introductory statistics options, spring 2008 stat 100: mwf, 11:00 science center c. stat 100: mwf,...

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Introductory Statistics Introductory Statistics Options, Spring 2008 Options, Spring 2008 Stat 100: MWF, 11:00 Science Center C. Stat 100: MWF, 11:00 Science Center C. General intro to statistical methods in social and General intro to statistical methods in social and political science, public health and economics. political science, public health and economics. Text: Introduction to the Practice of Statistics Text: Introduction to the Practice of Statistics Stat 101: MWF, 3:00 Science Center A Stat 101: MWF, 3:00 Science Center A Similar to 100, but emphasis on applications and Similar to 100, but emphasis on applications and statistical reasoning in psychology and related statistical reasoning in psychology and related disciplines. disciplines. Text: Statistics for Psychology Text: Statistics for Psychology Stat 104: MWF, 11:00 Science Center D Stat 104: MWF, 11:00 Science Center D Similar to Stat 100, but with emphasis on applications Similar to Stat 100, but with emphasis on applications to economics. Slightly faster pace than 100 and 104 to economics. Slightly faster pace than 100 and 104 Same text as 100 Same text as 100

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Page 1: Introductory Statistics Options, Spring 2008 Stat 100: MWF, 11:00 Science Center C. Stat 100: MWF, 11:00 Science Center C. –General intro to statistical

Introductory Statistics Options, Introductory Statistics Options, Spring 2008Spring 2008• Stat 100: MWF, 11:00 Science Center C.Stat 100: MWF, 11:00 Science Center C.

– General intro to statistical methods in social and political General intro to statistical methods in social and political science, public health and economics.science, public health and economics.

– Text: Introduction to the Practice of Statistics Text: Introduction to the Practice of Statistics

• Stat 101: MWF, 3:00 Science Center AStat 101: MWF, 3:00 Science Center A– Similar to 100, but emphasis on applications and statistical Similar to 100, but emphasis on applications and statistical

reasoning in psychology and related disciplines.reasoning in psychology and related disciplines.– Text: Statistics for PsychologyText: Statistics for Psychology

• Stat 104: MWF, 11:00 Science Center DStat 104: MWF, 11:00 Science Center D– Similar to Stat 100, but with emphasis on applications to Similar to Stat 100, but with emphasis on applications to

economics. Slightly faster pace than 100 and 104economics. Slightly faster pace than 100 and 104– Same text as 100Same text as 100

Page 2: Introductory Statistics Options, Spring 2008 Stat 100: MWF, 11:00 Science Center C. Stat 100: MWF, 11:00 Science Center C. –General intro to statistical

Distinguishing Features of Distinguishing Features of 101101• We will use SPSS We will use SPSS

• We will discuss psychological instrument construction We will discuss psychological instrument construction and characteristics as well as elementary statistics topicsand characteristics as well as elementary statistics topics

• There will be an on going data collection project that will There will be an on going data collection project that will be the basis of all lab assignmentsbe the basis of all lab assignments

• There will be three tests – they are non-cumulative, of There will be three tests – they are non-cumulative, of equal value and account for 60% of your gradeequal value and account for 60% of your grade

• Homework will not be collected –BUT plan for a frequent Homework will not be collected –BUT plan for a frequent 1-2 item quiz – taken directly from your homework– 15% 1-2 item quiz – taken directly from your homework– 15% of gradeof grade

• You will be required to keep a lab notebook documenting You will be required to keep a lab notebook documenting completion of laboratory tasks 25% of grade –submitted completion of laboratory tasks 25% of grade –submitted ½ way and at end of semester for evaluation – dated ½ way and at end of semester for evaluation – dated outputoutput

• You will be required to log into survey monkey every so You will be required to log into survey monkey every so often, as we complete the development of survey often, as we complete the development of survey instrumentsinstruments

Page 3: Introductory Statistics Options, Spring 2008 Stat 100: MWF, 11:00 Science Center C. Stat 100: MWF, 11:00 Science Center C. –General intro to statistical

Ongoing Class ProjectOngoing Class Project

• Entitled “Measurement and Correlates of Success”Entitled “Measurement and Correlates of Success”• Will require seeking out different “communities” at Harvard for Will require seeking out different “communities” at Harvard for

source informationsource information• Will require coordinated, small group work within lab periodsWill require coordinated, small group work within lab periods• We willWe will

