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D2.Psy.5.9-12C3 FrameworkSocial StudiesPsychologyAppendix BGrades 9-12

D2.Psy.5.9-12: Validity, Reliability and Data Analysis in Psychology

In plain English: D2.Psy.5.9-12 is the C3 Framework psychology indicator for grades 9-12 that asks students to explain how the validity and reliability of observations and measurements relate to data analysis. Students learn that a reliable measure is consistent and a valid one is accurate, and that random and systematic errors change means, spreads and correlations in different ways. It is usually taught in high school psychology.

Explain how the validity and reliability of observations and measurements relate to data analysis.

C3 Framework for Social Studies (NCSS) · Dimension 2: Applying Disciplinary Concepts and Tools · Discipline: Psychology · Psychological Perspectives and Methods of Inquiry · Official standard

01

Lesson Plan

60-70 min

Overview

D2.Psy.5.9-12 asks students to explain how the validity and reliability of observations and measurements relate to data analysis. A measure is reliable when it gives consistent results, and valid when it captures what it claims to capture. The point of the indicator is the link to analysis: random error from an unreliable measure adds noise that blurs differences and weakens correlations, while systematic error from an invalid measure pushes every result the same wrong way, so more data only makes a wrong answer look more precise.

The anchor case is Oskar Pfungst's 1904 investigation of Clever Hans (his book appeared in 1907), a horse in Berlin that seemed to answer arithmetic questions by tapping a hoof. Students read Pfungst's "with knowledge" and "without knowledge" tests, the 1904 report in which 13 observers unanimously ruled out tricks and found no familiar kind of signal, and Pfungst's discovery of the tiny head movements that guided the horse. Two invented studies with invented data (two observers at a crosswalk and a questionnaire given twice) let students compute agreement, compare means and decide what each data set can support. All planning tasks are done on paper only.

Learning Objectives

By the end of this lesson, students will be able to:

  • Define reliability (test-retest and inter-rater) and validity (construct, criterion, internal and external) and give an example of each
  • Distinguish random error from systematic error and explain what each one does to a mean, a spread and a correlation
  • Explain why observers who agree with each other can still be wrong, using Pfungst's Clever Hans tests as evidence
  • Compute percent agreement and compare group means to judge whether a data set supports a claim about a measure
  • Plan, on paper only, a blind procedure and a validity check for a measure of behavior

Prior Knowledge Required

Students should already be comfortable with:

  • Variables, operational definitions and samples in psychological research D2.Psy.1.9-12
  • Computing a mean and a percentage from a small data set
  • Reading a historical source closely and quoting it with paragraph numbers

Lesson Procedure

60-70 minutes of class time across 5 phases.

  1. Warm-Up5-10 minutes

    Warm-Up Prompt

    "A classroom thermometer always reads exactly 2 degrees higher than the real temperature. Is it a good thermometer? What would go wrong, and what would still work, if you used it to track the room for a month?"

    Give students two minutes to write, then collect answers on the board in two columns: "what goes wrong" and "what still works." Students usually notice that every reading is too high. Fewer notice that a change from one day to the next is still correct, because the same 2 degrees are added to both readings. Keep both columns visible: they become the difference between systematic error and a usable comparison in Direct Instruction.

  2. Direct Instruction20 minutes

    Every number in a psychology study comes from an observation or a measurement, and data analysis can only be as good as those numbers. Two questions come first. Is the measure reliable: would it give the same result again? Is it valid: does it capture the thing it claims to capture? The table gives the working vocabulary.

    Reliability and validity: the working vocabulary (everyday examples written for this page)
    TermWhat it meansEveryday example
    ReliabilityConsistency: the measure gives the same result when the same thing is measured again under the same conditionsA kitchen scale shows 500 g every time the same bag of rice is weighed
    Test-retest reliabilityScores stay similar when the same people are measured twice, some time apartA typing test gives each student nearly the same speed on Monday and on Friday
    Inter-rater reliabilityTwo or more observers who code the same behavior independently give the same codesTwo referees watching the same play both call it a foul
    ValidityAccuracy of meaning: the measure or study captures what it claims to captureA driving test that includes actual driving, not only a written quiz
    Construct validityThe measure fits the concept it is named afterCounting words written in two minutes is a poor measure of "creativity"
    Criterion validityScores relate to an outside standard they should predict or matchScores on a fitness test match how far students actually run in 12 minutes
    Internal validityThe design rules out other explanations for a resultBoth groups study in the same quiet room, so noise cannot explain a difference
    External validityThe result applies beyond the people and setting studiedA finding from one swim team may not hold for all teenagers
    Random errorUnpredictable ups and downs that differ from one measurement to the nextA stopwatch started a little early on some trials and a little late on others
    Systematic error (bias)Error that pushes results in the same direction every timeA thermometer that always reads 2 degrees high
    Blind procedureThe person observing or recording does not know the condition or the expected answerA judge tastes two cookies without knowing which recipe is which

