Mixed Factorial – Mixed Level Designs
$175.00
- Course Overview
- Course Structure
- Learning Objectives
- What’s Included
- What Sets Us Apart
- Reviews & Testimonials
- Job Opportunities
- Certification
- FAQs
- Reviews (0)
Course Overview
The “Introduction to Mixed Factor Mixed Level Designs” course offered by Air Academy Associates skillfully combines qualitative and quantitative research methodologies to refine the design of experiments (DOE). This course is meticulously crafted to enhance the research capabilities of its participants, placing a strong emphasis on mixed-methods research designs, which effectively integrate between subjects factors and within subjects factors.
Participants will delve deeper into qualitative and quantitative data collection and analysis, promoting a robust approach to conducting research across various disciplines. This comprehensive course structure ensures that participants are exposed to theoretical knowledge and gain practical skills through hands-on learning. This approach is pivotal in understanding the dynamics between different variables within the experimental design framework, which is essential for any researcher looking to excel in mixed methods research.
Contact us to Learn more
1.800.748.1277 | info@airacad.com
Course Structure
The course is structured to provide both theoretical knowledge and practical skills. Key modules include:
- Introduction to Mixed Factor and Mixed Level Designs: Understand how to design experiments involving between-subjects factors, within-subjects factors, and continuous variables. Learn foundational concepts and their applications.
- Data Analysis Techniques: Explore advanced statistical methods, such as two-way ANOVA and factor analysis, for analyzing main effects and interactions across multiple variables.
- Practical Applications: Work on exercises that simulate real-world research challenges, focusing on the setup, analysis, and interpretation of mixed-methods designs.
- Research Design Evaluation: Learn to critically assess and refine existing research designs to improve validity and reliability.
Course Software
This course will reference the software below. If you do not already have these installed, we recommend downloading the free trial(s) to get the full experience.
- PRO-TEST (DEMO)
PRO-TEST is an intuitive test case generation software designed to determine which combinations of factors and settings are required to achieve complete coverage of all two-way combinations. By significantly reducing the number of test cases compared to exhaustive testing, PRO-TEST ensures efficient and comprehensive experimental designs. The software is widely applicable across industries that need to test combinations of qualitative factors in multiple settings.
Learning Objectives
Skill Development
Participants will engage with mixed methods design to effectively design and implement research studies that integrate qualitative and quantitative research techniques. The course will focus on key aspects such as the use of between subjects variable and within subjects variable, interpreting complex data sets, and employing repeated measures. This module is designed to enhance skills in qualitative data collection and the analysis of qualitative data, positioning learners to handle various types of experimental design scenarios including two way ANOVA and exploratory sequential design.
Outcome Mastery
By the course’s conclusion, attendees will demonstrate proficiency in combining qualitative research and quantitative methods to tackle complex research questions. The curriculum covers various common mixed methods designs, such as the convergent parallel design and embedded design, providing a foundation in managing continuous factors and within subjects factors across multiple occasions. Participants will learn how to utilize different methods and data sets, analyze main effects and interactions, and apply their knowledge in practical settings to determine significant differences and model complex relationships.
Advanced-Data Analysis Techniques
Course participants will explore advanced statistical methods, including factor analysis and error term calculations, to enhance their ability to illustrate quantitative findings. This objective aims to deepen understanding of how to analyze data from two factors or more, utilizing models that show main effects and interactions to derive statistically valid conclusions.
Practical Application of Theory
Learners will apply theories learned in real-world scenarios, focusing on creating and interpreting experimental and mixed designs. This includes learning how to set up and interpret data from experiments involving factors at three levels, managing variables across different methods, and understanding the implications of their findings for practical applications.
Critical Evaluation of Research Designs
Attendees will critically evaluate existing research studies to identify strengths and weaknesses in their design and methodology. This includes understanding the nuances of sequential design and implementing mixed-methods research on single studies. Participants will also learn to question and refine research questions to better align with the objectives of their investigations, enhancing the overall validity and impact of their research.
