Dr. 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, structural equation modeling or SEM), 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.
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..
Feedback
"I would most definitely recommend Jane to anyone requiring help of this kind. She was simply wonderful. I teach, have young children and am finishing my masters. The process of writing my thesis has been a great learning experience, however I do not have a deep understanding of statistics and what test to use when. I am so thankful to have found this service! The time saved is worth every penny. My kids are ready to have Mommy off the computer!" — Contact information on request
"Jane was outstanding to work with. She was incredibly patient, helpful, and amazingly quick to respond and perform services. She turned the products around within one day of each request, and went above and beyond to help me. She saved my life! I was drowning in data and not sure which way to go before I started working with her, and within one week my results chapter of my dissertation was complete- I could have never done it so quickly without her help. I highly recommend her." — Contact information on request
"Jane was very helpful. She explained her work thoroughly, and answered all my questions clearly. She was easy to contact, and responded to my queries promptly. I am very satisfied with her work and would recommend her for anyone in need of help with data analysis." — Contact information on request
"Jane was an incredible help. She was organized, responsive, and incredibly knowledgeable about statistics. She explained everything clearly and made the process very pleasant. She was lovely to work with." — (Contact information on request)
"I was under a very short time constraint (about one week) and Jane was very quick and efficient. She was easily accessible through email and had the results finished in record time." — Michele Vazquez
"Dr. Scott is wonderful! She addressed my needs effectively and was extremely efficient. She understood my project and what type of statistical analysis was best for my particular research. I would highly recommend her services. I was very grateful to have found her and was very relieved that she assisted me with this part of my research project. Once I listed my needs on the web site the response was very prompt. Over I am 100% satisfied with both the web site and services I received." — (Contact information on request)
"Jane was a helpful, reliable source and assisted me with whatever questions and concerns I had about the type of data that would help to make my thesis a comprehensive document. She also helped in drafting a better research question which really helped when explaining the purpose of my project." — (Contact information on request)
"Jane was awesome! She was always available and pleasant. She offered creative solutions to complicated problems and went over and above anything I was anticipating. She was always friendly, professional, and ALWAYS responded promptly — even to last minute requests. I would recommend Jane's services to all of my fellow graduate and PhD students!" — Kelly (contact information on request)
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Dr. 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. 
