252 lines
3.3 KiB
Plaintext
252 lines
3.3 KiB
Plaintext
%
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95 per cent ci
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95 per cent confidence interval
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95 percent confidence interval
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95% ci
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95% confidence interval
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:=
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"="
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anova
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as-if randomisation
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average causal effect
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average component marginal effect
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average treatment effect
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bayesian
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best model
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binomial
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binomial regression
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bootstrap
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bootstrapped
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bootstrapping
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causal model
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Chi square
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Chi squared
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Chi-square
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Chi-squared
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clustered errors
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clustered standard errors
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coefficient
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coefficients
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cohen's d
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compiled by the author
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compiled by the authors
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confidence interval
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confidence measure
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confounder
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confounders
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conjoint experiment
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control group
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control unit
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control variable
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control variables
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correlation coefficient
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covariate balance
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covariates
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cumulative mean
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cumulative sum
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Data and Methodology
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data and methods
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data collection
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data methods
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dependent variable
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diff-in-diff
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diff-in-diffs
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difference-in-difference
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difference-in-differences
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dv
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Entropy balancing
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estimation strategy
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estimator
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explanatory variable
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factor analysis
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f statistic
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f-statistic
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fixed effects
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frequency
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generalised linear model
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generalised linear models
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geocomputation
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geocomputational analysis
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geospatial
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geospatial analysis
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glm
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glmm
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glmms
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glms
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h1
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h2
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h3
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h4
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h5
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heteroskedasticity
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hesteroskedastic
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hierarchical model
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histogram
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hypothesis test
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identification strategy
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independent variable
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instrumental variable
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intercept
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interest variable
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J-test
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J test
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kurtosis
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linear model
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linear models
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linear regression
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log
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logit
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logit estimation
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main variable
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main variables
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manova
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marginal effect
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marginal effects
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maximum likelihood
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mean frequency
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mean number
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mean score
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measurement error
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median
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min
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missing data
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mixed effects
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model fit
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model performance
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model weights
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multi-level model
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multilevel model
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multinomial
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multivariate analyses
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multivariate analysis
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n =
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n ¼
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n=
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natural experiment
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natural log
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negative binomial
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new dataset
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non-linear model
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non-parametric regression
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nonlinear model
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nonparametric regression
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novel data
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novel data-set
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novel dataset
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n¼
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obs.
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ols
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operationalisation
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operationalise
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operationalization
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operationalization strategy
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operationalize
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operationsalisation strategy
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ordinal
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ordinary least squares
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original data
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original data set
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original data-set
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original database
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original dataset
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outcome variable
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parameter estimate
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parameters
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percentage
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point estimate
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poisson
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polity iv
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posterior probabilit
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power analysis
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predicted probabilit
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predictor
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preregister
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preregistered
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preregistration
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probit
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probit analysis
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quasi-experimental
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R
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r ¼
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r2
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r=
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random sample
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randomized control trial
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regression
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regression discontinuity
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regression model
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regression models
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representative sample
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residuals
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response variable
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robustness
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robustness check
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r¼
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sample size
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simulation
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skewness
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slopes upward
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spatial analysis
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SSD
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standard clustered errors
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standard deviation
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standard errors
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stata
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statistical power
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statistical significance
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statistically significant
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std. dev.
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Student t test
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Student t tests
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Student t-test
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Student t-tests
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subsamples
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sum curve
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sum plot
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survey experiment
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t model
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t test
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t-test
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time series
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time series data
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treated unit
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treatment assignment
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treatment effect
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treatment variable
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variable
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vignette experiment
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weights
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x-axis
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x-y
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y-axis
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z axis
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zero-altered
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zero-truncated
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±
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χ2
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≈
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≤
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≥
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quadratic
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polynomial
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p < 0.001
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p < 0.01
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p < 0.05
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p value
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p-value
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p<0.001
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p<0.01
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p<0.05
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p<
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p <
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p <
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p>
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p >
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p >
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p¼
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p ¼
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p ¼
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*
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**
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***
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