AMSTAT Consulting’s Expertise
AMSTAT Consulting has become nationally recognized for helping hundreds of thousands of doctoral candidates complete the dissertation process. Hundreds of thousands of successful doctoral students cite these reasons for choosing to work with AMSTAT Consulting:
- All of our principals have Ph.D. in statistics at leading universities including Harvard, Stanford, and Columbia.
- They include talented professors. They serve on graduate thesis and dissertation committees.
- They have extensive backgrounds in statistics and over 100 years of practical experience in quantitative and qualitative methods.
- They have over 100 years of practical experience in editing.
- They have expertise in the specific requirements at major online universities such as Capella, Walden, Argosy, University of Phoenix, Nova, Grand Canyon University and California Southern University.
- They are experts in statistical programming languages such as SAS, SPSS, STATA, HLM, Mplus, R, Access, NVivo 10, Nud*ist, HyperResearch, and Atlas.
- They are experts in statistical analysis such as t-test, ANOVA, traditional regression, logistic regression, MANCOVA, factor analysis, cluster analysis, survival analysis, time series analysis, canonical correlations, discriminant analysis, and more advanced statistical techniques such as structural equation modeling (SEM), hierarchical linear modeling (HLM), and path analysis.
- We are more reasonably priced than most other consultants offering dissertation help.
- We offer ultra-fast turnaround times, often completing sections within 4-6 business days.
- We offer personalized, comprehensive, and friendly support during and after your consultation with us.
- We are highly recommended by the Association for Support of Graduate Students, and we are members in good standing of the Statistical Consulting section of the American Statistical Association.
- We customize our help to assist you in specifying your methodology.
- We offer personalized, comprehensive, and friendly support during and after your consultation with us.
- We participate in the preparation of all five chapters of your dissertation.
We are happy to provide the help you need at any or all of the following steps in earning the data-based answers you request:
- Establishing and operationalizing your hypotheses and research questions
- Providing ample instruction on the methods used
- Providing assistance crafting and creating your methodology section
- Implementing the statistical analyses
- Writing up all results, including APA tables and figures
- Assisting you seeking dissertation writing help with your introduction and discussion chapters
- Offering comprehensive dissertation writing help to you seeking creation or enhancement of your literature reviews
- Performing qualitative analysis
- Providing expert editing services to you
- Testing reliability (such as Cronbach’s alpha, test-retest reliability, split-half reliability, and inter-rater reliability) and validity (such as content validity, construct validity, criterion validity, internal validity, and external validity)
- Explaining the results so you can write the discussion section and defend them
- Allowing unlimited e-mail and phone support
- Preparing an effective PowerPoint Presentation
- Supporting until project is complete
We can design and perform the required statistical analyses. Here is a sample of some of the analytical tools with which we are familiar:
- Correlation Analysis
- Traditional Regression
- Multiple Regression Analysis
- Logistic Regression
- Factor Analysis
- Cluster Analysis
- Time Series Analysis
- Survival Analysis
- Canonical Correlations
- Discriminant Analysis
- Structural Equation Modeling (SEM)
- Hierarchical Linear Modeling (HLM)
- Path Analysis
- Bayesian analysis
- Descriptive Statistics
- Discrepancy Analysis
- Friedman two-way ANOVA (analysis of variance)
- Futility Analysis
- Hierarchical Linear Modeling
- Intraclass Correlation Coefficient
- Interim Analysis
- Item Analysis
- Kruskal-Wallace one-way analysis of variance (ANOVA)
- Latent Variable Analysis
- Longitudinal Growth Modeling
- Mann-Whitney U
- Multidimensional Scaling
- Multilevel Path Modeling/Multilevel Structural Equation Modeling
- Multivariate Logistic Regression
- Power Analysis
- Raking Data
- Tau-U Analysis
- Transformations for normality or linearity
- Trend Analysis
- Wilcoxon signed-rank test
We have expertise in virtually every statistical and qualitative software package, including but not limited to:
Our experience enables us to work with you to enhance your dissertation’s introduction chapter, assisting with:
- Stating the research problem. – We can summarize evidence of consensus that the problem is current, relevant, and significant to the discipline. Frame the problem in a way that builds upon or counters previous research findings focusing primarily on research conducted in the last five years. We can address a meaningful gap in the current research literature.
