r.g. bias | [email protected] | name that tune. song title? performer(s)? 1

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R.G. Bias | [email protected] | Name that tune. Song title? Performer(s)? 1

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R.G. Bias | [email protected] |

Name that tune.

 Song title?  Performer(s)?

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R.G. Bias | [email protected] |

Scientific Method

“Finding New Information”3/22/2010

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R.G. Bias | [email protected] |

First . . .

Reaction to a mid-course class evaluation.– Just 8 respondents.– Mostly positive.– One answer that troubled me:

Course objectives and assignments are clearly stated.

25% (2) 50% (4) 12.5% (1) 12.5% (1) 0% (0)

Level-setting. Where are we and where are we headed?

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R.G. Bias | [email protected] |

ObjectivesAfter this class (or these 3 weeks of classes) you

will (it is my hope!): know something about how scientists

(information scientists) gather new information. AND you’ll be good at evaluating information

others offer you. I want to arm you with a scientist’s skepticism,

and a scientist’s tools to conduct research and evaluate others’ research.

- Randolph – remember to take roll.

R.G. Bias | [email protected] |5

There are three kinds of lies: lies, damned lies, and statistics.– Benjamin Disraeli (1804 – 1881), British

politician

R.G. Bias | [email protected] |6

Statistics are like a bikini. What they reveal is suggestive, but what they conceal is vital. – Aaron Levenstein, U.S. politician

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The statistics on sanity are that one out of every four Americans is suffering from some form of mental illness. Think of your three best friends. If they're okay, then it's you. – Rita Mae Brown, U.S. author

R.G. Bias | [email protected] |8

First . . .

There are two components of this and any class: Instruction and Evaluation.

Let’s get the evaluation out of the way, early.

Need one volunteer.

R.G. Bias | [email protected] |9

“Research shows . . .”

Finger length is a good (and quick!) indicator of intelligence.

One volunteer – measure your finger length in cm. However.

R.G. Bias | [email protected] |10

Hmmmm . . .

Everyone in the class will get a grade of “C”

But still, we can continue with the “instruction” part of the course.

R.G. Bias | [email protected] |11

Oh, so maybe . . .

Just THIS person isn’t too smart. Or maybe finger length is NOT a

good indicator of intelligence.

R.G. Bias | [email protected] |12

Now, an experiment

I will hand you each a slip of paper. Please read it an do NOT let anyone else read it.– Women receive a white slip of paper.– Men receive a green slip of paper.

After everyone has read his/her slip of paper and refolded it, I’ll show some letters of the alphabet, one at a time, for one second each.

After the last one, I’ll say “Go,” and ask you to write down the letters, in order.

Any questions?

R.G. Bias | [email protected] |13

OK, pencils down.

R.G. Bias | [email protected] |14

JFMAMJJASOND

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Write down the letters.

In order!

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AnswersJFMAMJJASOND

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Exp. 1 -- Data

All correct Not all correct

Total

Men 7 (47%) 8 15

Women 3 (13%) 20 23

Total

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Who among you . . .

. . . is a statistical wizard? . . . has experience conducting

research?

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Many ways to learn new things

Method of Authority– trusted authority tells you something

Method of Reason – follow basic logical laws from philosophy

Modeling Trial-and-error Intuition Scientific Method

– belief on the basis of experience

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Three Paths to “Belief”

1 – Naïve acceptance.2 – Cynicism.3 – Critical skepticism.

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Critical Skepticism!

Rabbit pie story.

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What you’ll learn the next 3 weeks

Reliability. (“Oh, just measure it however.”)

Validity. (Finger length a good indicator of intelligence?)

Sampling – picking a representative sample and then generalizing to a larger population

Why larger samples are better

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What you’ll learn (cont’d.):

How to represent a group of numbers, meaningfully. – Frequency distributions– Measures of central tendency– Measures of dispersion (spread)– Graphs/Tables

Operationalizing variables (“intelligence”) Probability Correlation

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What you’ll learn (cont’d.):

Different measurement scales What makes a good research

question? Experimental design

– Independent and dependent variables– Controls, counterbalancing, and

confounds– Hypothesis testing– Inferential statistics (is THAT number

really bigger than THIS number?)

