Statistical Consulting for Professors and Researchers

• Our principals have PhDs in statistics from leading universities, such as Harvard, Stanford, and Columbia. In addition, they include nationally renowned scholars who are also talented professors. Thus, they have extensive backgrounds in statistics and biostatistics.
• We can provide expert statistical solutions. In addition, we ensure accurate results in a timely fashion. For example, quality control is achieved for analyzing datasets via independent programming.
• Our statisticians have an average of 25 years of technical experience. Additionally, they are experts in statistical analysis, such as t-test, ANOVA, ANCOVA, traditional regression, logistic regression, MANOVA, MANCOVA, factor analysis, cluster analysis, survival analysis, time series analysis, correlation analysis, meta-analysis, and more advanced statistical techniques such as structural equation modeling (SEM), hierarchical linear modeling (HLM), and path analysis.
• Our consultants use various software packages, including SPSS, SAS, Stata, HLM, Mplus, R, SPSS Amos, SPSS Modeler, Azure, JMP, Python, WinBUGS, Minitab, SYSTAT, LISREL, EQS, Smart PLS, WarpPLS, EViews, and many others. In addition, they can offer you clean data. Additionally, our consultants are highly experienced with qualitative analysis software, including NVivo 12, Nud*ist, HyperResearch, and Atlas.
• Our statistical consultants work closely with the entire project team throughout the study. In addition, they apply scientific knowledge to support you.
• Our five-star reviews and our 100% success with over 4,000 professors and 3,000 researchers for more than 16 years speak for themselves. In addition, we are members in good standing of the Statistical Consulting section of the American Statistical Association.
• We are more reasonably priced than most other statistical consulting firms. Thus, our fees usually pale compared to the savings and additional profits our work generates for our clients.
• Our statistical consulting teams offer personalized, comprehensive, friendly support during and after your consultation in addition to ultra-fast turnaround times. Therefore, over 90% of clients request our assistance more than once, as they are almost universally happy with the different statistical consulting brands we offer.

Quantitative Research

Statistical Consulting for Professors and Researchers

We are happy to provide the statistical consulting 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
• Inputting, organizing, coding, merging, managing, and cleaning the data
• Determining the ideal sample size
• Conducting analyses and assessing assumptions to examine the research questions
• 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)
• Writing up all the results, including tables and figures
• Providing syntax and raw output file
• Explaining and interpreting the results
• Allowing unlimited e-mail and phone support to ensure that you completely understand the results of the analysis
• Conducting two rounds of incidental statistics (i.e., if you would like additional statistics)
• Preparing an effective PowerPoint Presentation
• Supporting you until your project is complete.

Statistical Consulting for Professors and Researchers – Research Methodology and Research Design

Our statisticians provide ample instruction on the methods used. For example, we determine the ideal sample size by using a power analysis. The sample size is calculated from statistical power, effect size, and significance level. In addition, we operationalize your hypotheses and research questions. Additionally, we select variables based on the hypothesis that we test. Finally, our statistical consultants assist you in the design phase of your research.

Statistical Consulting for Professors and Researchers – Data Management

Our statistical consultants can input, organize, code, merge, clean, and manage your data. In addition, we can get your dataset ready for analysis. Additionally, we create composite scores, work with missing data, and label data.

We are dedicated to detecting and correcting corrupt or inaccurate records from a record set, table, or database. The process of data cleaning includes data auditing, workflow specification, workflow execution, post-processing, and controlling. We can use popular methods. These include parsing, data transformation, duplicate elimination, and statistical methods.

By analyzing the data using the values of mean, standard deviation, range, and clustering algorithms, we can find values that are unexpected and thus erroneous. We can examine any standardized residual greater than about 3 in absolute value, Hat element greater than 3p/n (p=k+1, k degrees of freedom), a Cook’s distance > 1, and Mahalanobis’s distance for a case. We run outlier analyses such as a run-sequence plot, a scatter plot, a histogram, and a box plot.

Statistical Consulting for Professors and Researchers – Test Statistics

Our statistical consultants specify specific statistics to address the research questions. We are experts in statistical analysis, including but not limited to the following:

• linear, logistic, and hierarchical regression analysis
• correlation analysis
• chi-square testing
• t‑tests, ANOVA, MANOVA
• structural equation modeling (SEM), multilevel SEM, confirmatory factor analysis (CFA), multilevel CFA
• factor analysis, principal component analysis
• time series analysis
• Cox regression, Kaplan-Meier survival analysis
• hierarchical linear modeling (HLM)
• meta-analysis
• Bayesian analysis
• latent class analysis
• longitudinal growth modeling
• mixture models
• linear mixed models
• distribution analysis
• predictive analytics
• ensemble analysis
• de-identification
• trend analysis
• sensitivity analysis
• negative binomial regression
• interim analysis
• decision trees
• item analysis
• nonparametric tests
• statistical and decision modeling
• MaxDiff
• segmentation and cluster analysis
• conjoint/discrete choice
• propensity score analysis

We use various software packages, including but not limited to the following:

• SAS
• SPSS
• Stata
• HLM
• Mplus
• R
• SPSS Amos
• SPSS Modeler
• Azure
• JMP
• Python
• WinBUGS
• Minitab
• SYSTAT
• LISREL
• EQS
• Smart PLS
• WarpPLS
• EViews

Statistical Consulting for Professors and Researchers – Reliability and Validity

In any research, only conducting the analysis is not enough. Therefore, we ensure that the results are reliable and valid. For example, we can test reliability (e.g., Cronbach’s alpha, test-retest reliability, split-half reliability, inter-rater reliability) and validity (e.g., content validity, construct validity, criterion validity).

Statistical Consulting for Professors and Researchers – Interpretation of the Results

Our statistical consultants interpret the research results. We also explain the results of the study. In addition, we write up all the results, including tables and figures. Our statisticians also provide syntax and the raw output file. Additionally, we ensure you are comfortable with the analyses. Finally, our statistical consultants allow unlimited email and phone support to ensure that you completely understand the analysis results. Typical results sections include:

Conduct descriptive statistics;
Test the assumptions of the analyses;
Perform analyses to examine the research questions;
Draft results write-up, which includes documenting assumptions, interpreting findings, stating support or non-support for the hypotheses, and providing tables and figures.

Qualitative Research

We can help you with any or all of the following steps:

• Establishing and operationalizing your research questions
• Providing ample instruction on the methods used
• Coding, thematizing, and providing reporting of findings for a study
• Identifying themes and sub-themes
• Coding documents to count the word-phrase clusters
• Creating a word-phrase cluster in the form of classified conceptual categories to count those conceptually categorized words or phrases
• Addressing specific subthemes that the thematic constructs have
• Providing numerical frequencies and standard scores for each master theme and sub-theme
• Writing up all results, including APA tables and figures
• Explaining the results
• Allowing unlimited e-mail and phone support to ensure that you completely understand the results of the analysis.

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