Journal articles: 'Multivariate analysis of variance MANOVA'

1

St»hle, Lars, and Svante Wold. "Multivariate analysis of variance (MANOVA)." Chemometrics and Intelligent Laboratory Systems 9, no. 2 (September 1990): 127–41. http://dx.doi.org/10.1016/0169-7439(90)80094-m.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Sutrisno, Sutrisno, and Dewi Wulandari. "Multivariate Analysis of Variance (MANOVA) untuk Memperkaya Hasil Penelitian Pendidikan." AKSIOMA : Jurnal Matematika dan Pendidikan Matematika 9, no. 1 (July 30, 2018): 37. http://dx.doi.org/10.26877/aks.v9i1.2472.

Full text

Abstract:

MANOVA merupakan solusi teknik analisis data kuantitatif bagi peneliti di dunia pendidikan yang ingin mengamati hasil belajar peserta didik dalam rangka menerapkan prinsip kebulatan dalam Kurikulum 2013 (prinsip evaluasi hasil belajar meliputi aspek kognitif, afektif, dan psikomotor). MANOVA mampu mengungkapkan perbedaan yang tidak ditampilkan ANOVA secara terpisah, sehingga dapat meningkatkan kesempatan untuk menemukan perubahan sebagai akibat dari perlakuan yang berbeda dan interaksinya. Dengan demikian, temuan hasil penelitian akan semakin kaya dan sangat berguna bagi perkembangan ilmu pengetahuan. Terdapat dua model analisis variansi yaitu model overparameterized dan model rerata sel. Model rerata sel memberikan pendekatan sederhana dan tidak ambigu, yang dapat digunakan pada data seimbang atau data tidak seimbang. Model ini menggunakan kontras untuk menyatakan efek utama dan interaksi. Uji persyaratan MANOVA meliputi uji normalitas multivariat dengan uji Mardia dan uji homogenitas matriks kovariansi dengan uji Box’s M. Terdapat beberapa statistik uji MANOVA yaitu Wilks’ Lambda, Pillai, Lawley-Hotelling, dan Roy’s Largest Root. Ketika hipotesis nol MANOVA ditolak, maka dilanjutkan ANOVA pada setiap variabel terikat. Apabila hipotesis nol ANOVA ditolak dan variabel bebas memiliki lebih dari dua nilai, maka dilakukan uji post hoc dengan metode Scheffe’. Prosedur ini menjaga taraf kesalahan α. Uji komparasi rerata antar sel tidak dapat dilakukan secara langsung menggunakan General Linear Model (GLM) pada SPSS. Prosedur yang dapat dilakukan adalah memanipulasi data dengan merubah kondisi eksperimentasi menjadi nilai-nilai yang dianggap satu variabel bebas, sehingga dapat dianalisis dengan One-Way ANOVA atau GLM. Kesulitan analisis multivariat pada perhitungannya yang terlalu rumit, sudah terpecahkan dengan adanya software statistik yang semakin canggih.Kata kunci: MANOVA, analisis multivariat, memperkaya hasil, penelitian pendidikan

APA, Harvard, Vancouver, ISO, and other styles

3

Grice, James W., and Michiko Iwasaki. "A Truly Multivariate Approach to Manova." Applied Multivariate Research 12, no. 3 (January 13, 2009): 199. http://dx.doi.org/10.22329/amr.v12i3.660.

Full text

Abstract:

All too often researchers perform a Multivariate Analysis of Variance (MANOVA) on their data and then fail to fully recognize the true multivariate nature of their effects. The most common error is to follow the MANOVA with univariate analyses of the dependent variables. One reason for the occurrence of such errors is the lack of clear pedagogical materials for identifying and testing the multivariate effects from the analysis. The current paper consequently reviews the fundamental differences between MANOVA and univariate Analysis of Variance and then presents a coherent set of methods for plumbing the multivariate nature of a given data set. A completely worked example using genuine data is given along with estimates of effect sizes and confidence intervals, and an example results section following the technical writing style of the American Psychological Association is presented. A number of issues regarding the current methods are also discussed.

APA, Harvard, Vancouver, ISO, and other styles

4

Mathew, Thomas. "MANOVA in the multivariate components of variance model." Journal of Multivariate Analysis 29, no. 1 (April 1989): 30–38. http://dx.doi.org/10.1016/0047-259x(89)90074-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

S, Varakumari, Dr PVRD Prasad RaoDr, M. Sirisha, and Dr K.R.R.Mohan Rao. "MANOVA- A Multivariate Statistical Variance Analysis for WSN Using PCA." International Journal of Engineering & Technology 7, no. 2.7 (March 18, 2018): 779. http://dx.doi.org/10.14419/ijet.v7i2.7.10976.

Full text

Abstract:

Wireless sensor systems (WSN) have turned into a successful answer for an extensive variety of uses. Most customary WSN models comprise of static hubs that are thickly sent over a discovery region. The total administrations of a characteristic part in the Wireless Sensor Networks (WSN) area since they fundamentally diminish the measure of information transmissions required and increment the vitality proficiency in those systems. All current accumulation strategies have been created in light of scientific models or capacities, the WSN client won't approach the first perceptions. Through this report, we propose a calculation that enables the base station to admittance the discoveries by presenting a dispersed technique for calculating the Principle Components Analysis (PCA). The recommended calculation depends on the transmission workload of the middle hubs. At whatever point you utilize PCA, include approaching arrangement from a downstream customer in a bundle, and accordingly, a middle hub not just sends a parcel as opposed to retransmitting all parcels. Subsequently, we can accomplish a significant lessening in information communication. We have broken down the execution of the planned calculation concluded arithmetical reproductions. The trial comes about demonstrate that our calculation works superior to anything the conglomeration in view of last age PCA calculations, for example, PCAs regarding exactness and proficiency.

APA, Harvard, Vancouver, ISO, and other styles

6

Emerson, Robert Wall. "MANOVA (Multivariate Analysis of Variance): An Expanded Form of the ANOVA (Analysis of Variance)." Journal of Visual Impairment & Blindness 112, no. 1 (January 2018): 125–26. http://dx.doi.org/10.1177/0145482x1811200113.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Rahayu, Siti Aisyah Tri. "MULTIVARIATE ANALYSIS OF VARIANCE (MANOVA) DALAM MOTIVASI WANITA BEKERJA (STUDIKASUS DIKOTA SURAKARTA)." Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi dan Pembangunan 3, no. 2 (January 1, 2007): 131. http://dx.doi.org/10.23917/jep.v3i2.3926.

Full text

Abstract:

The aims of this paper are: 1) To measures the differences between two dependent variables of woman's motivation on work is caused by economic and education factor; 2) To explain the interaction effect between independent variable age and culture to women's work motivation caused by economic and education factor.The empirical result of this research with MANOVA models are as follows. The impact of self-actualization, culture, husband's income, family's income on women determination of labor force participation has been very significant. Husband' income and culture have a significant negative effect on women determination of labor force participation. While self-actualization and family's income, have a significant positive effect on women determination of labor force participation.Based on the result, there are differences between independent variables (age and culture) vector mean to dependent variables (economic and education motivation)All multivariate tests indicate that the interaction effect is significant. Both Variables culture and education have a significant effect income variable at 0,05 significant level but not significant on education variables.One of the crucial policy implications of this paper is that we must enhance the government policy on that base on that result. Differences between male and female wages in the same working still exist now. Base on that reality, we must enhance the government policy to protection women's right on the economic activity and the equality in the human right both male and female worker.

