Publications by Kareena del Rosario
Introduction to Lavaan: Mediation and SEM
This is a short introduction to using Lavaan for mediation and SEM models. I’m using a very basic SEM model with a latent variable and single outcome. pkgs <- c("tidyverse", "dplyr", "haven", "foreign", "lme4", "nlme", "lsr", "emmeans", "afex", "kni...
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How Interactions Change the Interpretation of Main Effects
Interpreting main effects with and without an interaction term Without an interaction term \[conflict = b_0 + b_1sleep_1 + b_2stress_2 + \epsilon\] \(b_0\): is the intercept (predicted outcome) when the predictors are 0. \(b_1\): represents the slope (main effect) of sleep. \(b_2\): represents the slope (main effect) of stress. Here, only the inte...
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Robust Regression, Moderation, and Mediation
To see a summary of the regression assumptions and more ways run test diagnostics, see our previous lab pkgs <- c("tidyverse", "dplyr", "haven", "foreign", "lme4", "nlme", "lsr", "emmeans", "afex", "knitr", "kableExtra", "car", ...
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Introduction to Linear Regression
pkgs <- c("tidyverse", "dplyr", "haven", "foreign", "lme4", "plyr", "nlme", "lsr", "emmeans", "afex", "knitr", "kableExtra", "QuantPsyc", "car", "readxl", "pastecs") packages <- rownames(installed.packages()) p_to_install <- pkgs[!(pkgs %in% packages)] if(length(p_to_install) > 0){ install.packages(p_to_install) } lapply(pkgs, library, charact...
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Using contrasts to understand ANOVA - SOLVED
In this dataset, participants are assigned to 1 of 3 conditions: Control condition (recalled a neutral event) Sad actor (recalled a sad event) Sad partner (recalled a neutral event but was paired with the sad actor) These data are dyadic, but for the sake of this tutorial, we’re going to ignore that and treat participants as independent. Load ...
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Centering, contrast coding, and the two-level crossed model
To demonstrate centering, contrast coding, and two-level crossed models, we’re going to use a few different datasets. Continuous predictors: centering Let’s say you’re interested in the effect of perceived social support on anxiety. Anxiety can vary both between- and within-person. The question is, are you interested in the within-person eff...
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Using contrasts to understand ANOVA
In this dataset, participants are assigned to 1 of 3 conditions: Control condition (recalled a neutral event) Sad actor (recalled a sad event) Sad partner (recalled a neutral event but was paired with the sad actor) These data are dyadic, but for the sake of this tutorial, we’re going to ignore that and treat participants as independent. Load ...
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Using contrasts to understand ANOVA
In this dataset, participants are assigned to 1 of 3 conditions: Control condition (recalled a neutral event) Sad actor (recalled a sad event) Sad partner (recalled a neutral event but was paired with the sad actor) These data are dyadic, but for the sake of this tutorial, we’re going to ignore that and treat participants as independent. Load ...
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Introduction to T-tests in R
Prep the data # read in data data <- read_xlsx("/Users/kareenadelrosario/Desktop/local r code/regression_code/data_ttest.xlsx") head(data) ## # A tibble: 6 × 102 ## `Response ID` GENDER AGE PARTY TWITTER TRUST RU1 RU2 RU3 RU4 RU5 ## <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> ## 1 R_0cj5dsJg2wf...
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Chi-Squares in R
Knowledge check! What type of test would you use for each of the following scenarios? They say that there is a 50/50 chance of getting heads (or tails) when you flip a coin. You want to put it to the test by flipping a coin 100 times to see if it matches those chances. What test would you use? The meditation app, Headspace, has released a new vers...
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