research designs
play

Research Designs I. Use analysis of text to shed light on attitudes - PowerPoint PPT Presentation

Sep 10, 2023 •148 likes •253 views

Content Analysis Research Designs I. Use analysis of text to shed light on attitudes and values of the source McClellands analysis of childrens fiction as a measure of achievement motive Dodds- Danforth study of

  1. Content Analysis – Research Designs • I. Use analysis of text to shed light on attitudes and values of the source • McClelland’s analysis of children’s fiction as a measure of “achievement motive” • Dodds- Danforth study of “happy” lyrics, blog posts, and State of the Union messages • Race-ethnicity of criminal suspects in local news as an indicator of prejudice 2

  2. • II. Using content of news reports messages to assess causes of news programming, e.g. importance of market forces • Comparing public broadcasters and commercial broadcasters for extent of hard-soft and international-domestic coverage • Comparative analysis of niche versus generalist sources (e.g. Wall St Journal vs. NYT) • Partisan vs non-partisan sources 3

  3. • III. Examining content to make inferences about effects of messages on behavior • Suicide notes • Diplomatic cables and onset of war • Candidate rhetoric and vote share • Infotainment and market share 4

  4. Stages of Content Analysis • (1) Identify relevant sources, identify the population of messages (op eds vs news; front- page news, etc., and draw a sample) • (2) Develop content categories • Categories guided by theoretical-conceptual considerations (e.g. market forces make news organizations over-produce soft news; campaign news dwells on “horse race” and strategy at the expense of policy) 5

  5. Coding Scheme • Content categories to reflect underlying concept – soft news, objective news, news as negative (bad versus good news), reliance on official sources, etc etc. • Categories should be exhaustive and mutually exclusive • Categorization process to be independent, i.e. categorization of any given message should not depend on categorization of previous message 6

  6. • Intro – statement of the problem, why this is relevant/important; Table of Contents theory and hypothesis • Outline your research design/strategy – sample of news sources, coding scheme, inter- coder reliability • Presentation and interpretation of results • Discussion-Implications 7

  7. Unit of Analysis and Reliability • What gets coded – words, sentences, paragraphs, entire news report • holistic coding; roles played by men and women in advertisements; treatment of minorities in entertainment programs • Issue of inter-coder reliability; have multiple coders categorize the same messages 8

  8. Presentation of Results • Tabulate results of coding – word counts, percentages, column inches • Interpret results in terms of theoretical expectations 9

  9. Online Databases Lexis-Nexis includes >500 daily newspapers, magazines, Blogs, and some transcripts of TV programs http://lib.stanford.edu/lexis-nexis-academic 10

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend

15. Scientific Foundations A MERICAN P SYCHOLOGICAL A SSOCIATION Research Designs for Recovery

15. Scientific Foundations A MERICAN P SYCHOLOGICAL A SSOCIATION Research Designs for Recovery

15. Scientific Foundations A MERICAN P SYCHOLOGICAL A SSOCIATION Research Designs for Recovery Oriented Mental Health Services Quantitative Studies: Experimental designs Quasi-experimental designs Non-experimental quantitative designs

74 views • 5 slides
Survey Research Tyson S. Barrett, PhD PSY 3500 Survey Designs Often used in some way with

Survey Research Tyson S. Barrett, PhD PSY 3500 Survey Designs Often used in some way with

Survey Research Tyson S. Barrett, PhD PSY 3500 Survey Designs Often used in some way with almost all other designs Not as simple as it appears Answers can be influenced by unintended factors order of items the possible response

410 views • 7 slides
Introduction to Path so, can be better studied using multivariate research designs !!! The

Introduction to Path so, can be better studied using multivariate research designs !!! The

Why multivariate research designs? Multicausality Multicausality is the idea that behavior has multiple causes, and Introduction to Path so, can be better studied using multivariate research designs !!! The fundamental questions about

592 views • 6 slides
Effective Designs for the Administration of Federal Elections Karen Lynn-Dyson, Research

Effective Designs for the Administration of Federal Elections Karen Lynn-Dyson, Research

Effective Designs for the Administration of Federal Elections Karen Lynn-Dyson, Research Director U.S. Election Assistance Commission April 16, 2008 Background HAVA 241(b)(2) and 302(b) mandate that EAC study ballot designs for

531 views • 14 slides
Single Subject Designs ScWk 240 Week 8 Slides 1 Group vs. Single Subject Designs There are two

Single Subject Designs ScWk 240 Week 8 Slides 1 Group vs. Single Subject Designs There are two

