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Week 8 · Chapter

Chapter 8 — Midterm Review & Exam

Introduction to Sociology Free sample edition

The module's primary reading · ~30–40 minutes · Objective 1 (apply the sociological imagination — connecting personal troubles to public issues — and the three major theoretical perspectives (structural functionalism, conflict theory, symbolic interactionism) to interpret a social phenomenon, naming the level of analysis each works at and placing the discipline's founders with the ideas and works they are known for), Objective 2 (describe and evaluate the major sociological research methods (surveys, experiments, field research and ethnography, secondary-data analysis), distinguish reliability from validity and a population from a sample, and read a social statistic critically — what it measures, over what population and period, what it shows and does not, and whether it is a correlation or a cause), Objective 3 (analyze culture and socialization — values, beliefs, norms, symbols, and language; ethnocentrism and cultural relativism; the agents of socialization; and the social development of the self in Cooley's and Mead's accounts), Objective 4 (explain social interaction, groups, and organizations — status and role, dramaturgy, primary and secondary groups, conformity, and bureaucracy — and compare the functionalist, conflict, and interactionist explanations of deviance and social control, reading crime data as rates rather than counts), Objective 5 (analyze social stratification, class, and global inequality — caste and class systems, income versus wealth, poverty measures, social mobility, the Davis-Moore thesis against the conflict view, and modernization against dependency and world-systems perspectives — reading income, poverty, and cross-national inequality data with their sources and years) · Read it early this week, before the review activities and well before the midterm.


In plain language

This week you look back at the first seven weeks and see how they fit together. Each topic so far turns on one key distinction, such as a private trouble versus a public issue, or income versus wealth. You also learn one new habit, the level-of-analysis habit (three questions you ask of any pattern and any explanation of it). It asks whether a pattern belongs to a whole society or one face-to-face moment, whether an explanation points at choices or at how society is arranged, and whether a group figure is pinned on one person. That habit carries you into the second half of the course, where the topics turn to inequality and institutions.

Why you already care about this

In its 2025 survey, Pew Research Center found that 91% of U.S. adults own a smartphone. In its 2024 report, the Census Bureau counted 35.9 million people in poverty under the official measure. In its 2024 survey, the Bureau of Justice Statistics found that only about 48% of violent victimizations reached police records.

You have already read each of those figures carefully in this course. Now picture three people reacting to them. A friend at a family dinner says, "If people are poor, they made bad choices." A coworker on a night shift says, "More reported crime means more people are breaking the law." A classmate in a group chat says, "That town has a high crime rate, so I wouldn't trust anyone from there."

Each reaction makes the same kind of slip. It reads a pattern about a whole society as a fact about one person, or it explains a society-wide figure as millions of separate choices. This chapter gathers the first half of the course into one map and gives you a tool for catching that slip.

By the end of this chapter you will be able to:

  • name the one key distinction each of Weeks 1 to 7 asks for and apply it to a new case;
  • rerun the course's worked figures with the arithmetic shown;
  • run one case through the three perspectives and name each one's level of analysis;
  • sort an explanation as individual or structural;
  • spot the ecological fallacy when a group figure is pinned on one person.

Carry this line with you: a rate describes a group, not a person.

Where we are

  • Already covered: Weeks 1 to 7 built the sociological imagination and the three perspectives, research methods and the four data questions, culture and the self, groups and interaction, deviance, and stratification.
  • This week: a review of all seven weeks, one distinction per topic, plus one new tool, the level-of-analysis habit, and the midterm.
  • How they connect: the habit grows out of Week 1's macro and micro levels and Week 2's four data questions.
  • Where we're going next: Week 9, Global Inequality, opens the second half and carries the habit from one country to the whole world.

Week 1 gave you the two levels of analysis. The macro level looks at whole societies, institutions, and large-scale patterns; the micro level looks at face-to-face interaction and the meanings people share in it. Week 2 gave you the four questions to ask of any figure: what is measured, over whom and when, what it shows and does not, and whether it is a correlation or a cause. Weeks 3 to 7 then used both tools on culture, the self, groups, deviance, and class. Every section below reuses a figure you have already met; no new numbers appear this week.

1. Connect a trouble to an issue: the imagination and three lenses

Picture one person who loses a job at a warehouse. Now picture a whole region where thousands of warehouses close in the same year. The first picture is a story about one life. The second is a story about an economy.

That is the distinction Week 1 started with. Mills (1959), The Sociological Imagination, set one jobless person in a city against millions out of work across an economy.