What’s Included
Course Materials
- Comprehensive Learning Aids: Participants gain access to extensive course materials, including detailed slide decks that focus on intricate topics like continuous factors, between subjects factors, and within subject factors. These materials are designed to provide a robust foundation in understanding how these factors influence mixed methods research.
- Case Studies and Real-World Examples: To enhance learning, the course includes real-world examples and case studies that illustrate the application of these variables in practical settings. This helps participants see the direct impact of complex variable manipulation in actual research scenarios.
Support Resources
- Data Analysis Software Tutorials: The course offers advanced data analysis software tutorials, which are essential for effectively managing and analyzing data involving a continuous factor and within subject factor. These tools are crucial for participants who need to handle sophisticated research designs.
- Online Forums for Extended Learning: An additional resource provided is access to online forums. These forums are invaluable for discussing the implications of between subject factors on research outcomes, allowing for ongoing learning and engagement with peers and experts in the field.
By incorporating these features, the course ensures that participants learn the theoretical aspects of mixed methods research and gain practical skills and continuous support to apply their knowledge effectively.
What Sets Us Apart
Choosing our course on Mixed Factor Level Designs means entrusting your education to a team uniquely qualified in qualitative and quantitative fields, offering an enriched learning experience that is hard to find elsewhere. Here’s why you should choose us for your educational journey in mixed methods research:
Expert Instructors
Our faculty comprises leading researchers and practitioners with a wealth of real-world experience and academic depth. This diverse expertise allows us to provide instruction that is deeply informed by the latest research and best practices in qualitative and quantitative methodologies.
Unique Approach
We focus extensively on mixed methods research, providing a curriculum that equips you to handle complex research questions effectively. By integrating qualitative insights with quantitative findings, our approach ensures a more comprehensive understanding of research topics. This method is particularly advantageous for studies that require nuanced analyses, such as those involving continuous factors, interaction effects, and complex data sets.
Cutting-Edge Curriculum
We incorporate advanced topics such as the analysis of between-subject factors, within-subject factors, and continuous factors, which are crucial for modern research studies. Our course materials include detailed examples and case studies demonstrating these concepts in action, making complex ideas accessible and applicable.
Research-Driven Learning
Each module challenges students to think critically and apply what they learn to real-world situations. This includes hands-on training with statistical software to test hypotheses, analyze main effects, and explore interactions within data sets. Such practical skills are vital for anyone looking to excel in research or academic careers.
Collaborative Environment
Our course fosters a collaborative learning environment where students can interact with peers and instructors. This setting not only enhances learning but also encourages networking and the development of professional relationships that can benefit future research endeavors.
Tailored Content
We address specific research questions and scenarios that are most relevant to our students’ fields, employing a variety of teaching methods to suit different learning styles. Whether it’s through detailed tables, real-life data examples, or interactive discussions, we ensure that each participant can engage with the material in a way that best suits their learning preferences.
This comprehensive approach sets our course apart as a leader in teaching mixed methods research, making it an ideal choice for anyone interested in developing a thorough understanding of modern research methodologies’ theory and practice.
Reviews & Testimonials
“I would highly recommend this Lean Six Sigma Online Greenbelt training. The course and tools are designed to bring success to the students & businesses. The skills learned will bring value throughout your career.”
“Air Academy provides high quality consulting, coaching and education developed with close partnership with the client so that the efforts are well aligned with organizational goals. The expertise in Lean Six Sigma is superb and in addition, there is a wealth of leadership coaching that is invaluable. We have grown significantly in our Lean culture and leadership skills since engaging with Air Academy!”
“Air Academy Associates’ timeliness of performance is outstanding. They provided all requested support on time. They were proactive in setting up status meetings and managing control documents to assure deliverables were delivered on time and as specified.”
