Week 14 Analysis Workshop: Daily Hassles and Evening Tension

Part 1 — The Big Picture

This week you learned that daily hassles, the small irritations of an ordinary day, can add up to real stress, and that a correlation can show two measures moving together without showing that one causes the other. In this workshop you test both ideas yourself. You compute r for a small, made-up set of eight adults who counted their daily hassles on one day and rated their tension that evening. You read the number for direction and strength, write the sentence that says "associated with," and name what else could explain it, such as a short night's sleep. Then you turn the fuzzy word "stress" into an operational definition, judge it for reliability and validity, and design the experiment that could test whether a ten-minute relaxation practice lowers evening tension. Last, you check a chatbot's answers to the same questions and correct what it gets wrong. If stress ever feels like more than you can carry, your campus counseling or health center, or a health professional you trust, is a good place to start.

Time budget: Plan for about 90 minutes.

Part 2 — The Task

Guiding question: In these eight adults, how strongly are daily hassles associated with evening tension, what is that association allowed to claim, and what study could test whether a relaxation practice lowers tension?

Workshop data: daily hassles and evening tension ratings (illustrative)

Source: An illustrative dataset constructed for this workshop, not from a real study: eight hypothetical adults each counted the daily hassles they ran into on one day, such as a late bus or a jammed printer, and rated their tension that evening on a scale from 1 (calm) to 10 (extremely tense).

• Rows: 8 adults, one row each (the data table in Part 4 also has 8 rows)
• Columns: daily hassles counted; evening tension rating from 1 to 10
• Design: correlational: both variables were measured, and nobody was assigned a number of hassles

Part 3 — Materials & Procedure

Tools and materials

• Google Sheets (free) or Excel
• A document or notebook for your written answers

Ways of working

• compute-and-interpret-r
• operationalize-a-construct
• design-a-correlational-or-experimental-check

Procedure

1. Open a blank sheet. In A1 type Hassles and in B1 type Tension. Copy the eight pairs from the data table in Part 4 into A2:B9, one adult per row. Tool: Google Sheets (free) or Excel. Check: Rows 2 to 9 hold eight pairs, and the hassle counts in column A run from 1 to 9.
2. In D1 type =AVERAGE(A2:A9) and in D2 type =AVERAGE(B2:B9). Copy both means into the results table, then mark each adult's row in the data table as above or below the mean number of hassles. Tool: Google Sheets (free) or Excel. Check: Each mean falls between the smallest and the largest value in its own column.
3. In D3 type =CORREL(A2:A9,B2:B9) and set the cell to show four decimals. Copy r into the results table, then write its direction (positive or negative) and its strength in words. Tool: Google Sheets (free) or Excel. Check: The cell shows a number between −1 and +1 with four decimals.
4. Select A1:B9 and insert a scatter chart. Put hassles on the horizontal axis and tension on the vertical axis, and give both axes a title. Describe the pattern in one sentence in words, not by color or position alone. Tool: Google Sheets (free) or Excel. Check: Eight dots appear, one per adult, with both axes titled.
5. In your document, write an operational definition of stress that someone else could repeat, then say whether a 1-to-10 evening tension rating would be reliable and whether it would be valid, with one reason each. Tool: A document or notebook for your written answers. Check: Your definition names an exact, observable procedure with a unit or a scale.
6. Complete the design table in Part 4 for an experiment that could test whether a ten-minute relaxation practice lowers evening tension: name the IV, the DV, the control group, how participants are chosen, how they are placed in conditions, and one ethical protection the study must give them. Check: Every row of the design table holds a specific plan, not a single word.

Fallback route

When to use it: Use this route if no spreadsheet is available or the chart will not draw.

Work the same steps by hand on paper. Add each column and divide by 8 to get each mean. For each adult, subtract the mean from the hassles and from the tension rating, multiply the two differences, and square each difference. Add each of the three new columns, then divide the sum of the products by the square root of the product of the two sums of squares to get r, rounding to four decimals. Draw the scatterplot on paper with labelled axes. Complete every scaffold table, answer every analysis question, do the critique step, and submit the same items for equal credit.