APA, Harvard, Vancouver, ISO, and other styles

8

Steyn, H. S., and S. M. Ellis. "Estimating an Effect Size in One-Way Multivariate Analysis of Variance (MANOVA)." Multivariate Behavioral Research 44, no. 1 (February 10, 2009): 106–29. http://dx.doi.org/10.1080/00273170802620238.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Smith, Kendal N., Kristen N. Lamb, and Robin K. Henson. "Making Meaning out of MANOVA: The Need for Multivariate Post Hoc Testing in Gifted Education Research." Gifted Child Quarterly 64, no. 1 (December 16, 2019): 41–55. http://dx.doi.org/10.1177/0016986219890352.

Full text

Abstract:

Multivariate analysis of variance (MANOVA) is a statistical method used to examine group differences on multiple outcomes. This article reports results of a review of MANOVA in gifted education journals between 2011 and 2017 ( N = 56). Findings suggest a number of conceptual and procedural misunderstandings about the nature of MANOVA and its application, including pervasive use of univariate post hoc tests to interpret MANOVA results. Accordingly, this article aims to make MANOVA more accessible to gifted education scholars by clarifying its purpose and introducing descriptive discriminant analysis as a more appropriate post hoc technique. A heuristic data set is used to demonstrate the procedures for running a descriptive discriminant analysis, both in place of a one-way MANOVA and as a post hoc analysis to a factorial design. SPSS and R syntax are provided.

APA, Harvard, Vancouver, ISO, and other styles

10

Everitt, B. S. "Analysis of longitudinal data." British Journal of Psychiatry 172, no. 1 (January 1998): 7–10. http://dx.doi.org/10.1192/bjp.172.1.7.

Full text

Abstract:

BackgroundLongitudinal data arise frequently in psychiatric investigations, and are most often analysed by multivariate analysis of variance (MANOVA) procedures. However, as routinely applied, the method is not satisfactory, particularly when the data are affected by subjects dropping-out of the study. More suitable methods are now available.MethodProblems with the MANOVA approach are discussed and the advantages of alternative procedures stressed.ResultsUsing MANOVA on complete cases to analyse unbalanced longitudinal data can be seriously misleading. More recently developed methods are far more suitable, but only if the missing values are non-informative.ConclusionsRoutine use of MANOVA for the analysis of longitudinal data, particularly when there is a substantial proportion of drop-outs, is ill advised. Statisticians have considerably enriched the available methodologies during the past decade, and psychiatric researchers dealing with such data should be aware of the advantages of the newer methods.

APA, Harvard, Vancouver, ISO, and other styles

11

Novak, Thomas P. "MANOVAMAP: Graphical Representation of MANOVA in Marketing Research." Journal of Marketing Research 32, no. 3 (August 1995): 357–74. http://dx.doi.org/10.1177/002224379503200310.

Full text

Abstract:

The author proposes a graphical representation of the multivariate analysis of variance (MANOVA). This representation, termed a “MANOVAMAP,” shows the magnitude of MANOVA model effects and their statistical significance in an easily interpreted statistical graphic. The author discusses the use and construction of MANOVAMAPs for an empirical example and compares it with both a traditional MANOVA analysis of the data and a traditional graphical analysis based on centroid plots.

APA, Harvard, Vancouver, ISO, and other styles

12

Ateş, Can, Özlem Kaymaz, H. Emre Kale, and Mustafa Agah Tekindal. "Comparison of Test Statistics of Nonnormal and Unbalanced Samples for Multivariate Analysis of Variance in terms of Type-I Error Rates." Computational and Mathematical Methods in Medicine 2019 (July 18, 2019): 1–8. http://dx.doi.org/10.1155/2019/2173638.

Full text

Abstract:

In this study, we investigate how Wilks’ lambda, Pillai’s trace, Hotelling’s trace, and Roy’s largest root test statistics can be affected when the normal and homogeneous variance assumptions of the MANOVA method are violated. In other words, in these cases, the robustness of the tests is examined. For this purpose, a simulation study is conducted in different scenarios. In different variable numbers and different sample sizes, considering the group variances are homogeneous σ12=σ22=⋯=σg2 and heterogeneous (increasing) σ12<σ22<⋯<σg2, random numbers are generated from Gamma(4-4-4; 0.5), Gamma(4-9-36; 0.5), Student’s t(2), and Normal(0; 1) distributions. Furthermore, the number of observations in the groups being balanced and unbalanced is also taken into account. After 10000 repetitions, type-I error values are calculated for each test for α = 0.05. In the Gamma distribution, Pillai’s trace test statistic gives more robust results in the case of homogeneous and heterogeneous variances for 2 variables, and in the case of 3 variables, Roy’s largest root test statistic gives more robust results in balanced samples and Pillai’s trace test statistic in unbalanced samples. In Student’s t distribution, Pillai’s trace test statistic gives more robust results in the case of homogeneous variance and Wilks’ lambda test statistic in the case of heterogeneous variance. In the normal distribution, in the case of homogeneous variance for 2 variables, Roy’s largest root test statistic gives relatively more robust results and Wilks’ lambda test statistic for 3 variables. Also in the case of heterogeneous variance for 2 and 3 variables, Roy’s largest root test statistic gives robust results in the normal distribution. The test statistics used with MANOVA are affected by the violation of homogeneity of covariance matrices and normality assumptions particularly from unbalanced number of observations.

APA, Harvard, Vancouver, ISO, and other styles

13

Huang, Francis L. "MANOVA: A Procedure Whose Time Has Passed?" Gifted Child Quarterly 64, no. 1 (December 16, 2019): 56–60. http://dx.doi.org/10.1177/0016986219887200.

Full text

Abstract:

Multivariate analysis of variance (MANOVA) is a statistical procedure commonly used in fields such as education and psychology. However, MANOVA’s popularity may actually be for the wrong reasons. The large majority of published research using MANOVA focus on univariate research questions rather than on the multivariate questions that MANOVA is said to specifically address. Given the more complicated and limited nature of interpreting MANOVA effects (which researchers may not actually be interested in given the actual post hoc strategies employed) and that various flexible and well-known statistical alternatives are available, I suggest that researchers consult these better known, robust, and flexible procedures instead, given the proper match with the research question of interest. Just because a researcher has multiple dependent variables of interest does not mean that a MANOVA should be used at all.

APA, Harvard, Vancouver, ISO, and other styles

14

Aniesedo, J. M., and C. N. Okoli. "Comparison of Four MANOVA Test Statistic for Pig Production in Delta State, Nigeria." European Journal of Engineering and Technology Research 6, no. 5 (July 7, 2021): 43–49. http://dx.doi.org/10.24018/ejers.2021.6.5.2502.

