MIXED METHODS DESIGNS

• Convergent design


  An approach that gathers two types of data: quantitative (numbers and stats) and qualitative (descriptions and opinions), keeping them separate during collection but bringing them together during analysis
• Explanatory Sequential Design


  This approach to research involves two main steps: first, collecting and analyzing quantitative data, and then, collecting qualitative data to explain or enhance the quantitative findings.
• CONVERGENT DESIGN

  For example, let's say we're studying customer satisfaction for a new product. We could gather numbers on how many people bought it (quantitative) and also ask customers how they feel about it (qualitative). Then, we'd look at both sets of data together to see if there are any patterns or contradictions. Maybe lots of people bought it, but the feedback is mixed. That tells us something important about our product's success beyond just sales numbers.
• Explanatory Sequential Design.

  This approach to research involves two main steps: first, collecting and analyzing quantitative data, and then, collecting qualitative data to explain or enhance the quantitative findings.
• Explanatory Sequential Design.

  imagine you're conducting a study on students' academic performance. You start by gathering quantitative data, such as their grades or test scores in different subjects. This gives you numerical information about their performance.
• Explanatory Sequential Design.

  quantitative data come first, followed by qualitative data to provide a deeper explanation.
• Exploratory Sequential Design.

  we start off with qualitative data collection and analysis before moving on to quantitative research.
• Exploratory Sequential Design.

  Let's say you're researching why students enjoy certain subjects more than others. First, you might interview a few students to understand their interests and motivations (qualitative). Then, based on what you've learned, you could create a survey and gather data from a larger group of students to see if those patterns hold true (quantitative).
• taking baby steps before you start running, ensuring you're on the right track before diving deep into the numbers.

  Exploratory Sequential Design.
• transformative design By combining both types of data, you gain a deeper, more comprehensive insight into the dynamics at play. So, transformative design isn't just about numbers; it's about using various methods to paint a richer picture of our research subjects.
• transformative design

  Imagine you're investigating how people interact with technology in a classroom setting. Instead of just counting how many students use tablets versus laptops, you also conduct interviews to understand why they prefer one over the other.
• transformative design

  This approach seeks to blend quantitative and qualitative data in research, not just for the sake of mixing methods, but to truly transform our understanding of a topic.
• Now, let's talk about one aspect of embedded design where we have primary and secondary data. Essentially, in this setup, we have one type of data that takes the spotlight, while the other type plays a supporting role. Think of it like a tag team, where one wrestler is the main fighter, and the other is there to back them up and ensure victory.
• embedded design

  For example, let's say we're designing a smart thermostat. The primary data here might be the temperature readings from various sensors placed around the house. But alongside that, we might have secondary data, like occupancy sensors or weather forecasts. While the temperature readings are crucial for determining the indoor climate, the occupancy sensors and weather forecasts provide additional context and validation for the thermostat's decisions.
• EMBEDDED DESIGN

  having this combination of primary and secondary data helps us ensure the accuracy and reliability of our systems. It's like having multiple pieces of evidence to support our conclusions, making our designs more robust and effective.
• A multiphase design involves conducting multiple sequential phases of either quantitative or qualitative research. Each phase builds on the previous one, allowing for a more nuanced and comprehensive exploration of the research problem.
• multiphase design in research. Imagine you're baking a cake. You don't just throw everything together and hope for the best. Instead, you follow a recipe, which involves multiple steps or phases, like mixing ingredients, baking, and decorating.
• Similarly, in research, a multiphase design involves breaking down the process into sequential phases. Each phase builds on the previous one, allowing researchers to dive deeper into the topic. For example, let's say we're researching the effectiveness of a new teaching method.
• Phase one might involve gathering general information through surveys or interviews with teachers and students. Phase two could focus on observing the method in action in a few classrooms. Phase three might involve more in-depth interviews or focus groups to understand specific challenges and successes

  multiphase design
• Each phase adds layers of understanding, like adding layers of flavor to a cake, until we have a comprehensive understanding of the research problem.

  multiphase design
• Core Mixed Methods Research Designs

  CONVERGENT DESIGN

  EXPLANATORY SEQUENTIAL DESIGN EXPLORATORY SEQUENTIAL DESIGN TRANSFORMATIVE DESIGN EMBEDDED DESIGN MULTIPHASE DESIGN