    How the two ideas reach the data analysis. Random error (low reliability) adds noise. Scores spread out more, real differences between groups become harder to detect, and correlations come out weaker than the true relationship. Taking more measurements and averaging them reduces random error. Systematic error (low validity) is different: it shifts or distorts results the same way every time, so averaging more data does not remove it. A large sample measured with a biased tool gives a precise estimate of the wrong thing. That is why reliability is necessary for validity but not enough: a measure must be consistent before it can be accurate, yet a consistent measure can still be consistently wrong.

    The case. In 1904 a horse called Hans drew crowds in Berlin. His owner, Mr. von Osten, a former mathematics teacher, claimed that Hans could read, count and add, answering by tapping his hoof. Oskar Pfungst, a co-worker of the psychologist Carl Stumpf at the Psychological Institute in Berlin, tested the claim (Pfungst, 1911, chapter II). Read Source 1 with the class.

    With regard to the number of experiments and their performance, the following precautions were observed. A sufficiently large number of tests was made in each series in order to obviate the possibility of the contention that the horse's errors were due to chance. The conditions of experimentation were such that the further contention that he happened to be tired or otherwise indisposed, whenever the reactions seemed to be inadequate, could not be offered. The possibility of confusing the horse by means of unwonted conditions also had to be avoided. For this reason it was necessary to alternate the trial in which procedure was with the knowledge of the answer on the part of the questioner, with the trial in which the procedure was without such knowledge. Such precautions had hitherto been neglected, and therefore those negative results which had been occasionally obtained in single trials, could not claim objective validity, even though the persons making the tests were subjectively convinced.

    [...]

    The following tests were made in which the method was such that when the problem was presented to the horse, the correct solution was known to none of those present, least of all to the questioner. This method we shall designate in the following report as "procedure without knowledge" whereas we shall call the method in which the answer was known to the questioner, "procedure with knowledge".

    In order to discover if the horse could read numbers, a series of cards on which numerals were blazoned, were exposed to the horse's view in such a way that none of those present was able to see them, and the horse was asked to tap the numbers as they were shown. This experiment was repeated at different times and in all there were 49 tests in which procedure was without knowledge, and 42 in which procedure was with knowledge. In the case of the former there were 8% correct responses, whereas in the case of the latter 98% of the answers were right. [...]

    [...]

    Whenever the questioner knew the solution, nearly all of the horse's answers were correct; but when the answers were unknown to the questioner, the horse's responses were, with only a few exceptions, quite unsuccessful. Since the few exceptional cases must be regarded as fortuitous, the conclusion is warranted that the horse was unable to read numerals without assistance.

    [...]

    The horse's reputed aptitude in computation was tested in the following way. Mr. von Osten whispered a number in the horse's ear so that none of the persons present could hear. Thereupon I did likewise. Hans was asked to add the two. Since each of the experimenters knew only his own number, the sum, if known to anyone, could be known to Hans alone. Every such test was immediately repeated with the result known to the experimenters. In 31 tests in which the method was procedure without knowledge, 3 of the horse's answers were correct, whereas in the 31 tests in which the method was procedure with knowledge, 29 of his responses were correct. Since the three correct answers in the cases in which procedure was without knowledge evidently were accidental, the results of this series of experiments show that Hans was unable to solve arithmetical problems.

    Oskar Pfungst, translated by Carl L. Rahn, Source 1: Pfungst on testing the horse "with knowledge" and "without knowledge" (1907; English translation 1911) (1907; this edition 1911). Public domain (published 1911). Source text.
    • Reading a design for validity: Source 1, paragraph 1

      Why did Pfungst alternate tests in which the questioner knew the answer with tests in which no one did?

      Result: Alternating spreads fatigue, mood and setting across both conditions, so a difference between them can be traced to the questioner's knowledge. Pfungst notes that earlier single trials "could not claim objective validity, even though the persons making the tests were subjectively convinced": confidence is not evidence.

    • From percentages back to counts: Source 1, paragraph 3

      Pfungst reports 8% correct in 49 tests without knowledge and 98% in 42 tests with knowledge. How many correct answers is that, and what was the test really measuring?