Full text

Abstract:

This study used the multivariate analysis of variance (MANOVA) test statistic to examine the impact of three categories feed used in the production of pig in Delta State. The multivariate test statistic considered are the Pillai – Bartlett trace, Wilks’ Test Statistic, Roy’s Largest Root Test Statistic, and the Lawley- Hotelling (LH) Statistic. The objectives include to: evaluate the robustness of the four Multivariate Analysis of Variance test statistics to ensure that the best is employed in multivariate analysis to guarantee most useful result in pig production; determine the relatively efficient test statistic for pig production; and determine the test statistic that is consistent across the sample sizes. Secondary source of data collection was used to obtain the data required for the analysis. The outcome of the study showed that the obtained data was multivariate normally distributed based on the result of the asymmetry-based multivariate normality test and the multivariate normality test based on the kurtosis test which makes the data suitable parametric multivariate method such as multivariate analysis of variance (MANOVA). The results show that the Wilks and Roy tests found a significant difference for the intercept. While the Pillai and LH tests could not find any significance. The Roy test was also found to be significant for feed one, feed two, and feed three. The Wilks and Roy tests also turned out to be significant differences for the intercept. All test measures showed significance for feed one. The Wilks and Roy tests also showed a significant difference for feed two, while all test measures found a significance for feed one. Another result showed that none of the tests found significance for the interaction between feed one and two, while the Roy test found significance for the interaction between feed one and three, feed two and three and feed one, two and three. The performance of the test for evaluating the performance of feeds for pig production with/without considering interactions was found to be in the following order of magnitude: Roy, Wilks and Pilla = LH. This result implies that the Roy method, with or without consideration of the interaction, has a better performance of the test than the other methods considered in the study.

APA, Harvard, Vancouver, ISO, and other styles

15

A. Ameen, Abdullah, and Osama H. Abbas. "Comparison of Some Robust Wilks’ Statistics for the One-Way Multivariate Analysis of Variance (MANOVA )." Journal of Al-Qadisiyah for computer science and mathematics 11, no. 2 (August 26, 2019): 42–58. http://dx.doi.org/10.29304/jqcm.2019.11.2.556.

Full text

Abstract:

The classicalWilks' statistic is mostly used to test hypothesesin the one-way multivariate analysis of variance (MANOVA), which is highly sensitive to the effects of outliers. The non-robustness of the test statistics based on normal theory has led many authors to examine various options.In this paper, we presented a robust version of the Wilks' statistic and constructed its approximate distribution.A comparison was made between the proposed statistics and some Wilks' statistics. The Monte Carlo studies are used to obtain performance assessment of test statistics in different data sets.Moreover, the results of the type I error rate and the power of test were considered as statistical tools to compare test statistics.The study reveals that, under normally distributed, the type I error rates for the classical and the proposedWilks' statistics are close to the true significance levels, and the power of the test statistics are so close. In addition, in the case of contaminated distribution, the proposed statistic is the best.

APA, Harvard, Vancouver, ISO, and other styles

16

Finch, Holmes. "Comparison of the Performance of Nonparametric and Parametric MANOVA Test Statistics when Assumptions Are Violated." Methodology 1, no. 1 (January 2005): 27–38. http://dx.doi.org/10.1027/1614-1881.1.1.27.

Full text

Abstract:

Abstract. Multivariate analysis of variance (MANOVA) is a useful tool for social scientists because it allows for the comparison of response-variable means across multiple groups. MANOVA requires that the observations are independent, the response variables are multivariate normally distributed, and the covariance matrix of the response variables is homogeneous across groups. When the assumptions of normality and homogeneous covariance matrices are not met, past research has shown that the type I error rate of the standard MANOVA test statistics can be inflated while their power can be attenuated. The current study compares the performance of a nonparametric alternative to one of the standard parametric test statistics when these two assumptions are not met. Results show that when the assumption of homogeneous covariance matrices is not met, the nonparametric approach has a lower type I error rate and higher power than the most robust parametric statistic. When the assumption of normality is untenable, the parametric statistic is robust, and slightly outperforms the nonparametric statistic in terms of type I error rate and power.

APA, Harvard, Vancouver, ISO, and other styles

17

Wright, Thomas A. "Work Satisfaction, Work Performance, And Organization Tenure Considered As Predictors Of Employee Turnover." Journal of Applied Business Research (JABR) 8, no. 1 (October 18, 2011): 83. http://dx.doi.org/10.19030/jabr.v8i1.6187.

Full text

Abstract:

A two-year field study provided that data on work satisfaction, work performance, and tenure with the organization as predictors of employee turnover. A one-way multivariate analysis of variance (MANOVA) revealed significant differences among the turnover groups in terms of the predictor variables considered simultaneously.

APA, Harvard, Vancouver, ISO, and other styles

18

Jia, Qing, and Ling Ling Mu. "Multivariate ANOVA of College Students’ Mental Health." Advanced Materials Research 403-408 (November 2011): 1428–31. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.1428.

Full text

Abstract:

This paper used multivariate analysis of variance (MANOVA) method to investigate whether changes in the independent variables such as gender, age, family location etc, have significant effects on the dependent variables. Date was collected from students in Hebei University of Technology, by using Chinese College Student Mental Health Scale (CCSMHS). Result shows that interaction from four factors such as interactions among gender, only-child, major and family location have significant influence on anxiety. Different family locations also affect some dimensions. Mental health of students grow in large cities is significantly better than those from small and medium-sized cities, small towns and rural.

APA, Harvard, Vancouver, ISO, and other styles

19

Taylor, Stacie E. "Multivariate Statistical Methods Applied to Sizing and Fit Testing." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 42, no. 10 (October 1998): 732–35. http://dx.doi.org/10.1177/154193129804201015.

Full text

Abstract:

The difficulty of developing accurate sizing charts for clothing or equipment is often underestimated. Typically, designers intend for the item to fit a specific range of people. However, accommodation ofthat range is not always achieved. Fit testing is an important part of the design process that allows collection of data where the item is actually tried on and used by people, instead of mannequins. Multivariate statistical procedures are the proper analytic techniques for investigating this fit test data. Multivariate methods are used because univariate tests can cause designers to correct a “problem” fit area, leading to possibly more problems, instead of identifying important variable combinations which may be the true fit problem. Some of these multivariate statistical methods include principal component analysis (PCA), discriminant analysis (DA), Euclidean distance matrix analysis (EDMA), multivariate analysis of variance (MANOVA), and multivariate regression analysis (MRA). This paper discusses why and when to use these techniques and illustrates some of them with case studies.

APA, Harvard, Vancouver, ISO, and other styles

20

Cejudo, Javier, Lidia Losada, and Roberto Feltrero. "Promoting Social and Emotional Learning and Subjective Well-Being: Impact of the “Aislados” Intervention Program in Adolescents." International Journal of Environmental Research and Public Health 17, no. 2 (January 17, 2020): 609. http://dx.doi.org/10.3390/ijerph17020609.

