The SAGE Handbook of Quantitative Methods in Psychology

By R. Millsap, Albert Maydeu-Olivares. 2009

527 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/637753bd821a825269aac9f29f8b2c65d1a7da5f

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In Computer Networks and Communications

Citations in the corpus

Critical Consciousness and Vocational Development Among Latina/o High School Youth (2016, background): “The inclusion of additional predictors in the imputation model can reduce bias and make the MAR assumption more plausible (Allison, 2009; He, Zaslavsky, Landrum, Harrington, & Catalano, 2010; Rubin, 1996).”
Dirty Data: The Effects of Screening Respondents Who Provide Low-Quality Data in Survey Research (2017, methodology): “The use of pairwise deletion relies on the assumption of data missing completely at random (Allison, 2009) and is inconsistent with the notion of construct-irrelevant variance as understood in LQD.”
Adverse childhood experiences among children of incarcerated parents (2018, unknown): “The imputation equation comprises all variables included in the analysis, including the dependent variables, and I drop cases missing dependent variables after imputation (Allison, 2009; Landerman, Land, & Pieper, 1997; Schafer & Graham, 2002; von Hippel, 2007).”
Academic Content, Student Learning, and the Persistence of Preschool Effects (2014, methodology): “We used a host of auxiliary variables describing children’s behaviors and home environments in our imputation models (Allison, 2009) including the dependent variables (von Hippel, 2007).”
Analyzing the Longitudinal K-12 Grading Histories of Entire Cohorts of Students: Grades, Data Driven Decision Making, Dropping out and Hierarchical Cluster Analysis. (2010, methodology): “While there are many types of unstructured cluster analyses (Anderberg, 1973; Hubert et al., 2009; Lorr, 1983; Romesburg, 1984; Sneath & Sokal, 1973), this study focuses on hierarchical cluster analysis due to the procedure’s ability to discover a taxonomic structure within a dataset efficiently…”
ASSESSING SECOND-LANGUAGE ORAL PROFICIENCY FOR RESEARCH (2016, unknown): “See Ackerman, Gierl, and Walker ( 2003 ) and Thissen and Steinberg ( 2009 ), for examples.”
Item Response Theory—A Statistical Framework for Educational and Psychological Measurement (2021, unknown): “We also point out that, besides these two regimes, IRT models can be understood from a full Bayesian perspective or an “item sampling” rationale; see Thissen and Steinberg (2009) for further discussions.”
Relational Competence-Based Knowledge Transfer Within Intrafamily Succession (2015, background): “…or more independent variables but also for the manipulation of independent variables and the careful measurement of one or more dependent variables (Kirk, 2009), thus leading to the conclusion that “randomized experiments are the natural approach to establishing causeand-effect relationships”…”
Local Dependence Diagnostics in IRT Modeling of Binary Data (2013, background): “Item response theory (IRT) refers to a set of models for discrete data that are widely used in educational, psychological, and medical assessment applications (Thissen & Steinberg, 2009).”
Nested by design: model fitting and interpretation in a mixed model era (2013, methodology): “We will call a fixed factor whose levels vary among groups (of a random effect) a group-level predictor (Gelman & Hill 2007; Kirk 2009; sometimes called ‘outer factor’; see Pinheiro & Bates 2000).”