Reading and understanding MORE multivariate statistics.
By L. Grimm, P. Yarnold. 2000
1,173 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/1ddb5196e10fdd9687b6c94e4fb99b1f79e6ed40
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In Statistics and Probability
Citations in the corpus
- Perfectionism, Depression, Loneliness, and Life Satisfaction (2009, background): “Large increases indicated that the two clusters joined at that step resulted in a joint cluster that was markedly less homogeneous (Hair & Black, 2000).”
- Assessment for student improvement: understanding Hong Kong teachers’ conceptions and practices of assessment (2009, background): “Confirmatory factor analysis (CFA) tests the degree to which data fit a model in which theoretically determined paths between variables are specified and in which all other paths are set to zero (Klem 2000; Thompson 2000).”
- Using Modification Indexes to Detect Turning Points in Longitudinal Data: A Monte Carlo Study (2010, methodology): “In general, authors have discouraged specification searches using MIs or Wald tests in SEM without replication (e.g., Thompson, 2000).”
- Serious Leisure, Life Satisfaction, and Health of Older Adults (2013, methodology): “In a study of advanced swimmers from Canada and the United States, the participants reported a sense of social connections with other participants (Hastings et al.). Hastings and colleagues demonstrated that serious leisure may serve as a vehicle by which to establish new social networks as well as ”
- Effects of Sample Size on the Distribution of Selected Fit Indices: A Graphical Approach (2001, background): “Structural equation modeling (SEM) is a comprehensive statistical approach used by researchers in education, psychology, sociology, econometrics, and other social sciences (Thompson, 2000).”
- High School‐Aged Youths' Attitudes Toward their Peers with Disabilities: the role of school and student interpersonal Factors (2004, methodology): “Multisample analysis ®ts two or more groups simultaneously, allowing for any degree of difference between the two groups to be examined (Klem, 2000).”
- Using Group-Based Trajectory and Growth Mixture Modeling to Identify Classes of Change Trajectories (2016, background): “In other words, the degree of variability from the group trajectory is identified and predictors of that variability can be included in the model (Duncan et al., 2009; Weinfurt, 2000).”