What did you like most? “the coaching session and videos, the possibility to stop the video if something is not clear”
Lisa was really the best. Also, videos were really good – Thanks to Lisa and Mark! “
“The online courses can be taken within the time frame that suits for my daily work. Yet, there are scheduled virtual sessions setting the milestones.”
“I thought this would be training like all the rest, I was very wrong. I found the instructor to be very interesting and captive with what could be thought of as dry data. He did not read from a power point, did not teach strictly from a book, but provided information that got me excited about making a difference in our operation which ultimately improved the bottom line. I was not trained only, but was given the opportunity to certify, which verified I understood the training.”
Job Opportunities
Career Advancement
Academic Research
Graduates skilled in mixed methods study are invaluable in academic research, where integrating qualitative and quantitative approaches is crucial. This role often involves handling datasets where one variable or more is examined across multiple groups, utilizing continuous factors to measure effects in a research study.
Product Development
In product development, insights gained from analyzing between subjects factors and within subjects factors can lead to impactful innovations. Mastery of mixed design principles helps in understanding user feedback and product performance, contributing to enhanced product features and user satisfaction.
Market Analysis
Market analysts using mixed methods can provide deeper insights by synthesizing qualitative and quantitative data. The skills to handle complex statistical interactions and main effects enable analysts to predict market trends and consumer behavior more accurately.
Enhanced Skills
Data Science
Data scientists benefit from the ability to analyze extensive datasets, often requiring the application of mixed methods to uncover underlying patterns. Skills in handling factor B and other variables within a dataset are crucial for high-level data interpretation and decision-making in technology and business environments.
Consulting
Consultants equipped with mixed methods research skills can address complex business problems by providing evidence-based solutions. Understanding the nuances of different types of data, from single study setups to extensive market research campaigns, allows consultants to offer more strategic and effective recommendations.
Search our job board to find what opportunities might be available to you.
Certification
On completion, participants receive a certificate that is recognized across industries that prioritize data-driven decision-making and research.
Contact us to Learn more
1.800.748.1277 | info@airacad.com
FAQs
Q: How does the course address the integration of continuous factors and between subjects factors in mixed methods research?
A: This course teaches how to integrate continuous factors and between subjects factors effectively within a research study. Understanding these elements helps in designing robust experimental designs where the main effect of one factor can be isolated even when interacting with other variables. This integration is crucial for researchers who need to manage complex data sets and analyze interactions systematically.
Q: What is the significance of within subjects factors in mixed methods research?
A: Within subjects factors are pivotal in mixed methods research as they allow researchers to measure changes in the same subjects under different conditions over time. This course provides the skills to handle these factors, enabling a deeper analysis of repeated measures data and enhancing the reliability of the research findings.
Q: How do we formulate a research question that effectively incorporates both qualitative and quantitative aspects?
A: Formulating a research question that encompasses both qualitative and quantitative aspects involves understanding the core principles of mixed methods research. The course emphasizes how to craft questions that leverage mixed methods designs to explore broader research topics, ensuring that both statistical data and contextual details are considered.
Q: What strategies are taught to handle a single factor’s impact across multiple data types within a mixed methods framework?
A: Strategies include detailed instruction on experimental design and statistical analysis, focusing on managing and interpreting a single factor’s influence across various data types. This approach helps assess the main effects and any potential interactions within a dataset, providing a more comprehensive understanding of the underlying phenomena.
Q: How is data set integration handled in the course, especially when dealing with large and complex data sources?
A: The course covers techniques for effective data integration, teaching participants how to merge large and complex data sets from different sources while maintaining data integrity. Techniques include using advanced software tools and statistical methods to ensure that all data points are accurately aligned and analyzed.
Q: Can you provide an example of how mixed methods research might analyze data from both the following table and a data set in a single study?
A: An example from the course might involve analyzing data from a following table that lists participant responses over time alongside a larger dataset that includes quantitative measures like test scores or biometric data. By integrating these data types, researchers can observe patterns and interactions, gaining insights into how variables affect outcomes across different contexts.
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1.800.748.1277
info@airacad.com
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