Multivariate Statistics

Multivariate statistics includes topics of Multivariate variables, multivariate normal distribution, canonical correlation, PCA, FA, CFA, etc.

Important MCQs Multivariate Quiz 5

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The post is about the MCQs Multivariate Quiz. There are 25 multiple-choice questions about Multivariate Analysis of Variance (MANOVA), its introduction, assumptions, interpretation, and real-life application. Let us start with the MCQs Multivariate Quiz.

Online multivariate statistics and Manova MCQs

1. What problem is associated with correlated DVs?

 
 
 
 

2. An educational psychologist studies the influence of a child’s gender and their parent’s job on a number of behavioral outcomes. Based on the MANOVA output, which of the following is true?

 
 
 
 

3. How does MANOVA handle the DVs in the analysis?

 
 
 
 

4. An educational psychologist studies the influence of a child’s gender and their parent’s job on a number of behavioral outcomes. Based on the MANOVA output, for which of the following dependent variables was there an interaction effect?

 
 
 
 

5. In MANOVA, there are:

 
 
 
 

6. What use do multivariate analyses of variance have, if any?

 
 
 
 

7. What would you use Box’s M test for?

 
 
 
 

8. In one-way MANOVA, which variable must be continuous?

 
 
 
 

9. Which of the following is true?

 
 
 
 

10. What would this be interpreted as if Box’s M had an associated P-value of < 0.05?

 
 
 
 

11. An educational psychologist studies the influence of a child’s gender and their parent’s job on a number of behavioral outcomes. Based on the MANOVA output, which dependent variables affected the child’s gender?

 
 
 
 

12. Which F-value is typically reported in a MANOVA?

 
 
 
 

13. In which of the following conditions can MANOVA be used? Check all possible options.

 
 
 
 

14. The problem of multiple comparisons is dealt with in MANOVA by:

 
 
 
 

15. In MANOVA:

 
 
 
 

16. The Hotelling multivariate $t^2$:

 
 
 
 

17. An educational psychologist studies the influence of a child’s gender and their parent’s job on a number of behavioral outcomes. Based on the MANOVA output, how many dependent variables are used?

 
 
 
 

18. If MANOVA is statistically significant:

 
 
 
 

19. Which statistical technique is most similar to MANOVA?

 
 
 
 

20. MANOVA:

 
 
 
 

21. Where would you find the option for repeated measures MANOVA in SPSS?

 
 
 
 

22. MANOVA can lose degrees of freedom:

 
 
 
 

23. Which of the following is true?

 
 
 
 

24. Which of the following statements is true of MANOVA?

 
 
 
 

25. Which of the following has the closest relationship with MANOVA?

 
 
 
 

Online MCQs Multivariate Quiz with Answers

MCQs Multivariate Quiz with Answers
  • Which statistical technique is most similar to MANOVA?
  • Which of the following has the closest relationship with MANOVA?
  • In MANOVA, there are:
  • In multivariate analysis of variance (MANOVA):
  • The problem of multiple comparisons is dealt with in MANOVA by:
  • MANOVA can lose degrees of freedom:
  • Which of the following is true?
  • The Hotelling multivariate $t^2$:
  • MANOVA:
  • If MANOVA is statistically significant:
  • Which of the following is true?
  • An educational psychologist studies the influence of a child’s gender and their parent’s job on a number of behavioral outcomes. Based on the MANOVA output, how many dependent variables are used?
  • An educational psychologist studies the influence of a child’s gender and their parent’s job on a number of behavioral outcomes. Based on the MANOVA output, which of the following is true?
  • An educational psychologist studies the influence of a child’s gender and their parent’s job on a number of behavioral outcomes. Based on the MANOVA output, which dependent variables affected the child’s gender?
  • An educational psychologist studies the influence of a child’s gender and their parent’s job on a number of behavioral outcomes. Based on the MANOVA output, for which of the following dependent variables was there an interaction effect?
  • How does MANOVA handle the DVs in the analysis?
  • What would this be interpreted as if Box’s M had an associated P-value of < 0.05?
  • What problem is associated with correlated DVs?
  • What use do multivariate analyses of variance have, if any?
  • What would you use Box’s M test for?
  • Where would you find the option for repeated measures MANOVA in SPSS?
  • Which F-value is typically reported in a MANOVA?
  • Which of the following statements is true of MANOVA?
  • In which of the following conditions can MANOVA be used? Check all possible options.
  • In one-way MANOVA, which variable must be continuous?
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Important MCQs Multivariate Statistics 4

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The post is about MCQs Multivariate Statistics with Answers. It covers topics of Eigen values, Eigen Vectors, Moderation, and Mediation, etc.

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Online MCQs Multivariate Statistics

  • The word “Eigen” originates from  ——-.
  • Eigenvectors are by definition ———.
  • Eigenvalues may be equal to ———.
  • Eigenvectors with distinct Eigenvalues are ———.
  • Singular Matrices have Eigenvalues
  • If the Eigenvalues are negative the direction is ——–.
  • If one of the Eigenvalues of $[A]_{n\times n}$ is zero, it implies ——-.
  • The word Eigen means ——–‘
  • Which of the following is an orthogonal rotation in factor analysis ———.
  • If a researcher wants to determine the amount of variance in the original variables that is associated with a factor, they would use?
  • Which of the following are violations of as assumption underlying regression analysis ——–.
  • The percentage of variance criteria specifies that the number of factors to be extracted is determined by the cumulative percentage of variance extracted reaching a satisfactory level. This level should be at least ———.
  • A moderator effect is where the size of the relationship between one variable and another variable is:
  • Moderation effect is also known as ——–.
  • The combined effect of two variables on one another is known conceptually as ———–, and in statistical terms as ———–.
  • Imagine we wanted to at the relationship between the number of hours spent practicing the guitar per week and skill level. If we had reason to believe that the strength or direction of the relationship between these variables would be affected by the level of enjoyment, what type of analysis should be conducted on these data?
  • ———– analysis tests a hypothetical causal chain where one variable $X$ affects a second variable $M$ and, in turn, the variable affects a third variable $Y$:
  • A ——– mediates the relationship between the independent and dependent variables explaining the reason for such a relationship to exist:
  • ———— is a way to check whether that third variable influences the strength or direction of the relationship between an independent and dependent variable:
  • Why is it a good idea to center your variable when conducting a moderation analysis?
MCQs Multivariate Statistics