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More than anything else . . .

. . . scientists are skeptical. “Scientific skepticism is a gullible

public’s defense against charlatans and others who would sell them ineffective medicines and cures, impossible schemes to get rich, and supernatural explanations for natural phenomena.”

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Research Methods

Researchers are . . .- like detectives – gather evidence,

develop a theory.- like judges – decide if evidence meets

scientific standards.- like juries – decide if evidence is

“beyond a reasonable doubt.”

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Science . . .

. . . Is a cumulative affair. Current research builds on previous research.

The Scientific Method:– is empirical (acquires new knowledge

via direct observation and experimentation)

– entails systematic, controlled observations.

– is unbiased, objective.– entails operational definitions.– is valid, reliable, testable, critical,

skeptical.

R.G. Bias | [email protected] |28

CONTROL

. . . is the essential ingredient of science, distinguishing it from nonscientific procedures.

The scientist, the experimenter, manipulates the Independent Variable (IV – “treatment – at least two levels – “experimental and control conditions”) and controls other variables.

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More control

After manipulating the IV (because the experimenter is independent – he/she decides what to do) . . .

He/she measures the effect on the Dependent Variable (what is measured – it depends on the IV).

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Key Distinction

IV vs. Individual Differences variable The scientist MANIPULATES an IV,

but SELECTS an Individual Differences variable (or “subject” variable).

Can’t manipulate a subject variable. – “Select a sample. Have half of ‘em get

a divorce.” Consider an Individual Difference, or

Subject Variable, as a TYPE of IV.

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Operational Definitions

Explains a concept solely in terms of the operations used to produce and measure it.– Bad: “Smart people.”– Good: “People with an IQ over 120.”– Bad: “People with long index fingers.”– Good: “People with index fingers at least 7.2

cm.”– Bad: Ugly guys.– Good: “Guys rated as ‘ugly’ by at least 50% of

the respondents.”

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Validity and Reliability

Validity: the “truthfulness” of a measure. Are you really measuring what you claim to measure? “The validity of a measure . . . the extent that people do as well on it as they do on independent measures that are presumed to measure the same concept.”

Reliability: a measure’s consistency. A measure can be reliable without being

valid, but not vice versa.

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Theory and Hypothesis

Theory: a logically organized set of propositions (claims, statements, assertions) that serves to define events (concepts), describe relationships among these events, and explain their occurrence.– Theories organize our knowledge and guide

our research

Hypothesis: A tentative explanation.– A scientific hypothesis is TESTABLE.

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Goals of Scientific Method Description

– Nomothetic approach – establish broad generalizations and general laws that apply to a diverse population

– Versus idiographic approach – interested in the individual, their uniqueness (e.g., case studies)

Prediction– Correlational study – when scores on one variable can

be used to predict scores on a second variable. (Doesn’t necessarily tell you “why.”)

Understanding – con’t. on next page Creating change

– Applied research

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Understanding

Three important conditions for making a causal inference:– Covariation of events. (IV changes, and

the DV changes.)– A time-order relationship. (First the

scientist changes the IV – then there’s a change in the DV.)

– The elimination of plausible alternative causes.

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Confounding When two potentially effective IVs are allowed to

covary simultaneously.

– Poor control!

Men, overall, did a better job of remembering the 12 “random” letters. But the men had received a different “clue.”

So GENDER (what type of IV? A SUBJECT variable, or indiv. differences variable) was CONFOUNDED with “type of clue” (an IV).

R.G. Bias | [email protected] |

References

Hinton

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R.G. Bias | [email protected] |

Going forward . . .

Annotated bibliography due 3/24 (this Wednesday – same drill, hard-copy in class, digital copy to your TA).

Read those two books that are on reserve in the library – To know a fly and How to lie with statistics.

See you Wednesday.

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