      Result: 49 x 0.08 = 3.92, so 4 correct (4/49 = 8.2%; 3 or 5 would round to 6% or 10%). 42 x 0.98 = 41.16, so 41 correct (41/42 = 97.6%). A "reading test" that tracks whether the questioner knew the answer is measuring the questioner, not the horse: a construct validity failure.

    • Systematic error and a comparison (the warm-up thermometer)

      The thermometer reads 70 degrees when the room is really 68, and 76 when it is really 74. Which uses of the data are still valid?

      Result: Each reading is 2 degrees too high, so a monthly mean is also 2 degrees too high. The change is 76 - 70 = 6 degrees, the same as the true change 74 - 68 = 6, because a constant bias cancels in a difference. Reliable, biased for absolute values, still usable for changes.

    • Random error and a group difference

      A reaction-time app (invented example) records each trial up to 50 milliseconds too early or too late, at random. Two groups of 5 students truly differ by 20 milliseconds on average. What can go wrong?

      Result: Each recorded trial can land anywhere in a 100-millisecond window around the true time, a window 5 times as wide as the real 20-millisecond difference. With only 5 students per group, the noise can hide or even reverse the difference. Fixes: a more precise timer, or many trials per student averaged together.

    • Naming the kind of validity at risk

      Name the problem: (a) a "creativity score" that counts how many words a student writes in 2 minutes; (b) a study of 20 college athletes reported as true for "all adults"; (c) a memory study in which the music group also got 5 extra minutes of study time.

      Result: (a) Construct validity: word count is speed, not creativity. (b) External validity: the sample is too narrow to generalize. (c) Internal validity: the extra time is a confound that could explain any difference.

    Close the segment with Diagram 1 and ask students to place the thermometer, the reaction-time app and the Hans "reading test" on one of its four targets.

  3. Guided Practice15 minutes

    Read Source 4 together. It is an invented study with invented data, and a small sample: 20 pedestrians per round at one corner, so its rates describe those people only and are not estimates for any city. The observers recorded public behavior without names or photos and without interacting with anyone; even so, a real study like this would need approval from a research review board.

    Invented study summary, written for this page. A research team wanted to know how often people waiting at one downtown crosswalk look at a phone while they wait. Two trained observers stood at the same corner at the same time and coded the same 20 pedestrians, without talking to each other. No names, photos or other identifying details were recorded, and the observers did not interact with anyone.

    Round 1 used this definition: "A person counts as using a phone if they seem distracted by it." Observer A coded 12 of the 20 pedestrians as using a phone, and Observer B coded 9. The two observers gave the same code for 17 of the 20 pedestrians: both said "phone" for 9 people and both said "no phone" for 8. For the other 3 people, A said "phone" and B said "no phone."

    The team then rewrote the definition: "A person counts as using a phone if their eyes are on a screen for at least 2 seconds while they wait for the signal." Round 2 took place a week later, with 20 new pedestrians. Observer A coded 11 as using a phone and Observer B coded 10. The observers agreed on 19 of the 20 pedestrians: both said "phone" for 10 and both said "no phone" for 9. For the one remaining person, A said "phone" and B said "no phone."

    The team's note: "Before we report a phone-use rate, we need to know that the rate does not depend on which of us was watching."

    SVHS (invented scenario), Source 4: Two observers at a crosswalk (invented scenario with invented data) (2026). Original passage written for this page.
    1. Agreement in round 2. Percent agreement is the number of cases both observers coded the same, divided by the number of cases. Round 2: 10 + 9 = 19 agreements out of 20, so 19 / 20 = 95%. Have pairs work out round 1 the same way on their own; it returns in the quiz.
    2. The rate depends on who watched. In round 1, Observer A would report a phone-use rate of 12 / 20 = 60% and Observer B 9 / 20 = 45%. The 15-point gap comes from the observers alone, because they watched the same 20 people at the same moment. Any analysis built on one observer's numbers would carry that gap with it.
    3. Check the counts. In round 1, A's 12 "phone" codes are the 9 shared ones plus the 3 disagreements, and B's 9 are the shared 9: the paragraph's numbers fit together. Ask pairs to run the same check on round 2.
    4. Agreement is not accuracy. Ask: if both observers shared the same blind spot, for example missing phones held low, would their agreement reveal it? (No. High agreement shows reliability; it cannot show that the codes match what people were really doing.) Keep this question open for Source 2.
  4. Independent Practice15 minutes

    Students read Sources 2, 3 and 5 on their own and use them, with Sources 1 and 4, for the quiz and homework. Source 2 is the report a group of 13 observers signed in September 1904, before Pfungst's tests. Source 3 is Pfungst's account of what he found. Source 5 is an invented study with invented data from only 8 volunteers, a small sample: its numbers can show how to reason about reliability and validity, but they could not settle the question for any real questionnaire. Pfungst's tests, too, involved one horse and a few questioners, and his laboratory check used 25 people.

