Use of Factor Analysis Scores in Multiple Regression Model for Estimation of Body Weight from Some Body Measurement in Muscovy Duck

Ogah, D. M.; Alaga, A. A.; Momoh, M. O.

doi:10.3923/ijps.2009.1107.1111

Cited by 8 publications

(9 citation statements)

References 4 publications

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“…The total variance explained (62.70 %) and three principal components extracted for drakes in the present study were lower compared to reports of related studies: Ogah et al (2009a) and Ogah et al (2009b) extracted four factors each accounting for 71.85 % and 69.7 % of the total variation explained respectively, for adult male Muscovy ducks. Mc Cracken et al (2000) also reported 75.2 % for five components extracted in male Musk ducks.…”

Section: Principal Component Analysis Of Male Muscovy Duckscontrasting

confidence: 54%

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Sexual size dimorphism and sex determination by morphometric measurements in locally adapted muscovy duck (Cairina moschata) in Nigeria

Oguntunji

Ayorinde

2015

AAS

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Sexual size dimorphism (SSD) is a common phenomenon in most mammalian and poultry species. This study was undertaken to investigate SSD in nondescript locally adapted Muscovy ducks in Nigeria by applying descriptive analysis, sexual dimorphism index (SDI), sexual size dimorphism index (SSDI) and Principal Component analysis to morphological variables. Besides, attempt was made to identify best morphological predictors of sex using Stepwise Discriminant analysis. Data on ten morphological traits; body weight, body girth, body length, wing length, shank length, shank circumference, thigh length, total leg length, bill length and bill width were taken from 1,020 extensively managed adult Muscovy ducks comprising 287 males and 733 females. These birds were randomly sampled from Rain Forest, Derived Savanna and Guinea Savanna agro-ecological zones of Nigeria. Sex significantly (P < 0.001) affected all morphometric measurements in favour of males. Assessment of relative contribution of morphological traits to SSD through SDI and SSDI revealed that body weight followed by skeletal frame-related variables (body length and wing length) were the most dimorphic traits. Three Principal Components were generated for each sex; accounting for 62.70 % and 54.24 % of the total variance explained of male and female ducks, respectively. In tandem with the SDI and SSDI results, Stepwise Discriminant analysis indicated body weight as the best predictor of sex of adult Muscovy ducks followed by wing length and body length; correctly classifying 98.5 % of ducks and are reliable for sex determination in the field. The established SSD in this study could be employed for description, utilization, selection and planning of improvement programs of male and female Muscovy ducks.Key words: ducks / Muscovy duck / Cairina moschata / sex / size / dimorphism / morphometric measurements / Nigeria Spolni dimorfizem in določitev spola na osnovi morfometričnih meritev pri lokalno prilagojeni muškatni raci (Cairina moschata) v Nigeriji Spolni dimorfizem telesne velikosti (SDTV) je splošen pojav pri večini vrst sesalcev in perutnine. To študijo smo zasnovali z namenom, da bi proučili SDTV pri doslej neopisani, na lokalne razmere prilagojeni muškatni raci v Nigeriji s pomočjo opisne analize, indeksa spolnega dimorfizma (ISD), indeksa spolnega dimorfizma telesne velkosti (ISDTV) in analize glavnih komponent variance morfoloških lastnosti. Poskušali smo tudi določiti morfološke lastnosti z največjo napovedno vrednostjo za določitev spola z več-stopenjsko diskriminantno analizo. Podatke o desetih morfoloških lastnostih: telesna masa, obseg telesa, dolžina telesa, dolžina krill, dolžina goleni, obseg goleni, dolžina stegna, dolžina noge, dolžina kljuna in širina kljuna, smo zbrali pri 1.020 muškatnih racah iz ekstenzivne reje, med katerimi je bilo 287 samcev in 733 samic. Ptice smo vzorčili naključno v agro-ekoloških conah deževnega gozda, degradirane in gvinejske savane v Nigeriji. Spol statistično značilno (p < 0,001) vpliva na morfometrične lastnosti. A...

