Dr. Victoria Briones – Statistics and Data Analysis

statistician Dr. Victoria Briones

DR. VICTORIA BRIONES graduated with a Ph.D. in Organizational Psychology from Columbia University. While completing her graduate studies, she taught applied regression analysis to graduate students in education and psychology. Students enjoyed her regression course because she was able to translate complex statistical concepts into a language that the”stats phobic” students could easily understand. Victoria was also an assistant lecturer in research methods (and received the highest mean evaluation for teaching performance). After graduating, she was a research fellow at Harvard University’s Kennedy School of Government. As a fellow, she conducted statistical analyses and wrote articles on negotiation behavior and conflict resolution with her former dissertation adviser.

In the last two years, Victoria has worked as a statistical consultant, helping graduate students in psychology, education, nursing, biology, and business hone their study hypotheses, arrive at better operational definitions of their study variables, and improve procedures to increase the internal and/or external validity of their study. She also performed general statistical procedures such as reliability analyses, non-parametric tests (e.g., Mann-Whitney, Kruskal-Wallis, and chi-square tests), t-tests, analysis of variance (ANOVA), analysis of covariance (ANCOVA), exploratory factor analysis (EFA), and linear regression. Further, she conducted multivariate tests such as multivariate analysis of variance (MANOVA), logistic regression, and structural equation modeling (SEM; using AMOS, LISREL, and EQS). Victoria also created summary tables and graphs of statistical findings and helped students interpret their study results. More importantly, she enjoyed explaining basic statistical procedures and findings to clients who had a limited understanding of such concepts.

Subject Scope

Research methods, reliability analyses, t-tests, ANOVA, repeated-measures ANOVA, ANCOVA, exploratory and confirmatory factor analyses, multiple linear regression, logistic regression, MANOVA, structural equation modeling (AMOS, LISREL, and EQS), SPSS, psychology research methods, Microsoft Word, PowerPoint, and Excel.

Experience

Psychometrics Consultant

  • Evaluated and edited methodology sections for dissertations.
  • Conducted general statistical procedures such as t-tests, analysis of variance, analysis of covariance, and linear regression. Conducted higher level statistical tests such as multivariate analysis of variance, logistic regression, hierarchical linear modeling, and structural equation modeling (using AMOS, LISREL, and EQS). Summarized, interpreted, and explained findings to clients who had a limited understanding of statistical procedures.

Harvard University’s Kennedy School of Government, Massachusetts.
Research Fellow

  • Wrote negotiation-related articles for conferences and journals.
  • Conducted statistical analyses for studies on multi-rater feedback on negotiation behavior. Summarized findings from resulting analyses.

Columbia University’s Teachers College, New York.
Lecturer for Applied Regression Course – Dept. of Statistics and Measurement.

  • Designed and taught a graduate level applied regression course.
  • Developed SPSS-based exercises to facilitate students’ learning of the regression program. Constructed several instruments to assess students’ learning and comprehension of regression concepts. Assistant Lecturer for Research Methods Course – Dept. of Organization and Leadership.
  • Designed a data interpretation instrument to assess students’ understanding of basic experimental concepts.
  • Developed and implemented several group exercises to facilitate students’ application of basic concepts to actual research cases. Received the highest mean evaluation rating (among a group of 7) for teaching performance.

Columbia University’s Teachers College, New York.
Organizational Development Consultant – Dept. of Organization and Leadership.

  • Developed an interview protocol and conducted interviews to assess an international medical manufacturing firm’s general functioning. Offered diagnoses and suggested strategic changes to help the manufacturing firm achieve its goals and objectives.

Columbia University’s Graduate School of Business, New York.
Organizational Development Consultant

  • Summarized results from several focus group sessions and offered diagnoses to a group of top executives at a publishing company.
  • Developed tools to help top management prioritize its myriad of problems and to develop a specific action plan to deal with their problems. Designed a proposal to improve customer service within the company.

Ateneo de Manila University, Quezon City, Philippines.

Instructor – Department of Psychology.

  • Published an article, “Political Psychology in the Philippines” in the journal Political Psychology.
  • Designed and taught a Cognitive Psychology course at the graduate level and Experimental Psychology, History of Psychology, and General Psychology courses at the undergraduate level.

 

Education

Columbia University, New York, NY.
M.A. in Organizational Psychology, May 1995.
Ph.D. in Social-Organizational Psychology, May 2001.

Ateneo de Manila University, Philippines.
B.S. in Psychology, 1985.

Feedback

“Victoria was incredibly responsive and helpful, clearly explaining what we needed to do and what she did for us. She was fantastic.” – Steve Rouse

“Victoria was so helpful. She responded quickly to all of my questions. For example, she assisted me with responding to an IRB question requesting a formal power analysis. With Victoria’s help, I had approval to proceed with my data collection in a matter of hours after I submitted my response.” (On file with Network Coordinator)

“She is the best stat consultant. I could not finish my dissertation without her. She is available almost 24 hours and responded to all of my questions. She returned my work so quickly. Her explanation was always clear and accurate even though I am not good at stat. She is so patient for explaining every detail stat question. She is amazing!” —(Contact information on request)

“Victoria was very knowledgeable and was able to help me with all of my statistical needs in a timely, efficient manner. I was very satisfied with her services.” —(Contact information on request)

“Victoria was very professional and prompt in her service delivery. She had a command of the updated literature. I was very comfortable that she knew the current trends in the statistics I needed to use for my dissertation. She was extremely thorough and answered all of my questions in language I could comprehend. I would recommend Victoria to any graduate students who need help with advanced statistics for their projects.” —(Contact information on request)

“Service received: Dissertation Statistical Analysis. I found the timely completion of analyses and quick responses to my questions to be most valuable. I was amazed at how quickly the project was completed. The consultant was also very willing to answer my detailed questions and provide me with additional copies of the output files.” —Student, Indiana University of PA (contact information on request)

“She was wonderful. I was having difficulty putting all the information together and she just cleared things up for me. My stress level has definitely gotten better!” —Jonda Hennosy

4 thoughts on “Dr. Victoria Briones – Statistics and Data Analysis

  • November 24, 2016 at 5:29 am
    Permalink

    Hope this e mail finds you very well. I am a PhD student and I am conducting an interventional educational study to
    improve knowledge, attitude, and awareness and reduce the prevalence of
    antibiotic use without doctor’s prescription.