    "The undersigned came together for the purpose of investigating the question whether or not there is involved in the feats of the horse of Mr. von Osten anything of the nature of tricks, that is, intentional influence or aid, on the part of the questioner. After a careful investigation they are unanimously agreed that such signs are out of the question under the conditions which were maintained during this investigation. This decision in no wise takes into account the character of the men exhibiting the horse, and who are known to most of the undersigned: In spite of the most attentive observation, nothing in the way of movements or other forms of expression which might have served as a sign, could be discovered. In order to obviate involuntary movements on the part of those present, one series of tests was made with only Mr. Busch present. Among these tests were some in which, according to his professional judgment, the possibility of tricks of the sort commonly used in training, was excluded. Another series of tests was made in such a way that the correct answers to the questions which Mr. von Osten put to the horse, were unknown to the questioner. From previous observation the greater number of the undersigned also know of a large number of cases in which, during the absence of Mr. von Osten and Mr. Schillings, other persons were likewise able to obtain correct responses from the horse. Among these were some cases in which the questioner did not know the correct solution of the problem or was mistaken about it. And lastly, several of the undersigned have become acquainted with the method which Mr. von Osten used, which has little in common with methods of training, and is patterned after the instruction given in the elementary schools. As a result of these observations the undersigned are of the opinion that unintentional signs of the kind which are at present familiar, are likewise excluded. They are unanimously agreed that this much is certain: This is a case which appears in principle to differ from any hitherto discovered, and has nothing in common with training, in the usual sense of that word, and therefore is worthy of a serious and incisive investigation.

    The September 1904 commission, printed in Oskar Pfungst, translated by Carl L. Rahn, Source 2: The commission report of September 12, 1904 (printed in Pfungst, 1911) (1904; this edition 1911). Public domain (published 1911). Source text.

    Investigations of the other senses became needless, for I had, in the meantime, succeeded in discovering the essential and effective signs in the course of my observations of Mr. von Osten. These signs are minimal movements of the head on the part of the experimenter. As soon as the experimenter had given a problem to the horse, he, involuntarily, bent his head and trunk slightly forward and the horse would then put the right foot forward and begin to tap, without, however, returning it each time to its original position. As soon as the desired number of taps was given, the questioner would make a slight upward jerk of the head. Thereupon the horse would immediately swing his foot in a wide circle, bringing it back to its original position. (This movement, which in the following exposition we shall designate as "the back step", was never included in the count.) Now after Hans had ceased tapping, the questioner would raise his head and trunk to their normal position. This second, far coarser movement was not the signal for the back-step, but always followed it. But whenever this second movement was omitted, Hans, who had already brought back his foot to the original position and had thereby put it out of commission, as it were, would give one more tap with his left foot.

    If it was true that these movements of the questioner guided the horse in his tapping, then the following must be shown: First, that the same movements were observed in Mr. von Osten in every case of successful response; secondly, that they recurred in the same order or with only slight individual changes in the case of all who were able to obtain successful responses from the horse, and that they were absent or occurred at the wrong time in all cases of unsuccessful response. Furthermore, it was observed that it was possible to bring about unsuccessful reactions on the part of the horse as soon as the movements were voluntarily suppressed, and conversely, that by voluntarily giving the necessary signs the horse might be made to respond at pleasure; so that anyone who possessed the knowledge of the proper signs could thereby gain control over the process of response on the part of the horse. These requirements have all been fulfilled, as we shall see in the following pages.

    [...]

    [...] I thus tested, all in all, twenty-five persons, of every age and sex (including children of five and six years), differing also in nationality and occupation. None of them was aware of the purpose of the experiments. It could not escape them, to be sure, that they were being watched. It was also evident to them that the things noted were certain tensions and movements; but none of my subjects discovered what the particular phenomena were that I was looking for. Only in a few isolated instances did they report that they were conscious of any movements on their part. With the exception of two persons, they all made the same involuntary movements which were described in chapter II, the most important of which was the sudden slight upward jerk of the head when the final number was reached. [...]

    Oskar Pfungst, translated by Carl L. Rahn, Source 3: Pfungst finds the signal and tests it on people (1907; English translation 1911) (1907; this edition 1911). Public domain (published 1911). Source text.

