no autocorrelations (D-W of 1.889) or multicollinearity (VIF ˂ 2) effects.…”

Section: Discussionmentioning

confidence: 80%

E-learning in the Lebanese Higher Education Institutions: An Assessment of Factors Leading to Students’ Satisfaction

Younis¹,

Hejase²,

Abdallah³

et al. 2021

ABR

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The Higher Education Institutions (HEIs) in Lebanon have been heavily impacted since the COVID-19 pandemic outbreak. The majority of the institutions had to react to the sudden decision to go online. In fact, they had to develop unplanned E-learning programs to assure the academic year’s survival. In Lebanon, the Ministry of Education & Higher Education (MEHE) has ordered all educational institutions, public and private, to stop physical learning and start implementing E-learning through various online platforms. Because of Lebanon’s unprepared infrastructure, students in universities struggled to continue their studies and to keep pace with others who have better situations. The purpose of this study is to assess the factors that may impact the success of E-learning in Lebanese universities and that affect students’ satisfaction in adapting to this unplanned phase. The study is quantitative, explorative, descriptive and causal. A questionnaire was designed to collect primary data from 380 university students belonging to ten universities. Data analysis was carried out using the SPSS version 25 software. Several statistical techniques were performed including descriptive statistics and carrying out relational analysis via Factor Analysis (FA) and linear regression. Five constructs were defined namely, (1) Infrastructure, (2) Computer Skills, (3) E-Learning Content & Autonomy, (4) Support from others, and (5) Satisfaction. Results show that students’ satisfaction is strongly influenced by the other four internal (2) and external (2) factors. Findings will support a set of recommendation directed to decision makers in HEI and the MEHE officials.

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“…Therefore, to explore the correlation between cashmere yield and growth traits of Liaoning cashmere goats, the breeding goal of indirectly increasing cashmere yield can be achieved by selecting the performance values of the corresponding traits that are easy to measure. In the breeding practice of domestic animals such as lambs [ 23 , 24 ], sheep [ 18 ] and goats [ 7 , 25 ], cattle [ 19 ], poultry [ 20 , 26 ], and aquaculture animals [ 10 , 27 ], countries use the correlation regression analysis method and correlation coefficient analysis between the traits to explore the phenotypic correlation and the direct relationship between the target traits, and the analysis of the degree of indirect influence accelerates the breeding process of the corresponding animals. At the same time, it is indicated that cashmere goat breeding should not only consider cashmere yield and growth traits but also need to consider the effects of other factors such as nutrient levels and feeding management on production performance.…”

Section: Discussionmentioning

confidence: 99%

“…In this study, a stepwise regression analysis was performed, and statistical data were used to investigate tolerance and VIF values, demonstrating the absence of multicollinearity (VIF < 10) among the variables. However, many studies with multicollinearity used factor score analysis to solve the problem [ 22 , 23 , 24 , 28 ]. Therefore, factor analysis was used in this study.…”

Section: Discussionmentioning

confidence: 99%

Stepwise Method and Factor Scoring in Multiple Regression Analysis of Cashmere Production in Liaoning Cashmere Goats

Meng

Zhang

Qin

et al. 2022

Animals

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Liaoning cashmere goat is a well-known local cashmere goat breed in China and even in the world. It is famous for producing cashmere with superior quality and high yield. Cashmere yield, body measurements, and body weight are the primary indicators of cashmere goat breeding, but the correlation between them is not yet clear. Therefore, this study investigated the relationship between certain body measurements, body weight, and cashmere yield in Liaoning cashmere goats using stepwise and factor score analyses in a multiple regression analysis. For this purpose, the body measurements (body slanting length (BSL), body height (BH), chest circumference (CC), pipe circumference (PC), chest depth (CD), chest width (CW), hip breadth (HB), body weight (BW) and cashmere yield (CY)) of 200 (2-year-old) Liaoning cashmere goats were collected. Stepwise analysis of the results showed that body weight had the greatest direct effect on cashmere yield, followed by hip breadth, while chest circumference mainly affected cashmere yield indirectly. The results of factor score analysis showed that the independent variable can be represented by two factors, which explained 49.596% and 12.095% of the total variance, respectively. The factor scores used in the regression analysis explained 75.8% of the total variance in Liaoning cashmere yield. The above studies show that the growth traits of Liaoning cashmere goats are closely related to the cashmere yield. Growth traits should be considered important factors in breed selection, germplasm identification, and rearing.

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Use of factor scores in multiple regression analysis for estimation of body weight by certain body measurements in Romanov Lambs

Cited by 18 publications

References 11 publications

Relationships Between Supervision and Teachers’ Performance and Attitude in Secondary Schools in Malaysia

Relationships Between Supervision and Teachers’ Performance and Attitude in Secondary Schools in Malaysia

E-learning in the Lebanese Higher Education Institutions: An Assessment of Factors Leading to Students’ Satisfaction

Stepwise Method and Factor Scoring in Multiple Regression Analysis of Cashmere Production in Liaoning Cashmere Goats

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