  • A personal trouble is a private problem within one person's life and immediate surroundings, such as one person losing a job.
  • A public issue is a problem rooted in the structure of a society that reaches far beyond any one person, such as millions out of work across an economy.

Week 1 also gave you the perspective move. You run one phenomenon through all three lenses, one sentence each. Structural functionalism (macro) asks what job a pattern does for society. Conflict theory (macro) asks who benefits. Symbolic interactionism (micro) asks what the pattern means to people in a face-to-face moment. No lens wins; each answers a different question at its own level.

The data move came with it: compare places by rate, never by count.

Worked example — the two towns, revisited. This example is illustrative, constructed for this course, not real data.

  1. Town A: 12 events among 40,000 residents, so 12 ÷ 40,000 × 100,000 = 30 per 100,000.
  2. Town B: 15 events among 30,000 residents, so 15 ÷ 30,000 × 100,000 = 50 per 100,000.
  3. The comparison: Town B's rate is higher by 50 − 30 = 20 per 100,000.

In words: the rate, not the count, is the fair comparison, because the towns differ in size.

Misconception check — one perspective wins. Students often think one of the three perspectives must be the right one and the others wrong. It is tempting, because a test question seems to want one answer. But the lenses answer different questions at different levels: two work at the macro level and one at the micro level. The cure is to name the question each lens asks before you pick the lens a case calls for.

Memory hook: one jobless person is a trouble; millions out of work, an issue.

2. Check how we know: measures, samples, and causes

Picture a bathroom scale that always reads two pounds heavy. Step on it five times and you get the same number five times. It is consistent, and it is wrong every time.

That scale holds Week 2's first distinction.

  • Reliability is the consistency of a measure: a reliable measure gives the same result each time it is used on the same thing under the same conditions.
  • Validity is whether a measure captures what it is meant to capture; a measure can be consistent and still miss its target, so reliability does not guarantee validity.

Week 2's second distinction is about whom a study can speak for. The population is the whole group a researcher wants to draw conclusions about; the sample is the smaller set of people who actually take part. A representative random sample beats a large self-selected one, because sampling bias does not shrink as the pile of answers grows.

The third distinction is the one this course leans on most. A correlation is an association between two variables that change together. Causation is the stronger claim that a change in one variable produces a change in another. Ice-cream sales and drownings both climb in summer because of the heat, a third variable, not because of each other.

Worked example — the smartphone share, read four ways. The figure comes from Pew Research Center's 2025 survey of U.S. adults.

  1. What is measured: self-reported smartphone ownership.
  2. Over whom and when: U.S. adults, surveyed in 2011 and in 2025.
  3. What it shows: 35% in 2011 and 91% in 2025, so the change is 91 − 35 = 56 percentage points.
  4. Correlation or cause: neither; it is a description of one population at two times.

In words: smartphone ownership rose 56 percentage points, and the figure says nothing about why it rose.

Misconception check — percent and percentage point. Students often call the rise from 35% to 91% "a 56 percent rise." It is tempting, because both numbers carry a percent sign. But the difference between two percentages is measured in percentage points. The cure is to write the unit every time.

Memory hook: consistent is not the same as correct.

3. Sort the rules and the self: norms, judgment, Cooley and Mead

Picture a dinner where someone starts eating before everyone is served. A few people raise an eyebrow. Now picture someone copying a classmate's exam. The reaction is far stronger.

Week 3 sorted rules by how much moral weight they carry.

  • Folkways are everyday customs that carry no moral weight, such as how quickly to answer a message; breaking one draws only mild reactions.
  • Mores are norms that carry moral weight, such as honesty on an exam; breaking one draws a strong reaction. The singular is mos.

Week 3 also asked how you judge other people's rules. Ethnocentrism is judging another culture by the standards of your own. Cultural relativism is understanding a custom by the meaning it has within its own cultural context. Relativism is a method of study, not a verdict that anything goes.

Week 4 asked how you became a self in the first place, and it gave you two thinkers you must not swap.

  • The looking-glass self is Cooley's (Human Nature and the Social Order, 1902): you imagine how you appear to others, imagine their judgment, and develop a self-feeling from it.
  • The generalized other is Mead's (Mind, Self, and Society, 1934): the broad expectations of the society as a whole. It is the end point of his preparatory, play, and game stages.

Worked example — sort four moments. Each moment is illustrative.

  1. A store's uniform shirt: no moral weight, so a folkway, even though a manager may enforce it with a written warning.
  2. Returning a lost wallet with the cash inside: moral weight, so a mos.
  3. A new hire who pictures how the shift lead sees them and feels a glow of pride by closing time: Cooley's looking-glass self.
  4. A soccer player who keeps every teammate's job in mind before passing: Mead's game stage, which leads to the generalized other.

