Don Rose and Cam Patterson
- Published in print:
- 2016
- Published Online:
- May 2016
- ISBN:
- 9781469625263
- eISBN:
- 9781469625287
- Item type:
- chapter
- Publisher:
- University of North Carolina Press
- DOI:
- 10.5149/northcarolina/9781469625263.003.0005
- Subject:
- Business and Management, Innovation
Three case studies are presented to demonstrate the key steps discussed in Chapter 3. The case studies are (fictitious) examples of university startups, covering the range of startups typically found ...
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Three case studies are presented to demonstrate the key steps discussed in Chapter 3. The case studies are (fictitious) examples of university startups, covering the range of startups typically found spinning out of university. Oncotica is developing a drug for cancer. They required many years, significant capital, and diversity to get the product on the market. SensorLogix is developing a sensor to monitor gases in a variety of environments, from home to work to the outside air. They pursue partners in trying to get their product on the market. Cylent provides a software solution for servers.Less
Three case studies are presented to demonstrate the key steps discussed in Chapter 3. The case studies are (fictitious) examples of university startups, covering the range of startups typically found spinning out of university. Oncotica is developing a drug for cancer. They required many years, significant capital, and diversity to get the product on the market. SensorLogix is developing a sensor to monitor gases in a variety of environments, from home to work to the outside air. They pursue partners in trying to get their product on the market. Cylent provides a software solution for servers.
David M. Day and Margit Wiesner
- Published in print:
- 2019
- Published Online:
- January 2020
- ISBN:
- 9781479880058
- eISBN:
- 9781479888276
- Item type:
- chapter
- Publisher:
- NYU Press
- DOI:
- 10.18574/nyu/9781479880058.003.0004
- Subject:
- Psychology, Social Psychology
In spite of the tremendous growth in trajectory research over the past 25 years, the trajectory methodology is not without controversy. Debates and controversies remain a central feature of the ...
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In spite of the tremendous growth in trajectory research over the past 25 years, the trajectory methodology is not without controversy. Debates and controversies remain a central feature of the literature. This chapter presents an overview of the major controversial issues and provides guidelines and suggestions for moving the research forward with greater clarity and reduced confusion. This chapter also picks up on the discussion of model-building considerations introduced in Chapter 2. Specifically, issues pertaining to (a) statistical criteria for class enumeration; (b) distributional issues, model misspecification, and overextraction of trajectory classes; (c) dependency on antecedents and covariates; and (d) robustness or sensitivity of trajectory solutions in relation to various methodological factors are detailed.Less
In spite of the tremendous growth in trajectory research over the past 25 years, the trajectory methodology is not without controversy. Debates and controversies remain a central feature of the literature. This chapter presents an overview of the major controversial issues and provides guidelines and suggestions for moving the research forward with greater clarity and reduced confusion. This chapter also picks up on the discussion of model-building considerations introduced in Chapter 2. Specifically, issues pertaining to (a) statistical criteria for class enumeration; (b) distributional issues, model misspecification, and overextraction of trajectory classes; (c) dependency on antecedents and covariates; and (d) robustness or sensitivity of trajectory solutions in relation to various methodological factors are detailed.
