Path Analysis Quiz

Who developed the technique of path analysis?

• Karl Pearson

• Sewal Wright

• Charles Spearman

• Jonathan Sarwono

What is the main purpose of using path analysis?

• To analyze linear relationships between variables

• To determine the significance of correlations

• To identify causal relationships between variables

• To estimate the magnitude of regression coefficients

Which assumption is necessary for path analysis?

• Non-linearity of relationships

• High multicollinearity between variables

• Correlation between disturbance terms

• Linear relationships between variables

What does the coefficient beta (β) represent in path analysis?

• The standardized regression coefficient

• The magnitude of the causal effect

• The significance of the correlation

• The proportion of variance explained

Which type of data is required for path analysis?

• Categorical data

• Ordinal data

• Interval-scaled data

• Nominal data

What is the purpose of path analysis?

• To analyze the relationship between variables

• To calculate the standard error of coefficients

• To determine the sample size

• To test for multicollinearity

Which of the following is a requirement for using path analysis?

• Data with interval scale

• Reciprocal relationships between variables

• Sample size of at least 100

• High correlation between exogenous variables

What is the purpose of model specification in path analysis?

• To interpret the coefficients accurately

• To eliminate bias in the analysis

• To determine the appropriate correlation measure

• To calculate the standard error of estimate

Which type of correlation measure is appropriate for two interval scale variables?

• Pearson correlation

• Polychoric correlation

• Tetrachoric correlation

• Polyserial correlation

What is the recommended sample size for path analysis?

• Less than 100

• Between 100 and 400

• Between 400 and 1000

• More than 1000