    Invented study summary, written for this page. A group of teachers wrote a 10-item "Study Focus" questionnaire. Students rate statements such as "I can keep my mind on my work for a long time" from 1 (not like me) to 5 (very like me), so totals run from 10 to 50. Eight student volunteers took part, with their own and a parent's written permission. They could skip any item or stop at any time, and their scores were kept under code letters A to H.

    Step 1, consistency. Each volunteer took the questionnaire twice, two weeks apart. First totals, A to H: 42, 35, 47, 30, 38, 44, 33, 40. Second totals, A to H: 40, 37, 45, 33, 37, 42, 35, 43.

    Step 2, accuracy. During one 30-minute study period, an observer who had not seen any questionnaire scores recorded how many minutes each volunteer spent on the assigned task. Minutes on task, A to H: 17, 24, 18, 19, 20, 22, 15, 25.

    The teachers' first draft conclusion: "Our questionnaire gives almost the same score twice, so it is an accurate measure of how focused students are when they study."

    SVHS (invented scenario), Source 5: A questionnaire checked twice (invented scenario with invented data) (2026). Original passage written for this page.

    Task: in one paragraph, decide whether the 1904 observers' conclusion in Source 2 was a failure of reliability, of validity, or of both. Quote Source 2 once and Source 3 once, with paragraph numbers.

  5. Closure5-10 minutes

    Exit ticket: "Give one example of a measure that is reliable but not valid, and say what it would do to an average computed from it."

    Teacher note on research ethics: Pfungst writes in Source 3, paragraph 3 that none of the 25 people he tested "was aware of the purpose of the experiments." Point out that this was ordinary practice in 1907. Today, the federal rules for research with people (the Common Rule, 45 CFR 46) require informed consent, and a study may leave out information about its purpose only when a review board approves; the rules also call for telling participants more afterward when appropriate. Students in this lesson plan studies on paper only.

    Teacher note on the sources: Sources 1-3 are from the 1911 English translation of Pfungst's book. The 1904 report rules out tricks and describes von Osten's school-style teaching method. Pfungst's explanation does not accuse anyone of trickery: Source 3, paragraph 1 says the questioner made the movements "involuntarily."

Differentiation Strategies

For Struggling Students

  • Give a two-column organizer, "consistent?" and "accurate?", and have students fill it in for each source before writing
  • Pre-mark in Source 1 the sentences that give numbers of tests and percentages
  • Let students compute percent agreement with a fraction strip: agreements on top, total cases below

For Advanced Students

  • Percent agreement ignores the agreements two observers would reach by chance. Read about Cohen's kappa and explain, in words, why it is lower than percent agreement for round 1 of Source 4
  • Use technology to compute the correlation between the two sets of totals in Source 5, and between the first totals and minutes on task, then explain what each number says about reliability and validity
  • Pfungst's lab tests used 25 people "of every age and sex." Explain how this design choice supports the external validity of his explanation

Assessment Guidance

What to Look For

Strong answers keep the two ideas separate (consistent versus accurate), tie each claim to a quoted line with its paragraph number, and say what the error does to the numbers: random error adds spread and weakens correlations, systematic error shifts results and is not fixed by more data. Watch for students who treat agreement among observers, or a high test-retest match, as proof of accuracy.

02

Classroom Activities

3 Activities

1

Consistent, Accurate, Both or Neither? Sorting Six Measures

15 minGroups of 3

Each group gets 6 cards, each describing an invented measure. For every card the group decides whether the main problem is reliability, validity, both, or neither, and writes one sentence on what the problem would do to the data analysis.

The 6 Measure Cards

  1. A wrist heart-rate monitor gives readings 20 beats per minute apart when a person sitting still checks it twice, 10 seconds apart.
  2. A "kindness" survey asks one question, "Are you a kind person?", and almost everyone answers "yes" on both days it is given.
  3. Two coaches rate the same 10 dives on a 1-10 scale and differ by 3 or more points on 6 of the dives.
  4. A teacher times students reading two different passages of equal length. Times on the two passages agree closely, and they match how long the same students take on a separate silent-reading task.
  5. A memory study tests one group in a quiet library and the other group in a room next to a noisy cafeteria.
  6. A tape measure printed with its marks 10% too far apart is used to measure the arm span of every student twice; each student gets the same number both times.

Answer Key

1: Reliability (random error): noisy readings widen the spread, so a single reading means little and many must be averaged. 2: Validity (construct): people tend to describe themselves favorably, so scores are consistent but cluster at the top and cannot separate kinder from less kind people. 3: Reliability (inter-rater): a diver's score depends on which coach rated, which adds noise to any comparison. 4: Neither: consistent across passages and related to an outside task, which is evidence of both reliability and criterion validity. 5: Validity (internal): noise is a confound, so a difference between groups could come from the room rather than the variable studied. 6: Validity (systematic error): every reading is about 9% too small (a true 110 cm reads as 100 cm), so averages are wrong, although comparisons of which student is taller still hold.

