Hypotheses, Significance, & Errors
t-Tests & ANOVA
Correlation & Regression
Chi-Square & Nonparametric Tests
Meta-Analysis, Forest Plots & Advanced Stats
100

This hypothesis predicts there is no significant difference between groups or variables.

What is the null hypothesis?

100

This t-test compares the means of two independent groups.

What is the independent samples t-test?

100

A correlation that increases as both variables increase.

What is a positive correlation?

100

This test compares observed vs expected frequencies in categorical data.

What is the chi-square test?

100

This statistical technique combines results from multiple studies.

What is a meta-analysis?

200

The hypothesis that predicts there is a difference or relationship between variables.

What is the alternative (research) hypothesis?

200

This t-test compares the means of two related (paired) scores from the same participants.

What is the dependent (paired) samples t-test?

200

When one variable increases while the other decreases, the correlation is described as this.

What is a negative correlation?What is a negative correlation?

200

Chi-square is best used with this level of data.

What is nominal data?

200

The visual representation of a meta-analysis is known as this.

What is a forest plot?

300

This is the level of risk a researcher accepts when possibly rejecting a true null hypothesis.

What is the alpha level (significance level)?

300

This test compares the means of three or more independent groups.

What is a one-way ANOVA?

300

The strength of a correlation is measured by this value.

What is the correlation coefficient (r)?

300

The one-variable version of chi-square is known as this.

What is a test of goodness of fit?

300

The vertical line in a forest plot represents this.

What is the line of no effect?

400

A Type I error happens when you do this to a true null hypothesis.

What is reject it (false positive)?

400

When the same group of participants is measured multiple times, this ANOVA is used.

What is a repeated measures ANOVA?

400

A correlation of r = 0 indicates this type of relationship.

What is no relationship?

400

When comparing two variables with chi-square, it’s called this.

What is a test of independence?

400

When the diamond does not cross the line of no effect, the result is considered this.

What is statistically significant?

500

A Type II error occurs when you do this to a false null hypothesis.

What is accept it (false negative)?

500

When you have two or more independent variables, this ANOVA is appropriate.

What is a factorial ANOVA?

500

This type of chart is used to display correlations visually.

What is a scatter plot?

500

The assumptions for chi-square tests differ from parametric tests because they do not require this.

What is a normal distribution?

500

The “whiskers” in a forest plot represent these.

What are the confidence intervals?

600

Replicating a study helps reduce this type of error, often called a false positive.

What is a Type I error?

600

This analysis allows researchers to compare multiple dependent variables at once.

What is a MANOVA (Multivariate ANOVA)?

600

The percentage of variance in one variable explained by another is shown by this statistic.

What is the coefficient of determination (r²)?

600

These tests, including chi-square, do not require equal group variance or large samples.

What are nonparametric tests?

600

The size of each box in a forest plot indicates this.

What is the weight or influence of the study?

700

Increasing your sample size primarily helps reduce this type of error.

What is a Type II error?

700

This type of ANOVA controls for the effects of an existing variable.

What is an ANCOVA (Analysis of Covariance)?

700

A correlation of .90 indicates what type of relationship strength?

What is a very strong positive correlation?

700

If the number of people preferring coffee vs tea differs from what was expected, this test would be used.

What is a chi-square test?

700

This test checks whether the included studies in a meta-analysis are consistent with one another.

What is the test of heterogeneity?

800

The probability of making a Type I error when alpha = .05.

What is 5%?

800

The degrees of freedom for t(79) indicate how many participants were analyzed across both groups.

participants were analyzed across both groups.What is 81 participants (n₁ + n₂ − 2 = 79)?

800

A correlation of -.66 would be described as this.

What is a strong negative correlation?

800

The “expected values” in a chi-square table are based on this assumption.

What is chance or equal distribution?

800

This measure (η²) represents the proportion of variance explained in an ANOVA.

What is eta-squared?

900

When you reject a false null hypothesis, you’ve made this type of decision.

What is a correct decision?

900

This post-hoc test is often used after finding a significant ANOVA result to determine which groups differ.

What is the Tukey or Bonferroni test?

900

Correlation can show relationships, but not this.

What is Causation! 

900

Nonparametric tests are sometimes referred to as these types of statistics.

What are distribution-free statistics?

900

This measure (ω²) shows effect size in a factorial ANOVA.

What is omega-squared?

1000

This term describes how meaningful or practically important your findings are, beyond significance.

What is effect size?

1000

In a 2×2×3 factorial ANOVA, this is the number of independent variables.

What is three?

1000

This test examines whether the correlation between two variables is statistically significant

What is the Pearson product-moment correlation test?

1000

This test checks if two groups have equal variance before conducting a t-test or ANOVA.

What is Levene’s test?

1000

A meta-analysis helps overcome both Type I and Type II errors because it does this.

What is combines multiple studies, increasing power and reliability?

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