Applying the Scientific Model, Explained

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Applying the Scientific Model

Research Methods in Psychology · Chapter 1: Foundations of Psychological ResearchSection 1.3 · lesson 3 of 9410 min · free with a free account

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In this lesson

From research method to evidence-informed practice.

  • Outline the scientific method as a cycle
  • Translate each stage into a real decision
  • Separate inductive from deductive reasoning
  • Name the pitfalls between evidence and action

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Everything said in the video, section by section (1,435 words). Read along, or search it.

Foundations of Psychological Research

Applying the Scientific Model

Research methods only matter if they change what you actually do. This section takes the scientific method out of the textbook, and puts it to work. You have probably seen it drawn as four tidy steps. Ask a question, form a hypothesis, run an experiment, draw a conclusion. Real research almost never behaves that way. By the end, you will describe the method as a cycle of six stages. You will translate each stage into a decision made by a real practitioner. You will separate inductive reasoning from deductive reasoning. And you will know the five pitfalls that wreck the move from evidence to action. Those pitfalls are where sound research most often goes wrong in practice.

Cycle Not Checklist

Real Research Loops Back

Start with the picture most people carry around. The scientific method as a sequence of neat steps, done once, in order. In practice, real research is far less linear than that. Researchers loop back to earlier steps constantly. Findings raise new questions. Instruments need refinement. Unexpected results demand reinterpretation, which sends you back to the hypothesis. So the method is better understood as a cycle than as a checklist. A checklist is something you finish. A cycle is something you keep running. It is a continuing process, in which provisional answers get refined into more durable knowledge. The word provisional is doing real work there, because nothing in science arrives finished.

Shape Of Inquiry

Six Recurring Stages

The cycle has six recurring stages. Identify the question. Review the literature. Formulate a hypothesis. Design the study and collect data. Analyze the results. Interpret and refine. Each stage feeds the next one. And the conclusion of one cycle frequently launches another. That last point is the one worth holding onto. A finished study is not the end of an inquiry. It is the thing that tells you what to ask next. We will walk through all six stages, and then apply them to a real school problem. The stages are simple to name, and surprisingly easy to skip under pressure.

Question To Hypothesis

Stages One, Two and Three

Stage one. Research begins with curiosity. A clinician notices that some clients respond rapidly to therapy, while others stagnate. An educator observes that students learn more from one teaching method than another. A public health official wonders why a well designed intervention fails to spread. Those are the seeds of research questions. A useful research question is specific, answerable, and important. Broad enough to matter, narrow enough to actually investigate. Stage two is the literature review, and beginners skip it more than any other stage. It identifies prior findings, theoretical frameworks, methodological precedents, and unresolved gaps. Skip it and you risk reinventing the wheel, or repeating a mistake someone already corrected. Stage three turns all of that into a precise, testable prediction. Among first year university students, more participation in peer study groups will predict higher end of semester grades.

Design To Refinement

Stages Four, Five and Six

Stage four translates the hypothesis into concrete operations. Selecting a design, choosing measures, recruiting participants, obtaining ethical approval. Then gathering the data through the agreed procedure. The quality of this stage decides how much weight the eventual findings can carry. A well conceived hypothesis, tested with weak methods, produces uninformative results. Stage five converts raw observations into evidence. Quantitative studies apply statistical tests, asking whether a pattern is genuine or down to chance. Qualitative studies use systematic coding, theme identification, and interpretive frameworks. In both cases, the analysis must be planned in advance, and reported transparently. Choosing your analyses after seeing the data has a name. It is called p hacking. Stage six places findings in context, states the limitations, and feeds the next round of questions.

Two Modes

Inductive and Deductive Reasoning

The method draws on two complementary forms of reasoning. Inductive reasoning runs from specific observations toward general principles. It is how theories and hypotheses get generated from accumulated data. Deductive reasoning runs the other way, from general principles toward specific predictions. It is how existing theories get tested. Here is the same psychologist, using each in turn. She notices that several anxious patients also report poor sleep. Moving from those particular cases toward a general claim is inductive. Now she knows that anxiety disrupts sleep, and she applies that principle. She predicts something specific. Students with high exam anxiety will show poorer sleep efficiency during finals week. That is deductive. Both are legitimate, and rigorous research alternates between them.

