Lecture 18 – Psyco 350, B1 Fall, 2011 N. R. Brown.

Slides:



Advertisements
Similar presentations
What is a Survey? A scientific social research method that involves
Advertisements

HOW TO PASS AS EVALUATING STATISTICAL REPORTS.
Confidence Intervals for Population Means
Research Methods Chapter 2.
Academic Integrity at Trinity and Across the Nation A Report Prepared for the Trinity Community* March 15, 2002 by C. Mackenzie Brown Chair of Academic.
172 Commercial Street, 2 nd Floor Portland Maine 1 May 2014 Full Service Market Research and Public Opinion Polling 172 Commercial.
Surveys and Questionnaires. How Many People Should I Ask? Ask a lot of people many short questions: Yes/No Likert Scale Ask a smaller number.
Survey Design. So Many Surveys Political ‘push polls’ – Trying to influence, not collect data Marketing polls – Some are just advertisements News Polls.
Analysis of Variance The contents in this chapter are from Chapter 15 and Chapter 16 of the textbook. One-Way Analysis of Variance Multiple Comparisons.
Lecture 19 – Psyco 350, B1 Winter, 2011 N. R. Brown.
Diary studies Rikard Harr November 2010 © Rikard Harr Outline The Diary study: benefits, challenges and alternatives The papers: aims and use of.
Neag School of Education Using Social Cognitive Theory to Predict Students’ Use of Self-Regulated Learning Strategies in Online Courses Anthony R. Artino,
Survey Research & Understanding Statistics
Welcome to AP Statistics! Sit with people who have the same color tootsie roll pop as you!
A primer in Biostatistics
Lecture 6: Let’s Start Inferential Stats Probability and Samples: The Distribution of Sample Means.
Washington State Prevention Summit Analyzing and Preparing Data for Outcome-Based Evaluation Using the Assigned Measures and the PBPS Outcomes Report.
Information from Samples Alliance Class January 17, 2012 Math Alliance Project.
CHAPTER 14, QUANTITATIVE DATA ANALYSIS. Chapter Outline  Quantification of Data  Univariate Analysis  Subgroup Comparisons  Bivariate Analysis  Introduction.
Chapter 5: Descriptive Research Describe patterns of behavior, thoughts, and emotions among a group of individuals. Provide information about characteristics.
Catholic Media Use in the United States Preferences for and Use of Print and Online Content.
Sex, Contraception and Abortion ……… in the executive boardroom????
INFERENTIAL STATISTICS – Samples are only estimates of the population – Sample statistics will be slightly off from the true values of its population’s.
Lecture 17 – Psyco 350, B1 Fall, 2011 N. R. Brown.
The Marketing Survey How to construct a survey
How to conduct a network scale-up survey Christopher McCarty and H. Russell Bernard University of Florida February, 2009 © 2009 Christopher McCarty and.
1 Anti-Semitism Awareness Research Among Teenagers in Israel Conducted by Market Watch for: March 2007.
Standardized Testing (1) EDU 330: Educational Psychology Daniel Moos.
Business Communications & Presentations.  Numbers are so much a part of your life that you probably pay little attention to them:  “The unemployment.
Please review this power point presentation after reading Chapter 1 in the text – you will have quiz questions that pertain to this material.
Protestant Churches’ Use of Social Media Sponsored by Fellowship Technologies, a partner in LifeWay’s Digital Church initiative.
WATERMELON PRESENTATION A & U Studies (Domestic & Canada) rose research, llc. November, 2006.
Canadian Hospice Palliative Care Association The Way Forward Initiative - Topline Results (National vs. Ontario) February 7, 2014.
Chapter Twelve Census: Population canvass - not really a “sample” Asking the entire population Budget Available: A valid factor – how much can we.
EVENT LEVEL: Sex obtained through aggression will frequently be unprotected GLOBAL LEVEL: Men who have perpetrated sexual aggression will be more likely.
Data Collection Methods
What Does “No Opinion” Mean in the HINTS? Michael P. Massagli, Ph.D. K. Vish Viswanath, Ph.D. Dana-Farber Cancer Institute.
90288 – Select a Sample and Make Inferences from Data The Mayor’s Claim.
Associate Professor Arthur Dryver, PhD School of Business Administration, NIDA url:
90288 – Select a Sample and Make Inferences from Data The Mayor’s Claim.
1 1 Web in mix-mode surveys in Norway Bengt Oscar Lagerstrøm Symposium on General Population Surveys on the web, London November 2011.
Inductive Generalizations Induction is the basis for our commonsense beliefs about the world. In the most general sense, inductive reasoning, is that in.
Introduction Osborn. Daubert is a benchmark!!!: Daubert (1993)- Judges are the “gatekeepers” of scientific evidence. Must determine if the science is.
AP STATS: Take 10 minutes or so to complete your 7.1C quiz.
The Role of Statistics Sexual Discrimination Problem A large company had to downsize and fire 10 employees. Of these 10 employees, 5 were women. However,
The Practice of Social Research Chapter 14 – Quantitative Data Analysis.
What's yours is mine, what's mine is yours: unconscious plagiarism and its opposite. Tim Perfect, Nicholas Lange & Ian Dennis Plymouth University.
Copyright 2010, The World Bank Group. All Rights Reserved. Questionnaire Design Part II Disclaimer: The questions shown in this section are not necessarily.
Stat 112: Notes 2 Today’s class: Section 3.3. –Full description of simple linear regression model. –Checking the assumptions of the simple linear regression.
Psychology 2020 Introduction to Psychological Methods Unit 3 Surveys!
The experience of Denmark with global disability questions in surveys Ola Ekholm & Henrik Brønnum-Hansen, National Institute of Public Health, University.
Sub-regional Workshop on Census Data Evaluation, Phnom Penh, Cambodia, November 2011 Evaluation of Age and Sex Distribution United Nations Statistics.
Survey Research.
Look who’s talking Contemporary views and experiences of emotional support Please do not cite or quote without authors’ permission.
Lecture 15 – Psyco 350, B1 Fall, 2011 N. R. Brown.
Baumeister & Tice Chapter 2 How Much Sex Is Going On?
1 Kuo-hsien Su, National Taiwan University Nan Lin, Academia Sinica and Duke University Measurement of Social Capital: Recall Errors and Bias Estimations.
Qualities of Good Survey Questions Evokes the Truth Questions must be non-threatening. When a respondent is concerned about the consequences of answering.
Descriptive Research & Questionnaire Design. Descriptive Research Survey versus Observation  Survey Primary data collection method based on communication.
Chapter Eleven Sample Size Determination Chapter Eleven.
OUR TARGETS IA INTRO TIPS Brief summary of the original study. Include the name of the study and the researchers. With their aim and their findings. Review.
Definition Slides Unit 2: Scientific Research Methods.
Definition Slides Unit 1.2 Research Methods Terms.
CREATING A SURVEY. What is a survey questionnaire? Survey questionnaires present a set of questions to a subject who with his/her responses will provide.
Conducting surveys and designing questionnaires. Aims Provide students with an understanding of the purposes of survey work Overview the stages involved.
A Comparison of Self-reported Sexual Identity Using Direct and Indirect Questioning Alessandra Gaia Institute for Social and Economic Research (ISER)
Part III – Gathering Data
Facinghistory.org.
Presentation transcript:

Lecture 18 – Psyco 350, B1 Fall, 2011 N. R. Brown

Outline 1.The Partner-Discrepancy – Part 2 2.History & Autobiographical Background Living-in-History Project Psyco 350 Lec #18– Slide 2

Psyco 350 Lec #18– Slide 3 USA Population Surveys-- Tess

Psyco 350 Lec #18– Slide 4 USA Population Surveys – TessW & TessT TESS -- Time-sharing Experiments for the Social Sciences NSF funded program – Survey-based Experiments

Psyco 350 Lec #18– Slide 5 USA Web-based Surveys – TessW & TessT US data collection: 2004 TessT: Sample: stratified sample; random digit dialed telephone survey TessW -- Knowledge Network Panel: RDD  recruit panel members Members receive free hardware & internet service Sample drawn at random from panel. Data collect via web-based questionnaire.

Psyco 350 Lec #18– Slide 6 Method -- Tess 1.Estimates # of SP – Three Versions 2.Indicated estimation strategy – Strategy Menu 3.Sexual orientation 4.Two attitude questions 5.Rate embarrassment 6.Rate truthfulness of response 7.Rate bias of responses

Psyco 350 Lec #18– Slide 7 Method -- TessW 1.Estimates # of SP – Three Versions Control: “Please report your number of lifetime sexual partners” Approx: “Off the top of your head, please provide a rough estimate of your number of lifetime sexual partners.” Enum: “Please think back over your lifetime starting with your first sexual partner and count all of your sexual partners up to and including your most recent partner.”