Full text

Abstract:

The aim of this study is to experimentally assess the effects of an intervention program through a video game called “Aislados” for the improvement of subjective well-being, mental health and trait emotional intelligence of a sample of adolescents (n = 187). We used well-established measures with appropriate psychometric properties. The study used a quasi-experimental design of pre-test/post-test repeated measurements with a control group. First, a multivariate analysis of variance (MANOVA) and then descriptive analyses and variance analyses (ANOVAs) were carried out by the adolescents randomly assigned to the experimental and control conditions. Then, a multivariate analysis of covariance (MANCOVA) was performed on the study’s variables as a whole. Descriptive and covariance analyses of the post-test scores were carried out (ANCOVAs post-test, co-varying pre-test scores), in order to demonstrate the impact of the program. The effect size was reckoned (Cohen’s d). The results confirm statistically-significant differences in: Health-Related Quality of life, positive affect and mental health. The study provides an effective intervention tool which has been experimentally validated. The overall results allow for emphasizing the importance of the implementation of programs aimed at encouraging social and emotional learning throughout adolescence as protective resources in fostering emotional and behavioral adjustment in adolescents.

APA, Harvard, Vancouver, ISO, and other styles

21

Zipprich, Hannah M., Sarah Mendorf, Thomas Lehmann, and Tino Prell. "Self-Reported Nonadherence to Medication Is Not Associated with Health-Related Quality of Life in Parkinson’s Disease." Brain Sciences 11, no. 2 (February 22, 2021): 273. http://dx.doi.org/10.3390/brainsci11020273.

Full text

Abstract:

Nonadherence is a growing issue in the treatment of Parkinson’s disease (PD). Many factors are known to influence nonadherence, but little is known about the influence of quality of life (QoL). Detailed clinical data were obtained from 164 patients with PD using the Parkinson’s Disease Questionnaire-39 (PDQ-39) and the German Stendal Adherence with Medication Score (SAMS). Descriptive statistics were used to identify reasons for nonadherence, and multivariable linear models were used to study associations between QoL and clinical parameters as well as nonadherence. Multivariate analysis of variance (MANOVA) and multivariate analysis of covariance (MANCOVA) were used to study the effect of the SAMS on PDQ domains and other medical covariates. The results showed that 10.4% (n = 17) of patients were fully adherent, 66.4% (n = 109) were moderately nonadherent, and 23.2% (n = 38) were nonadherent. Nonadherence was associated with male gender, lower Montreal Cognitive Assessment (MoCA) score, higher non-motor symptoms questionnaire (NMS-Quest) score, greater number of medications per day (an indicator of comorbidity), and higher Beck Depression Inventory (BDI) score. QoL was correlated with male gender, lower MoCA score, higher NMS-Quest score, more comorbidities, and higher BDI score, but was not correlated with nonadherence.

APA, Harvard, Vancouver, ISO, and other styles

22

GARBA, ABUBAKAR S., IBRAHIM KABIR, and MAHMOUD A. MAHMOUD. "ENTREPRENEURIAL ORIENTATION AND GROWTH POTENTIAL OF MICROENTERPRISES IN NORTHWEST, NIGERIA." Journal of Developmental Entrepreneurship 24, no. 02 (June 2019): 1950011. http://dx.doi.org/10.1142/s1084946719500110.

Full text

Abstract:

The purpose of this study is to explore the entrepreneurial orientation (EO) and growth potential of microenterprises. To test the research hypotheses, multiple regression and multivariate analysis of variance (MANOVA) were used. Multiple regression was used in explaining how well EO predicts microenterprises growth potential. MANOVA compares the groups and indicates whether the mean differences between the groups on the combination of dependent variables are likely to have occurred by chance. Our study contributes to the literature by exploring the growth potential of the existing microenterprises and explains its relationship to owners’ EO in both urban and rural informal sectors.

APA, Harvard, Vancouver, ISO, and other styles

23

Legendre, Pierre, and Olivier Gauthier. "Statistical methods for temporal and space–time analysis of community composition data." Proceedings of the Royal Society B: Biological Sciences 281, no. 1778 (March 7, 2014): 20132728. http://dx.doi.org/10.1098/rspb.2013.2728.

Full text

Abstract:

This review focuses on the analysis of temporal beta diversity, which is the variation in community composition along time in a study area. Temporal beta diversity is measured by the variance of the multivariate community composition time series and that variance can be partitioned using appropriate statistical methods. Some of these methods are classical, such as simple or canonical ordination, whereas others are recent, including the methods of temporal eigenfunction analysis developed for multiscale exploration (i.e. addressing several scales of variation) of univariate or multivariate response data, reviewed, to our knowledge for the first time in this review. These methods are illustrated with ecological data from 13 years of benthic surveys in Chesapeake Bay, USA. The following methods are applied to the Chesapeake data: distance-based Moran's eigenvector maps, asymmetric eigenvector maps, scalogram, variation partitioning, multivariate correlogram, multivariate regression tree, and two-way MANOVA to study temporal and space–time variability. Local (temporal) contributions to beta diversity (LCBD indices) are computed and analysed graphically and by regression against environmental variables, and the role of species in determining the LCBD values is analysed by correlation analysis. A tutorial detailing the analyses in the R language is provided in an appendix.

APA, Harvard, Vancouver, ISO, and other styles

24

Ismail, Khaizir Hj. "RELIGIOUS FACTOR COVARIATE ON SUBSTANCE ABUSE AMONG UNIVERSITY STUDENTS: A COMPARATIVEANALYSIS BETWEEN GENDER." Al-Fikra : Jurnal Ilmiah Keislaman 13, no. 2 (September 14, 2017): 129. http://dx.doi.org/10.24014/af.v13i2.4000.

Full text

Abstract:

This research examines the issue of substance abuse among first year students of National University of Malaysia. A total of 1000 students aged 18 until 23 years old comprising 271 male and 729 female students were involved in the study. To measure the level of tendency to abusedrugs, SASSI-2(Substance Abuse Subtle Screening), a psychology measuring instrument was used, containing 8 scales which are Family friends risk, Attitude, symptom, Obvious attributes, subtle attributes, Defensiveness, Supplemental addiction measure dan Correctional. Meanwhile, religiosity instrument is used for the purpose of measuring the practice of religious duties. From the independent sample t-test and Multivariate Analysis of Variance (MANOVA) conducted, differences in the pattern of substanceabuseamong male and female students were identified. The result of multivariate analisis covariate test (MANCOVA)showed that religiosity can be a determining factor in the tendency of students to be involved in substance abuse

APA, Harvard, Vancouver, ISO, and other styles

25

Wang, Min, Yingge Zhou, and George Z. Tan. "Multivariate analysis of variance (MANOVA) on the microstructure gradient of biomimetic nanofiber scaffolds fabricated by cone electrospinning." Journal of Manufacturing Processes 44 (August 2019): 55–61. http://dx.doi.org/10.1016/j.jmapro.2019.05.038.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Marini, Richard P. "Repeated Measures Analyses for Tree Fruit Experiments." HortScience 30, no. 4 (July 1995): 845C—845. http://dx.doi.org/10.21273/hortsci.30.4.845c.

