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Statistics

Jane Scott
 

Statistics Help Quantitative Analysis PsychologyDr. Jane Scott approaches statistics with the same motto that she uses in life: “Keep it simple and have fun with it!” Jane received her Ph.D. in Quantitative Psychology with an emphasis on personality psychology from the University of California. She teaches statistics for psychology at S. Pacific university, where they let her wear shorts and teach barefoot. Her students often leave her class amazed that they have come to like a subject of which they were initially frightened.

Jane can help you analyze your data and interpret the results using SAS, SPSS, or Minitab. She can help you understand, implement, and interpret statistical procedures such as t-tests (single-sample t-test, independent t-test, dependent or paired t-test), ANOVAs (one-way ANOVA, two-way ANOVA, repeated measures ANOVA, mixed ANOVA, MANOVA), correlation, chi-square, multivariate procedures (multiple regression, logistic regression, factor analysis, principal component analysis or PCA), and survival analysis, among others. She can also provide simple explanations for such statistical concepts as variance, standard deviation, z-scores and the normal distribution, the central limit theorem, type-I and type-II errors (alpha and beta), power, effect size, R-squared or the coefficient of determination, and the Pearson Product Moment Correlation Coefficient, as well as concepts from psychometrics such as reliability and validity.

Jane received her bachelor’s degree in English from the University of California, Berkeley, so she spent her undergraduate years developing her writing and communication skills which enable her to communicate mathematical concepts clearly. She loves to help students hone their methodology chapters, formulate clear hypotheses, and clearly articulate the appropriate analyses for testing each hypothesis. An animated teacher and public speaker, Jane can also help you develop effective Power Point presentations for classes or oral defenses.

Specialties

Statistical Skills

Statistics: t-tests, ANOVA, MANOVA, correlation, regression, logistic regression, chi-square, multivariate statistical analysis, factor analysis, structural equation modeling, survival analysis. 

Statistical Software: SAS, SPSS, Minitab


Teaching Experience

Current:
Instructor for: Survey of Psychology, Summer 2007; Survey of Psychology and Statistics, Spring 2007; Survey of Psychology and two sections of Statistics, Fall 2006; Survey of Psychology, Summer 2006; Two sections of Statistics, Spring, 2006; Two sections of Statistics, Fall 2005;Research Methods and two sections of Statistics, Spring 2005.

At UC Davis:
Instructor for: General Psychology, Spring 2004, Winter 2004, Fall 2003, Summer 2003, Winter 2003.
Completed: The Teaching of Psychology (a graduate level course providing instruction and experience in teaching General Psychology, Spring 2002).
Teaching assistant for the following graduate courses: Psychometrics, Causal Modeling, and Multivariate Analysis
Teaching assistant for the following undergraduate courses: General Psychology, Research Methods, Emotion and Feeling, Advanced Research Design and Statistics, and Psychometrics.
Instructor for weekly lab sections for the following undergraduate courses: Research Methods, and Advanced Research Design and Statistics.

Manuscripts
(Details on request)

Detecting malingering and deception in forensic evaluations. In Hall, H. V. (Ed.), Forensic Psychology and Neuropsychology for Criminal and Civil Cases. Boca Raton, Florida: CRC Press. 

Deception in criminal contexts. In Hall, H. V. (Ed.), Forensic Psychology and Neuropsychology for Criminal and Civil Cases. Boca Raton, Florida: CRC Press. 

Malingered pain and memory deficits in civil-forensic contexts. In Hall, H. V. (Ed.), Forensic Psychology and Neuropsychology for Criminal and Civil Cases. Boca Raton, Florida: CRC Press. 

Detecting deception in neuropsychological cases: Towards an applied model. The Forensic Examiner.

Explicit alternative testing (EAT): Application of the binomial probability distribution to clinical-forensic evaluations. The Forensic Examiner, 16, (1), 38-43.

A monte carlo comparison of tests for the number of factors under alternative factor models. (Doctoral dissertation, //.il.proquest.com/umi). Dissertation Abstracts International: Section B: The Sciences and Engineering, 65 (6-B), 3218.

On the proper null model for incremental fit indices in structural equation modeling. Psychological Methods, 8, 16-37.

Using IRT to separate measurement bias from true group differences on homogeneous and heterogeneous scales: An illustration with the MMPI. Psychological Methods, 5, 125-146.

Unpublished Manuscripts

Identifying persons as having mental retardation: A simulation study. Unpublished paper written for the National Research Council, Committee on Disability Determination for Mental Retardation. Department of Psychology, University of California, Davis. 

Professional Presentations

A Monte Carlo comparison of tests for the number of factors under alternative factor models. Poster presented at the Meeting of the Society for Personality and Social Psychology, Memphis, TN.

Taxometric analyses of PTSD. Talk delivered at the 1998 Meeting of the International Society for Traumatic Stress Studies, Washington, DC.

Manuscripts and Chapters in Preparation and Under Review

Reciprocal relationships among illness, anxiety, and depression in young adults.

A Monte Carlo comparison of tests for the number of dimensions under alternative factor models..

 

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