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Chi-Square Test for Independence
The chi-square test for independence is a significance test of the relationship between categorical variables. This test is sometimes known as the “Pearson's chi-square” in honor of its developer, ...
- Biographies
- Babbage, Charles
- Bernoulli, Jakob
- Bonferroni, Carlo Emilio
- Bruno, James Edward
- Comrey, Andrew L.
- Cronbach, Lee J.
- Darwin, Charles
- Deming, William Edwards
- Fisher, Ronald Aylmer
- Galton, Sir Francis
- Gauss, Carl Friedrich
- Gresham, Frank M.
- Jackson, Douglas N.
- Malthus, Thomas
- Markov, Andrei Andreevich
- Pascal, Blaise
- Pearson, Karl
- Poisson, Siméon Denis
- Reynolds, Cecil R.
- Torrance, E. Paul
- Wilcoxon, Frank
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- Galton, Sir Francis
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- Mean
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- Median
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- Moving Average
- Parameter
- Parameter Invariance
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- Pearson Product-Moment Correlation Coefficient
- Pearson, Karl
- Percentile and Percentile Rank
- Scattergram
- Semi-Interquartile Range
- Spurious Correlation
- Standard Deviation
- Survey Weights
- Text Analysis
- Evaluation
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- Standards for Educational and Psychological Testing
- Alternative Hypothesis
- American Statistical Association
- Americans with Disabilities Act
- Association for Psychological Science
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- Bioinformatics
- Complete Independence Hypothesis
- Continuous Variable
- Critical Value
- Data Collection
- Data Mining
- Delphi Technique
- Dependent Variable
- Descriptive Research
- Ethical Issues in Testing
- Ethical Principles in the Conduct of Research With Human Participants
- Fractional Randomized Block Design
- Hello-Goodbye Effect
- Hypothesis and Hypothesis Testing
- Independent Variable
- Informed Consent
- Instrumental Variables
- Internal Review Board
- Longitudinal/Repeated Measures Data
- Meta-Analysis
- Missing Data Method
- Mixed Models
- Mixture Models
- Moderator Variable
- Monte Carlo Methods
- Null Hypothesis Significance Testing
- Ockham's Razor
- Pairwise Comparisons
- Post Hoc Comparisons
- Projective Testing
- Quasi-Experimental Method
- Sample Size
- Section 504 of the Rehabilitation Act of 1973
- Significance Level
- Simple Main Effect
- Simulation Experiments
- Single-Subject Designs
- Statistical Significance
- Suppressor Variable
- Variable
- Variable Deletion
- Variance
- Inferential Statistics
- Akaike Information Criterion
- Analysis of Covariance (ANCOVA)
- Analysis of Variance (ANOVA)
- Bayes Factors
- Bayesian Information Criterion
- Binomial Test
- Bonferroni, Carlo Emilio
- Complete Independence Hypothesis
- Data Analysis ToolPak
- Exploratory Factor Analysis
- Factorial Design
- Fisher, Ronald Aylmer
- Hierarchical Linear Modeling
- Hypothesis and Hypothesis Testing
- Inferential Statistics
- Logistic Regression Analysis
- Markov, Andrei Andreevich
- Null Hypothesis Significance Testing
- Pairwise Comparisons
- Part and Partial Correlations
- Repeated Measures Analysis of Variance
- Type I Error
- Type II Error
- Wilcoxon, Frank
- Organizations and Publications
- Journal of Modern Applied Statistical Methods
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- Prediction and Estimation
- Attributable Risk
- Bernoulli, Jakob
- Chance
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- Continuous Variable
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- Age Norms
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- Career Maturity Inventory
- Central Limit Theorem
- Class Interval
- Cluster Sampling
- Confidence Intervals
- Convenience Sampling
- Cumulative Frequency Distribution
- Data Collection