In words: weight sorts the norm, and the name sorts the theory of the self.

The perspective move here is symbolic interactionism (micro), the home of both accounts of the self. Both build the self in everyday interaction.

Misconception check — Cooley and Mead swapped. Students often credit the looking-glass self to Mead or the stages to Cooley. It is tempting, because both men wrote about the self arising from other people. The cure is a pairing: Cooley owns the mirror; Mead owns the stages and the generalized other.

Memory hook: Cooley's mirror; Mead's stages.

4. Read the room and the group: roles, groups, Asch, and Granovetter

Picture a night-shift nurse who is also a parent with a school concert the same evening. Now picture a team captain who must both encourage teammates and decide who sits out. Both feel pulled two ways, but the pull comes from different places.

Week 5 separated a position from the script that goes with it. A status is a recognized social position, such as student or cashier. A role is the set of behaviors expected of someone who holds that status.

  • Role conflict is a clash between the expectations of two or more different roles a person holds at the same time, such as worker and parent.
  • Role strain is tension among competing demands inside a single role, such as the captain's.

Week 5 also sorted groups. A primary group is small, close, and lasting, such as a family. A secondary group is larger, impersonal, and built around a task, such as a work department. The criterion is the depth and purpose of the relationship, not size alone.

Then you read two studies.

Worked example — Asch and Granovetter, revisited. Both figures come from the course's pinned studies.

  1. Asch, the share who yielded: in the 1951 study, 37 of 50 went along with the wrong majority at least once, so 37 ÷ 50 × 100 = 74%.
  2. Asch, the share of answers: about one-third (32%) of critical-trial answers were errors, so most answers stayed correct.
  3. Asch, one ally: with one partner who answered correctly, errors fell from 32% to 10.4%, a drop of 32 − 10.4 = 21.6 percentage points.
  4. Granovetter, weak ties: of 54 job-finders who used a contact in his 1973 survey, 16.7% saw that contact often, 55.6% occasionally, and 27.8% rarely. So 55.6 + 27.8 = 83.4% found work through someone they saw occasionally or rarely.

In words: a group can pull a judgment about a plain fact, one ally undoes much of the pull, and acquaintances carried most of these job-finders to work.

Honesty note: each study describes the people it studied, in its own setting and year. Neither one tells you how any other group behaves.

Misconception check — "most people always conform." Students often read Asch's 74% as "most people always go along." It is tempting, because 74% is a big number. But the 74% counts people who yielded at least once; most answers, about two-thirds, stayed correct. The cure is to ask whether a figure counts people or answers.

Memory hook: two roles collide; one role stretches.

5. Tell rule-breaking from law-breaking: deviance and its three explanations

Picture someone cutting into a long line at an illustrative food truck. People glare, but no one calls the police. Now picture a driver going a little over the speed limit on a highway where nearly every car does the same. A law is broken, and no one reacts.

Week 6 pulled those two ideas apart.

  • Deviance is behavior that violates the norms of a group, whether or not it also breaks a law.
  • Crime is behavior that violates a formal law, a narrower category than deviance.

The perspective move is three explanations, one per perspective. The functionalist account comes from Durkheim, who described the functions deviance serves, and from Merton's strain theory, which reads deviance as a response to the gap between cultural goals and approved means. The conflict account asks who has the power to define deviance and who gets defined by it. The interactionist account includes labeling theory (Becker, 1963): whether an act counts as deviant depends less on the act than on how others react to it.

Worked example — the victimization survey, revisited. The figures come from the Bureau of Justice Statistics' National Crime Victimization Survey for 2024.

  1. What is measured: violent victimizations that people told the survey about, whether or not anyone told the police.
  2. The two rates: 23.3 violent victimizations per 1,000 persons age 12 or older, of which 11.2 per 1,000 were reported to police.
  3. The share reported: 11.2 ÷ 23.3 × 100 ≈ 48%.
  4. Correlation or cause: neither; it is a description of one year.

In words: fewer than half of the violent victimizations the survey counted in 2024 reached police records, so police counts and the survey measure different things.

Misconception check — deviance and crime as one thing. Students often treat "deviant" and "criminal" as the same word. It is tempting, because the most famous examples of deviance are crimes. But deviance breaks a group's norm and crime breaks a law, and the two overlap without matching. The cure is to ask which rule was broken: a norm, a law, or both.

Memory hook: every crime breaks a law; not every deviant act does.