– Develop domains of content for questions related to “Success”Develop domains of content for questions related to “Success”– Develop items/questions to represent these domainsDevelop items/questions to represent these domains– Conduct cognitive and psychometric item testing Conduct cognitive and psychometric item testing – Will develop scales that are an aggregate of items/questionsWill develop scales that are an aggregate of items/questions– Examine these items and scales and learn how to use Examine these items and scales and learn how to use

graphical, descriptive and hypothesis testing tools to better graphical, descriptive and hypothesis testing tools to better understand the data we have collectedunderstand the data we have collected

– GOAL: Use statistics to glean a bit of wisdom about the GOAL: Use statistics to glean a bit of wisdom about the concept of success concept of success

Page 4: Introductory Statistics Options, Spring 2008 Stat 100: MWF, 11:00 Science Center C. Stat 100: MWF, 11:00 Science Center C. –General intro to statistical

Class ValuesClass Values• Effective group work while gaining personal Effective group work while gaining personal

mastery of topicsmastery of topics• Regular progress on doing problems so that it Regular progress on doing problems so that it

does not pile up and create anxiety prior to does not pile up and create anxiety prior to tests – hence homework quizzestests – hence homework quizzes

• Good communication – If you don’t understand Good communication – If you don’t understand something, ask. If you can help someone else something, ask. If you can help someone else understand, offer. Prof-TFs, TFs-students, Prof-understand, offer. Prof-TFs, TFs-students, Prof-students, student-student.students, student-student.

• Clear expectations- what is expected of you to Clear expectations- what is expected of you to succeed- what you can expect from Prof, TFs.succeed- what you can expect from Prof, TFs.

• The journey has as much value (maybe more) The journey has as much value (maybe more) as the final grade –a good grade would tend to as the final grade –a good grade would tend to be the fruit of being productively engaged in be the fruit of being productively engaged in the journey. the journey.

Page 5: Introductory Statistics Options, Spring 2008 Stat 100: MWF, 11:00 Science Center C. Stat 100: MWF, 11:00 Science Center C. –General intro to statistical

WkWk DatDatee

EventEvent TopicTopic ReadingReading

11 WedWed Jan 30Jan 30 IntroductionIntroduction

Fri Fri Feb 1Feb 1 Psychological ScalesPsychological Scales

22 MonMon Feb 4Feb 4 Variables & basic Variables & basic descriptive stats descriptive stats

Ch. 1 Ch. 1

WedWed Feb 6Feb 6 Central tendency & Central tendency & VariabilityVariability

Ch. 2Ch. 2

FriFri Feb 8Feb 8 CorrelationCorrelation Ch. 3 (pp. Ch. 3 (pp. 69-87)69-87)

33 MonMon Feb Feb 1111

Correlation IICorrelation II Ch. 3 (pp. Ch. 3 (pp. 88-94)88-94)

Wed Wed Feb Feb 1133

HWQHWQ Lab- Lab- Graph, scatter, Graph, scatter, CorrelationCorrelation

Fri Fri Feb Feb 1155

RegressionRegression Ch. 4 (pp. Ch. 4 (pp. 114-114-125)125)

44 MonMon Feb Feb 1188

HolidayHoliday

Wed Wed Feb Feb 2200

Lab –Lab – Regression Regression

FriFri Feb Feb 2222

Regression IIRegression II Ch. 4 (pp. Ch. 4 (pp. 128-128-138)138)

55 MonMon Feb Feb 2255

ReviewReview

Wed Wed Feb Feb 2277

Exam #1Exam #1

SyllabusSyllabus

Page 6: Introductory Statistics Options, Spring 2008 Stat 100: MWF, 11:00 Science Center C. Stat 100: MWF, 11:00 Science Center C. –General intro to statistical

FriFri Feb Feb 2929

Normal distribution & Z-Normal distribution & Z-scoresscores

Ch. 5 (pp. Ch. 5 (pp. 157-168)157-168)

66 MonMon Mar 3Mar 3 Probability, sample, Probability, sample, populationpopulation

Ch. 5 (pp. Ch. 5 (pp. 169-175)169-175)

Wed Wed Mar 5Mar 5 Lab- Lab- Normal distribut., Normal distribut., z-scoresz-scores

FriFri Mar 7Mar 7 HWQHWQ Hypothesis testing & Hypothesis testing & significancesignificance

Ch. 6 Ch. 6

77 MonMon Mar Mar 1010

Distribution of meansDistribution of means Ch. 7 (pp. Ch. 7 (pp. 218-232)218-232)