Debrief Questions

  • Card 6 is perfectly consistent. Why is it still a problem, and which kind of analysis would it spoil?
  • Which card would be helped by collecting more data, and which would not?
2

Blind the Test on Paper: The Color-Naming Parrot

20 minPairs

An invented online video claims that a pet parrot can name the color of any card its owner holds up. Pairs write, on paper only, a test plan that would separate the parrot's ability from cues given by people, using Pfungst's "procedure without knowledge" as the model. No one films, contacts or tests a real animal.

Test Plan Template

  1. The claim, stated so it can be tested
  2. Operational definition of a correct answer (what counts, and who decides)
  3. How cards are chosen and shown so that no person in view knows the color (the blind step)
  4. Number of trials, and the score expected by guessing alone if there are 4 colors
  5. How a second observer will record answers, and how agreement will be checked
  6. Care for the animal: short sessions, breaks, the usual treats, stop if it seems stressed
  7. Which result would support the claim, and which would not

Review Questions

  • Could anyone in the room still give a cue without meaning to? How does your plan stop it?
  • If the parrot scores well only when the owner can see the card, what has the test measured?

Variation for Advanced Students

Add a second layer of blinding: the person who scores the parrot's answers from a recording does not know which color was shown until after scoring. Explain which error each layer removes.

3

Agreement Check: Coding Ten Written Moments

20 minPairs, working independently first

Each student codes 10 short invented descriptions of students in a group discussion as "participating" or "not participating," without talking to a partner. Round 1 uses a vague definition; round 2 uses a sharper one. After each round, partners compute their percent agreement.

The 10 Moments (invented)

  1. Maya asks the group, "What if we used the second graph instead?"
  2. Leo nods while others talk but says nothing.
  3. Ana writes the group's ideas on the shared sheet without speaking.
  4. Sam says, "I agree," and then looks at his phone.
  5. Priya explains why she thinks the first answer is wrong.
  6. Jon draws a quick sketch of an idea and slides it to the group.
  7. Kim looks out the window for most of the discussion.
  8. Ravi asks, "Can you explain how you got that number?"
  9. Tess reads the next question aloud and asks who wants to start.
  10. Omar laughs at a joke and then goes back to his own worksheet.

Round 1 and Round 2 Definitions

Round 1: "Participating means being involved in the discussion." Round 2: "Participating means saying an idea, a reason or a question about the task to at least one group member. Agreeing in one or two words does not count."

Round 2 Key and Teacher Note

Under the round 2 definition, moments 1, 5, 8 and 9 are coded "participating" and the other six are not. Round 1 has no key: disagreement is the point. Most pairs agree more in round 2. Then ask whether the sharper definition is also more valid: it codes Ana (3) and Jon (6) as not participating, although both contributed to the task. A definition can gain reliability and lose some validity at the same time.

03

Diagrams & Visual Aids

2 diagrams

Diagram 1: Reliability and Validity as Four Targets

Reliable and valid tight and on target Reliable, not valid tight but off target Unreliable scattered around target Neither scattered and off target
Each target is one measure used five times; the center dot is the true value. Tight clusters mean consistent results (reliable); clusters on the center mean accurate results (valid). In the third target the five dots scatter widely, although their average falls close to the center: a single reading cannot be trusted, and only many readings averaged together get near the truth. Drawing written for this page.

Diagram 2: Hans's Answers With and Without the Questioner's Knowledge

0% 25% 50% 75% 100% Percent correct 98% 8% Reading numbers 42 and 49 tests 100% 0% Reading words 14 and 12 tests With knowledge (questioner knew the answer) Without knowledge
Percent of correct answers in Pfungst's tests of reading numbers and reading words (Pfungst, 1911, chapter II). Numbers: 98% of 42 tests with knowledge, 8% of 49 tests without. Words: 100% of 14 tests with knowledge, 0% of 12 tests without.

04

Homework Assignment

~30 min

Homework: Consistent or Accurate?

Directions: Part 1 uses Sources 1-3: Source 1 is printed in Direct Instruction, and Sources 2 and 3 in Independent Practice. Part 2 uses Source 5, printed in Independent Practice, which is an invented study with invented data. Quote sources with their paragraph numbers and show every computation. Plans are written on paper only.