Psyco 350 Lec #18– Slide 8 Method -- Tess 2. Indicated estimation strategy – Strategy Menu I just now thought back over my lifetime and tried to remember and count each sexual partner. I made a rough guess, plus or minus a few sexual partners. It was a very small number, so I just knew. I keep a running tally of my number of sexual partners and I remembered this number (for example, I use a diary or I have been keeping track in my head over time). I thought about the number of different sexual partners who I’ve been with in an average year and multiplied by the number of years that I’ve been sexually active (for example, about 5 a year for 5 years equals 25) I used some other method to come up with my response. Please specify :

Psyco 350 Lec #18– Slide 9 Method -- Tess 3. First Attitude Question I believe a relationship should form before someone has sex. 1=Agree 2=Disagree 3=Neither strongly somewhat

Psyco 350 Lec #18– Slide 10 Method -- Tess 4. Second Attitude Question I would only have sex in the context of a serious relationship. 1=Agree 2=Disagree 3=Neither strongly somewhat

Psyco 350 Lec #18– Slide 11 Method -- Tess 5. Rated embarrassment I felt embarrassed answering the questions about my number of lifetime sexual partners 1=Agree 2=Disagree 3=Neither strongly somewhat

Psyco 350 Lec #18– Slide 12 Method -- Tess 6. Rated truthfulness of response I was truthful in my report of my number of lifetime sexual partners 1=Agree 2=Disagree 3=Neither strongly somewhat

Psyco 350 Lec #18– Slide 13 Method -- TessW 7. Rated bias of the estimate. In terms of report of my number of lifetime sexual partners, I think that: I greatly under-reported I slightly under-reported I was accurate in my report I slightly over-reported I greatly over-reported my number of lifetime sexual partners

Psyco 350 Lec #18– Slide 14 Research Questions

Psyco 350 Lec #18– Slide 15 Research Questions -- Tess Will the strategy difference replicate? Mode Effects: –Will web-based administration decrease the discrepancy? –Will web-based administration affect strategy selection? Will self-ratings yield self-incrimination (SI)? Will the partner discrepancy & strategy differences disappear when SIs removed?

Psyco 350 Lec #18– Slide 16 Research Questions -- Tess Mode Effect: Anonymity promotes disclosure. –Discrepancy: Web < Telephone Web conventions (“flaming trolls”) condone exaggeration. –Discrepancy: Web > Telephone

Psyco 350 Lec #18– Slide 17 Research Questions -- Tess Will instructions affect strategy choice? If so: –Will the instructional effect be a large one? –Will instructions effect (decreases) the discrepancy?

Psyco 350 Lec #18– Slide 18 Results 1.The Sample 2.Strategy Differences 3.The Discrepancy 4.Attitudes

Psyco 350 Lec #18– Slide 19 The Samples

Psyco 350 Lec #18– Slide 20 Sample – TessT(elephone) Sample: n = 1641 Relevant Subset: heterosexual, sexually experienced provided: SP estimate & strategy report Retained: 87.1% Age MMDN ♂ ♀

Psyco 350 Lec #18– Slide 21 Sample – TessW(eb) Sample: n = 1893 Relevant Subset: heterosexual, sexually experienced provided: SP estimate & strategy report Retained: 89.5% Age MMDN ♂ ♀

Psyco 350 Lec #18– Slide 22 Classification of Respondents Sexually-experienced Heterosexuals (SeH): Tel – W 86.6% Tel – M 87.5% Web – W 90.3% Web – M 88.7%

Psyco 350 Lec #18– Slide 23 Self-Incriminators Defining Self-Incriminators (SIs) –Truthfulness Response: NR, 1, 2, or 3 SIs uncommon -- % Se H –Telephone – Women 3.7% –Telephone – Men 3.7% –Web – Women 5.3% –Web – Men 6.5%

Psyco 350 Lec #18– Slide 24 Tr(uth) SeH Samples Telephone Age MMDN ♂ ♀ Web Age MMDN ♂ ♀

Psyco 350 Lec #18– Slide 25 Strategy Differences

Psyco 350 Lec #18– Slide 26 Strategy Selection: Sex Differences *** *

Psyco 350 Lec #18– Slide 27 Strategy Selection: Mode Differences *** +

Psyco 350 Lec #18– Slide 28 Relation between Strategy & SPs: Sex Differences ***

Psyco 350 Lec #18– Slide 29 Relation between Strategy & SPs: Mode Differences *** *

