Editing

Writing

Statistics

Betsy Pearman
 

Elizabeth L. Pearman, Ph.D. has spent more than 17 years designing surveys, analyzing data using SAS and SPSS, programming SAS and SPSS, developing assessments for unique situations, research design, developing sampling frames, calculating sample size, program evaluation, qualitative design, and qualitative analysis.

 

Along with being an independent consultant in program evaluation, she teaches graduate classes Master's and Doctoral level research methods, qualitative methods, program evaluation, statistical programming, and lifespan development at the University of Northern Colorado for the Department of Applied Statistics and Research Methods and the Department of Educational Psychology.

 

Elizabeth has completed over 40 program evaluations for clients, made more than 40 presentations at national conferences, published articles in several different fields, and authored three books. She has served on 25 dissertation committees and has consulted with another 40+ doctoral students on design, statistics, statistical programming, conceptualization, and writing in fields diverse as: sports administration, special education, educational leadership, human rehabilitation, educational psychology, applied statistics, school psychology, music education, chemistry education, biology education, instructional technology, psychology, reading, early childhood, and others.

 

Her formal education includes a B.M. from the University of Missouri at Kansas City, an M.A. and Ph.D. from the University of Northern Colorado in Educational Psychology specializing in research methods, measurement/assessment, program evaluation and statistics.

 

Betsy can help you with all phases of your dissertation/thesis from conceptualizing the dissertation/thesis, use of qualitative methods, qualitative design, qualitative analysis or quantitative methods. Her statistical skills are extensive (descriptive, inferential, multivariate, regression analysis, factor and cluster analysis, and reliability and validity, etc.) along with expertise in survey/questionnaire design and development, methodology chapter editing, sampling techniques and sample size calculation, proposal development, defense preparation, web-based surveys, data entry, data editing, statistical programming, measurement/ assessment, data interpretation and understanding, experimental and quasi-experimental design, Internal Review Board applications, informed consent forms.

 

She can make statistics understandable, will help you develop and edit your methodology chapter, assist you in understanding your data, help you with formulating your research questions, and guide you from the conceptualization of your dissertation/thesis to the defense so you will learn and understand your data, results, and study.

Specialties

Educational Psychology

Program Evaluation

Research Methods

Statistics

Measurement


RESEARCH SKILLS:

  • Conceptualization of research, asking questions, what question to ask, how to use the data

  • Questionnaire or survey development (paper/pencil, telephone, Internet)

  • Knowledge and ability assessment

  • Survey creation, validity, reliability

  • Measurement selection, creating new measures, appropriateness

  • Research design (experimental, descriptive, survey, quasi-experimental)

  • Sampling  - all types and sample size determination

  • Descriptive statistics (Frequency, Distributions, Measures of central tendency, Measures of variability, Correlation, Chi Square)

  • Inferential/Multivariate (parametric and non-parametric) statistics (t-test, ANOVA, Factorial ANOVA, ANCOVA, MANOVA, MANCOVA, Discriminate, Factor Analysis, Cluster Analysis, Regression, Multiple Regression, Path Analysis, logistic regression, survival analysis, canonical correlation, and others)

  • Statistical interpretation of findings

  • Writing, organization, flow of content

  • Qualitative design, interviewing, focus groups, observation protocols, interview protocols, data analysis, reports

  • Outcomes identification, measurement, and analysis

  • Longitudinal research and analysis

 

Feedback
  
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