Reference no: EM132167703
Instructions
This document should not exceed 7 pages single space.
1) Before addressing anything in the papers, please discuss the following general concepts. Please find and provide references.
a. Measuring variables/constructs.
What do we mean by the overall concept of the measurement model?
What is Indicator Reliability, how is it measured, and what is an acceptable criteria?
What is Construct Internal Consistency Reliability, how is it measured, and what is an acceptable criteria?
What is the difference between the two and why are they important?
What do we mean by the overall concept of measurement model validity?
What is Convergent Validity, how is it measured, and what is an acceptable criteria?
What is Discriminant Validity, how is it measured, and what is an acceptable criteria?
What is the difference between the convergent and discriminant validity and why are they important?
What is a 1st Order Construct and 2nd Order Construct?
What is the difference in terms of indicators? I.e. Does a 2nd order construct have indicators? If, so under what conditions?
b. Relationships between constructs via regression modeling, path modeling, or structural modeling.
What is Explained Variance? What does it apply to i.e what type of variable? What is the Statistic used? What is an acceptable level?
What is Effect Size? What does it apply to? What are possible statistics used? What are acceptable levels?
For a regression model - what is statistic used measure the general relationship between two variables? What are acceptable Levels?
For a path model or structural model what is the statistics used to measure the relationship between two variables? What are acceptable Levels?
What are some differences between the statistic used in regression model and the one in the path or structural model?
c. If the measurement model comes up acceptable and the relationships between variables (variance, effect size, and regression/path statistic) are acceptable, what does this indicate about the hypothesis they are testing?
The remainder of the questions are related to the papers identified.
Review of: [provide full reference of each paper]
2) What are the major variables being studied, how many indicators are there, are they reflective or formative?
The first variables are examples.
Which paper addressed more "measurement and or regression" statistics? I.e. Did one address more than the other?
Which paper is therefore more rigorous in testing hypothesis from an inferential statistics perspective (i.e. as opposed to from a theoretical proposition perspective)?
Attachment:- Case Review.rar