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5.0
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| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
PSYC 5312 Danielle Fearon | |||||
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| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
PSYC 5312 Danielle Fearon | |||||
Danielle Fearon
[email protected]Grades: 1,035
Median GPA: A
Mean GPA: 3.602
3.7
Professor rating
1.6
Difficulty
14
Ratings given
79%
Would take again
Introductory Research Methods in Behavioral and Brain Sciences - Part I
PSYC 5312
School of Behavioral and Brain Sciences
This course reviews basic concepts in research design and statistical analysis in a behavioral science context. Students learn null hypothesis significance testing and how to implement and interpret several statistical analyses involving Analysis of Variance (ANOVA; e.g., single-factor and factorial between-subjects ANOVA) and regression (e.g., simple and multiple regression). The course provides students with an understanding of the interrelationships among statistical techniques, and computer skills required for data analyses. Students without the necessary background knowledge of basic statistics and experimental design will be required to take PSY 3392 before registering for ACN 5312. Lecture. Offered annually. 3 credit hours.
Prerequisites: BBSC majors only and department consent required.
Offering Frequency: Each year
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
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Danielle Fearon
[email protected]Grades: 1,035
Median GPA: A
Mean GPA: 3.602
3.7
Professor rating
1.6
Difficulty
14
Ratings given
79%
Would take again
Introductory Research Methods in Behavioral and Brain Sciences - Part I
PSYC 5312
School of Behavioral and Brain Sciences
This course reviews basic concepts in research design and statistical analysis in a behavioral science context. Students learn null hypothesis significance testing and how to implement and interpret several statistical analyses involving Analysis of Variance (ANOVA; e.g., single-factor and factorial between-subjects ANOVA) and regression (e.g., simple and multiple regression). The course provides students with an understanding of the interrelationships among statistical techniques, and computer skills required for data analyses. Students without the necessary background knowledge of basic statistics and experimental design will be required to take PSY 3392 before registering for ACN 5312. Lecture. Offered annually. 3 credit hours.
Prerequisites: BBSC majors only and department consent required.
Offering Frequency: Each year
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
Click a checkbox to add something to compare.