6. Read the ladder: caste, class, income, and wealth

Picture two coworkers who earn the same paycheck. One goes home to a paid-off house; the other sends part of every check to a student loan. On paper they look equal. Their lives do not.

Week 7 gave you two distinctions for that scene. A caste system is a closed system of stratification in which standing is fixed at birth. A class system is an open system in which achievement as well as birth shapes standing.

  • Income is a flow of money that comes in over a period of time, such as wages, salaries, and returns on investments.
  • Wealth is a stock of value measured at one point in time: everything a household owns minus everything it owes.

The perspective move is a debate held at full strength. The Davis–Moore thesis ("Some Principles of Stratification", 1945) argues that the more functionally important a position is, the more reward it must carry to attract qualified people. Tumin's critique (1953) answers that functional importance is hard to measure and that stratification blocks talent. The conflict view reads stratification as the reproduction of advantage. This course declares no winner.

Worked example — the 2024 Census figures, revisited. The figures come from the Census Bureau's 2024 income and poverty reports.

  1. Median household income: 83,730 dollars in 2024, the income of the household in the middle when every U.S. household is lined up.
  2. Official poverty rate: 10.6% in 2024, which was 35.9 million people.
  3. Supplemental Poverty Measure: 12.9% for the same year.
  4. The gap: 12.9 − 10.6 = 2.3 percentage points separate two counts of the same people in the same year.

In words: a median is the middle household, a poverty rate always names its measure, and none of these is a wealth figure.

Misconception check — a high income means high wealth. Students often call a high earner "wealthy." It is tempting, because both words are about money. But income flows in over a period, while wealth is owned minus owed at one moment. The cure is to ask: is this coming in, or is it owned?

Memory hook: a paycheck is a flow; a balance is a stock.

7. Build the level-of-analysis habit: patterns, explanations, and one fallacy

Picture a family dinner where a cousin says, "If people are poor, they made bad choices." Someone else answers, "No, the economy put them there." Both are explaining the same figure, and both sound sure. Neither has said what level the figure lives at.

This week adds one tool for that argument. The level-of-analysis habit is a three-question check run on any social pattern and any explanation of it. Here are the three questions.

  1. Where is the pattern? Is it a macro pattern across a whole society, or a micro moment of face-to-face interaction?
  2. Where is the explanation? Does it point at people or at arrangements?
  3. Who is the figure about? Is a group figure being pinned on one person?

The second question needs two new terms.

  • An individual explanation is an explanation of a pattern that points to the traits, choices, or efforts of particular people, such as saying a household is poor because of the decisions its members made.
  • A structural explanation is an explanation of a pattern that points to the arrangements of a society, such as its economy, its institutions, its rules, and the way it draws its measures, which shape many people's situations at once.

The third question needs one more.

  • The ecological fallacy is the error of applying a group figure, such as a rate, a share, or an average, to one person in the group as if it described that person.

Caveat: the habit does not tell you which explanation is true. It tells you what kind of claim you are making, so you know what evidence would test it. An individual explanation of a society-wide rate is a claim, not a finding, and so is a structural one.

Worked example — the habit on three callback figures. Each step reuses a pinned value.

  1. Question 1, the poverty rate: the 10.6% is a macro pattern, a share of the whole U.S. population the measure covers, not a fact about any one household.
  2. Question 2, the poverty rate: "35.9 million people each made poor choices" is an individual explanation, and it is a claim, not a finding. The data themselves show one structural fact: the same people in the same year count as 10.6% or 12.9% poor depending on where the line is drawn and how resources are counted. That gap of 2.3 percentage points was produced by a definition, not by anyone's choice.
  3. Question 3, the two towns: Town B's 50 per 100,000 describes the town; it says nothing about any one resident of Town B. Reading it as a fact about one person is the ecological fallacy.
  4. Question 3, Granovetter: the 55.6% describes 54 job-finders in one 1973 survey; it does not say that your own next job will come through an acquaintance.
  5. Question 2, the victimization survey: "each victim decided whether to report" is an individual explanation, and "the way reporting to police is arranged shapes who reports" is a structural one. The survey shows the gap, about 48% reported; it tests neither explanation.

In words: the habit sorts each claim before you weigh it. Correlation or cause? None of these figures is a cause; each is a description.

Now go back to the three reactions from the opening. The dinner remark is an individual explanation of a macro rate, offered as if it were a finding. The night-shift remark reads a reported count as the true amount of crime, Week 6's reporting effect. The group-chat remark pins a town's rate on one person, the ecological fallacy.

