The Building Blocks of Research, Explained

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The Building Blocks of Research

Research Methods in Psychology · Chapter 1: Foundations of Psychological ResearchSection 1.1 · lesson 1 of 9410 min · free with a free account

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In this lesson

The foundational concepts that frame every psychological investigation.

  • Name the core elements of a research study
  • Separate constructs, variables and operational definitions
  • Trace independent, dependent and extraneous variables
  • Judge a measure by reliability and validity

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Everything said in the video, section by section (1,434 words). Read along, or search it.

Foundations of Psychological Research

The Building Blocks of Research

Welcome to the first section of Research Methods in Psychology. Before you can design a study, you need the vocabulary that studies are built from. This section lays out that vocabulary, piece by piece. Think of it as scaffolding, because every claim in psychology rests on a small set of interlocking parts. Observations, constructs, variables, hypotheses, and theories. Get one of them wrong, and the whole structure leans. By the end, you will name the core elements of any psychological study. You will separate constructs from the variables that stand in for them. You will trace how independent, dependent, and extraneous variables interact. And you will judge a measurement by two standards, reliability and validity.

Why Foundations Matter

One Sentence, a Whole Network of Ideas

Start with a sentence you have probably read somewhere. Sleep deprivation impairs memory. Four words, hiding an enormous amount of machinery. Underneath sits a theory about how the mind processes information. A measurable definition of sleep, and an operational way to test memory. A sample of human participants, and a logical inference connecting cause to effect. Remove any one of those, and the claim stops being scientific. Now here is the failure mode worth naming early. Confusing a construct with its measurement can invalidate an otherwise well-conducted study. The data collection can be flawless, and the conclusion still wrong. That is why the vocabulary comes first.

The Hierarchy

How the Layers Rest on One Another

Every study, however large, is assembled from the same small set of parts. Those parts form a hierarchy. At the surface sit observations, the things you can actually record. Underneath them sit constructs, the abstract ideas you are really interested in. Constructs become usable when you turn them into variables, and variables let you test hypotheses. Hypotheses that survive testing then feed back into theory. Read the chain in both directions. Going up, theory tells you what is worth looking for. Going down, observation tells you whether the theory survives contact with data. A study that skips a layer has a gap in its argument.

Seen and Inferred

Observations and Constructs

Observations are the empirical raw material of psychology. A reaction time. A child's behavior on a playground. A brain scan. A self-reported mood rating, or the frequency of a word in an interview. What makes an observation valuable is that it is public. In principle, any trained researcher can repeat it, and get comparable results. Constructs are a different kind of thing entirely. A construct is an abstract concept you cannot observe directly. Intelligence, anxiety, motivation, attachment, self-esteem. You cannot point at anxiety and weigh it on a scale, so you infer it from behavior. Constructs give psychology its explanatory power, but they create a translation problem.

Operational Definitions

Turning an Idea into a Procedure

The solution is the operational definition. It specifies the exact procedure used to measure or manipulate a construct. In one particular study, not in general. Take academic stress. You could define it as a score on the Perceived Stress Scale. Or as the cortisol concentration in saliva, sampled on the morning of an exam. Both are valid, and both capture different facets of the same construct. Happiness makes the point even more sharply. It could be a score on the Subjective Happiness Scale. Or the frequency of smiling during a five minute recorded conversation. Or self-reported life satisfaction, on a one to ten scale. Each produces different data, so pick the definition that fits your question, and report it transparently.

Variables

The Working Currency of Research

Once a construct is operationalized, it becomes a variable. A variable is a characteristic that can take different values, across people, situations, or time. Variables are the working currency of research. They are what we measure, manipulate, compare, and analyze. The independent variable is the factor the researcher deliberately changes or selects. In a study of caffeine and alertness, that is the dose administered. Zero milligrams, one hundred milligrams, two hundred milligrams. The researcher controls it. The participant does not. The dependent variable is the outcome you measure, to detect any effect. Here, alertness, operationalized perhaps as reaction time on a vigilance task. The name is literal. Its values are expected to depend on the independent variable.

Threats to the Logic

Extraneous, Confounding, Control

Now the variables nobody puts in the title of the paper. Extraneous variables are any other factors that could influence the outcome. Participant fatigue. Time of day. Room temperature, prior caffeine, genetic differences. An extraneous variable is not automatically a problem. It becomes one when it varies systematically with the independent variable. At that point it has become a confound. Confounds are dangerous because they offer an alternative explanation for your result. Your effect might be real, or it might be the confound talking. A study that fails to control them cannot support strong causal claims. Control variables are the defense, held deliberately constant. Same room temperature, same hour of day, participants matched on prior knowledge. Much of the art of design is anticipating which ones matter most.

