Introduction to Statistics for the Social Sciences
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Introduction to Statistics for the Social Sciences SBS200, COMM200, GEOG200, PA200, POL200, or SOC200 Lecture Section 001, Fall, 2013 Room 120 Integrated Learning Center (ILC) 10:00 - 10:50 Mondays, Wednesdays & Fridays . Welcome. http://www.youtube.com/watch?v=oSQJP40PcGI.

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Welcome

Introduction to Statistics for the Social SciencesSBS200, COMM200, GEOG200, PA200, POL200, or SOC200Lecture Section 001, Fall, 2013Room 120 Integrated Learning Center (ILC)10:00 - 10:50 Mondays, Wednesdays & Fridays.

Welcome

http://www.youtube.com/watch?v=oSQJP40PcGI


Welcome

  • In nearly every class we will use clickers to:

  • answer questions in class and participate in

  • interactive class demonstrations

  • We’ll register them on our webpage- then use ‘em!

student.turningtechnologies.com (Please note there is no “www”)

Complete this in the next two weeks and receive extra credit!

(By September 6th 2013)


Welcome

Please click in

My last name starts with a

letter somewhere between

A. A – D

B. E – L

C. M – R

D. S – Z


Welcome

Schedule of readings

Before next exam (September 27th)

Please read chapters 1 - 4 in Ha & Ha textbook

Please read Appendix D, E & F onlineOn syllabus this is referred to as online readings 1, 2 & 3

Please read Chapters 1, 5, 6 and 13 in Plous

Chapter 1: Selective Perception

Chapter 5: Plasticity

Chapter 6: Effects of Question Wording and Framing

Chapter 13: Anchoring and Adjustment


By the end of lecture today 9 4 13

Use this as your

study guide

By the end of lecture today9/4/13

Independent and dependent variables

Control versus treatment

True experimental versus quasi-experimental methodology

Single blind (placebo) procedure

Double blind procedure

Continuous vs Discrete Variables

Levels of Measurement

Nominal, Ordinal, Interval, & Ratio

Descriptive vsinferential


Welcome

Homework due – Friday (September 6th)

On class website: please print and complete homework worksheet #2

Please double check – Allcell phones other electronic devices are turned off and stowed away


Welcome

Notetakers

Name

Major

email

phone #


Welcome

Lab sessions

Everyone will want to be enrolled

in one of the lab sessions

No labs this week

We will start week

of September 9th


If you want to know if studying improves test performance in young children

Group 1 - studies & tested

If you want to know if studying improves test performance in young children

Break up group of kids into two groups

What is the independent variable?

What is the dependent variable?

How many levels are there of the IV?

Is this a “quasi” or “true” experiment?

“Between” or “within” participant design?

Group 2 - does not study & tested


If you want to know if ginseng drink is associated with feelings of satisfaction

First test group with placebo drink (sugar pill)

If you want to know if “Ginseng drink” is associated with feelings of satisfaction

What is the independent variable?

What is the dependent variable?

How many levels are there of the IV?

“Between” or “within” participant design?

Placebo

Then test same group with “Ginseng drink”


Welcome

Hiram S. Dudson 1930 – 1993Member ,Placebo Group


Placebo single blind versus double blind procedure

Placebo (single blind) versus double blind procedure

  • Single blind procedure (example: use of placebo)

  • Double blind procedure

What about experimenter bias?


So far

So far,

Measurement: observable actions

Theoretical constructs: concepts (like “humor” or “satisfaction”)

Operational definitions

Validity and reliability

Independent and dependent variable

Random assignment and Random sampling

Within-participant and between-participant design

Single blind (placebo) and double blind procedures


Continuous versus discrete

Duration

Continuous versus discrete

Continuous variable: Variables that can assume any value. There are

(in principle) an infinite number of values between any two numbers

Discrete variable: Variables that can only assume whole numbers.

There are no intermediate values between the whole numbers

Distance

Number of kids

Height

Number of eggs in a carton

Number of textbooks required for class


Categorical versus numerical data

Categorical versus Numerical data

Categorical data (also called qualitative data)

- a set of observations where any single observation is a

word or a number that represents a class or category

Numerical data (also called quantitative data)

- a set of observations where any single observation is a

number that represents an amount or count


Welcome

Categorical data (also called qualitative data) - a set of observations where any single observation is a word or a number that represents a class or category

Numerical data (also called quantitative data) - a set of observations where any single observation is a number that represents an amount or count

Handedness - right handed or left handed

Family size

Hair color

Ethnic group

GPA

Age

Yearly salary

Breed of dog

Gender - male or female

Temperature

Please note this is a binary variable


Welcome

Categorical data (also called qualitative data) - a set of observations where any single observation is a word or a number that represents a class or category

Numerical data (also called quantitative data) - a set of observations where any single observation is a number that represents an amount or count

On a the top half of a writing assignment form

please generate two examples of categorical

data and two examples of numerical data

Please note we’ll use the bottom half for something else


What are the four levels of measurement

What are the four “levels of measurement”?

Categorical data

  • Nominal data - classification, differences in kind, names of categories

  • Ordinal data - order, rankings, differences in degree

Numerical data

  • Interval data - measurable differences in amount, equal intervals

  • Ratio data - measurable differences in amount with a “true zero”


What are the four levels of measurement1

What are the four “levels of measurement”?

Categorical data

  • Nominal data - classification, differences in kind, names of categories

  • Ordinal data - order, rankings, differences in degree

Numerical data

  • Interval data - measurable differences in amount, equal intervals

  • Ratio data - measurable differences in amount with a “true zero”

Gender - male or female

Family size

Jersey number

Place in a foot race (1st, 2nd, 3rd, etc)

Handedness - right handed or left handed


What are the four levels of measurement2

What are the four “levels of measurement”?

Categorical data

  • Nominal data - classification, differences in kind, names of categories

  • Ordinal data - order, rankings, differences in degree

Numerical data

  • Interval data - measurable differences in amount, equal intervals

  • Ratio data - measurable differences in amount with a “true zero”

Age

Hair color

Telephone number

Ethnic group

Breed of dog

Temperature

Yearly salary


What are the four levels of measurement3

What are the four “levels of measurement”?

Categorical data

  • Nominal data - classification, differences in kind, names of categories

  • Ordinal data - order, rankings, differences in degree

Numerical data

  • Interval data - measurable differences in amount, equal intervals

  • Ratio data - measurable differences in amount with a “true zero”

Look at your examples of qualitative and quantitative data.

Which levels of measurement are they?


Welcome

Thank you!

See you next time!!


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