Full text

Abstract:

Experiments with perennial crops often span several years, and a response variable may be measured on the same plant at several points in time. Such data are often analyzed as a split-plot design, taking time as the split-plot factor. In other cases, separate analyses are performed for each time. The mathematical conditions required for validity of these types of analyses might not hold because measurements repeated on the same plant are not independent. Annual trunk cross-sectional-area (TCSA) measurements from a peach tree training experiment will be used to compare two methods of analyses. The 6-year experiment was a factorial of two heading heights at planting (low vs. high) and two tree forms (central leader vs. open vase). Univariate analysis of variance (ANOVA) and a multivariate repeated measures analysis (MANOVA) was performed. Main effects and interactions were more often significant with ANOVA than with MANOVA. ANOVA performed each year inflated the probability of falsely rejecting a true null hypothesis (Type I error), and was not appropriate for this data set.

APA, Harvard, Vancouver, ISO, and other styles

27

Tengku Zainul Akmal, Tengku ‘Afiah Mardhiah, Abd Hafiz Qayyum Abd Talib, Siti Zura A. Jalil, and Siti Armiza Mohd Aris. "Stress classification based on human electromagnetic radiation analysis." Indonesian Journal of Electrical Engineering and Computer Science 22, no. 2 (May 1, 2021): 826. http://dx.doi.org/10.11591/ijeecs.v22.i2.pp826-834.

Full text

Abstract:

<p>Stress is a feeling of emotional or physical tension due to any events that makes one feel frustrated, angry or nervous. It a situation that trigger particular biological response when encounter a threat or challenge. This paper discussed stress classification based on human electromagnetic radiation (EMR). At first, the collected radiation frequency data is analyzed using multivariate analysis of variance (MANOVA) to identify the significance points for the classification. Then, the data is classified using locally weighted learning (LWL) algorithm. The results show stress classification using EMR based on third eye and throat chakra points obtained accuracy of more than 60%.</p>

APA, Harvard, Vancouver, ISO, and other styles

28

Dahlenburg, Robin, Orla J. Christensen, and James C. Moore. "The Effect of Group Dreamwork on Spiritual Well-Being." Journal of Psychology and Theology 24, no. 1 (March 1996): 54–61. http://dx.doi.org/10.1177/009164719602400106.

Full text

Abstract:

This exploratory study investigated the effect of Jungian-oriented group dreamwork on spiritual well-being and the related constructs of purpose in life and social interest. Participants were students at a religiously oriented liberal arts college. An experimental design with matching was employed. Multivariate analysis of variance (MANOVA) followed by univariate analysis of variance (ANOVA) were used. Power and effect size analyses were also employed. The authors are cautious in their interpretation due to small group sizes and the exploratory nature of the research. Nevertheless, the findings suggest some statistical support for the efficacy of a Jungian-oriented dream appreciation group model to enhance spiritual well-being, purpose in life, and social interest.

APA, Harvard, Vancouver, ISO, and other styles

29

Makhura, M. T., J. F. Kirsten, and M. M. Mathye. "THE RESPONSE OF NONFARM INCOME TO CONDITIONS IN AGRICULTURAL MARKETS: AN APPLICATION OF MULTIVARIATE ANALYSIS OF VARIANCE (MANOVA)." Agrekon 38, no. 4 (December 1999): 594–602. http://dx.doi.org/10.1080/03031853.1999.9524873.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Semente, Efigenia Madalena Mario, and Grafton Whyte. "Assessing Digital Literacy Among Namibian Millennials and the Impact on Consumer Decision-Making Styles." International Journal of Applied Management Sciences and Engineering 7, no. 1 (January 2020): 54–73. http://dx.doi.org/10.4018/ijamse.2020010103.

Full text

Abstract:

This study profiled the Namibian millennial e-literacy and investigated the impact of their e-literacy on their decision-making styles by administering Sproles and Kendal's Consumer Style Inventory (CSI) and an e-literacy questionnaire to a random sample of 505 participants from the three (3) major Universities in Namibia. Responses from the survey instrument were analysed using SPSS version 22. Factor Analysis (FA) through principal components analysis (PCA) was used to assess the underlying structure of the components and for assessing the reliability and validity through Cronbach's Alpha coefficients. In order to explore the relationships between consumer decision-making styles (Dependent Variable) and the Independent Variable of the study, Pearson correlation, analysis of variance (ANOVA), and multivariate analysis of variance (MANOVA), were used. The study concluded that the digital literacy of the Namibian Millennial consumer has a significant influence on their consumer decision-making styles. The findings are deemed important for marketing decision-making.

APA, Harvard, Vancouver, ISO, and other styles

31

Parker, William. "Engineering a Better IT Program Manager: A Comparative Study of IT PM Education and Training." Build it Better 28, no. 96 (April 1, 2021): 130–64. http://dx.doi.org/10.22594/dau.20-856.28.02.

Full text

Abstract:

This article examines the relationship between Department of Defense information technology (IT) program managers (PMs), their technical education, commercial project management certification, and project management success—also known as project efficiency—for IT PMs. The researcher asked, “To what extent does project management success in scope, schedule, and cost compare among PMs, specifically their technical education, commercial project management certification, and interaction effects between education type and commercial PM certification?” A gap in research exists on whether IT PMs with a technical education positively or negatively impact project outcomes. The IT PM community needs more studies on the extent to which commercial PM certifications affect project efficiency. The researcher used factorial multivariate analysis of variance (MANOVA) to compare education and PM certification to project efficiency. MANOVA provided for the examination of the interactive effects. A Mann-Whitney post hoc test confirmed the MANOVA results. Both tests concluded that no relationship exists between undergraduate technical degree, commercial PM certification, and project management success.

APA, Harvard, Vancouver, ISO, and other styles

32

Parker, William. "Engineering a Better IT Program Manager: A Comparative Study of IT PM Education and Training." Build it Better 28, no. 96 (April 1, 2021): 130–64. http://dx.doi.org/10.22594/10.22594/dau.20-856.28.02.

Full text

Abstract:

This article examines the relationship between Department of Defense information technology (IT) program managers (PMs), their technical education, commercial project management certification, and project management success—also known as project efficiency—for IT PMs. The researcher asked, “To what extent does project management success in scope, schedule, and cost compare among PMs, specifically their technical education, commercial project management certification, and interaction effects between education type and commercial PM certification?” A gap in research exists on whether IT PMs with a technical education positively or negatively impact project outcomes. The IT PM community needs more studies on the extent to which commercial PM certifications affect project efficiency. The researcher used factorial multivariate analysis of variance (MANOVA) to compare education and PM certification to project efficiency. MANOVA provided for the examination of the interactive effects. A Mann-Whitney post hoc test confirmed the MANOVA results. Both tests concluded that no relationship exists between undergraduate technical degree, commercial PM certification, and project management success.

APA, Harvard, Vancouver, ISO, and other styles

33

Jordan, Nicholas. "A Statistical Analysis for Area-of-Influence Experiments." Weed Technology 3, no. 1 (March 1989): 114–21. http://dx.doi.org/10.1017/s0890037x00031444.