Part 1: The Clever Hans Investigation (Problems 1-3)

  1. Source 2 says that "unintentional signs of the kind which are at present familiar, are likewise excluded." Explain what the words "at present familiar" reveal about the limit of the observers' method, and use Source 3, paragraph 1 to show what kind of sign they had no way to look for.
  2. In Source 1, paragraph 5, Hans gave 3 correct answers in 31 addition tests without knowledge and 29 correct answers in 31 tests with knowledge. Compute each percentage to the nearest whole percent. Then explain what this difference shows about what the tapping actually measured.
  3. Source 3, paragraph 2 lists what "must be shown" if the questioner's movements guide the horse. Choose two of the conditions and explain how meeting each one makes Pfungst's explanation more valid than the 1904 report's conclusion.

Part 2: The Study Focus Questionnaire (Problems 4-6)

  1. Using Source 5, paragraph 2, find each volunteer's change from the first total to the second (second minus first). What is the largest change in either direction, and what does the pattern of changes say about the questionnaire's test-retest reliability?
  2. Using Source 5, paragraphs 2 and 3, find the 4 volunteers with the highest first totals and the 4 with the lowest. Compute the mean minutes on task for each set of 4. Do these data support the teachers' draft conclusion in paragraph 4? Explain in terms of reliability and validity.
  3. On paper only, plan a better way to measure "focus while studying" for a study like the one in Source 5. Give an operational definition, one way to check reliability, one way to check validity, and the analysis you would run on the results.

Rubric

CriterionFull Credit (2 pts)Partial Credit (1 pt)No Credit (0 pts)
ConceptsReliability and validity are kept distinct and the right kind (test-retest, inter-rater, construct, criterion, internal, external) is namedBoth ideas used, but the kind is missing or one term is misappliedTerms missing or confused
EvidenceQuotations with source and paragraph numbers support each claim about a sourceQuotations without paragraph numbers, or one claim unsupportedNo quotations
Link to data analysisSays what the error does to the numbers (spread, mean, correlation, conclusion) and whether more data would helpNames the error without its effect on the analysisNo link to the data
Accuracy of computation and plansProblems 2, 4 and 5 correct with work shown; the plan in Problem 6 is testable, blind where needed and on paper onlyOne computation error, or a plan missing a reliability or validity checkSeveral errors or an untestable plan

05

Quiz: 20 Questions

Interactive, with answers

Instructions

Source 1 is printed in Direct Instruction, Source 4 in Guided Practice, and Sources 2, 3 and 5 in Independent Practice. Sources 4 and 5 are invented studies with invented data. Choose the best answer for questions 1-14 and write short answers for questions 15-20, citing paragraph numbers where a question uses a source.

Multiple choice: pick an option to check it. Short answer: write your answer, then reveal the model answer.

0 of 20 answered · 0 correct

  1. Question 1 of 20 · Multiple Choice

    Two judges independently score the same 12 skateboard routines and give almost identical scores. This is evidence that the scoring is

  2. Question 2 of 20 · Multiple Choice

    In Source 1, paragraph 2, what does Pfungst mean by "procedure without knowledge"?

  3. Question 3 of 20 · Multiple Choice

    According to Source 1, paragraph 1, why could the negative results from earlier single trials "not claim objective validity"?

  4. Question 4 of 20 · Multiple Choice

    Pfungst writes in Source 1, paragraph 4 that the few correct answers without knowledge "must be regarded as fortuitous." What does he mean?

  5. Question 5 of 20 · Multiple Choice

    In Source 2 the 13 observers "are unanimously agreed" that no tricks were involved, and they rule out the familiar kinds of unintentional sign, yet Pfungst later found signs. What does this case show about observation?

  6. Question 6 of 20 · Multiple Choice

    In Source 3, paragraph 1, what signal told the horse to stop tapping?

  7. Question 7 of 20 · Multiple Choice

    Source 3, paragraph 2 says the same movements should be "absent or occurred at the wrong time in all cases of unsuccessful response." Why does checking the failures matter?

  8. Question 8 of 20 · Multiple Choice

    Source 3, paragraph 3 says none of the 25 people Pfungst tested "was aware of the purpose of the experiments." How did this protect the validity of the test?

  9. Question 9 of 20 · Multiple Choice

    Use Source 4, paragraph 2. What was the observers' percent agreement in round 1?

  10. Question 10 of 20 · Multiple Choice

    In Source 4, why did agreement rise from round 1 to round 2?

  11. Question 11 of 20 · Multiple Choice

    Source 5, paragraph 2 describes giving the same questionnaire to the same volunteers two weeks apart. Which property does this step check?

