PSY 3220 Module 1 Scientific Understanding of Behavior Paper: Turning a Hunch About Phones Into a Testable Question Example

From Hunch to Hypothesis: Asking Scientifically Whether My Phone Steals My Focus

Student Name

Bachelor of Arts in Psychology, Thomas Edison State University

PSY-3220: Research in Experimental Psychology

Mentor Name

Month Day, Year

From Hunch to Hypothesis: Asking Scientifically Whether My Phone Steals My Focus

Introduction

I study for my online courses at the kitchen table after work, with my phone face up beside my laptop. I have long believed that the phone ruins my focus, even when I do not touch it. A friend says the opposite: knowing her phone is nearby keeps her calm and helps her concentrate. We cannot both be right about people in general, and our impressions may be wrong even about ourselves. This paper explains what makes psychology a science, how that helps answer questions like ours and how I turned my hunch into a research question I will develop through the course.

Why Intuition Is Not Enough

Lilienfeld (2010) argues that psychology's standing as a science depends on its willingness to use methods that protect against human biases. People naturally see patterns that confirm what they already believe, a tendency called confirmation bias, and they assume that their perceptions reflect reality directly, which he calls naive realism. Popular psychology is full of claims that feel true but fail when tested, and Lilienfeld notes that even trained clinicians can be misled by vivid cases. Scientific methods, such as control groups, blind measurement and replication, exist precisely because good intentions and experience are not enough to prevent error. He urges teachers to emphasize scientific thinking itself, not only findings, so that students learn to ask how a claim could be wrong.

Features of a Scientific Question

Stanovich (2019) explains several principles that distinguish scientific psychology from everyday reasoning. A scientific claim must be falsifiable: it must specify observations that would show it to be wrong. A theory that explains every possible outcome explains nothing. Concepts must be defined operationally, in terms of the procedures used to measure them, so that other researchers can repeat the work. Personal testimonials and vivid examples are weak evidence because they cannot rule out alternative explanations. Correlation does not establish causation. And scientific knowledge grows through converging evidence, in which many studies with different methods and limitations point to the same conclusion.

What Research Already Suggests

My question turns out to have been studied. Ward et al. (2017) conducted two experiments with roughly 800 undergraduates. Participants were randomly assigned to leave their phones on the desk face down, in a pocket or bag or in another room, with phones silenced in every condition. They then completed tasks measuring working memory capacity and fluid intelligence. Participants whose phones were in another room performed best and those whose phones were on the desk performed worst, even though participants reported that the phone's location did not affect them. The authors called this effect brain drain and suggested that resisting the pull of a nearby phone uses up some of the mind's limited capacity.

Turning the Hunch Into a Question

My original belief, "my phone ruins my focus," is not testable as stated: "ruins" and "focus" are vague, and my own experience is a single, biased case. Following Stanovich, I first defined terms operationally. Focus became performance on a reading comprehension test after studying a passage for 15 minutes. Phone presence became three conditions like those in Ward and colleagues' study: phone face down on the desk, phone in a bag at the participant's feet and phone left in another room.

The Research Question

My question is: among adult online learners studying at home, does the physical presence of one's smartphone reduce reading comprehension compared with leaving the phone in another room? My hypothesis, based on Ward and colleagues, is that comprehension scores will be lowest when the phone is on the desk and highest when it is in another room. This hypothesis is falsifiable: if scores do not differ, or if the desk condition scores highest, the hypothesis is wrong.

Why Adult Online Learners?

Ward and colleagues studied traditional undergraduates on a campus. Adult learners who work, care for families and study at home may differ: they may use phones differently, depend on them more for work and family contact or study in noisier settings. Testing the effect in this group extends the research rather than repeating it.

Anticipating Alternative Explanations

Even a clear result could have other explanations. If participants who leave phones in another room feel anxious, anxiety rather than attention might affect scores. Measuring anxiety, and phone dependence, as Ward and colleagues did, will help interpret results. Later modules will address measurement, ethics and design in detail.

Correlation Is Not Enough

I could have answered my question by surveying classmates about where they keep their phones and how well they do in courses. But students who keep phones on the desk might differ in many ways, such as working longer hours, caring for children or having less time to study. Any link between phone location and grades could reflect those differences rather than the phone itself. Stanovich stresses that only manipulating a variable while holding others constant can rule out such third variables, which is why my question calls for an experiment.

Why My Experience Misleads Me

My belief came from nights when I studied poorly with my phone nearby. I rarely notice nights when I studied well with it beside me, or poorly without it. This selective memory is exactly the confirmation bias Lilienfeld describes. Writing my belief as a falsifiable hypothesis forces me to accept that the data may prove me wrong.

Limits

Ward and colleagues' findings have not always replicated, a point I will return to in the module on generalization. My own bias toward believing the effect is real is exactly the kind of bias scientific methods are meant to check.

Conclusion

Lilienfeld explained why intuition and experience cannot replace scientific methods, Stanovich showed how falsifiability and operational definitions turn beliefs into testable claims and Ward and colleagues provided evidence that a phone's mere presence may reduce cognitive capacity. My hunch has become a falsifiable question about adult online learners, ready to be measured, designed and tested.

References

Lilienfeld, S. O. (2010). Can psychology become a science? Personality and Individual Differences, 49(4), 281-288. https://doi.org/10.1016/j.paid.2010.01.024

Stanovich, K. E. (2019). How to think straight about psychology (11th ed.). Pearson.

Ward, A. F., Duke, K., Gneezy, A., & Bos, M. W. (2017). Brain drain: The mere presence of one's own smartphone reduces available cognitive capacity. Journal of the Association for Consumer Research, 2(2), 140-154. https://doi.org/10.1086/691462