Wed Wed Mar Mar 1212

Lab- Lab- Theoretical reviewTheoretical review

FriFri Mar Mar 1414

Estimation, SEs, & CIsEstimation, SEs, & CIs Ch. 7 (pp. Ch. 7 (pp. 232-238)232-238)

88 MonMon Mar Mar 1717

Effect size & powerEffect size & power Ch. 8Ch. 8

Wed Wed Mar Mar 1919

HWQHWQ T-tests: single sampleT-tests: single sample Ch. 9 (pp. Ch. 9 (pp. 299-322)299-322)

FriFri Mar Mar 2121

T-tests: independent T-tests: independent meansmeans

Ch. 10 (pp. Ch. 10 (pp. 341-48)341-48)

99 MonMon Mar Mar 2424

Turn in Lab Turn in Lab notebooksnotebooks

Spring RecessSpring Recess

1010 MonMon Mar Mar 3131

T-tests: independent T-tests: independent meansmeans

Ch. 10 (pp. Ch. 10 (pp. 349-62)349-62)

Wed Wed Apr 2Apr 2 LabLab—T-tests / FLEX—T-tests / FLEX

FriFri Apr 4Apr 4 ReviewReview

1111 MonMon Apr 7Apr 7 Exam #2Exam #2

Page 7: Introductory Statistics Options, Spring 2008 Stat 100: MWF, 11:00 Science Center C. Stat 100: MWF, 11:00 Science Center C. –General intro to statistical

Wed Wed Apr 9Apr 9 ANOVA: one-factorANOVA: one-factor Ch. 11 (pp. Ch. 11 (pp. 377-94)377-94)

FriFri April April 1111

ANOVA: one factorANOVA: one factor Ch. 11 (p. Ch. 11 (p. 394-404)394-404)

1212 MonMon Apr 14Apr 14 ANOVA: structural modelANOVA: structural model Ch. 12 (pp. Ch. 12 (pp. 417-30)417-30)

Wed Wed Apr 16Apr 16 HWQHWQ ANOVA: post-hocs, ES, ANOVA: post-hocs, ES, powerpower

Ch. 12 (pp. Ch. 12 (pp. 431-37)431-37)

FriFri Apr 18Apr 18 LabLab—ANOVA —ANOVA

1313 MonMon Apr 21Apr 21 ANOVA: FactorialANOVA: Factorial Ch. 13 (pp. Ch. 13 (pp. 451-67)451-67)

WedWed Apr 23Apr 23 Chi-Square Chi-Square Ch. 14Ch. 14

FriFri Apr 25Apr 25 LabLab—Chi-Square —Chi-Square

1414 Mon Mon Apr 28Apr 28 HWQHWQ Alternative statistical Alternative statistical techniquestechniques

FriFri Apr 30Apr 30 Turn in Lab Turn in Lab notebooksnotebooks

ReviewReview

MAYMAY Final Exam Final Exam

Page 8: Introductory Statistics Options, Spring 2008 Stat 100: MWF, 11:00 Science Center C. Stat 100: MWF, 11:00 Science Center C. –General intro to statistical

Laboratory NotebooksLaboratory Notebooks

• Loose leaf binder with pocketLoose leaf binder with pocket

• Three hole punchThree hole punch

• Systematically collect output Systematically collect output

• Annotate output –explain what everything on a page Annotate output –explain what everything on a page generated means. You only have to do it the first time for generated means. You only have to do it the first time for each new procedure. Don’t need EVERYTHING you ever each new procedure. Don’t need EVERYTHING you ever ran. Highlights. Final analyses.ran. Highlights. Final analyses.

• Marble notebook to be kept in pocket – diary style – Notes Marble notebook to be kept in pocket – diary style – Notes on how you do things in SPSS. Documentation of what you on how you do things in SPSS. Documentation of what you looked at and why, what you found, interesting or not. looked at and why, what you found, interesting or not. Questions for TF. Dated entries. Index with pages of Questions for TF. Dated entries. Index with pages of output in binder.output in binder.

Page 9: Introductory Statistics Options, Spring 2008 Stat 100: MWF, 11:00 Science Center C. Stat 100: MWF, 11:00 Science Center C. –General intro to statistical

Questions about Questions about Requirements?Requirements?

Page 10: Introductory Statistics Options, Spring 2008 Stat 100: MWF, 11:00 Science Center C. Stat 100: MWF, 11:00 Science Center C. –General intro to statistical

Measures and Correlates of Measures and Correlates of SuccessSuccess

Might different people define and measure success differently?Might different people define and measure success differently?