  12. Question 12 of 20 · Multiple Choice

    In Source 5, paragraph 3, the observer "had not seen any questionnaire scores." Why does that matter?

  13. Question 13 of 20 · Multiple Choice

    A step-counting app adds about 500 extra steps to every day's total. A student compares her mean daily steps in September with October. Which statement is accurate?

  14. Question 14 of 20 · Multiple Choice

    A sleep diary has a lot of random error: students often guess their bedtime. A researcher correlates diary sleep hours with grades. Compared with the true relationship, the correlation found will most likely be

  15. Question 15 of 20 · Short Answer

    Use Source 3, paragraph 3. What percent of the 25 people Pfungst tested made the same involuntary movement? Explain what testing people "of every age and sex," of different nationality and occupation, adds to his explanation.

  16. Question 16 of 20 · Short Answer

    Use Source 4, paragraph 3. What phone-use rate would each observer report for round 2? Explain why the team wanted high agreement before reporting any rate.

  17. Question 17 of 20 · Short Answer

    Use Source 5, paragraph 2. Compute the mean of the first totals and the mean of the second totals. Explain why two similar means are not, by themselves, enough to show test-retest reliability.

  18. Question 18 of 20 · Short Answer

    Explain the difference between random error and systematic error. For each, give an example from this lesson and say whether collecting more data would reduce it.

  19. Question 19 of 20 · Short Answer

    Pfungst's "procedure without knowledge" is an early form of a blind procedure. Explain the idea, and describe, on paper only, how an invented study of a new reading app could use a blind observer.

  20. Question 20 of 20 · Short Answer

    Explain why a measure can be reliable without being valid, but cannot be highly valid unless it is reliable. Use Source 2 as one example.

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06

Frequently Asked Questions

10 Questions

What does D2.Psy.5.9-12 mean?

D2.Psy.5.9-12 asks high school students to explain how the validity and reliability of observations and measurements relate to data analysis. In practice, students should be able to say whether a measure is consistent (reliable) and accurate (valid), and what a weakness in either one does to the numbers a study reports.

What course teaches D2.Psy.5.9-12?

It is usually taught in a high school psychology course, in the research methods unit near the start of the year. It is one of the C3 Framework's psychology indicators, which come from Appendix B of the framework, the Psychology Companion Document.

What is the difference between reliability and validity in psychology?

Reliability is consistency and validity is accuracy. A bathroom scale that shows the same wrong weight every morning is reliable but not valid. A personality quiz that gives you a different type every time you take it is not reliable, and so it cannot be trusted as a valid measure of anything stable either.

Why do psychology classes study Clever Hans?

It is a well-documented case of a measurement that seemed to work but measured the wrong thing. Many careful observers watched the horse and saw no signals, and only tests in which no one present knew the answer showed what was going on. The case is a classic illustration of why researchers use blind procedures and operational definitions.

What are the main kinds of validity students should know?

Four are enough for this indicator: construct validity (the measure fits the concept), criterion validity (scores relate to an outside standard), internal validity (the design rules out other explanations) and external validity (results apply beyond the sample). Students should be able to name the kind and say what its failure would do to a conclusion.

How do psychologists check inter-rater reliability?

Two or more trained observers code the same behavior independently, and the codes are compared. The simplest statistic is percent agreement: for example, two raters who give the same code to 45 of 50 recorded moments agree 90% of the time. Researchers often also report a statistic such as Cohen's kappa, which corrects for the agreement two raters would reach by chance.

Do students collect data from people in this lesson?

No. Students analyze historical data from Pfungst's book and invented data from two invented studies, and every plan they write stays on paper. The coding activity uses invented written descriptions, not observations of real classmates. Any real study with people would need consent and approval from a research review board.

How does D2.Psy.5.9-12 connect to math standards?

It draws on the same statistics skills as the Common Core high school statistics standards: computing and interpreting a correlation coefficient (HSS.ID.C.8) and understanding the differences among surveys, experiments and observational studies (HSS.IC.B.3). The psychology indicator adds the question of whether the numbers measure what they claim.

What mistakes do students make with reliability and validity?

A common one is using "reliable" in its everyday sense of "trustworthy" and so treating it as the same as "valid." Others are naming a kind of validity without saying what its failure would do to the data, and confusing internal validity (is the design sound?) with external validity (does the result apply to other people?).

Is there a middle school version of D2.Psy.5?

No. The C3 Framework writes its psychology indicators for grades 9-12 only. Middle school students meet related ideas in science and statistics, such as repeating measurements and checking a procedure, and the high school indicator builds on them.