reference-keys.txt

fig:unnamed-chunk-1
syllabus
introduction
quantitative-methods
statistics
descriptive-and-inferential-statistics
frequentist-and-bayesian-approach
statistics-and-data-science-machine-learning-artificial-intelligence
software
jamovi
r-language-and-rstudio
notation
data-management
data-structure
scales-of-measurement
stevens-operational-theory-of-measurement
nominal-scale
ordinal-scale
interval-scale
ratio-scale
numeric-and-categorical-variables
binary-scale
continuous-and-discrete-variables
scales-in-statistical-software
descriptive-statistics
central-tendency
mode
median
mean
variability
range
quantiles-and-interquartile-range
variance
standard-deviation
plots
scatterplot
boxplot
histogram-and-density-plot
hypothesis-testing
sample-and-population
sample-population-sampling
the-law-of-large-numbers
the-central-limit-theorem
estimating-population-parameters
population-mean
population-standard-deviation
confidence-intervals
statistical-hypothesis-testing
null-and-alternative-hypotheses
types-of-errors
test-statistic-and-the-critical-region
p-value
multiple-comparisons-problem
steps-in-testing-a-statistical-hypothesis
the-trial-of-the-null-hypothesis
comparing-categorical-data
contingency-tables
chi2-test
goodness-of-fit-chi2-test
chi2-test-of-independence
degrees-of-freedom
interpretation-of-test-results
comparing-numerical-data
how-to-decide-which-test-to-use
one-or-two-samples
one-sample
one-sample-t-test
two-samples
independent-samples-t-test-assuming-equal-variances-student-test
independent-samples-t-test-not-assuming-equal-variances-welch-test
unpaired-or-paired-samples
paired-samples-t-test
one-tailed-or-two-tailed-tests
parametric-or-nonparametric-tests
normality
qq-plot
shapiro-wilk-test
nonparametric-tests
mann-whitney-u-test
wilcoxon-signed-rank-test
kolmogorov-smirnov-test
interpretation-of-test-results-1
analysis-of-variance
how-to-decide-which-test-to-use-1
one-way-anova
factorial-anova
post-hoc-tests
assumptions-of-anova
levenes-and-brown-forsythe-tests
correlation-analysis
covariance
correlation-coefficients
pearsons-correlation
spearmans-rank-order-correlation
kendalls-rank-correlation
correlation-matrices-and-heatmaps
statistical-significance
interpretation
simple-linear-regression
ordinary-least-squares
model-specification
calculation-of-an-sls-model
elements-of-a-regression-model
intercept
coefficients
fitted-values
residuals
the-r2
the-adjusted--r2
assumptions-and-diagnostics
gauss-markov-assumptions
data-transformations
log-transformations
linear
interpretation-1
log-linear
interpretation-2
linear-log
interpretation-3
log-log
interpretation-4
polynomials
interpretation-5
ramsey-reset-test
multiple-linear-regression
multiple-predictors
predictor-selection
akaike-information-criterion
model-comparison-with-f-test
multicollinearity
logistic-regression
generalized-linear-models
logit-link
maximum-likelihood-estimation
interpretation-of-coefficients
model-fit
deviance
pseudo-r2
likelihood-ratio-test
classification
principal-component-analysis
intuition
estimation-of-pcs
calculation
spectral-decomposition
singular-value-decomposition
assumptions
number-of-components
interpretation-6
variation-explained
loadings
biplots
factor-analysis
fa-and-pca
orthogonal-factor-model
rotations
varimax
oblimin
quartimax
assumptions-1
sphericity
sampling-adequacy
number-of-components-1
interpretation-7
loadings-1
uniqueness-and-communality
complexity
cluster-analysis
cluster-analysis-1
distance-measures
hierarchical-clustering
linkage-methods
visualization
number-of-clusters
k-means-clustering
number-of-clusters-gap-statistic
visualization-1
data-sets
slides
references