Builder of empiresBuilder of empiresService to fellow manService to fellow manAesthetic criteriaAesthetic criteriaPhilosopherPhilosopherFarmer in 3Farmer in 3rdrd world nation world nationJourney vs destinationJourney vs destination

Opportunity to talk to people across the campus to distill ideas about how to Opportunity to talk to people across the campus to distill ideas about how to measure and what correlates with success.measure and what correlates with success.

Small groups based on Lab sections – 2-4 brief, open-ended interviews Small groups based on Lab sections – 2-4 brief, open-ended interviews requesting interview subjects to answer the question,requesting interview subjects to answer the question,

““How do you measure success? What do you think is most related to How do you measure success? What do you think is most related to success?”success?”

YES – it is an intentionally vague question.YES – it is an intentionally vague question.

LETS OPEN UP DISUSSION – how might you make sure that you got all the LETS OPEN UP DISUSSION – how might you make sure that you got all the information that that person offered to you in response to the question?information that that person offered to you in response to the question?

Page 11: Introductory Statistics Options, Spring 2008 Stat 100: MWF, 11:00 Science Center C. Stat 100: MWF, 11:00 Science Center C. –General intro to statistical

Measures and Correlates of Measures and Correlates of SuccessSuccess

• Next step – distill information into brief, clear Next step – distill information into brief, clear statements statements

• Create scales for each statement Create scales for each statement

> Five point scale > Five point scale

STRONG AGREE to STRONG DISAGREESTRONG AGREE to STRONG DISAGREE

>Two point scale >Two point scale YES / NOYES / NO

>Thermometer-type scale - value 0-100 where 0 is >Thermometer-type scale - value 0-100 where 0 is most different from your perspective and 100 is most different from your perspective and 100 is identical to your perspective.identical to your perspective.

>Maybe forced choice between different >Maybe forced choice between different statements –select one you feel best matches your statements –select one you feel best matches your perspectiveperspective

Page 12: Introductory Statistics Options, Spring 2008 Stat 100: MWF, 11:00 Science Center C. Stat 100: MWF, 11:00 Science Center C. –General intro to statistical

Item and Scale Development – Item and Scale Development – looking at existing instrumentslooking at existing instruments

• Psychological instruments and scales are all Psychological instruments and scales are all around us – CES-D, MMPI, Optimism, Locus of around us – CES-D, MMPI, Optimism, Locus of Control, Raven’s Progressive Matrices, Intelligence, Control, Raven’s Progressive Matrices, Intelligence, Executive Brain Function…….Executive Brain Function…….

• Let’s take a look at well documented scales - Let’s take a look at well documented scales - Assignment 1 – find an article about the Assignment 1 – find an article about the development and validation of any psychological development and validation of any psychological scale and READ it.scale and READ it.

• Get on line and take one of the many psychological Get on line and take one of the many psychological tests available – if they do not directly explain what tests available – if they do not directly explain what they are measuring, look at the items and try to they are measuring, look at the items and try to guess how the items might be classified.guess how the items might be classified.

Page 13: Introductory Statistics Options, Spring 2008 Stat 100: MWF, 11:00 Science Center C. Stat 100: MWF, 11:00 Science Center C. –General intro to statistical

SPSSSPSS

• Harvard University has a site license for SPSSHarvard University has a site license for SPSS• You may load it from the key server – it costs You may load it from the key server – it costs

nothingnothing• You can only use it within range of campusYou can only use it within range of campus• Can buy a student copy from SPSS website if Can buy a student copy from SPSS website if

you need to do work while travelingyou need to do work while traveling• Very nice introductory tutorials Very nice introductory tutorials • GUI interface – means it is menu drivenGUI interface – means it is menu driven• Time for a peek?Time for a peek?

Page 14: Introductory Statistics Options, Spring 2008 Stat 100: MWF, 11:00 Science Center C. Stat 100: MWF, 11:00 Science Center C. –General intro to statistical

Today’s SummaryToday’s Summary

• Who should be taking this class?Who should be taking this class?• Class RequirementsClass Requirements• Class ValuesClass Values• On-going Group Project “Measures and On-going Group Project “Measures and

Correlates of Success”Correlates of Success”• First steps in Group projectFirst steps in Group project• Assignment: Look at established items and Assignment: Look at established items and

scalesscales• SPSS software SPSS software