R-Cas2 Assign

R- Case2 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:

1. Assess a measurement instruments and associated measurement models.

2. Assess relationships between variables in a regression, path, or structural model.

3. Understand that different statistical analysis software (tools) present different statistics.

Note: APA format is NOT required for any assignment in this class.

My notes:

My Hypothesis : The market demand and organizational culture defines innovation and performance in a company

Mdl2 - 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.

a. 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.

b. http://www.statisticshowto.com/reliability-validity-definitions-examples/

c. http://www.statisticshowto.com/experimental-design/

d. 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

e. https://www.escholar.manchester.ac.uk/api/datastream?publicationPid=uk-ac-man-scw:89555&datastreamId=FULL-TEXT.PDF

f. http://www.statisticssolutions.com/directory-of-statistical-analyses-regression-analysis/regression/

g. http://www.statisticssolutions.com/advantages-of-sem-over-regression/

h. http://cits.tamiu.edu/kock/NedWebArticles/Gefenetal2000.pdf