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PLS-SEM Midterm Exam Study Set Questions and Answers Grade A+ 2023
What are the two types of analysis tools? - -Exploratory and confirmatory. Exploratory helps develop a model. Confirmatory confirms a theory. 
 
-What are exploratory analysis tools? - -1st generation tools include Cluster analysis, EFA, and Multi dimensional scaling. 2nd generation tools include PLS-SEM, which is non-parametric and OLS estimation. 
 
-What are confirmatory analysis tools? - -1st generation tools include ANOVA, Logistic Regression, and Multiple Regression. 2nd generation tools i...
- Exam (elaborations)
- • 13 pages •
What are the two types of analysis tools? - -Exploratory and confirmatory. Exploratory helps develop a model. Confirmatory confirms a theory. 
 
-What are exploratory analysis tools? - -1st generation tools include Cluster analysis, EFA, and Multi dimensional scaling. 2nd generation tools include PLS-SEM, which is non-parametric and OLS estimation. 
 
-What are confirmatory analysis tools? - -1st generation tools include ANOVA, Logistic Regression, and Multiple Regression. 2nd generation tools i...
Multivariate Data Analysis Questions and Answers High Grade 2023
Multivariate Analysis - -deals with the statistical analysis of observations where there are multiple responses on each observational unit. 
 
-Multivariate Analysis - -This essentially models reality where each situation, product, or decision involves more than a single variable. 
 
-quantum of data - -Despite the ____________________ available, the ability to obtain a clear picture of what is going on and make intelligent decisions is a challenge. 
 
-process the information in a meaningful fa...
- Exam (elaborations)
- • 3 pages •
Multivariate Analysis - -deals with the statistical analysis of observations where there are multiple responses on each observational unit. 
 
-Multivariate Analysis - -This essentially models reality where each situation, product, or decision involves more than a single variable. 
 
-quantum of data - -Despite the ____________________ available, the ability to obtain a clear picture of what is going on and make intelligent decisions is a challenge. 
 
-process the information in a meaningful fa...
Multivariate Data Analysis Questions and Answers Grade A+ 2023
Multivariate Data Analysis - -deals with statistical analysis of observations where there are multiple responses on each observational unit 
 
-a single variable - -MDA models reality where each situation, product, or decision involves more than _____ 
 
-process the information in a meaningful fashion - -Multivariate Analysis can be used to ___ 
 
-1. Consumer and market research 
2. Quality control and assurance 
3. Process optimization and process control 
4. Research and development - -Uses ...
- Exam (elaborations)
- • 2 pages •
Multivariate Data Analysis - -deals with statistical analysis of observations where there are multiple responses on each observational unit 
 
-a single variable - -MDA models reality where each situation, product, or decision involves more than _____ 
 
-process the information in a meaningful fashion - -Multivariate Analysis can be used to ___ 
 
-1. Consumer and market research 
2. Quality control and assurance 
3. Process optimization and process control 
4. Research and development - -Uses ...
Multivariate Data Analysis questions and Answers Grade A+ 2023
Bootstrapping - -An approach to validating a multivariate model by drawing a large number of sub- samples and estimating models for each subsample. Estimates from all the subsamples are then com- bined, providing not only the "best" estimated coefficients (e.g., means of each estimated coefficient across all the subsample models), but their expected variability and thus their likelihood of differing from zero; that is, are the estimated coefficients statistically different from zero or not? Th...
- Exam (elaborations)
- • 49 pages •
Bootstrapping - -An approach to validating a multivariate model by drawing a large number of sub- samples and estimating models for each subsample. Estimates from all the subsamples are then com- bined, providing not only the "best" estimated coefficients (e.g., means of each estimated coefficient across all the subsample models), but their expected variability and thus their likelihood of differing from zero; that is, are the estimated coefficients statistically different from zero or not? Th...
Multivariate Data Analysis Questions and Answers Grade A+ 2023
Types of Multivariate Techniques - -1. Principal components and common factor analysis 
2. Multiple regression and Multiple correlation 
3. Multiple discriminant analysis and logistic regression 
4. Canonical correlation analysis 
5. Multivaiate analysis of variance covariance 
6. Conjoint analysis 
7. Cluster analysis 
8. Perceptual mapping, AKA Multidimentional scaling 
9. Correspondence Analysis 
10. Structural equation modeling and confirmatory factor analysis 
 
-Factor analysis - -Analyzin...
- Exam (elaborations)
- • 4 pages •
Types of Multivariate Techniques - -1. Principal components and common factor analysis 
2. Multiple regression and Multiple correlation 
3. Multiple discriminant analysis and logistic regression 
4. Canonical correlation analysis 
5. Multivaiate analysis of variance covariance 
6. Conjoint analysis 
7. Cluster analysis 
8. Perceptual mapping, AKA Multidimentional scaling 
9. Correspondence Analysis 
10. Structural equation modeling and confirmatory factor analysis 
 
-Factor analysis - -Analyzin...
Multivariate analysis Questions and Answers Grade A+ 2023
PERMANOVA - -Multivariate test using permutations to cope with large sets of complex data 
 
