Multilevel Modeling in the Presence of Outliers: A Comparison of Robust Estimation Methods
Multilevel models (MLMs) have proven themselves to be very useful in social science research, as data from a variety of sources is sampled such that individuals at level-1 are nested within clusters such as schools, hospitals, counseling centers, and business entities at level-2. MLMs using restricted maximum likelihood estimation (REML) provide researchers with accurate estimates of parameters and standard errors at all levels of the data when the assumption of [...]
Affective Priming in a Lexical Decision Task: Is There an Effect of Words´Concreteness?
Affective priming occurs when responses to a target are facilitated when [...]
Proportion Congruent Effects in the Absence of Sequential Congruent Effects
A debated question in the cognitive control field is whether cognitive [...]
Landmark vs. Geometry Learning: Explaining Female rats´ selective Preference for a Landmark
Rats were trained in a triangular-shaped pool to find a [...]
The Use of Sounds as Stimuli in Human Electroderman Classical Conditioning
Tradicionalmente, en el estudio del condicionamiento clásico humano se emplearon [...]