Direction

Theories, Hypotheses, and Falsifiability

Above the variables sit two blocks that give research its direction. A theory is a broad, organized explanation of a set of phenomena. It usually proposes relationships among several constructs, as in Cognitive Dissonance Theory, Attachment Theory, and Self-Determination Theory. Theories do two jobs at once. They summarize what is already known, and they generate predictions about untested conditions. A hypothesis is narrower, a specific testable prediction derived from a theory. A theory might claim that social support buffers the impact of stress on health. The matching hypothesis names students, cortisol levels, and exam week. Karl Popper argued that a scientific claim must be capable of being wrong. If no conceivable observation could refute it, it is not a scientific hypothesis. That single standard is what separates psychology from pseudoscience.

Paired Hypotheses

The Null and the Alternative

Statistical reasoning requires hypotheses to come in pairs. The null hypothesis states that no relationship exists in the population. For example, that social support has no effect on cortisol levels. The alternative hypothesis states the relationship the researcher expects to find. Now notice which of the two the analysis actually examines. Data analysis evaluates the observed pattern against the null hypothesis. It asks whether that pattern is unlikely enough under the null to reject it. This is the counter-intuitive part. You do not set out to prove your own prediction. You set up the boring explanation, and then try to rule it out. The pairing is what makes the whole procedure work.

Reach of a Claim

Populations, Samples, Generalization

Research questions are posed about large groups, but studies are conducted on small ones. Two building blocks address that gap. A population is the entire group the findings are meant to apply to. All undergraduate students in India, for instance. Or all children aged four to six who experience separation anxiety. A sample is the smaller subset from whom data are actually collected. The relationship between the two decides how far your conclusions can travel. A representative sample mirrors the population on the characteristics that matter. A biased sample does not, so its conclusions are limited to people resembling the sample itself. Which is usually a far smaller claim than the researcher intended to make.

Measurement Quality

Reliability Is Not Validity

Two final building blocks judge the quality of the measurement itself. Reliability is consistency. A reliable bathroom scale gives the same reading when you step on it twice. A reliable depression inventory gives similar scores on two close occasions. Assuming, of course, that the underlying depression has not changed. Validity asks a different question entirely. Does the measure capture the construct it claims to capture? Here is the example that makes the difference stick. A scale that always reports you ten kilograms heavier than reality. It is perfectly reliable. It is not valid at all. Consistency is no guarantee of accuracy, and a good measure needs both. So try one yourself, using the words a child knows at age four. As a measure of that child's future intelligence, is it reliable? Is it valid?

Putting It Together

One Question, Fully Decomposed

Now put every block together on a single question. Does mindfulness practice reduce test anxiety in undergraduate students? The theory is that mindfulness improves emotional regulation, by strengthening attentional control. The hypothesis narrows that into something testable. Students completing an eight week program will report lower test anxiety. The construct is test anxiety, worry and arousal during evaluation. The operational definition is a score on the Test Anxiety Inventory, a twenty item self-report measure. The independent variable is program participation, yes or no. The dependent variable is the inventory score after the program. The population is students in introductory psychology courses, and the sample is one hundred and twenty volunteers. Two concerns stay open, and you now know how to name them. Are the scores consistent across two close administrations? That is reliability. Does the inventory measure test anxiety, or general anxiety? That is validity.

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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Why students take Research Methods in Psychology with UPI Study

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 The Building Blocks of Research

What is a construct in psychology research?
A construct is an abstract concept, such as intelligence, anxiety, motivation or self-esteem, that cannot be observed directly and has to be inferred from behavior. Constructs give psychology its explanatory power, but they create a translation problem: before a construct can be studied, a researcher must turn it into something observable and recordable, such as a questionnaire score or a physiological reading.
What is an operational definition in psychology, with an example?
An operational definition states the exact procedure used to measure or manipulate a construct in one particular study. Academic stress, for example, could be defined as a score on the Perceived Stress Scale or as salivary cortisol sampled on the morning of an exam. Both are acceptable, but each captures a different facet of the construct, so researchers should pick the one that fits their question and report it clearly.
What is the difference between a theory and a hypothesis in psychology?
A theory is a broad, organized explanation of a set of phenomena, while a hypothesis is a narrower, specific and testable prediction derived from a theory. A theory might claim that social support buffers the effect of stress on health; a matching hypothesis would name a population, a measure and a setting, such as students' cortisol levels during exam week. Following Karl Popper, a hypothesis must be capable of being shown wrong.
Can a psychological measure be reliable but not valid?
Yes, a measure can be consistent without measuring the right thing. Reliability means a measure gives similar results on repeated occasions, while validity means it actually captures the construct it claims to measure. A bathroom scale that always reads ten kilograms too heavy is perfectly reliable but not valid. A good measure needs both, because consistency is no guarantee of accuracy.

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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