Encyclopedia of Statistics in Behavioral Science
By M. Guha. 2006
1,052 citations recorded by the source corpus.
Subfields: Developmental and Educational Psychology, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/d616ffdc4320f958284859be9839eb3fe2ec94a3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Developmental and Educational Psychology
- Ahmad Al-Khasawneh
- Jacob Eisenstein
- Caroline Ramirez
- Eric Gilbert
- Mohammed Amin Almaiah
- Sunil Mithas
- Timothy L. Keiningham
- Susan N. Perkins
In Statistics and Probability
- Krista Gile
- Ahmad Al-Khasawneh
- Xiaodong He
- Jacob Eisenstein
- Caroline Ramirez
- Eric Gilbert
- Jan de Leeuw
- Mohammed Amin Almaiah
Citations in the corpus
- A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems (2015, background): “Canonical Correlation Analysis (CCA) : CCA [29] is a traditional multi-view learning technique aims at finding two pairs of linear transformations, one for each input view, such that the correlation between transformed data is maximized.”
- Summary Report of the AAPOR Task Force on Non-probability Sampling (2013, background): “Rosenbaum and Rubin (1983) argue that matching on propensity score alone does the same in terms of removing selection bias as matching on the full set of covariates.”
- The minimum spanning tree: An unbiased method for brain network analysis (2015, neutral): “…of the use of anMST is that these methodological issues about the uniqueness, stability of the MST solution and test–retest reliability have been thoroughly studied in basic mathematical papers (Cheriton and Tarjan, 1976; Graham and Hell, 1985; Michailidis, 2005; Moret and Shapiro, 1993).”
- Image Noise Level Estimation by Principal Component Analysis (2013, background): “Then, ˜ v T Y , 1 Y , . . . , ˜ v T Y , M Y represent the sample principal components of Y [38], which have the property where s 2 denotes the sample variance.”
- You Can't Stay Here (2017, methodology): “Finally, we perform Mann-Whitney U tests [13] to measure the goodness of fit, and ensure that we obtain a valid match.”
- Latent Profile Analysis (2017, methodology): “ML estimation attempts different model parameter estimates using the sample data and choose the estimates associated with the highest likelihood of coming from that sample (see Enders, 2005 or McLachlan & Peel, 2000, for an explanation of ML).”
- Exploring the critical challenges and factors influencing the E-learning system usage during COVID-19 pandemic (2020, methodology): “With regard to data, they should be adequate and provide a rich description of the phenomenon (Howell 2003).”
- Isotone Optimization in R: Pool-Adjacent-Violators Algorithm (PAVA) and Active Set Methods (2009, background): “The corresponding umbrella term for both cases is monotonic regression (for a compact description, see de Leeuw 2005).”
- STUDENTS’ PERCEPTIONS OF STATISTICS: AN EXPLORATION OF ATTITUDES, CONCEPTUALIZATIONS, AND CONTENT KNOWLEDGE OF STATISTICS (2012, methodology): “This process was redundant, iterative, and recursive, with the researchers often coding the same data several times (Merriam, 1998; Patton, 2005; Rossman & Rallis, 2003).”
- Final Collapse of the Neyman-Pearson Decision Theoretic Framework and Rise of the neoFisherian (2009, background): “Synthesizing the cogent arguments of a few earlier writers on the subject (Kimmel 1957, Goldfried 1959, Pillemer 1991, Harris 2005), we concluded that one-tailed tests are rarely appropriate in basic or applied research in any discipline.”