Full text

Abstract:

Area-of-influence (AOI3) experiments measure the effect of a single weed on crop growth at intervals away from the weed plant. Effects of treatment variables, e.g., weed species or control measures, on the AOI of a single weed can be estimated. AOI experiments can be analyzed by regression of crop growth on distance from the weed plant, but this analysis violates an important regression assumption: independece of observations. Statistical dependence can occur among successive observations along the row because uncontrolled sources of variation are likely to act in similar ways on adjacent individuals. Multivariate analysis of variance (MANOVA) is a statistical technique that accounts for dependencies among crop growth measurements along the row. The technique tests three hypotheses: first, that different treatments cause weed AOI to differ in spatial distribution of competitive effects; second, that different treatments cause weed AOI to differ in size; and third, that the weed has an effect, i.e., crop growth near the weed differs from growth away from weed. MANOVA can be applied to most common experimental designs, e.g., randomized blocks or split plots, and can be implemented on various mainframe and microcomputer statistical packages.

APA, Harvard, Vancouver, ISO, and other styles

34

Muharam, Harjum, and Hanung Sakti. "Analisis Perbedaan Liquiditas Saham, Kinerja Keuangan, dan Return Saham di Sekitar Pengumuman Stock Split." Winners 9, no. 1 (March 31, 2008): 1. http://dx.doi.org/10.21512/tw.v9i1.727.

Full text

Abstract:

Using 13 samples from listed companies in Jakarta Stock Exchange within 2003-2005, this article analyze the difference of stock liquidity, financial performance, and stock return in the period of stock split announcement. Multivariate Analysis of Variance (MANOVA) shows that there is no difference in Trading Volume Activity (TVA) of stock and financial performance before, within, and after stock split announcement, but this study finds that the difference in stock return exist in the period of stock split announcement.

APA, Harvard, Vancouver, ISO, and other styles

35

Kurniawan, Yehezkiel Steven, Marcelinus Alfasisurya Setya Adhiwibawa, Edi Setiyono, Muhammad Riza Ghulam Fahmi, and Hendrik Oktendy Lintang. "Statistical Analysis for Evaluating Natural Yellow Coloring Agents from Peel of Local Fruits in Malang: Mangosteen, Honey Pineapple and Red Dragon Fruits." Indonesian Journal of Natural Pigments 1, no. 2 (September 3, 2019): 49. http://dx.doi.org/10.33479/ijnp.2019.01.2.49.

Full text

Abstract:

In the present work, a comprehensive statistical analysis was performed to evaluate the potential application of peel of local fruits from Malang, i.e. mangosteen, honey pineapple and red dragon fruits for natural yellow coloring agents. The yellow pigments from those fruit peels were extracted through a simple maceration method using distilled water, acetone and ethanol as the solvents. The CIE color space of the extracts was measured to obtain L*, a* and b* values. The obtained data were further analyzed using Principal Component Analysis (PCA), Multivariate Analysis of Variance (MANOVA) and Duncan Test to determine the most potent natural yellow coloring agent. All the extracts were appeared as mild to strong yellow liquid except for acetone extract for the peel of red dragon fruit extracts. From the CIE color space and PCA analysis, either ethanolic or acetone extracts of mangosteen appears as a strong yellow liquid and they are statistically not different. Interestingly, the MANOVA and Duncan test results are able to distinguish that the ethanolic extract of mangosteens’ peel as the best candidate for natural yellow coloring agents because of its lowest L* and also highest b* variable values.

APA, Harvard, Vancouver, ISO, and other styles

36

Saleh, H., S. I. Hasanah, and A. Subaidi. "Implementation of Multivariate Analysis of Variance (MANOVA) in experiments factorial two factors (Study: Growth and development of soybean germination)." Journal of Physics: Conference Series 1375 (November 2019): 012013. http://dx.doi.org/10.1088/1742-6596/1375/1/012013.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Bayaga, Anass, and Emmanuel O. Adu. "ICT evaluation models and performance of medium and small enterprises." Journal for Perspectives of Economic Political and Social Integration 20, no. 1-2 (January 1, 2014): 9–24. http://dx.doi.org/10.2478/v10241-012-0023-5.

Full text

Abstract:

Abstract Building on prior research related to (1) impact of information communication technology (ICT) and (2) operational risk management (ORM) in the context of medium and small enterprises (MSEs), the focus of this study was to investigate the relationship between (1) ICT operational risk management (ORM) and (2) performances of MSEs. To achieve the focus, the research investigated evaluating models for understanding the value of ICT ORM in MSEs. Multiple regression, Repeated-Measures Analysis of Variance (RM-ANOVA) and Repeated-Measures Multivariate Analysis of Variance (RM-MANOVA) were performed. The findings of the distribution revealed that only one variable made a significant percentage contribution to the level of ICT operation in MSEs, the Payback method (β = 0.410, p < .000). It may thus be inferred that the Payback method is the prominent variable, explaining the variation in level of evaluation models affecting ICT adoption within MSEs. Conclusively, in answering the two questions (1) degree of variability explained and (2) predictors, the results revealed that the variable contributed approximately 88.4% of the variations in evaluation models affecting ICT adoption within MSEs. The analysis of variance also revealed that the regression coefficients were real and did not occur by chance

APA, Harvard, Vancouver, ISO, and other styles

38

Broomhead, Paul. "Individual Expressive Performance: Its Relationship to Ensemble Achievement, Technical Achievement, and Musical Background." Journal of Research in Music Education 49, no. 1 (April 2001): 71–84. http://dx.doi.org/10.2307/3345811.

Full text

Abstract:

Participation in an expressive ensemble may be inappropriately presumed to produce expressive independence in individual ensemble members. This study is an examination of relationships between individual expressive achievement and (a) the expressive achievement of choral ensembles, (b) technical performance, and (c) musical background. Subjects included 11 high school choral ensembles and 82 individual ensemble members. A multivariate analysis of variance (MANOVA) revealed no significant relationships between individual and ensemble expressive achievement. Cor-relations showed technical and expressive performance to be strongly related. Significantly related musical background factors from a MANOVA included: (a) involvement in outside performing groups, (b) semesters of high school choir, (c) private vocal lessons, and (d) age of first private lessons. The study provided grounds for questioning the assumption that expressive ensembles yield expressive individuals.

APA, Harvard, Vancouver, ISO, and other styles

39

Salifu, Hussein, Gabriel Nyamekye, and Adam Issahaku. "Effect of Some Performance Indicators of Mathematics in the Nalerigu Senior High School." European Scientific Journal, ESJ 13, no. 3 (January 31, 2017): 429. http://dx.doi.org/10.19044/esj.2017.v13n3p429.

Full text

Abstract:

This study employed the multivariate analysis of variance (MANOVA) procedure to examine the influence of students’ sex, age and course of study (department) on mathematics performance in Nalerigu Senior High School of the East Mampurisi district in the Northern of Ghana. The results showed that male students perform better on the average for all the mathematics performance indicators (understanding, knowledge and perception). The MANOVA analysis revealed that students performance in mathematics do not differ across sex (gender) and age group. The results however showed that there was significant difference in performance of mathematics across course of study (department). However, the univariate analysis of variance (ANOVA) results revealed that there was no sex difference in understanding and knowledge of mathematics while significant differences exist in perception of mathematics among male and female students. Further, the study revealed a significant difference in students understanding and knowledge in mathematics and no bias in perception of mathematics among students age. The study therefore recommended that, the Ministry of Education, school managements and other stakeholders such as Non Governmental Organizations should sensitize students to discard beliefs and practices that prohibit effective participation of female students which result to poor performance in mathematics.