Pause and think. Choose one of these two prompts and answer it in a few sentences of your own.

  • (a) Describe a moment in your own life that felt like a personal trouble, and say what structural arrangement might also have shaped it.
  • (b) Find one claim in a recent headline or post that explains a society-wide pattern. Say whether it is an individual or a structural explanation, and what evidence would test it.

Misconception check — structural means "not anyone's responsibility." Students often think a structural explanation erases individual choice, or that an individual explanation denies structure. It is tempting, because the two sound like rival teams. But the habit sorts claims by level; it does not declare one level real and the other fake. People make choices inside arrangements, and each level asks for its own evidence. The cure is to name the level before you argue the case.

Memory hook: name the level first; argue the case second.

Key terms

  • Level-of-analysis habit — A three-question check run on any social pattern and any explanation of it: at what level the pattern sits (macro structure or micro interaction), at what level the explanation works (individual or structural), and whether a group figure is being applied to one person. (first used: 7. Build the level-of-analysis habit: patterns, explanations, and one fallacy)
  • Individual explanation — An explanation of a pattern that points to the traits, choices, or efforts of particular people, such as saying a household is poor because of the decisions its members made. (first used: 7. Build the level-of-analysis habit: patterns, explanations, and one fallacy)
  • Structural explanation — An explanation of a pattern that points to the arrangements of a society, such as its economy, its institutions, its rules, and the way it draws its measures, which shape many people's situations at once. (first used: 7. Build the level-of-analysis habit: patterns, explanations, and one fallacy)
  • Ecological fallacy — The error of applying a group figure, such as a rate, a share, or an average, to one person in the group as if it described that person. (first used: 7. Build the level-of-analysis habit: patterns, explanations, and one fallacy)

Summary

  • Week 1: tell a personal trouble from a public issue; three lenses, no winner.
  • Week 2: reliability is not validity; a correlation is not a cause.
  • Weeks 3 and 4: folkways lack moral weight; mores carry it; Cooley's mirror, Mead's stages.
  • Week 5: role conflict is between roles; role strain is inside one.
  • Week 6: deviance breaks a norm; crime breaks a law.
  • Week 7: caste is closed, class is open; income flows, wealth is owned.
  • New: name the level of the pattern and of the explanation.
  • New: a group figure never describes one person.

Check your understanding

Work these before looking at the answers — they are ungraded, and the answers (with reasoning) are at the bottom of the page.

  1. Two illustrative counties report bike thefts for one year. Lakeside records 9 thefts among 15,000 residents. Ridgeview records 28 thefts among 70,000 residents. Which county has more thefts, and which has the higher rate per 100,000?
  2. In an illustrative city survey, the share of residents who say they trust their neighbors moves from 40% to 46%. By how many percentage points did it rise, and by what percent? Is the figure a correlation or a cause?
  3. On an illustrative campus, the share of students who work more than 20 hours a week rose over five years. Sort each explanation as individual or structural: (a) "students today care less about their classes"; (b) "the campus cut its on-campus jobs and the rent near campus went up."
  4. After reading Ridgeview's theft rate from item 1, a neighbor says, "Anyone from Lakeside is more likely to steal a bike than anyone from Ridgeview." Which question of the level-of-analysis habit does this break, and what is the error called?

Answers (worked reasoning — read after attempting)

  1. Ridgeview has more thefts, 28 against 9. But the rates reverse it. Lakeside: 9 ÷ 15,000 × 100,000 = 60 per 100,000. Ridgeview: 28 ÷ 70,000 × 100,000 = 40 per 100,000. Lakeside, the smaller county, has the higher rate, by 60 − 40 = 20 per 100,000. Compare places by rate, never by count.
  2. 46 − 40 = 6 percentage points. As a percent change, 6 ÷ 40 × 100 = 15 percent. The figure is neither a correlation nor a cause: it is a description of one city's answers at two times, and it says nothing about why trust rose.
  3. (a) is an individual explanation: it points at the traits of particular students. (b) is a structural explanation: it points at arrangements, jobs and rent, that shape many students' situations at once. Each is a claim to test, and the rising share alone cannot settle which explains more.
  4. It breaks question 3, who the figure is about. A county's theft rate describes the county; reading it as a fact about any one resident is the ecological fallacy. The neighbor also misreads item 1: Lakeside's rate, not Ridgeview's, is the higher one, and neither rate says anything about a single person.

Next up in this module: the lecture, the slide deck, the Readings & Resources page, the practice set, the discussion, and the midterm — and next week the same three-question method meets Global Inequality, where whole countries become the units being compared.

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