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Unit 12: Variables. In RQs and HYs

54 RQs – Definition, Fact, Association, Causation

The next two chapters are about research questions and hypotheses. Specifically, they talk about different types of research questions and hypotheses. Research questions can help define things and establish facts. Both RQs and HYs can involve association and causation.

Should you believe it?

The criteria for establishing causality are good things to pay attention to in this unit. This is where you’re likely see a lot of violation between any given primary research and the popular press source applying that research to make a point.

Don’t fall asleep before you get to the discussion of directionality in hypotheses. It’s one of those things that seems so simple, but requires some of that Healthy External Skepticism.

I will admit that this is potentially not terribly exciting stuff. So in the lecture video, I reference a game. You can find it here.

[and now for your regularly scheduled student textbook authors]

Learning Objectives

What is a research question?


RQs – Definition, Fact, Association, Causation

What is a Research Question?

Research questions are composed of variables and each variable has a unique relationship to the RQ. These relationships could include an association, causation, definition, or a fact. Each are defined below.

Research questions (and Hypotheses) should be specific, focused, actually able to be answered, and about questions that haven’t already been answered. Check out this reference

Definition- A research question that seeks to define something.

Example: How do students use cell phones?

A research question of definition seeks to clarify or define a concept, term, or phenomenon. These questions aim to establish a clear understanding of what something is, often by exploring its characteristics, components, or boundaries.

  • “What constitutes effective communication in virtual teams?”
  • “How do social media platforms define user engagement?”
  • “What are the key elements of digital literacy?”

There’s generally a single variable.

Fact- A research question that seeks to know if something has happened or if something is going to change

Example: Do people use cellphones as a form of communication?

“Over the last few decades, there has been a proliferation of research into what constitutes effective crisis communication across diverse disciplines such as emergency management, social and behavioural sciences, health, education and security and communication (Cheng, 2018Coombs, 2015Eriksson, 2018). ”

Association*- means they are related, but one does not cause another.

Example: Are bad grades and cell phone use in class related?

*you’ll usually hear this described as “correlation”

A research question of association seeks to explore the relationship between two+ variables.

From: Social media: Connecting and sharing in a bushfire crisis

Q1. How are the different practices of social media communication related to user engagement on the two agencies’ Facebook pages?
Q1.1. How is the format of content related to increased user engagement on the Facebook pages?
Q1.2. How is the length of the post related to increased user engagement on the Facebook pages?
Q2. How are the types of information related to increased user engagement on the two agencies’ Facebook pages?


Causation-
means there is a direct relationship of cause. It follows an A causes B model.

There are three rules a RQ must follow in order to test causation:
    1. Temporal: Cause must come before effect.
    2. It can’t be Spurious[1]: Some outside factor that is explainable which is causing A to cause B.
    3. Co-vary: Must be associated with each other (Co-variables).

research question of causation can be tricky because by the time we (scholars) are ready to tackle cause and effect, we’re ready for a hypothesis. You can read more here about more interpretive approaches to causation:

Exploring causal relationships qualitatively: An empirical illustration of how causal relationships become visible across episodes and contexts

Textbook Contribution: Julia, Rob, Grace, Katelyn Group 4 (2019)

Association- how one variable correlated with another variable?
Ex- How do temperatures below 50 degrees correlate to college class attendance?
Causation- what effects a cause on a variable
Ex- How is class attendance affected by weather – does cold weather cause student attendance to drop?
Fact- asks a yes or no question
Ex- Do fewer people attend classes when its cold?
Definition- a question that states the definition
Ex- How do college students define unpleasant weather?

 

Aside: I (DocMC) got a ring light somewhere between Units 9 and 10 and reviewing all the videos …well…I am not convinced that the ring light is a positive addition. Is it just me or does it make my skin look somewhat cartoonified? Or perhaps my health has taken an extreme turn for the worse…and these videos actually feature a cadaver. Very “Weekend at Bernies.”

Games from this video are in a separate chapter so that they don’t make this one an endless scroll.


  1. Spurious: Shows a relationship between two things that does not prove it. Two variables could be independent from each other but may SEEM like they are distinctly related. Use of this word is most fun if you say it like a pirate. Spuuuuurios!
definition

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