MULTIVARIATE ANALYSIS OF VARIANCE

By M. Tatsuoka. Applied Univariate, Bivariate, and Multivariate Statistics, 2014

1,014 citations recorded by the source corpus.

Subfields: Food Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/168e4c01913264bd256fdd7132b1537580d364f1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Food Science

1. Linda Reichwein Zientek
2. Pimtong Tavitiyaman
3. R. Dieser
4. Jc Ko de Ruyter
5. Robert E. Hinson
6. B. Thompson
7. Stephen Houghton
8. J. Bower

In Statistics and Probability

1. Linda Reichwein Zientek
2. J. Graham
3. B. Thompson
4. Alissa R. Sherry
5. Pimtong Tavitiyaman
6. R. Dieser
7. Jc Ko de Ruyter
8. Robert E. Hinson

Citations in the corpus

• Service innovation and customer satisfaction: the role of customer value creation (2017, methodology): “Drawing on the view of Pallant (2011), three main steps were followed in carrying out the EFA: “(1) Assessment of the suitability of the data for factor analysis, (2) Factor extraction, and (3) Factor rotation and interpretation.””
• The General Linear Model as Structural Equation Modeling (2008, methodology): “This conceptualization of the MANOVA as a structural model differs from that offered by Bray and Maxwell (1985), who depicted MANOVA as a combination of multiple overlapping ANOVAs.”
• Profiles of social relations among older adults: a cross-cultural approach (2008, background): “4 Wilks’ lambda (L) is a multivariate test statistic that expresses the proportion of unexplained variance in the dependent measures (Weinfurt 1995).”
• A framework for evaluating image segmentation algorithms (2006, background): “(c) Do a multivariate analysis of variance [ 29 ] considering all 12 (or 9) parameters to determine if there is a statistically significant difference in performance between methods M1 and M2.”
• Dynamic nature of trust in virtual teams (2002, methodology): “The repeated measure ANOVA allows us to see whether the changing patterns of CBT and ABT over time follow linear or quadratic patterns (Bray & Maxwell, 1985).”
• The Relationship of Participation in Sports and Physical Activity to Body Objectification, Instrumentality, and Locus of Control Among Young Women (2001, methodology): “Multivariate effects were evaluated using Pillai’s trace statistic, judged by Olson (1976) to be the most serviceable of the four major multivariate test statistics (see Haase & Ellis, 1987, for an excellent review of this issue, as well as other issues in the use of MANOVA).”
• THE ROLE OF CORPORATE IMAGE AND EXTENSION SIMILARITY IN SERVICE BRAND EXTENSIONS (2000, methodology): “These e€ects are supported by omnibus ANOVA tests for the individual dependent measures (Bray and Maxwell, 1993; Umesh et al., 1996) in Table 3.”
• Corollaries of the collective: The influence of organizational culture and memory development on perceived decision-making context (2001, methodology): “As the study design was nonorthogonal, we followed the recommendation of Bochner and Fitzpatrick (1980) and used the regression method for MANOVA with unequal cell sizes.”
• Sales Manager Behavior Control Strategy and its Consequences: The Impact of Manager Gender Differences (2003, neutral): “Use of MANOVA tests the null hypothesis that the vector of means for each group is equal, so if the null hypothesis is rejected and significant differences are found between groups, then univariate analysis can be interpreted without undue concern over elevated Type 1 errors (Bray and Maxwell 1985).”
• Performing Multivariate Group Comparisons Following a Statistically Significant MANOVA (2003, neutral): “As noted by Bray and Maxwell (1985), a MANOVA significance test with p outcome variables can be alternatively conceptualized as a univariate test of mean differences on a new variate, V.”
• Examining the effectiveness of explicit instruction of vocabulary learning strategies with Japanese EFL university students (2009, methodology): “To use MANOVA, the following three conditions must be satisfied (Weinfurt, 1995, p. 253): (1) multivariate normality, (2) homogeneity of the covariance matrices, and (3) independence of observations.”
• THE EFFECTS OF HANDS-ON ACTIVITIES INCORPORATING A COOPERATIVE LEARNING APPROACH ON EIGHT GRADE STUDENTS’ SCIENCE PROCESS SKILLS AND ATTITUDES TOWARD SCIENCE (2006, background): “According to Weinfurt (1995), a covariate should be used only if there is a statistically significant linear relationship between the covariate and dependent variables.”
• Impact of the Perceived Image of Celebrity Endorsers on Tourists’ Intentions to Visit (2014, background): “Such an occurrence is extremely unlikely due to sampling error alone (Bray and Maxwell 1985).”
• How Tourists Perceive the Usefulness of Technology Adoption in Hotels: Interaction Effect of Past Experience and Education Level (2020, methodology): “MANOVA is a suitable technique used for investigating autocorrelation between the two dependent variables; such technique can control the inflation of Type I error (Brida et al., 2014; Hasse & Ellis, 1987).”