This route earns the same credit as the primary route.

Part 4 — The Scaffold

These are the workshop's illustrative data; mark each adult against the mean number of hassles so you can see the pattern before you compute r.

Student scaffold table 1

Adult	Daily hassles counted	Evening tension rating (1 to 10)	Above or below the mean number of hassles?
1	1	2
2	2	3
3	2	4
4	3	4
5	4	5
6	5	7
7	6	6
8	9	9

Record your results here so your interpretation rests on numbers you produced yourself.

Student scaffold table 2

Quantity	Your value or words	How you found it
Mean daily hassles
Mean tension rating
r for hassles and tension
Direction of the association
Strength of the association

Plan the experiment that could test whether a relaxation practice lowers evening tension, one design choice per row.

Student scaffold table 3

Design element	Your plan
Independent variable (IV)
Dependent variable (DV), with its operational definition
Control group
How participants are chosen
How participants are placed in conditions
One ethical protection and why

Part 5 — Analysis Questions

1. Report r for daily hassles and evening tension to four decimals. Say what its sign tells you about direction and what its size tells you about strength.
2. Write the interpretation sentence for these data using the words "associated with." Then name one third variable that could drive both measures, and describe one way the causal arrow could run the other way.
3. Using your design table and this week's coping styles, explain which feature of your experiment would let it support the claim that relaxation lowers tension, and say whether a relaxation practice is problem-focused or emotion-focused coping.
4. Give two limits of these data and this measure: one about the sample (eight hypothetical adults on one day each) and one about whether a 1-to-10 tension rating is a valid measure of stress.
5. Choose one reflection and answer it in 3–4 sentences: (a) a friend reads your scatterplot and says, "So hassles cause stress, and I should avoid them all." What would you tell them, and what evidence would change your answer? (b) Think of a stress-management habit you have heard recommended. How would you operationalize stress and design a fair check of whether the habit works?

Part 6 — AI-Critique Moment

Choose one equal-credit critique route. Route A: ask an approved AI tool to critique your completed work, then check its response against your own evidence. Route B is the no-AI equivalent printed below.

Approved tools: Claude, Gemini, ChatGPT, Grok, Microsoft Copilot.

Prompt to paste:

I've pasted my completed Analysis Workshop tables above. In an illustrative dataset, eight hypothetical adults each counted the daily hassles they ran into on one day and rated their tension that evening on a 1-to-10 scale. The pairs (hassles, tension rating) are: 1 and 2, 2 and 3, 2 and 4, 3 and 4, 4 and 5, 5 and 7, 6 and 6, 9 and 9. Please do six things. First, compute the correlation coefficient r and interpret it. Second, say whether these data show that daily hassles cause evening tension. Third, name the independent variable and the dependent variable in these data. Fourth, explain how to choose and place participants in a study that could show whether a ten-minute relaxation practice lowers evening tension. Fifth, say whether a 1-to-10 tension rating is a reliable and a valid measure of stress. Sixth, say whether the statement "daily hassles raise evening tension" is a theory or a hypothesis.

Test the response for these likely failures:

• Chatbots often write that daily hassles cause or drive evening tension, turning a correlation into a cause.
• Chatbots often label the hassle count as the independent variable and the tension rating as the dependent variable in these data.
• Chatbots often say that picking participants at random from a city is what lets a study show that relaxation lowers tension.
• Chatbots often say a tension rating must be a valid measure of stress because people give about the same rating when asked twice.
• Chatbots often call "daily hassles raise evening tension" a theory.

In 3–5 sentences, say what the chatbot got right, quote at least two sentences it got wrong, and correct each one with evidence from your own tables, your scatterplot, or this week's definitions.