- Stating the purpose of the study – We can ensure that the study problem, purpose, research questions and design are aligned.
- Stating the research questions – We can state the null and alternative hypotheses that identify the independent and dependent variables being studied, the association being tested, and how the variables are being measured. We can ensure that the study problem, purpose, research questions and design are aligned.
- Providing a concise rationale for selection of the design and/ or tradition – We can summarize the methodology (from whom and how data are collected and how data will be analyzed).
- Identifying potential contributions of the study that advance knowledge in the discipline.
Our experience enables us to work with you to enhance your dissertation’s literature review chapter, assisting with:
- Identifying the theory or theories and provide the origin or source – We can state concisely the major theoretical propositions and/or major hypotheses. We can explain how the theory relates to the study approach and research questions.
- Describing studies related to the constructs of interest and chosen methodology and methods that are consistent with the scope of the study.
- Describing ways researchers in the discipline have approached the problem and the strengths and weakness inherent in their approaches.
- Justifying from the literature the rationale for selection of the variables or concepts.
- Reviewing and synthesizing studies related to the key concepts and/or phenomena under investigation to produce a description of what is known about them, what is controversial, and what remains to be studied.
- Reviewing and synthesizing studies related to the research questions and why the approach selected is meaningful.
Our experience enables us to work with you to enhance your dissertation’s methods section, assisting with:
- Stating the study variables (e.g., independent, dependent), as appropriate – We can identify the research design and its connection to the research questions. We can describe how design choice is consistent with research designs needed to advance knowledge in the discipline.
- Identifying and justifying the type of sampling strategy – We can explain specific procedures for how the sample will be drawn. We can describe the sampling frame (inclusion and exclusion criteria).
- Using a power analysis to determine sample size and include: Justification for the effect size, alpha level, and power level chosen.
- Describing recruiting procedures and particular demographic information that will be collected –We can Describe how participants will be provided informed consent. We can describe how data are collected. We can explain how participants exit the study (e.g., debriefing).
- For published instruments providing:
Name of developer(s) and year of publication.
Appropriateness to the current study.
Published reliability and validity values relevant to their use in the study.
- For all researcher instruments providing:
Basis for development (literature sources or other bases for development)
Plan to provide evidence for reliability (e.g., internal consistency and test/retest) and validity (e.g., predictive and construct validity).
- Identifying software used for analyses.
- Providing the explanation of data cleaning and screening procedures.
- Describing in detail the analysis plan including the elements below including:
Statistical tests that will be used to test the hypothesis (es).
Procedures used to account for multiple statistical tests, as appropriate.
The rationale for inclusion of potential covariates and/or confounding variables.
How results will be interpreted.
Our experience enables us to work with you to enhance your dissertation’s results chapter, assisting with:
- Reporting descriptive statistics that appropriately characterize the sample.
- Evaluating statistical assumptions as appropriate to the study (quantitative).
- Reporting statistical analysis findings, organized by hypotheses – We can report any additional statistical tests of hypotheses that emerged from the analysis of main hypotheses (quantitative). We can present data to support each finding (e.g., quotes from transcripts, documents – qualitative). We can discuss discrepant cases/ nonconfirming data as applicable (qualitative). We can include tables and figures to illustrate results, as appropriate, and per the current edition of the Publication Manual of the American Psychological Association.
Our experience enables us to work with you to enhance your dissertation’s discussion chapter, assisting with:
- Describing in what ways findings confirm, disconfirm, or extend knowledge in the discipline by comparing them with what has been found in the peer-reviewed literature described in chapter 2 – We can analyze and interpret the findings in the context of the theoretical.