A Worked Case

Reducing Bullying on Campus

Now apply the whole cycle to something practical. A school principal wants to reduce bullying on campus. The question comes first. Does a structured peer mentorship program reduce reported bullying incidents? The literature review surveys published studies on whole school anti bullying programs. The hypothesis says schools using peer mentorship will report a significant reduction in incidents. The design is quasi experimental. Run the program in three schools, and compare them with three others. Analysis compares pre and post intervention rates between the groups, using inferential statistics. Then interpretation decides what happens next. If the program worked, scale it up. If it did not, ask why. Implementation fidelity, dosage, or something about the context. Even a null result tells the principal something useful.

Naming The Practice

Evidence-Informed Practice

There is a name for what that principal is doing. It is called evidence informed practice. A practitioner uses the best available research to guide decisions. A clinician, a teacher, a manager, a policymaker. But research evidence is not the only input. They also weigh their own professional judgment. And they weigh the preferences of the people actually affected by the decision. Notice the word informed, rather than based. The scientific model provides the structure. Experience and values supply the context. Evidence that ignores context rarely survives contact with a real classroom or clinic.

Where It Breaks

Five Pitfalls in Translation

Even methodologically sound research can be misapplied. Five pitfalls deserve particular attention. Overgeneralization, which extends a finding beyond the conditions actually tested. Confusing correlation with causation, which is the most famous of the five. Treating statistical significance as though it meant practical importance. Ignoring the conditions an intervention needs in order to work at all. And confirmation bias in how the evidence gets selected in the first place. Notice what these five have in common. None of them is a flaw in the study itself. Each is a flaw in the step from the study to the decision. That step gets no peer review, and nobody checks your work.

Reach And Direction

Overgeneralizing, and Reading Cause

Take overgeneralization first. A finding from one population does not automatically apply to all populations. Say the sample was undergraduate students at Western universities. Cross cultural psychology has repeatedly shown a troubling pattern. Effects considered universal often look very different, outside the context where they were first measured. Now the second pitfall, and the one you already half know. If two variables move together, it does not follow that one causes the other. They may be linked by a third variable. Or the causal direction may run the opposite way from the one you assumed. The standing example is ice cream sales and drowning rates. They correlate, and neither causes the other. Both simply rise in summer. A later section examines this pitfall in far more detail.

Significant But Small

Statistical Significance Is Not Importance

The third pitfall is the one that trips up careful people. A statistically significant result tells you a pattern is unlikely to be due to chance. That is all it tells you. It does not tell you the pattern is large enough to matter. Here is the example that makes it concrete. A new teaching method improves test scores by half a point. On a hundred point scale. In a large enough sample, that can be statistically significant. It is also far too small to justify the cost of rolling it out. Statistical significance is about confidence. Practical significance is about size. Effect sizes, covered in later chapters, are the tool that addresses this distinction. So when a result is reported as significant, ask how big, not only how certain.

Conditions And Bias

Conditions, Bias, and the Next Cycle

Two pitfalls left, and both of them live outside the laboratory. An intervention that succeeded in a tightly controlled trial may fail elsewhere. Transplant it into a busy school or clinic, and it can simply stop working. Differences in training, resources, fidelity, and context all reduce real world impact. So the practitioner asks two questions, not one. Does this work? And does this work here, with these people, under these conditions? The last pitfall is confirmation bias in selecting evidence. Decision makers unconsciously seek out evidence that confirms the option they already prefer. Contrary findings get overlooked, and nobody notices the omission. Systematic literature reviews and meta analyses are the defense. They aggregate evidence across many studies, which dilutes any single biased selection. The cycle gives you the structure. These five pitfalls are where it usually breaks.

About Research Methods in Psychology at UPI Study

Research Methods in Psychology (Psychology 111) is a self-paced online course of 94 video lessons in 16 chapters, from the scientific method and research ethics to designs, data collection, sampling, measurement, validity, experiments, descriptive statistics and hypothesis testing. It carries a NCCRS credit recommendation for 3 semester credits.