APA, Harvard, Vancouver, ISO, and other styles

40

Hampl, Filip. "A statistical analysis of the financial performance of organic and conventional farms in the Czech Republic with respect to their size." Agricultural Economics (Zemědělská ekonomika) 66, No. 1 (January 27, 2020): 1–9. http://dx.doi.org/10.17221/78/2019-agricecon.

Full text

Abstract:

Organic farming represents an environment-friendly alternative to conventional farming techniques. The aim of this paper is to assess whether there are differences in financial performance of the Czech agricultural enterprises as measured by financial analysis indicators in relation to the selected farming system (conventional vs. organic), the farm size (with respect to organic and conventional farms) and the interaction of these two factors in the period 2012–2016. A three-step approach including two-way multivariate analysis of variance (MANOVA), non-parametric two-way analysis of variance (ANOVA), specifically the Scheirer-Ray-Hare test, and post hoc Dunn’s test has been employed. The data sample comprises of 172 conventional and 136 organic farms, divided into three size categories. The effect of the selected farming system is manifested in return on sales, cost ratios, and asset turnover ratio. The farm size affects return on assets, cost ratios, liquidity and debt. The interaction of the factors has only been detected as regards return on assets.

APA, Harvard, Vancouver, ISO, and other styles

41

Rayoan, Florianus Martinus. "Pengaruh Nilai Ujian Nasional Matematika terhadap Indeks Prestasi Kumulatif, Mathematics Anxiety dan Self-Regulated Learning." FRAKTAL: JURNAL MATEMATIKA DAN PENDIDIKAN MATEMATIKA 1, no. 1 (November 18, 2020): 20–30. http://dx.doi.org/10.35508/fractal.v1i1.2755.

Full text

Abstract:

The purpose of this study is to determine the effect of the national mathematics exam scores on grade point average (GPA), mathematics anxiety, and self-regulated learning of the second-year students of Mathematics Education study program, Faculty of Teacher Training and Education at Nusa Cendana University in a multivariate manner. This study is a correlation research which was conducted at the Faculty of Teacher Training and Education of Nusa Cendana University. The population in this study were the mathematics education program students, Teacher Training and Education Faculty of Nusa Cendana University. The samples consist of 73 students. Data collection techniques used in this research are online questionnaires and documentation methods. Data analysis techniques used in this research are simple linear regression analysis and multivariate analysis of variance (MANOVA) and also hypothesis testing using the t-test and probability level. The result shows that (1) tvalue<ttable = 0,397<1.99394 so that there is no significant influence of the national mathematics exam scores on the students’ GPA, (2) tvalue<t table = -0.270<1.99394 so that there is no significant influence of national examination scores on mathematics anxiety, (3) tvalue<t table = 0,560<1.99394 so that there is no influence between the national math test scores on self-regulated learning, and (4) the MANOVA test shows that the GPA has a significance level of 0.693>0.05, while mathematics anxiety shows a significance level of 0.848>0.05, and self-regulated learning shows a significance level of 0.540>0.05. In conclusion, the national mathematics exam scores in a multivariate manner do not influence the GPA, mathematics anxiety, and self-regulated learning. Keywords: gpa, manova, mathematics anxiety, mathematics national examination scores, self-regulated learning, simple linear regression analysis

APA, Harvard, Vancouver, ISO, and other styles

42

Tang, Hui-Wen Vivian, Mu-Shang Yin, and Ru-Shuo Sheu. "The Relationship Between English Language Adoption and Global Digital Inequality." International Journal of Distance Education Technologies 9, no. 2 (April 2011): 13–22. http://dx.doi.org/10.4018/jdet.2011040102.

Full text

Abstract:

The aim of this study was to investigate whether differences in information and communication technology (ICT) readiness and access across countries were fundamentally related to the variable of English language adoption. A one-way multivariate analysis of variance (MANOVA) was utilized to comparatively examine the developments of ICT readiness and use among 149 countries categorized into four groups based on levels of English language adoption and economic development. The results of the comparative analysis showed that English language adoption is not a dominant factor in determining the global digital divide. The results suggest that much of the differences in ICT development across countries are attributable to levels of economic development. Limitations and implications for additional studies on specifying key factors widening the global technology gap are discussed.

APA, Harvard, Vancouver, ISO, and other styles

43

Gunsallus, Clifford T., Edward Nagy, Patrick G. Stennett, and William G. Flannelly. "Investigation of Variation in Fatigue Life Calculated Using Damage Fraction." Journal of the American Helicopter Society 35, no. 2 (May 1, 1990): 35–41. http://dx.doi.org/10.4050/jahs.35.35.

Full text

Abstract:

This paper identifies the leading causes for large variations in the calculated fatigue lives of the hypothetical pitch link experiment of the American Helicopter Society, conducted in cooperation with all U.S. manufacturers of military helicopters. Multivariate Analysis of Variance (MANOVA) is used to show that approximately 85 percent of the variations can be attributed to only two of the five analytical steps involved and the interactions between them. These steps are the method of cycle counting and the amount of S/N curve reduction.

APA, Harvard, Vancouver, ISO, and other styles

44

Keegan, John, Nicole Ditchman, Alo Dutta, Chung-Yi Chiu, Veronica Muller, Fong Chan, and Madan Kundu. "Social Cognitive and Planned Behavior Variables Associated With Stages of Change for Physical Activity in Spinal Cord Injury: A Multivariate Analysis." Rehabilitation Research, Policy, and Education 30, no. 1 (2016): 89–106. http://dx.doi.org/10.1891/2168-6653.30.1.89.

Full text

Abstract:

Purpose:To apply the constructs of social cognitive theory (SCT) and the theory of planned behavior (TPB) to understand the stages of change (SOC) for physical activities among individuals with a spinal cord injury (SCI).Method:Ex post facto design using multivariate analysis of variance (MANOVA). The participants were 144 individuals with SCI who completed an online SCT, TPB, and SOC for physical activities survey.Results:Participants in the preintender, intender, and actor groups differed significantly in functional disability, secondary health conditions, exercise self-efficacy, perceived benefits and barriers, intention, and physical health.Conclusion:Findings support the concept of stage-matching exercise and physical activity cognitive behavioral interventions for people with SCI.

APA, Harvard, Vancouver, ISO, and other styles

45

Gordon, Ellen L., Joseph R. Meno, Al C. Ngai, Arthur M. Lam, and H. Richard Winn. "Anesthetic-dependent pial arteriolar response to ethanol." Journal of Neurosurgery 83, no. 5 (November 1995): 875–77. http://dx.doi.org/10.3171/jns.1995.83.5.0875.

Full text

Abstract:

✓ Anesthetic agents are often administered in the presence of ethyl alcohol, both in research and in the clinical setting. The authors tested the hypothesis that anesthetic agents may affect cerebrovascular responses to ethanol. A closed cranial window preparation in the rat was used to compare the response of pial arterioles to topically applied ethanol (0.01% to 1% vol/vol) in the presence of α-chloralose/urethane (50 and 600 mg/kg, respectively) or halothane (0.5% to 1%) anesthesia. Heart rate, mean arterial blood pressure, and blood gas levels were maintained stable and within the physiological range throughout each experiment. Ethanol induced significant vasoconstriction in α-chloralose/urethane-anesthetized animals (multivariate analysis of variance (MANOVA), p = 0.039); conversely, ethanol induced significant vasodilation of the pial arterioles in halothane-anesthetized animals (MANOVA, p = 0.017). These responses were significantly different from one another (MANOVA, p = 0.001). Thus, the choice of anesthetic agent alters the cerebrovascular response to ethanol, and care should be taken to ascertain the influence of anesthesia in both research and clinical settings.