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Important Multivariate Quiz 3

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Multivariate Analysis term includes all statistics for more than two variables analyzed simultaneously. The post is about Multivariate Quiz. Let us start with the Online Multivariate Quiz with Answers.

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An application of different statistical methods applied to the economic data used to find empirical relationships between economic data is called Econometrics. In other words, Econometrics is “the quantitative analysis of actual economic phenomena based on the concurrent development of theory and observation, related by appropriate methods of inference”.

Multivariate Quiz Questions

  • An empirically based hypothetical variable consisting of items that are strongly associated with each other and upon which individuals differ is known as what?
  • Identify the correct statement from the following
  • Look at the steps below. Is there anything else a researcher could do? The correlation matrix is produced → factors are then retained based on eigenvalues over 1 and theoretical considerations → then the rotated factor loadings (whatever their loading) are used to name factors.
  • Rotation usually involves __________ high correlations and _________ low ones.
  • The most common method of rotation is called
  • Variables are not always measured in the same units so using the correlation matrix in factor analysis is equivalent to standardizing the data so that they are comparable.
  • You cannot retain factors that have an eigenvalue value of less than 1 as only factors with an eigenvalue over 1 should be kept.
  • ——— was known for his seminal work on testing and measuring “Human Intelligence” by using “Factor Analysis” during World War I.
  • Factor analysis is a:
  • Assumptions to be fulfilled for running factor analysis:
  • Principle component analysis is one of the methods of:
  • Determination of a number of factors:
  • In factor analysis ———— is the amount of variance explained by a factor.
  • In factor analysis, there are two common rotation techniques:
  • It can be defined as the correlation coefficient between the variable and the factor.
  • Some steps for Conducting factor analysis are:
  • A technique for the study of interrelationships among variables, usually for data reduction and the discovery of underlying constructors or latent dimensions is known as:
  • To determine which variables relate to which factors, a researcher would use:
  • If a researcher wanted to determine which variables were associated with which factors they would look at:
  • If a researcher uses factor rotation in a factor analysis, what will be the likely outcome:
MCQs Multivariate Quiz itfeature.com
  • Partial Least Squares (PLS) Regression is an example of multivariate analysis (MVA).
  • Multivariate Multiple Regression is a method of modeling multiple dependent variables, with a single set of predictor variables.
  • Testing text and visual elements on a webpage together.
  • An example of multivariate data is Vital signs recorded for a newborn baby: This includes multiple variables such as heart rate, respiratory rate, blood pressure, and temperature.

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Important Online MCQs Multivariate 2

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The post is about the MCQs Multivariate Analysis test. It includes a Variance-Covariance matrix, Principal Component Analysis, Factor Analysis, Factor Loading, etc. Let us start with the Online MCQs Multivariate Quiz.

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An application of different statistical methods applied to the economic data used to find empirical relationships between economic data is called Econometrics. In other words, Econometrics is “the quantitative analysis of actual economic phenomena based on the concurrent development of theory and observation, related by appropriate methods of inference”.

Online MCQs Multivariate

  • In multivariate analysis Var-Cov matrix is
  • In the relation $\Sigma = V^{1/2} \rho ^{1/2} V^{1/2}$, the $V^{1/2} is called
  • If $X \sim N (\mu, \Sigma)$ then $(X-\mu)’ \Sigma^{-1} (X-\mu)$ is distributed as
  • In multivariate analysis, $n(\overline{x} – \mu)’ S^{-1} (\overline{x} – \mu)$ is called
  • In multivariate analysis the distribution of $\overline{X}$ is
  • In multivariate analysis the distribution of the sample covariance matrix is
  • In factor analysis the reliable variance
  • In principal component analysis (PCA) the first component contains
  • In principal component analysis, the components are
  • In PCA, when the variables are measured in different units then PCs extracted on the basis of
  • The goal of multiple regression is to
  • A multivariate statistic that allows you to investigate the relationship between two sets of variables is
  • Correlational multivariate analysis includes
  • An advantage of using an experimental multivariate design over separate univariate designs is that using the multivariate analysis – – – – – – -.
  • A multivariate statistic that allows you to analyze several dependent variables from an experimental design simultaneously is
  • ——- is used for causal analysis
  • Factor loading is
  • A factor loading of 0.80 means, generally speaking, that
  • A factor is a combination of variables
  • Factor analysis pinpoints the clusters of correlations between variables and for each cluster
MCQs Multivariate itfeature.com
  • Partial Least Squares (PLS) Regression is an example of multivariate analysis (MVA).
  • Multivariate Multiple Regression is a method of modeling multiple dependent variables, with a single set of predictor variables.
  • Testing text and visual elements on a webpage together.
  • An example of multivariate data is Vital signs recorded for a newborn baby: This includes multiple variables such as heart rate, respiratory rate, blood pressure, and temperature.

Online MCQs Multivariate

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