Project development for a research study requires a combination of expertise in research design, data analysis, and statistical methods, as well as strong project management skills. The goal is to design a research project that is rigorous, relevant, and delivers actionable insights.

Our services include:

• Development of Research Questions
  • A well-defined research question helps to clarify the purpose of the study and provides a framework for the research design and analysis.
• Research Design
  • Research design refers to the overall strategy or plan for conducting a research study. A well-designed study ensures that the research question is properly addressed and that the study is conducted in a way that is valid, reliable, and unbiased.
• Survey Development and Distribution
  • Survey design: This involves creating the survey instrument, including the types of questions to be asked, response formats, and the overall structure of the survey.
  • Survey distribution: This involves distributing the survey to the target population, either in person, by mail, online, or through another method, and collecting the responses.
• Power Analysis
  • The purpose of a power analysis is to determine the sample size needed for a study to have adequate statistical power, which means that the study has a high likelihood of detecting an effect if it exists. The sample size is one of the key factors that affect the statistical power of a study. A larger sample size increases the statistical power, while a smaller sample size decreases it.

Data management is the process of collecting, storing, organizing, maintaining, and utilizing data in an effective and efficient manner. The goal of data management is to ensure the accuracy, completeness, and reliability of the data, as well as to make it accessible and usable for various purposes, such as analysis, reporting, and decision-making. By ensuring accurate data, researchers can make informed decisions and enhance the reproducibility of research results.

Our services include:

• Data entry, formatting, and organization
  • Once data has been collected, it must be prepared for statistical analyses. This involves a range of tasks, such as checking for errors, recoding variables, creating new variables and entering data correctly into the statistical software. Accurately entering data into statistical software is a crucial step in preparing it for analysis but can be time-consuming and prone to errors. By ensuring that data is correctly prepared, entered, and formatted, researchers can be confident in the accuracy and reliability of their analyses, and draw meaningful insights from their data. Our firm can help by providing data entry services to ensure that data is correctly entered into statistical software.
• Data Cleaning and Screening
  • Data cleaning and screening is a critical step in statistical analyses that involves identifying and addressing missing data, outliers, and assumptions of statistical models. By conducting a thorough data screening process, researchers can ensure that the statistical analyses are accurate and meaningful and that the results are not influenced by problematic data points.
  • This phase of the research process encompasses several key activities, including:
    • Data cleaning: This involves identifying and removing any errors, inconsistencies, reverse-coding data, etc. in the dataset.
    • Data screening: This involves identifying and addressing missing data, outliers, and assumptions of statistical models.

Statistical analysis empowers researchers to extract insights and draw conclusions from data, yet its complexity often necessitates interpreting results and creating clear reports with tables/figures. By conducting appropriate statistical analyses and presenting them in a clear and meaningful way, researchers can gain insights and make informed decisions based on their data.

Our services include:

• Statistical Analyses and Interpretation
  • Statistical analysis and interpretation refer to the process of using statistical methods and techniques to analyze data and draw meaningful insights and conclusions. The goal of statistical analysis is to gain a deeper understanding of the relationships and patterns in the data, and to make informed decisions based on this understanding.
• Scientific Report Preparation (i.e., Written Reports)
  • Writing a report to understand statistical analysis involves summarizing and interpreting findings in a concise manner. It should provide an overview of the research question, data collection, and statistical methods used. The report should include a summary of the main findings, relevant tables or graphs, and a discussion of implications and recommendations for future research or practical applications. A well-written report ensures proper understanding, application of results, and valuable insights for stakeholders, colleagues, and readers of published research.
• Tables & Visual Aids
  • Tables and figures are commonly used in statistical analysis to help display and communicate the results of the analysis. Tables are used to present numerical data in a clear and organized way, while figures are used to visually represent the data in a way that can be easily understood.