Every lesson transcript is free on pages like this one, and the videos are free with a free UPI Study account. Enrolling adds a practice quiz after each lesson, the graded work and final exam that earn the credit, lifetime access, and an official transcript on completion. UPI Study has helped over 130,000 students with college credits. ACE and NCCRS have over 2,100 cooperating colleges that will consider accepting credits; the final decision is with the universities.

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How psychologists know what they knowResearch Methods in Psychology teaches how psychological studies are designed, run and judged: research ethics, surveys and observation, correlational and experimental designs, sampling, reliability and validity, and the statistics used to test hypotheses. It is a core course in psychology and many social-science degrees.
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130,000+students helped with college creditsACE and NCCRS have over 2,100 cooperating colleges that will consider accepting credits; the final decision is with the universities.

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Universities that work with NCCRS

Research Methods in Psychology carries a NCCRS credit recommendation. These universities work with NCCRS; some are UPI Study's signed partners. ACE and NCCRS have over 2,100 cooperating colleges that will consider accepting credits; the final decision is with the universities.

Thomas Edison State UniversityThomas Edison State UniversitySigned partnerUniversity of the PeopleUniversity of the PeopleSigned partnerCharter Oak State CollegeCharter Oak State CollegeSigned partnerStrayer UniversityStrayer UniversitySigned partnerColumbia Southern UniversityColumbia Southern UniversitySigned partnerIndiana TechIndiana TechSigned partnerPenn StatePenn StateWorks with NCCRSSouthern New Hampshire UniversitySouthern New Hampshire UniversityWorks with NCCRSSUNYSUNYWorks with NCCRS +many more cooperating universitiesFind my college →

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FAQ

Questions students ask us

About Applying the Scientific Model

What are the six stages of the scientific method in psychology research?
The scientific method can be described as a cycle of six stages: identify the question, review the literature, formulate a hypothesis, design the study and collect data, analyze the results, and interpret and refine. Each stage feeds the next, and researchers often loop back when findings raise new questions or instruments need refining. The conclusion of one study frequently launches the next cycle of inquiry.
What is the difference between statistical significance and practical significance?
Statistical significance says a pattern is unlikely to be due to chance, while practical significance asks whether the effect is large enough to matter. A teaching method that raises scores by half a point on a 100-point scale can be statistically significant in a large sample yet too small to justify its cost. Effect sizes are the tool for judging how big a result is, not just how certain.
What is evidence-informed practice in psychology?
Evidence-informed practice means a practitioner, such as a clinician, teacher, manager or policymaker, uses the best available research to guide decisions while also weighing professional judgment and the preferences of the people affected. The word informed, rather than based, signals that research supplies the structure while experience and values supply the context. Evidence that ignores context rarely works well in a real classroom or clinic.
What are common mistakes when applying research findings to real-world decisions?
Five common pitfalls are overgeneralizing a finding beyond the conditions tested, confusing correlation with causation, treating statistical significance as practical importance, ignoring the conditions an intervention needs to work, and selecting evidence through confirmation bias. None of these is a flaw in the study itself; each is a flaw in moving from the study to a decision. Systematic reviews and meta-analyses help guard against biased selection of evidence.

About the Research Methods in Psychology course

How many college credits is Research Methods in Psychology?
Research Methods in Psychology (Psychology 111) carries a NCCRS credit recommendation for 3 semester credits. ACE and NCCRS have over 2,100 cooperating colleges that will consider accepting credits; the final decision is with the universities.
How much does Research Methods in Psychology cost and what is included?
$250, paid once, with lifetime access: all 94 video lessons, a practice quiz after each, the graded work and final exam, and an official transcript when you finish. Students who want several courses choose UPI Study PRO instead.
Which universities accept UPI Study credits?
UPI Study has signed partner agreements with universities such as Thomas Edison State University, University of the People and Charter Oak State College, and works with universities such as Penn State, SNHU and SUNY. ACE and NCCRS have over 2,100 cooperating colleges that will consider accepting credits; the final decision is with the universities. Use "Find my college" on this page to check yours.
How long does Research Methods in Psychology take?
It is self-paced with no deadlines. The 94 lessons total about 16 hours of video; most students add reading and practice time and finish in a few weeks to a few months, on their own schedule.
How are the exams done?
Quizzes and assignments are online in the course. The final exam is taken online with proctoring; a person on the UPI Study team checks assignments, usually within two days.
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