APA, Harvard, Vancouver, ISO, and other styles

46

Cheng, Canhong, and Ian L. Gordon. "The Richards function and quantitative analysis of germination and dormancy in meadowfoam (Limnanthes alba)." Seed Science Research 10, no. 3 (September 2000): 265–77. http://dx.doi.org/10.1017/s0960258500000295.

Full text

Abstract:

AbstractWhile investigating germinability in the new-crop meadowfoam (Limnanthes albaBenth.), it was desired to gain maximum information despite minimal seed material and prior knowledge. Extended use of the Richards function in a factorial germination experiment proved very powerful. The functions yielded estimates of four correlated coefficients, requiring multivariate analysis of variance (MANOVA) to provide validF-tests among germination profiles. These germination functions provided more rigorous discrimination among treatments than the univariate final germination level. The functions for the imbibants KNO3and GA4+7, in darkness at 10/5°C, were best, being characterized by high mean absolute germination rate, relatively short duration, and high final germination (upper asymptote). The results provided insights into possible dormancy mechanisms.

APA, Harvard, Vancouver, ISO, and other styles

47

Sanchez, Jennifer, Jessica Brooks, Sandra Fitzgerald, David M. Strand, Aneta Leczycki, John Blake, Fong Chan, and Gloria K. Lee. "Pain Coping Profiles in Workers’ Compensation Clients with Chronic Musculoskeletal Pain: A Cluster Analysis." Australian Journal of Rehabilitation Counselling 21, no. 2 (November 9, 2015): 108–22. http://dx.doi.org/10.1017/jrc.2015.13.

Full text

Abstract:

This study investigated pain coping profiles using theCoping Strategies Questionnaire-24(CSQ-24) in a sample of 171 workers’ compensation clients with chronic musculoskeletal pain from Canada. Cluster analysis identified three distinct coping profiles: mixed coping, catastrophising, and positive coping. Multivariate analysis of variance (MANOVA) results revealed that the positive coping group had lower levels of activity interference and depression as well as higher levels of quality of life than the mixed coping and catastrophising groups. Study findings indicate clients with chronic musculoskeletal pain can be categorised according to pain coping strategies, and pain coping strategies used are related to rehabilitation outcomes. The implications of these pain coping profiles for rehabilitation counselling practice are discussed.

APA, Harvard, Vancouver, ISO, and other styles

48

MOURAD, Mahmoud. "Management Governance Analysis in the Arab World: MANOVA Approach." Journal of Public Administration and Governance 8, no. 4 (October 12, 2018): 1. http://dx.doi.org/10.5296/jpag.v8i4.13766.

Full text

Abstract:

This paper studies 17 Arab States, human development index (HDI), and 11 time series which represent the basic indicators of governance. These variables are freedom of trade, freedom of property, freedom of economy, freedom of finance, freedom of corruption, freedom of fiscal, freedom of money, freedom of enterprise, freedom of investment, freedom of work, and freedom of government spending. A multivariate variance analysis (MANOVA) was used to test whether a differential effect exists between the Arab countries, by first focusing on the types of regimes (monarchical or republican), and second on the group of Arab countries belonging to the GCC and the rest of Arab states. Our statistical results indicate a differential effect by the type of political system on the following governance variables: corruption, freedom of trade, freedom of economy and freedom of property. Statistically speaking, in republican regimes, low values associated with the degree of freedom of corruption show that corruption is high and that it severely limits the freedom of individuals. Similarly, freedom of trade and freedom of economy in these regimes have more legislative or regulatory limitations, and little economic freedom compared to monarchies. Finally, concerning the degree of freedom of property, there are more expropriations and a higher level of corruption in the process of buying and selling goods. The inspection of the MANOVA results clearly indicates that the GCC countries are distinguished from other Arab countries based on six governance variables and the HDI indicator. Indeed, in the Arab countries of the GCC, we identify weaker corruption levels, a freedom of trade with less legislative or regulatory limits, a greater economic freedom, a fiscal freedom close to 100 (this means that the burden of paying taxes is lower and consequently individuals and companies have little tax liability), a fluctuated controlled monetary freedom, the human development index (HDI) is significantly higher, and finally a freedom of property with less expropriations and a lower level of corruption in the sale or purchase of goods. The high values of the HDI indicator in the GCC countries are partly explained by the indicator of gross domestic product per capita (IGDP) which is very high in those countries.

APA, Harvard, Vancouver, ISO, and other styles

49

Meric, Ilhan, Larry Prober, Joe Kim, and Gulser Meric. "A Comparison of the Financial Characteristics of U.S., U.K., German, and French Manufacturing Firms." Journal of International Business and Economy 6, no. 1 (December 1, 2005): 67–80. http://dx.doi.org/10.51240/jibe.2005.1.4.

Full text

Abstract:

This article compares the financial characteristics of U.S. firms with the financial characteristics of U.K., German, and French firms in four major manufacturing industries by using the MANOVA (Multivariate Analysis of Variance) method with data for the January 1997-December 2001 period. The findings indicate that the financial characteristics of U.S. and European manufacturing firms are significantly different. The most significant differences are between U.S. firms and German firms. U.S. firms are generally more profitable and they have lower return-on-equity volatility risk in comparison with European firms.

APA, Harvard, Vancouver, ISO, and other styles

50

Filho, A. R. Silva, A. M. Abrão, A. P. Paiva, and J. R. Ferreira. "Multivariate Optimization of the Cutting Parameters when Turning Slender Components." International Journal of Manufacturing, Materials, and Mechanical Engineering 2, no. 4 (October 2012): 12–31. http://dx.doi.org/10.4018/ijmmme.2012100102.

Full text

Abstract:

The geometric features of the work piece and the cutting parameters considerably affect the quality of a finished part subjected to any machining operation owing to the imposed elastic and plastic deformations, especially when slender components are produced. This work is focused on the influence of the work piece slenderness ratio and cutting parameters on the quality of the machined part, assessed in terms of surface roughness and both geometric (run-out) and dimensional (diameter) deviations. Turning tests with coated tungsten carbide tools were performed using AISI 1045 medium carbon steel as work material. Differently from the published literature, a statistical analysis based on the multivariate one-way analysis of variance (MANOVA) was applied to the data obtained using a Box-Behnken experimental design. In order to identify the combination of parameters (slenderness ratio, cutting speed, feed rate and depth of cut) levels which simultaneously optimize the responses of interest (surface roughness, run-out and diameter deviation), a multivariate optimization method based on principal component analysis (PCA) and generalized reduced gradient (GRG) was employed.

APA, Harvard, Vancouver, ISO, and other styles

Journal articles on the topic 'Multivariate analysis of variance MANOVA'

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles