Analyzing Multivariate Data

By T. I. Katsaounis. Technometrics, 2004

814 citations recorded by the source corpus.

Subfields: Food Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/202fd390cd3ccbeb5c9a5f1e04b9fd7706260ef2

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Citations in the corpus

Attachment Stability From Infancy to Adulthood: Meta-Analysis and Dynamic Modeling of Developmental Mechanisms (2002, background): “The residual for a latent variable was calculated iteratively as 1 minus the sum of the weighted variance–covariance matrix of latent variables affecting that variable (see Cliff, 1987, on the variance of a weighted composite).”
Locally Linear Regression for Pose-Invariant Face Recognition (2007, methodology): “Theoretically, the appropriate mapping can be sought by the following optimization procedure: (10) Generally, ; thus, the linear mapping can be estimated by the following linear regression procedure (least-square solution) [27] (11) where (12) is the pseudo inverse of .”
Identifying critical issues in enterprise resource planning (ERP) implementation (2005, methodology): “The main reason for using the exploratory factor analysis was to reduce the dimensionality of the attribute data and uncover a smaller number of underlying factors that account for a major amount of the variance in the original measures [39].”
Bank Regulation, the Quality of Institutions, and Banking Risk in Emerging and Developing Countries: An Empirical Analysis (2014, methodology): “Following Lattin et al. (2003), Wansbeek and Meijer (2000) and Stock and Watson (2002) the factor analysis model can be written as:”
The System Usability Scale: Past, Present, and Future (2018, methodology): “There are several methods for estimating the number of factors in a set of scores when conducting exploratory analyses, including discontinuity and parallel analysis (Cliff, 1987; Coovert & McNelis, 1988; O ’ Connor, 2000).”
Using an Asset Index to Assess Trends in Poverty in Seven Sub-Saharan African Countries (2008, methodology): “For a detailed discussion of principal component analysis (PCA), consult Green (1978).”
Outcomes of Social Work Education (2002, methodology): “Because of the large number of comparisons (n = 28) in each of these tables, a Bonferroni adjustment (Cliff, 1987) was used.”
Mining incomplete survey data through classification (2010, neutral): “[11]).”
Influence of future time perspective, financial knowledge, and financial risk tolerance on retirement saving behaviors (2005, background): “By convention, any time significant interactions occur among predictors at different hierarchical levels (as is the case in this analysis), decomposition occurs at the level of the highest-order effect (Cliff, 1987).”
The Factor Structure of the System Usability Scale (2009, background): “There is a rule-of-thumb used by some practitioners and computer programs to set the appropriate number of factors to the number of eigenvalues greater than 1, but this rule-of-thumb has been discredited because it is often the case that the appropriate number of factors is more than the number of e”
Developing Theory Through Simulation Methods (2007, neutral): “Simulation is particularly useful for developing theory in the “sweet spot” between theory creating using such methods as multiple case inductive research (Eisenhardt, 1989) and formal modeling (Freese, 1980) and theory testing using empirical evidence and multivariate statistical techniques (Lattin”
Analysing, pursuing and networking: Towards a validated three-factor framework for entrepreneurial competence from a small firm perspective (2011, background): “Since testing an identified model requires a new set of data, a holdout sample from the original study was taken randomly (Lattin et al., 2003).”
Commonality Analysis: Partitioning Variance to Facilitate Better Understanding of Data (2006, background): “These dynamics are why Cliff (1987, p. 185) noted that &dquo;most computer programs for [stepwise] multiple regression are positively satanic in their temptations toward Type I errors.&dquo; Not the best predictor subset of a given size. Many researchers believe that if they have 30 predictors, and ”
Small Firm Bankruptcy (2006, background): “By comparing loadings for each question we are able to untangle associations among the questions and condense them into a small number of components that can then be used for interpretation or for further analysis (see Green 1978).”
Psychometric Evaluation of the PSSUQ Using Data from Five Years of Usability Studies (2002, methodology): “A weakness of factor analysis is that there are no strong methods for assessing the statistical significance of an estimated principal factor structure (Cliff, 1993), making replication of results with a different sample (as in this study) especially valuable.”