Psyco 350 Lec #18– Slide 30 Replicating the Partner Discrepancy

Psyco 350 Lec #18– Slide 31 Distribution of SPs

Psyco 350 Lec #18– Slide 32 Distribution of SPs

Psyco 350 Lec #18– Slide 33 Mean SP Effects: Mode*** Sex*** Mode X Sex * SIs unimportant

Psyco 350 Lec #18– Slide 34 Median SPs Women: Web > Tel Men: Web = Tel SIs unimportant

Psyco 350 Lec #18– Slide 35 Outliers (Se Hs)

Psyco 350 Lec #18– Slide 36 Mode Effects: Sex & Mode Differences

Psyco 350 Lec #18– Slide 37 Mode Effect: SP ≥ 10 Effects: Sex*** Mode *** Mode X Sex*** ================= Web- ♀ almost twice as likely to indicate at least 10 SPs as Tel- ♀ For ♂s, no effect of Mode.

Psyco 350 Lec #18– Slide 38 Attitudes

Psyco 350 Lec #18– Slide 39 Are people more embarrassed on the phone? Mode ns Sex ns Mode X Sex ns

Psyco 350 Lec #18– Slide 40 Does mode affect attitude response? Question #1: Mode *** Sex *** Mode X Sex + ============== Question #2: Mode*** Sex*** Mode X Sex +

Psyco 350 Lec #18– Slide 41 TESS Summary: Strategies Multiple strategies used Sex & strategy selection: –Approximation : ♂ > ♀ –“Just Know”: ♀ > ♂ Mode Effects: –“Just Know”: Web > Tel –Other: Tel > Web

Psyco 350 Lec #18– Slide 42 And Finally…

Psyco 350 Lec #18– Slide 43 The Discrepancy Reduced/Eliminated in 20’s Cohort

Psyco 350 Lec #18– Slide 44 TESS Summary: Strategies Estimate related to strategy –Aprox > Enum > JK SPs & Aprox: ♂ > ♀ SPs & Aprox for ♀: Web > Tel

Psyco 350 Lec #18– Slide 45 TESS Summary: Mode Effects Self Incrimination: Web > Tel Attitudes: Web > Tel Embarrassment: Web = Tel Web promotes disclosure.

Psyco 350 Lec #18– Slide 46 TESS Summary: SP Replicate Discrepancy Sex X Mode Interaction Consistent w/ Social Desirability Account Sex X Cohort Interaction Memory/Behavioral Differences

Psyco 350 Lec #18– Slide 47 Conclusions Three-pronged Account necessary –Direct evidence for Strategy Differences Social Desirability –Sampling PSW – “conspicuous by their absence”

Psyco 350 Lec #18– Slide 48 Questions Why do men favor rough approximation? Memory Motivation Distributional

Personal Memories & Public Events Psyco 350 Lec #18– Slide 49 Believes about recent

Memory & Public Events (Biased) Beliefs about past: –Referred to as “Collective Memory” Memory in the World Memory in the Head –Part of group identity –Often caused by & central to between-group conflict. Much Memory-in-the-World research Little Memory-in-the-Head research Psyco 350 Lec #15– Slide 50

Psyco 350 Lec #18– Slide 51 Personal Memories & Public Events Prior Research: Memory for historical events (Schuman) predicted by: –nationality –Age

Psyco 350 Lec #18– Slide 52 Schuman et al, 1898 National surveys Task: “Name one or two important events from the past 50 or 60 years.”

Psyco 350 Lec #18– Slide 53 Personal Memories & Public Events Prior Research: Memory for historical events (Schuman) predicted by: –nationality –Age Flashbulb Memory Research Memory –“Exceptional” (but imperfect) Memory for “reception event”

The Living-in-History Project Aim: Understand when & why historical events & autobiographical memory become intertwined Indentify “Generation 0” –Which experiences incorporated into a group’s identity? Psyco 350 Lec #18– Slide 54

Two Assumptions & An Implication Life-altering events, landmark events, spawn “lifetime periods.” Public events can have a life-altering effect.  Public events might spawn Historically- Defined Autobiographical Periods (H-DAPs).

Empirical Questions Do H-DAPs exist? If so, where, when, & why?