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- Gauss, Carl Friedrich
- Heteroscedasticity and Homoscedasticity
- Homogeneity of Variance
- Hypergeometric Distribution
- Kurtosis
- Malthus, Thomas
- Multicollinearity
- Multivariate Normal Distribution
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- Normal Curve
- Ogive
- Parameter
- Percentile and Percentile Rank
- Poisson Distribution
- Poisson, Siméon Denis
- Posterior Distribution
- Prior Distribution
- Probability Sampling
- Quota Sampling
- Random Sampling
- Sample
- Sample Size
- Semi-Interquartile Range
- Simpson's Rule
- Skewness
- Smoothing
- Stanine
- Stratified Random Sampling
- Unbiased Estimator
- Statistical Techniques
- k-Means Cluster Analysis
- t Test for Two Population Means
- Binomial Distribution/Binomial and Sign Tests
- Bivariate Distributions
- Bonferroni Test
- Bowker Procedure
- Causal Analysis
- Centroid
- Chance
- Chi-Square Test for Goodness of Fit
- Chi-Square Test for Independence
- Classification and Regression Tree
- Cochran Q Test
- Cohen's Kappa
- Delta Method
- Dimension Reduction
- Discriminant Analysis
- Dissimilarity Coefficient
- Dixon Test for Outliers
- Dunn's Multiple Comparison Test
- Eigendecomposition
- Eigenvalues
- EM Algorithm
- Exploratory Data Analysis
- Factor Analysis
- Factor Scores
- Fisher Exact Probability Test
- Fisher's LSD
- Friedman Test
- Goodness-of-Fit Tests
- Grounded Theory
- Kolmogorov-Smirnov Test for One Sample
- Kolmogorov-Smirnov Test for Two Samples
- Kruskal-Wallis One-Way Analysis of Variance
- Latent Class Analysis
- Likelihood Ratio Test
- Lilliefors Test for Normality
- Mann-Whitney U Test (Wilcoxon Rank-Sum Test)
- McNemar Test for Significance of Changes
- Median Test
- Meta-Analysis
- Multiple Comparisons
- Multiple Factor Analysis
- Multiple Imputation for Missing Data
- Multivariate Analysis of Variance (MANOVA)
- Newman-Keuls Test
- O'Brien Test for Homogeneity of Variance
- Observational Studies
- One-Way Analysis of Variance
- Page's L Test
- Paired Samples t Test (Dependent Samples t Test)
- Path Analysis
- Peritz Procedure
- Scan Statistic
- Shapiro-Wilk Test for Normality
- Structural Equation Modeling
- Tests of Mediating Effects
- Three-Card Method
- Tukey-Kramer Procedure
- Wilcoxon Signed Ranks Test
- Statistical Tests
- t Test for Two Population Means
- Analysis of Covariance (ANCOVA)
- Analysis of Variance (ANOVA)
- Behrens-Fisher Test
- Binomial Distribution/Binomial and Sign Tests
- Binomial Test
- Bonferroni Test
- Bowker Procedure
- Chi-Square Test for Goodness of Fit
- Chi-Square Test for Independence
- Classification and Regression Tree
- Cochran Q Test
- Dixon Test for Outliers
- Dunn's Multiple Comparison Test
- Excel Spreadsheet Functions
- Fisher Exact Probability Test
- Fisher's LSD
- Friedman Test
- Goodness-of-Fit Tests
- Kolmogorov-Smirnov Test for One Sample
- Kolmogorov-Smirnov Test for Two Samples
- Kruskal-Wallis One-Way Analysis of Variance
- Latent Class Analysis
- Likelihood Ratio Test
- Lilliefors Test for Normality
- Mann-Whitney U Test (Wilcoxon Rank-Sum Test)
- McNemar Test for Significance of Changes
- Median Test
- Multiple Comparisons
- Multivariate Analysis of Variance (MANOVA)
- Newman-Keuls Test
- O'Brien Test for Homogeneity of Variance
- One- and Two-Tailed Tests
- One-Way Analysis of Variance
- Page's L Test
- Paired Samples t Test (Dependent Samples t Test)
- Peritz Procedure
- Repeated Measures Analysis of Variance
- Shapiro-Wilk Test for Normality
- Tests of Mediating Effects
- Tukey-Kramer Procedure
- Wilcoxon Signed Ranks Test
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- Wechsler Adult Intelligence Scale
- Wechsler Individual Achievement Test
- Wechsler Preschool and Primary Scale of Intelligence
- West Haven-Yale Multidimensional Pain Inventory
- Woodcock Johnson Psychoeducational Battery
- Woodcock Reading Mastery Tests Revised
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