Applied Multivariate Data Analysis
By Eric R. Ziegel. Technometrics, 2002
1,166 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/8969e4f93d50098b09f5bc21b42d30838883b245
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Citations in the corpus
- Path Analysis: An Introduction and Analysis of a Decade of Research (2004, background): ““However convincing, respectable and reasonable a path diagram . . . may appear, any causal inferences extracted are rarely more than a form of statistical fantasy” (Everitt & Dunn, 1991).”
- Analysing behavioural differences of farm households: An example of income diversification strategies based on European farm survey data (2017, methodology): “In order to select the best factor solution, i.e. the most appropriate number of factors, the factors were rotated using orthogonal varimax rotation (Everitt and Dunn, 2001, p.278f.), which led in convincing cases to a simple structure.”
- Crossing spatial analyses and livestock economics to understand deforestation processes in the Brazilian Amazon: the case of Sao Felix do Xingu in South Para (2002, methodology): “Multinomial logit models are used for the case of dependent variable with more than two categories (Jobson, 1992).”
- Perceived complexity of western and African folk melodies by western and African listeners (2006, background): “PCA finds new variables, which are linear combinations of those observed, so that they have maximum variation and are uncorrelated (Everitt and Dunn, 2001).”
- Signature information and individual recognition in the isolation calls of Amazonian manatees, Trichechus inunguis (Mammalia: Sirenia) (2002, methodology): “We performed two separate multiway analyses of variance (MANOVAs) using the seven measured variables (Table 3) to test for differences in the vocal pattern between sexes and between age classes (Everitt & Dunn 1992).”
- Do Workgroup Faultlines Help or Hurt? A Moderated Model of Faultlines, Team Identification, and Group Performance (2009, methodology): “We adapted our faultline measures from the multivariate statistical clustering analysis literature (e.g., Jobson 1992, Morrison 1967, Sharma 1996), which provides statistics for estimating how well the variability within the group can be explained by the presence of different clusters within the…”
- Intergroup Contact, Forgiveness, and Experience of “The Troubles” in Northern Ireland (2006, methodology): “Path analyses (see Everitt & Dunn, 1991), rather than structural equation models, were used because most of the measured variables were assessed using only single items.”
- Using between‐model comparisons to fine‐tune linear models of species ranges (2000, methodology): “Discriminant analysis may be linear, quadratic, or logistic, depending on the form of the discriminant function that is used (Everitt & Dunn, 1996).”
- Who is Interested in Aboriginal Tourism in the Northern Territory, Australia? A Cluster Analysis (2000, background): “While a number of statistical measures exist to support the validity of the discerned groups, reification of the data remains a process involving value judgements on the part of the researcher (Everitt & Dunn, 1991;Ryan, 1995).”
- Guidelines for the design and statistical analysis of experiments using laboratory animals. (2002, neutral): “A multivariate statistical analysis such as principal components analysis could be considered in such cases (Everitt and Dunn 2001).”
- How can Habitat Selection Affect the use of a Wetland Complex by Waterbirds? (2006, methodology): “The statistical methods can be consulted in Jobson (1992) and Sokal and Rohlf (1994).”
- On MAPE-R as a measure of cross-sectional estimation and forecast accuracy (2007, neutral): “Values of λ > 1 eliminate negative skewness, while values of λ , 0 λ 1, eliminate positive skewness [38, p. 68].”
- The relationship between coping, social support, functional disability and depression in the elderly (2006, result): “While the path models assessed in structural equation modeling reflect hypotheses about causation among constructs, the results can be correlational (Everitt & Dunn, 1991).”
- Co-constructing Student Involvement: An Examination of Teacher Confirmation and Student-to-Student Connectedness in the College Classroom (2010, methodology): “A path analysis is an extension of the regression model, and offers a path model relating independent, intermediary, and dependent variables (Everitt & Dunn, 1991).”
- Automated Marketing Research Using Online Customer Reviews (2011, positive): “Then, to turn this into a visual “map,” we use CA, a technique for analyzing two-way, two-mode frequency data (Everitt and Dunn 2001), making it more appropriate for this task than the continuously scaled multidimensional scaling procedures commonly used for market structure maps.”
- Communalities and Distinctions in the Measurement of Organizational Performance and Effectiveness Across For-Profit and Nonprofit Sectors (2006, methodology): “…no single method can be claimed superior for all types of data (Milligan, 1980), unequal size samples make the group average linkage more suitable (Everitt & Dunn, 2001), and as this linkage method uses information of all cases it is usually preferred to the single and complete linkage methods…”
- Empirical Determinants of Good Institutions: Do We Know Anything? (2000, methodology): “See Jobson (1992) for more on this issue.”