-MANOVA - -ANOVA with several dependent variables 
 
-Overall multivariate test result - -If this test is significant, then we can assume that the effect of the whole set of independent variables is significant 
 
-Homogeneity of variances and Covariances - -An assumption for when you have a multivariate design and you need to test variance between the different variables 
 
-SIMPER - -What you do if a P...
- Exam (elaborations)
- • 2 pages •
PERMANOVA - -Multivariate test using permutations to cope with large sets of complex data 
 
-MANOVA - -ANOVA with several dependent variables 
 
-Overall multivariate test result - -If this test is significant, then we can assume that the effect of the whole set of independent variables is significant 
 
-Homogeneity of variances and Covariances - -An assumption for when you have a multivariate design and you need to test variance between the different variables 
 
-SIMPER - -What you do if a P...
Mixed Methods [COMB2] Questions and Answers Grade A+ 2023
Mixed Methods Designs - -Allow researchers to use two types of data to verify findings, to more deeply develop their theoretical frameworks; and to produce a richer dataset; use both qualitative and quantitative data 
 
-Hypothesis - -A declarative statement of the relationship between two or more variables. 
 
-Methodology - -the application of particular procedures toward acquiring the answers to a wide variety of research questions 
 
-Mixed Methods Research Design - -a type of research desig...
- Exam (elaborations)
- • 122 pages •
Mixed Methods Designs - -Allow researchers to use two types of data to verify findings, to more deeply develop their theoretical frameworks; and to produce a richer dataset; use both qualitative and quantitative data 
 
-Hypothesis - -A declarative statement of the relationship between two or more variables. 
 
-Methodology - -the application of particular procedures toward acquiring the answers to a wide variety of research questions 
 
-Mixed Methods Research Design - -a type of research desig...
LECTURE 11: MANOVA Questions and Answers Grade A+ 2023
What, When, And Why do we use a MANOVA? What are some examples? 
 
What is one of the main differences between ANOVA and MANOVA?? - -•To test for differences between groups 
•When we have several dependent variables (outcomes) 
•Tests for 'multivariate' effect 
•Common in clinical research 
•Example: 
•assess gender (male/female) differences in wellbeing: 
•Life 
•Job 
•Relationship 
Mental, etc 
 
 
That a MANOVA can handle more than one DV (multivariate), whereas ANOVAS (un...
- Exam (elaborations)
- • 15 pages •
What, When, And Why do we use a MANOVA? What are some examples? 
 
What is one of the main differences between ANOVA and MANOVA?? - -•To test for differences between groups 
•When we have several dependent variables (outcomes) 
•Tests for 'multivariate' effect 
•Common in clinical research 
•Example: 
•assess gender (male/female) differences in wellbeing: 
•Life 
•Job 
•Relationship 
Mental, etc 
 
 
That a MANOVA can handle more than one DV (multivariate), whereas ANOVAS (un...
Genes and behavior Questions and Answers Gra Genes and behavior Questions and Answers Grade A+ 2023 de A+ 2023
Nature - Nurture misunderstandings - -Cannot separate the effects of nature and 
nurture because both nature and nurture 
are essential. 
 
-Heritability is a ... - -Population statistic 
 
-Population statistic - -When we are talking about genetic and environmental influences on a trait - we are talking about a POPULATION STATISTIC rather than a single individual. 
 
we would ask to what extent do genetic / environmental influences account for individual differences in anxiety scores in the ...
- Exam (elaborations)
- • 27 pages •
Nature - Nurture misunderstandings - -Cannot separate the effects of nature and 
nurture because both nature and nurture 
are essential. 
 
-Heritability is a ... - -Population statistic 
 
-Population statistic - -When we are talking about genetic and environmental influences on a trait - we are talking about a POPULATION STATISTIC rather than a single individual. 
 
we would ask to what extent do genetic / environmental influences account for individual differences in anxiety scores in the ...
Chapter 14 - Big Data Analysis Questions and Answers Grade A+ 2023
Coding - -the process of assigning a numerical score or other character symbol to previously edited data. 
 
-Codes - -rules for interpreting, classifying, and recording data in the coding process; also, the actual numerical or other character symbols assigned to raw data. 
 
-Dummy coding - -Numeric "1" or "0" coding where each number represents an alternate response such as "female" or "male." 
 
-Effects coding - -An alternative to dummy cod- ing using the values of -1 and +1 to repre...
- Exam (elaborations)
- • 2 pages •
Coding - -the process of assigning a numerical score or other character symbol to previously edited data. 
 
-Codes - -rules for interpreting, classifying, and recording data in the coding process; also, the actual numerical or other character symbols assigned to raw data. 
 
-Dummy coding - -Numeric "1" or "0" coding where each number represents an alternate response such as "female" or "male." 
 
-Effects coding - -An alternative to dummy cod- ing using the values of -1 and +1 to repre...
ATLS Final Exam Questions and Answers Flashcards (Distinction Level)
BTEC Business Studies Unit 2 Developing a Marketing Campaign (Decreal Gear ) *distinction*
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