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Section: Principal Component Analysis Of Male Muscovy Duckscontrasting

confidence: 54%

“…However, discrepancies were also observed in the number of PCs generated; while three PCs were generated in this study; Ogah et al (2009a) and Ogah et al (2009b) reported two and four, respectively.…”

Section: Principal Component Analysis Of Female Muscovy Ducksmentioning

confidence: 74%

Sexual size dimorphism and sex determination by morphometric measurements in locally adapted muscovy duck (Cairina moschata) in Nigeria

Oguntunji

Ayorinde

2015

AAS

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“…The study was carried out both to predict the body weight using the factor analysis scores that were calculated using certain body measurements of the Romanov lambs and multiple regression model and to solve the multicollinearity between the relevant body measurements. Similar studies were also carried out on sheep and goat breeding (Keskin, Daskiran & Kor, 2007; Cankaya et al, 2006; Cankaya et al, 2009; Onk, Sarı & Gurcan, 2018; Eyduran, Karakus & Karakus, 2009; Khan et al, 2014; Yakubu, 2009; Daskiran, Keskin & Bingol, 2017; Merkhan, 2014), poultry breeding (Celik et al, 2018; Pimentel et al, 2007; Ogah, Alaga & Momah, 2009) and aquaculture (Eyduran, Topal & Sonmez, 2010; Sangun et al, 2009).…”

Section: Discussionmentioning

confidence: 75%

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

Tahtali¹

2019

PeerJ

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The study investigates the solution of the multicollinearity between certain body measurements of Romanov lambs and prediction of the body weight of Romanov lambs using the thus calculated factor analysis scores and a multiple regression model. For this purpose, the body measurements (wither height (WH), croup height (CH), body length (BL), chest depth (CD), chest circumference (CC), chest width behind shoulders (CWS) and head length (HL)) and body weight (BW) of 6-month-old 50 Romanov lambs born in 2015 were used. The factor analysis scores were used to obtain the prediction equation for the relationship between the investigated traits. The analysis results showed that there was a multicollinearity between the wither and croup height traits used in the prediction equation. Moreover, the results revealed that the variables for the body measurements can be represented by two factors. These factors explained 50.89% and 22.86% of the total variance, respectively. The multicollinearity between the independent variables was eliminated with the use of the factor scores obtained with the factor analysis in the multiple regression model, and thus it was observed that better results can be obtained by using the factor analysis scores in the prediction of the body weight of 6-month-old Romanov lambs.

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“…Nonetheless, this study applies a refined Factor Analysis (RFA) to mitigate, and as also mentioned by Tavakol and Dennick (2011), the FA can detect the essential items in a dimension (or so-called variable). Our refined FA method reduces the effect of less essential items on the corresponding variables with a high correlation and omits multicollinearity problems (Keskin et al, 2007;Ogah et al, 2009;Yakubu et al, 2009). One loading score value resulting from the refined FA results is a weighted average value based on the role of these items in the variable (DiStefano et al, 2009).…”

Section: The Study's Measurementmentioning

confidence: 99%

The absorptive capacity process: an exposition and update

Lukito-Budi

Indarti

Setiawan

2021

JOCM

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PurposeThis study investigates the development of absorptive capacity. Using an integrated cognitive learning perspective, this study provides empirical evidence about the conceptual absorptive capacity model through examining the full process step by step. Two groups of moderating variables were studied—namely, social integration and appropriability—to examine their impact on the process.Design/methodology/approachThis study employed a longitudinal study from a community service program (Kuliah Kerja Nyata) at Universitas Gadjah Mada, Yogyakarta, Indonesia, by using surveys at the beginning and the end of the project. Of 492 teams from 2,444 students participated in the study. Each individual within a team had at least one project assigned to him/her during the project. The absorptive capacity process was examined through six consecutive models and analysed using hierarchical linear modelling. The moderating variables were tested using the Moderated Regression Analysis and Wald tests.FindingsThe study confirms the full cycle of absorptive capacity as an independent, dynamic and complex process; it involves acquiring, assimilating, transforming and exploiting sequencing variables from the individual level to the team level and vice versa using feed-forward and feedback mechanisms adopted from the 4I framework of organisational learning. However, the roles of the moderating variables are still inconclusive due to some possible factors, which were also reflected by the U-phenomenon.Originality/valueThis study provides vital support to the learning theory as well as to the organisation learning concept. This study also reveals empirical evidence about the unsupported moderating variables behave during a project cycle, such as what they function, how they evolve and what we should do about the moderating factors during a project. The findings of this study provide practical suggestions and highlight areas for future research.

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Use of Factor Analysis Scores in Multiple Regression Model for Estimation of Body Weight from Some Body Measurement in Muscovy Duck

Cited by 8 publications

References 4 publications

Sexual size dimorphism and sex determination by morphometric measurements in locally adapted muscovy duck (Cairina moschata) in Nigeria

Sexual size dimorphism and sex determination by morphometric measurements in locally adapted muscovy duck (Cairina moschata) in Nigeria

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

The absorptive capacity process: an exposition and update

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