cut offs Flashcards

1
Q

What is the conventional threshold for statistical significance?

A

p < 0.05

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2
Q

What does p < 0.01 indicate in hypothesis testing?

A

A more stringent significance level, indicating stronger evidence.

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3
Q

What values of skewness and kurtosis are generally acceptable to indicate normality?

A

Between -2 and 2.

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4
Q

What is an acceptable p-value for the Shapiro-Wilk and Kolmogorov-Smirnov tests to indicate normality?

A

p > 0.05.

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5
Q

What is the cutoff for identifying outliers using z-scores?

A

z-scores > ±3.29.

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6
Q

For Levene’s test, what p-value indicates equal variances?

A

p > 0.05.

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7
Q

In regression analysis, what Variance Inflation Factor (VIF) cutoff suggests no serious multicollinearity?

A

VIF < 5 (some use VIF < 10).

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8
Q

What is an acceptable tolerance level in regression analysis?

A

tolerance > 0.2.

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9
Q

What are the effect size cutoffs for Cohen’s d?

A

Small: r = 0.1, Medium: r = 0.3, Large: r = 0.5.

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10
Q

For eta-squared (η²) in ANOVA, what values represent small, medium, and large effects?

A

Small: η² = 0.01, Medium: η² = 0.06, Large: η² = 0.14.

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11
Q

In regression analysis, what R-squared (R²) values are typically seen as small, medium, and large effects?

A

Small: R² = 0.02, Medium: R² = 0.13, Large: R² = 0.26.

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12
Q

What power level is recommended for adequate sensitivity in hypothesis testing?

A

Power = 0.8 (80%).

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13
Q

What is the cutoff for Mahalanobis distance when identifying multivariate outliers?

A

Based on chi-square distribution, varies with degrees of freedom (number of variables).

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14
Q

In factor analysis, what is the Kaiser Criterion cutoff for eigenvalues?

A

Eigenvalues > 1 indicate factors worth retaining.

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15
Q

What are the recommended Cronbach’s Alpha values for internal consistency?

A

Acceptable: α > 0.7, Good: α > 0.8, Excellent: α > 0.9.

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16
Q

What are the cutoffs for inter-rater reliability (Cohen’s Kappa)?

A

Poor: < 0.4, Fair: 0.4–0.6, Good: 0.6–0.75, Excellent: > 0.75.

17
Q

What sample sizes are suggested to detect small, medium, and large effect sizes?

A

Small: n ≥ 300, Medium: n ≥ 100, Large: n ≥ 50.

18
Q

For group comparisons, what is the minimum recommended sample size per group?

A

At least 30 participants per group.

19
Q

What symbols represent “less than” and “greater than”?

A

Less Than: <
(Example: 3 < 5 means “3 is less than 5”)

Greater Than: >
(Example: 7 > 2 means “7 is greater than 2”)

20
Q
A