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# First . . . - PowerPoint PPT Presentation

LIS 397.1 Introduction to Research in Library and Information Science Summer, 2003 Randolph G. Bias, Ph.D., CHFP rbias@ischool.utexas.edu cell: 512-657-3924. First. There are two components of this and any class: Instruction and Evaluation. Let’s get the evaluation out of the way, early.

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LIS 397.1Introduction to Research in Library and Information ScienceSummer, 2003Randolph G. Bias, Ph.D., CHFP rbias@ischool.utexas.educell: 512-657-3924

• 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.

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

• One volunteer – measure your finger length in cm.

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

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

• Just THIS person isn’t too smart.

• OK, everyone measure your right index finger.

• From the top (last) crease in your hand, to the tip of the finger.

• Write down the length, in cm.

• I’ll give everyone one penny.

• You HAVE to wager it:

• Turn it heads UP on your desk if you think that two people in this classroom share a birthday, and heads DOWN if you think that no two people share a birthday.

• . . . And complete the following columns:

• Your first name and last initial.

• Your birth month and day (I don’t care about the year).

• The length of your finger, in cm.

• The number of Major League Baseball games you’ve seen, in person.

• One favorite hobby.

• I will hand you each a slip of paper. Please read it an do NOT let anyone else read it.

• Women receive a pink slip of paper.

• Men receive a blue 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?

J

F

M

A

M

J

J

A

S

O

N

D

• In order!

J

F

M

A

M

J

J

A

S

O

N

D

• . . . is a statistical wizard?

• . . . has experience conducting research?

• 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

• You’ll know something about how scientists (information scientists) gather new information.

• AND you’ll be good at evaluating information others offer you.

1 – Naïve acceptance.

2 – Cynicism.

3 – Critical skepticism.

• Rabbit pie story.

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

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

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

• Why larger samples are better

• How to represent a group of numbers, meaningfully.

• Frequency distributions

• Measures of central tendency

• Graphing data

• Operationalizing variables (“intelligence”)

• Probability

• Correlation

• 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?)

• B.S. in psych from FSU

• Ph.D. in cognitive psych from UT-Austin

• Bell Labs for 3 years

• IBM-Austin for 11 years

• BMC Software for 5 years

• Co-founded Austin Usability 3 years ago

• Previously adjunct faculty member at UT; Have taught at UT, Rutgers, Huston-Tillotson, SWTSU

• Newly an assoc. prof. in the UT School of Information

To arm you with a scientist’s skepticism, and a scientist’s tools to conduct research and evaluate others’ research. The student who successfully completes this course will understand:

1 – descriptive statistics, and how to represent a collection of numbers

2 – how to design a good experiment (and evaluate if someone else has)

3 – inferential statistics and hypothesis testing

4 – other techniques human beings use to gain new information, such as qualitative methods.

• Bring in one claim that you hear today or tomorrow. On the news, in your reading, in an ad, wherever.

• Try to buy books. (Hinton book may not be in yet.)

See you tomorrow.