    It is a randomized control trail. However, I am having a difficulty in doing
    the randomization and blindness technique.

    The situation is following:

    I am conducting the educational intervention on first year dental student.
    To minimize cross contamination between intervention and control groups, I
    have selected the control group in different place which first year pharmacy
    students.

    First I selected intervention and control from only first year dental
    students, but it was obvious that cross

    contamination is one limitation, then I tried to select female as
    intervention and males as control but I will be bias because the lit.
    review clearly state that girls are more keen to learn that males
    counterparts.

    The only option I have is to take control place which is pharmacy student.
    The problem is to make sure that the academic courses of both pharmacy and
    dentistry are similar in terms of there is no courses about antibiotic use
    such as pharmacology . I confirmed from the academic curriculum that there
    is no pharmacology in both colleges for first year students.

    Second, there is a need to make sure that the baseline assessment is similar
    in terms of knowledge, attitude and awareness. I am entering the data and will see.

    In the college of dentistry, found that there is 12 histology labs, 8 labs
    for females and 4 males (separated ( each of 18-24 students) and on 8
    separated histology labs, 5 females and 3 males in the college of pharmacy
    ( each of 20-24 students ) so I invited all students to participate in a
    screening test to see the prevalence of antibiotic’s users without doctor’s
    prescription, I have found that there is 75 users dental students and 70
    pharmacy students then i was thinking of made the dental students as
    intervention group (boy and girls ) and pharmacy students ( boys and girls )
    as control

    Once i thought of making the dental students as Intervention and the pharmacy
    students as Control, one biostatician here told the design is now look like
    a case control study design and not as RCT !!

    While other one advised me to think about cluster RCT design, where I
    consider all the female students in one medical cluster and male students in
    the other cluster, Then I will stratify by lab-practical session to select a
    random Invention and control from females pool and male pool. I am not sure
    how as I do not have the experience.

    Sample size calculation was based on a reduction in the use of antibiotics
    with out doctor’s prescription by 25% and drop out by 10%.

    I need your assistance within 7 days please and how much your fees is ?

    Thank you

    Best wishes,

    Reply
  • November 24, 2016 at 5:30 am
    Permalink

    Hope this e mail finds you very well. I am a PhD student and I am conducting an interventional educational study to improve knowledge, attitude, and awareness and reduce the prevalence of
    antibiotic use without doctor’s prescription.

    It is a randomized control trail. However, I am having a difficulty in doing
    the randomization and blindness technique.

    The situation is following:

    I am conducting the educational intervention on first year dental student.
    To minimize cross contamination between intervention and control groups, I
    have selected the control group in different place which first year pharmacy
    students.

    First I selected intervention and control from only first year dental
    students, but it was obvious that cross contamination is one limitation, then I tried to select female as intervention and males as control but I will be bias because the lit.
    review clearly state that girls are more keen to learn that males
    counterparts.

    The only option I have is to take control place which is pharmacy student.
    The problem is to make sure that the academic courses of both pharmacy and
    dentistry are similar in terms of there is no courses about antibiotic use
    such as pharmacology . I confirmed from the academic curriculum that there
    is no pharmacology in both colleges for first year students.

    Second, there is a need to make sure that the baseline assessment is similar
    in terms of knowledge, attitude and awareness. I am entering the data and will see.

    In the college of dentistry, found that there is 12 histology labs, 8 labs
    for females and 4 males (separated ( each of 18-24 students) and on 8
    separated histology labs, 5 females and 3 males in the college of pharmacy
    ( each of 20-24 students ) so I invited all students to participate in a
    screening test to see the prevalence of antibiotic’s users without doctor’s
    prescription, I have found that there is 75 users dental students and 70
    pharmacy students then i was thinking of made the dental students as
    intervention group (boy and girls ) and pharmacy students ( boys and girls )
    as control

    Once i thought of making the dental students as Intervention and the pharmacy
    students as Control, one biostatician here told the design is now look like
    a case control study design and not as RCT !!

    While other one advised me to think about cluster RCT design, where I
    consider all the female students in one medical cluster and male students in
    the other cluster, Then I will stratify by lab-practical session to select a
    random Invention and control from females pool and male pool. I am not sure
    how as I do not have the experience.

    Sample size calculation was based on a reduction in the use of antibiotics
    with out doctor’s prescription by 25% and drop out by 10%.

    I need your assistance within 7 days please and how much your fees is ?

    Thank you

    Best wishes,

    Reply
  • June 4, 2017 at 4:11 am
    Permalink

    I need your assistance with my dissertation. To analyse content analysis of newspaper articles

    Reply
    • June 4, 2017 at 6:01 am
      Permalink

      You will have a reply from a dissertation statistician some time today.
      Network Coordinator

      Reply

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