Outline H-DAPs – Their Origins –1 Method, 18 Samples, 9 Claims H-DAPs – Their Implications

Method

Method – Phase 1 Materials: –20 neutral cue words: automobile, bag, ball, book, box, bread, chair, coat, dog, pencil, piano, pill, radio, river, snow, spoon, stone, street, tree, window Task: – recall an autobiographical event related to cue word specific at least one week old –write brief description on index card

Method – Phase 2 Task: – estimate when (month & year) each event occurred. Verbal Protocol: – Ps thought aloud while generating dates

–cue word: pill –– –“I took a Bayer’s pill to relieve the pain in my tooth.” –– –“I remember this one. This was…senior year. Beginning of senior year of Um…It was fall but it was middle of fall. I think it was October Yeah, I remember that.”

Rationale

Word-cue Task: representative sampling of AM Event-dating Protocols: dates typically “reconstructed” contents reflect organization If H-DAP s exist, they should be mentioned in the protocols.

Rationale If H-DAP s exist, they should be mentioned in the protocols, yielding … A strong Living-in-History (LiH) Effect* *frequent mention of H-DAPs in the dating protocols

18 Samples from 11 Countries Sample#AgeTest Date(s) 1 Sarajevo, Bosnia27247/04; 10/04 2 Sarajevo, Bosnia23229/06 3 Sarajevo, Bosnia25379/06 4 Podgorica, Montenegro25237/04; 10/04 5 Belgrade, Serbia25 2/05 6 NYC, NY, USA23252/05 7 Ann Arbor, MI, USA24236/05; 9/05 8 Edmonton, AB, Canada27239/04 – 1/05 9 Jerusalem, Israel28245/05 – 6/05 10 Aalborg, Denmark26233/05 – 4/05 11 Izmit, Turkey27213/06 12 Ankara, Turkey24223/06; 10/06 13 Moscow, Russia263912/07 14Beirut, Lebanon /08 – 3/09 15Bekaa Valley, Lebanon /08 – 3/09 16Aalborg, Denmark 36803/06 17Netherlands 21823/07 18Edmonton, AB, Canada 26833/07

18 Samples from 11 Countries Sample#AgeTest Date(s) 1 Sarajevo, Bosnia27247/04; 10/04 2 Sarajevo, Bosnia23229/06 3 Sarajevo, Bosnia25379/06 4 Podgorica, Montenegro25237/04; 10/04 5 Belgrade, Serbia25 2/05 6 NYC, NY, USA23252/05 7 Ann Arbor, MI, USA24236/05; 9/05 8 Edmonton, AB, Canada27239/04 – 1/05 9 Jerusalem, Israel28245/05 – 6/05 10 Aalborg, Denmark26233/05 – 4/05 11 Izmit, Turkey27213/06 12 Ankara, Turkey24223/06; 10/06 13 Moscow, Russia263912/07 14Beirut, Lebanon /08 – 3/09 15Bekaa Valley, Lebanon /08 – 3/09 16Aalborg, Denmark 36803/06 17Netherlands 21823/07 18Edmonton, AB, Canada 26833/07

Protocol Analysis

Protocol Coding – 3 Categories Justified Responses: Personal/Generic Political/Conflict-related Pop Culture/Sports/Weather

Protocol Coding – 3 Categories Justified Responses: Personal/Generic Political/Conflict-related Pop Culture/Sports/Weather

Example Protocol: Personal –cue word: box –– – “My siblings and I took the large box from our new washer and dryer and took turns tipping ourselves over inside.” –– –“I honestly don’t remember how old I was but I know it was in my old house and we moved there when I was 4 so I was probably at least 5. So I’d say 1988 and I have no idea what month it was. Ah, I think we would have been playing outside if it was summer so I’d probably say like November.”

Protocol Coding – 3 Categories Justified Responses: Personal/Generic Political/Conflict-related Pop Culture/Sports/Weather

Example Protocol: Political/Conflict cue word: pencil  “ I was collecting fancy pencils and I was surprised when my cousin sent me a nice one in a letter.”  “ 1993 or 1994 because it was during the war and that’s approximately how old I was, it wasn’t 92’ for sure. Why? Because it was in the middle of the war but I don’t know if it was 93’ or 94’.”

Protocol Coding – 3 Categories Justified Responses: Personal/Generic Political/Conflict-related Pop Culture/Sports/Weather

Example Protocol: Pop/Sports/Weather –cue word: spoon –– – “I practiced bending the spoon.” –– – “I think I was doing that when I was watching The Matrix movie and The Matrix came out some years ago but when? It’s all mixed up…let’s say 3 years ago, 2002.II watched it, I think it was winter. February, 2002.”