- Describing the limitations to trustworthiness that arose from the execution of the study.
- Describing recommendations for further research that are grounded in the strengths and limitations of the current study. We can ensure recommendations do not exceed study boundaries.
- Describing the potential impact for positive social change at the appropriate level (individual, family, organizational, and societal/policy).
We are experts in using qualitative data analysis software such as NVivo 10, Nud*ist, HyperResearch, and Atlas. We are adept with scholarly databases such as JSTOR, Ebsco, ProQuest, Scopus, Questia, Blackwell Synergy, ScienceDirect, and many others. We are dedicated to helping our clients analyze their qualitative data utilizing a number of different methodologies.
Meta-Analysis is a methodology employed to synthesize the outcomes of various studies related to the same topic or outcome measure. We can achieve an integration of research findings through qualitative means. The qualitative meta-analysis also referred to as meta-synthesis, follows the same replicable procedures of a quantitative meta-analysis; however, it is interpretive rather than aggregative. It is critical to define the domain of research and establish criteria for including studies in the review.
Phenomenology has its roots in philosophy as presented by Edmund Husserl in the late 1800’s. Scholars applied phenomenology to the field of psychology around 1879 (Giorgi, 2009). The phenomenon is an experience that presents itself to consciousness, something that is present in human consciousness. There are two main principles in the phenomenological approach:
- Husserl’s “principle of principles” that views experiences as legitimate; researchers should not try to add to, or subtract from what is presented by participants (Giorgi, 2009, p. 69).
2. The concept of “free imaginative variation” which requires removing an aspect of the phenomena to determine what is essential. If the removal results in substantially changing what we have, we can view it as essential (Giorgi, 2009, p. 69).
A case study approach is useful for exploring, describing, and explaining questions for research (Yin, 1994). In addition, a case study approach is useful for providing feedback to how or what questions (Yin, 2009). A multiple case study investigates a contemporary phenomenon within its real-life context (Yin, 2009, p. 37).
We are not just an APA editor, and also offer dissertation or thesis editing in a variety of other academic styles such as MLA, Chicago, Turabian, and Harvard. We provide highly customized editing services that take into account what you’ve done so far for your document, assisting with:
- Citing all sources correctly per APA formatting requirements (for example, studies listed in alphabetical order by first author; no first names of authors).
- Crosscheck all citations to ensure that there are corresponding references (and that there are no references that do not have associated citations).
- APA numbered lists
- Appendix formatting
- Automatic lists of tables and figures
- Automatic table of contents
- Body formatting
- Creating proper headers and footers
- Figure and table captions
- Front matter set-up
- Organizing block quotes
- Organizing headings
- Preparing approval sheets
- Proper spacing
- Removing bullets and bolding
- Table formatting
- Comma use
- Consistency of style
- Effect vs. affect
- First-person elimination
- Identifying overly-subjective tone
- Passive voice
- Removing relative time reference
- Scholarly precision and tone
- Series commas
- Subject-verb agreement
- We identify missing references
- We verify the formatting of references or footnotes
- We use APA, MLA, Chicago, Harvard, or Turabian editing standards and verify each reference or footnote one-by-one.
- For APA references, we check general formatting including italics usage, punctuation, capitalization, and page numbering.
- For APA references, we also validate DOI/Source information.
- For MLA references, we check italics and punctuation usage and verify publisher formatting.
- For Chicago style footnotes and references, we check font size and style along with italics and parentheses usage.
- For Harvard style references, we check punctuation and italics along with capitalization and ampersand usage.
- For Turabian footnotes and references, we check capitalization, punctuation, font size, inter-footnote and reference spacing, publisher location, and italics and parentheses usage.
- For all in-text citations, we check the alphabetical ordering of references, capitalization, punctuation, and page numbering for quotations.
- Bibliography construction from scratch given a written document
- We organize citations in bibliographic systems like EndNote and RefWorks.