Equivalent route (no AI required)

No AI account is required for this workshop. This route assesses the same objective, Objective 8 (apply psychological science to social behavior, stress and health, and the classification and evidence-based treatment of psychological disorders, using accurate and non-stigmatizing language), takes comparable effort of about the same 90 minutes, uses the same rubric, and earns the same credit. Instead of the chatbot, critique this flawed analysis, printed here in full: "The eight adults prove that daily hassles cause evening tension, because the correlation is strong. The hassle count is the independent variable and the tension rating is the dependent variable. Because the adults were picked at random from a city, a study like this shows that relaxation lowers tension. People give the same tension rating when asked twice, so it must be a valid measure of stress. The idea that daily hassles raise evening tension is a well-established theory." Mark it up: quote each flawed sentence, name what is wrong (a correlation read as a cause, variables mislabeled, sampling confused with assignment, reliability confused with validity, or a hypothesis called a theory), cite evidence from your tables or this week's definitions, and write a corrected sentence beneath it. Submit the marked-up analysis in place of the chatbot critique report and share link; it is scored by the same rubric row for the same credit.

Part 7 — What to Submit

• All three completed scaffold tables
• Your scatterplot, or a labelled sketch of it, with a one-sentence description in words
• Your operational definition of stress with its reliability and validity judgments
• Written answers to all five analysis questions
• The chatbot critique report with its share link, or the equivalent route's marked-up flawed analysis

Deliverable:

A short Analysis Workshop report on daily hassles and evening tension: three completed tables (the eight illustrative pairs marked against the mean, your computed means and r with their direction and strength, and your experiment design), a scatterplot or labelled sketch with a one-sentence description, an operational definition of stress with reliability and validity judgments, written answers to five analysis questions, and a critique of a chatbot's answers to the same questions, or, on the equivalent route, a marked-up correction of the printed flawed analysis. Submit in any accessible file type or as a link; a recorded response may be submitted as audio or video with a transcript, or as text. Choose a written, recorded, or visual form for your answers; every form is graded by the same scoring criteria.

Rubric

The rubric below shows how each submitted part is evaluated; bands are full, partial, or none.

Workshop evaluation criteria

Criterion	Full	Partial	None
Computing and reading r	The means and r are computed from the eight pairs by formula or by hand, r is reported to four decimals, and its direction and strength are stated correctly in words.	r is computed, but a mean is missing or wrong, r is not rounded to four decimals, or the direction or the strength is misread.	No r is reported, or the value is invented rather than computed.
The interpretation sentence and the third variable	The sentence says "associated with" and never claims a cause, names a plausible third variable, and describes a reversed causal arrow.	The sentence avoids a causal claim but omits the third variable or the reversed arrow, or names one only vaguely.	The interpretation claims that hassles cause tension, or no interpretation is given.
Operational definition with reliability and validity	Stress is defined as an exact, observable, repeatable procedure with a unit or scale, and reliability and validity are each judged with a specific reason.	A definition is given but is vague or not repeatable, or reliability and validity are judged without reasons or are confused with each other.	No operational definition is given, or reliability and validity are not addressed.
Designing the experimental check	The design table labels the IV and the DV correctly, includes a control group, separates random sampling from random assignment, and names an ethical protection with a reason.	The design is present, but one element is missing, the IV and DV are swapped, or sampling and assignment are blurred.	No design is given, or it cannot support a causal claim and does not say why.
Critique and correction	The chatbot critique report or the marked-up flawed analysis quotes at least two errors and corrects each with evidence; both routes earn this band equally.	The chatbot critique report or the marked-up flawed analysis names an error but corrects it without evidence, or corrects only one; both routes earn this band equally.	No chatbot critique report or marked-up flawed analysis is submitted, or the output is pasted without any check; both routes are scored the same way.

Quality Gate

• Every mean and r in your tables comes from your own formulas or your own hand calculation from the eight pairs, never from memory or a chatbot.
• Your interpretation sentence says "associated with," gives direction and strength, and names a third variable; it never says hassles cause tension.
• Your scatterplot or sketch shows eight dots with both axes titled, and its description is in words.
• Your design table labels the IV and the DV correctly and places participants in conditions by random assignment.
• No statistic, study, or source is invented anywhere in the submission, and no real person's stress is described or diagnosed.
• The critique quotes the chatbot or the flawed analysis and corrects at least two errors with evidence from your tables or this week's definitions.