English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

xi Chapter 1: Introduction  1 1.1 The Development of the Study  3 Chapter 2: Literature Review: The Evolution of Discrete-Choice Models  6 2.1 Exploring the Problem  6 2.2 Student Preferences  7 2.3 The Development of LCA  8 2.3.1 Discrete Choice Experiments  8 2.3.2 Random Utility Theory  11 2.4 Preceding Latent Class Analysis  13 2.5 Latent-Class Analysis  14 Chapter 3: Survey Methods & Design  17 3.1 The Data & Survey Instrument  17 3.1.1 Attributes & Covariates  19 3.2 Designing a Discrete Choice Experiment  21 3.2.1 Design Efficiency Criteria  22 3.3 LGC Software  24 Chapter 4: Model specification, Estimation, and Results  25 4.1 The Latent Class Model  25 4.1.1 Random Utility Model  26 4.2 Estimating Parameters  29 4.2.1 Maximum-Likelihood and the E-M Algorithm  29 4.2.2 Marginal Utilities and Marginal Rates of Substitution  30 v 4.2.3 Information Criterion Tables & Class Estimation  30 4.3 Results  33 4.3.1 Selecting the Final Model  33 4.3.2 Interpreting the Final Model  35 Model Explanatory Power  36 4.3.3 Model Estimation  38 4.3.4 Student Tradeoffs  41 4.4 Class Descriptions  42 4.5 Student Awareness Analysis  45 Chapter 5: Discussion  47 5.1 Attracting Class-specific Individuals  47 5.2 Study Recommendations  49 5.3 Increasing Student Awareness  51 Additional Recommendations  52 Future Studies  53 References  54 Works Consulted  62 Appendices  66 Appendix A: MTU Enrollment Numbers  66 Appendix B: Investigating Random Choice Responses  67 Appendix C: Survey Versions 1-3  68 Appendix D: Latent Gold Choice  75 Choice Format  75 Conditional Probabilities  75 Appendix E: LGC Files: Design Matrix and Choice Sets  77 Choice Sets  79 Alternative File  79 Appendix F: Student Awareness Correlations  82 Appendix G: The Bootstrap Likelihood Ratio Test (BLRT)  84 Appendix H: Parameter Estimates  85 Appendix I: Descriptive Statistics  88 Appendix J: Response Frequencies  90 vi Summary of Survey Frequencies  90 NRE Awareness Questions  90 Attribute Response Frequencies  92 Appendix K: Crosstabs Analysis  94 Appendix L: Sampled Courses Summary  95

A latent-class discrete-choice model to demonstrate how course attributes and student characteristics influence demand for economics electives: the challenge to increase enrollment