Question: SPSS - Discriminant Analysis Discriminant analysis can be defined as a statistical technique that can be used to classify individuals/cases into groups with respect to

SPSS - Discriminant Analysis

Discriminant analysis can be defined as a statistical technique that can be used to classify individuals/cases into groups with respect to one or more quantitative measures (predictor variables).

Question:

1)) Considering a synthesis of statistical findings derived from discriminant analysisto determine ifthere is a statistically significant difference between the number ofpublications in the last two years, grant funding (in $10,000) over the last five years, mean teacher ratings for the last three semesters, number of committees served on during last five years and the type of professors. Provide a synthesis that includes the following elements:

a)) Provide a description and defend the use ofthediscriminant analysistest (for example considering that the research question is to determine ifthere is a statistically significant difference between the number ofpublications in the last two years, grant funding (in $10,000) over the last five years, mean teacher ratings for the last three semesters, number of committees served on during last five years and the type of professors?) (Provide two comprehensive paragraphs drawing insights from the three references to support paragraphs.)

b)). Providean explanation of the differences and similarities of multiple regression analysis and discriminant analysis (support a comprehensive paragraph with insights from a peer-reviewed resource).

References,

Green, S. B., & Salkind, N. J. (2016).Using SPSS for Windows and Macintosh(8th ed.). Pearson Education (US).https://mbsdirect.vitalsource.com/books/9780134416441

Figueiredo, A., & Figueiredo, F. (2025). Discriminant analysis for a folded Watson distribution.Journal of Applied Statistics, 1-19. https://doi.org/10.1080/02664763.2025.2522769

Wang, Y., Wu, Z., & Wang, C. (2025). High dimensional discriminant analysis under weak sparsity.Communications in Statistics: Theory & Methods,54(9), 2657-2674. https://doi.org/10.1080/03610926.2024.2372065

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