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R- Case 2 Assignment
MEASUREMENT INSTRUMENT AND VARIABLE RELATIONSHIPS ASSESSMENTS IN SUPPORT OF HYPOTHESIS TESTING
Assignment Overview
This Case Assignment starts with a general understanding of how measurement instruments and variable relationships are assessed. That knowledge is applied to the assessment of two papers.
Important: Through this exercise, we will see that not every researcher uses the same tools to assess their research models. They also do not cover (address) all possible statistics when assessing their collected data. This is normal and leads to comparisons of which study was more rigorous that the other.
Case Assignment
After reviewing the required readings found in the module background section, obtain the following documents through the T-University Online Library.
Shen, J. & Eder, L. B, (2009), Exploring Intentions to Use Virtual Worlds for Business, Journal of Electronic Commerce Research, VOL 10, NO 2
Jyoti, J., and Dev, M. (2015). The impact of transformational leadership on employee creativity: the role of learning orientation, Journal of Asia Business Studies, 9(1).
Go to the Module 2 Case Shell and address the questions identified within. The first part of the assignment uses the background reading. The second part uses the documents above. Upload your completed document to the Case 2 Dropbox.
Assignment Expectations
Students will be able to:
- Assess a measurement instruments and associated measurement models.
- Assess relationships between variables in a regression, path, or structural model.
- Understand that different statistical analysis software (tools) present different statistics.
Note: APA format is NOT required for any assignment in this class.
My notes: prof feedback
My Hypothesis: The market demand and organizational culture defines innovation and performance in a company
use required reading REFERENCE article “a.” – i.e. the second required reading in the background section, which actually has all the answers highlighted as well as tables with the acceptable criteria.
The instructions for the background reading explain that MOST of the answers to the case are found in the first two reference/required reading articles.
use the template provided for Case 2.
Please use the template and add your answers below the questions.
I especially need you to put the answers into the TABLES for part 2.
Mdl 2 – Background
MEASUREMENT INSTRUMENT AND VARIABLE RELATIONSHIPS ASSESSMENTS IN SUPPORT OF HYPOTHESIS TESTING
Important: Look at the Module 2 Case Assignment questions before reading the material below so you know what to focus on. The answers to most of the questions are found inside the first two readings.
Required Reading
Skim through Chapters 6–8 of the following online book:
http://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=1002&context=oa_textbooks
Read the following Web pages and articles:
Note that a number of the answers to the Module 2 Case are found in the first two articles.
- Urbach, N. and Ahlemann, F. (2010). Structural Equation Modeling in Information Systems Research Using Partial Least Squares, Journal of Information Technology and Applied Theory, 11(2), 5-40.
- http://www.statisticshowto.com/reliability-validity-definitions-examples/
- http://www.statisticshowto.com/experimental-design/
- Gefen, David; Straub, Detmar; and Boudreau, Marie-Claude (2000) “Structural Equation Modeling and Regression: Guidelines for Research Practice,” Communications of the Association for Information Systems: Vol. 4, Article 7
- https://www.escholar.manchester.ac.uk/api/datastream?publicationPid=uk-ac-man-scw:89555&datastreamId=FULL-TEXT.PDF
- http://www.statisticssolutions.com/directory-of-statistical-analyses-regression-analysis/regression/
- http://www.statisticssolutions.com/advantages-of-sem-over-regression/
- http://cits.tamiu.edu/kock/NedWebArticles/Gefenetal2000.pdf
TInternational
RES 610
Module 2 Case
Measurement Models and Variable Relationships
ADD YOUR NAME HERE
Professor Jose Angeles
Read the background information
Analyze the 2 articles using the RES610 Module 2 Case Article Review Form and be ready to discuss the paper in our live session.
Please use these papers:
Jyoti, J., & Dev, M. (2015). The impact of transformational leadership on employee creativity: The role of learning orientation. Journal of Asia Business Studies, 9(1), 78-98. Retrieved from http://search.proquest.com/docview/1690464000?accountid=28844
Shen, J., & Eder, L. B. (2009). EXPLORING INTENTIONS TO USE VIRTUAL WORLDS FOR BUSINESS. Journal of Electronic Commerce Research, 10(2), 94-103. Retrieved from http://search.proquest.com/docview/236665345?accountid=28844
Instructions
Make sure your answers are straight to the point. This document should not exceed 7 pages single space.
- Before addressing anything in the papers, please discuss the following general concepts. Please find and provide references.
- 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?
- 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?
- 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]
- What are the major variables being studied, how many indicators are there, are they reflective or formative?
The first variables are examples.
EXPLORING INTENTIONS TO USE VIRTUAL WORLDS FOR BUSINESS | ||
Name of Variable | # of Indicators or Sub-dimensions | Reflective or Formative |
Perceived Ease of Use | 3 Indicators | Reflective |
The impact of transformational leadership on employee creativity: the role of learning orientation | ||
Transformation Leadership | 4 Sub Dimensions | Reflective |
Employee Outcome | 4 indicators | Reflective |
EXPLORING INTENTIONS TO USE VIRTUAL WORLDS FOR BUSINESS | The impact of transformational leadership on employee creativity: the role of learning orientation |
What Tool (software) was used to Test the Model.
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What Tool (software) was used to Test the Model.
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Reliability | |
How was Indicator Reliability tested and what statistics did they use?
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How was Indicator Reliability tested and what statistics did they use?
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How was construct internal consistence reliability tested and what statistics did they use?
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How was construct internal consistence reliability tested and what statistics did they use?
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Validity | |
How was convergent validity tested and what statistics did they use?
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How was convergent validity tested and what statistics did they use?
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How was discriminant validity tested and what statistics did they use?
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How was discriminant validity tested and what statistics did they use?
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Path or Structural Relationship | |
Was Explained Variance for appropriate variables addressed? What was the statistic used?
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Was Explained Variance for appropriate variables addressed? What was the statistic used?
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Was Effect Size between appropriate variables addressed? What was the statistic used?
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Was Effect Size between appropriate variables addressed? What was the statistic used?
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What statistic was used to articulate the relationship between the variables?
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What statistic was used to articulate the relationship between the variables?
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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)?