Single Subject Designs ScWk 240 Week 8 Slides 1 Group vs. Single Subject Designs There are two broadly defined approaches to experimental research: group designs & single-subject designs Both approaches apply components of the scientific

348 views • 24 slides
KITE PRESENTATION Kite Research Research Most Common Designs Most Important: Application,

KITE PRESENTATION Kite Research Research Most Common Designs Most Important: Application,

Team 2: Zachary Stewart, Brian Moore, Noah Hanahan, Becca Poling KITE PRESENTATION Kite Research Research Most Common Designs Most Important: Application, Altitude, Stability Least Important: Aesthetics Brainstorming Ideas

627 views • 7 slides
REVIEW: RESEARCH QUESTION 1. WHY DO PATIENTS SEEK OSTEOPATHIC TREATMENT? 2. DOES OSTEOPATHIC

REVIEW: RESEARCH QUESTION 1. WHY DO PATIENTS SEEK OSTEOPATHIC TREATMENT? 2. DOES OSTEOPATHIC

AGENDA REVIEW OF MATERIAL HYPOTHESIS/RESEARCH QUESTION P-VALUE STUDY DESIGNS VARIABLES AND MEASUREMENTS SAMPLE SIZE DETERMINATION CHOOSING MEASUREMENT INSTRUMENT/TOOL QUASI-EXPERIMENTAL DESIGNS RELIABILITY STUDIES

260 views • 11 slides
research designs: a short play Jamie Fox Juan M. Lozano Compare and contrast common study

research designs: a short play Jamie Fox Juan M. Lozano Compare and contrast common study

Health research designs: a short play Jamie Fox Juan M. Lozano Compare and contrast common study designs RCT Prospective cohort Retrospective cohort Case control Demonstrate interactive teaching strategies and tools

515 views • 28 slides
CSE 140 Lecture 14 System Designs CK Cheng CSE Dept. UC San Diego 1 System Designs

CSE 140 Lecture 14 System Designs CK Cheng CSE Dept. UC San Diego 1 System Designs

CSE 140 Lecture 14 System Designs CK Cheng CSE Dept. UC San Diego 1 System Designs Introduction Components Spec Implementation 2 Digital Designs vs Computer Architectures Instruction Set (H.Chapter 6, CSE141)

503 views • 18 slides
Go 2 Draft Designs Hello everyone, Im here to talk about the draft designs that the Go team

Go 2 Draft Designs Hello everyone, Im here to talk about the draft designs that the Go team

Go 2 Draft Designs Hello everyone, Im here to talk about the draft designs that the Go team recently released for possible future additions to Go, specifically about two areas: improved error handling and parametric polymorphism (AKA generics),

411 views • 29 slides
Bayesian Bayesian Adaptive Adaptive Designs for Healthy Designs for Healthy Volunteer

Bayesian Bayesian Adaptive Adaptive Designs for Healthy Designs for Healthy Volunteer

Bayesian Bayesian Adaptive Adaptive Designs for Healthy Designs for Healthy Volunteer Volunteer First First in Man Studies in Man Studies AHPPI 30 th October 2014 Richard Peck, Roche Pharmaceutical Research & Development, Roche

578 views • 14 slides
Group Sequential and Adaptive Designs Part II: Adaptive Designs May 2, 2015 Cyrus Mehta, Ph.D.

Group Sequential and Adaptive Designs Part II: Adaptive Designs May 2, 2015 Cyrus Mehta, Ph.D.

Group Sequential and Adaptive Designs Part II: Adaptive Designs May 2, 2015 Cyrus Mehta, Ph.D. Cytel Inc. Adaptive Designs Adaptive designs are defined as: changes in design or analyses guided by examination of the accumulated

1.11k views • 64 slides
Its time to research our designs better. Heres how. Sophie FREIERMUTH, UX designer and

Its time to research our designs better. Heres how. Sophie FREIERMUTH, UX designer and

#uiux2018 @wickedgeekie Its time to research our designs better. Heres how. Sophie FREIERMUTH, UX designer and researcher Baguette UX, London #uiux2018 @wickedgeekie In this short talk 1. Why and when to conduct research with (future)

719 views • 36 slides
More than preservation: Creating motivational designs and tailored incentives in research data

More than preservation: Creating motivational designs and tailored incentives in research data

More than preservation: Creating motivational designs and tailored incentives in research data repositories Sebastian S. Feger, Snje Dallmeier-Tiessen, Pamfilos Fokianos, Dinos Kousidis, Artemis Lavasa, Rokas Maciulaitis, Jan Okraska, Diego

612 views • 32 slides
A Look Under the Hood of SMART Designs for Developing Adaptive Interventions Daniel Almirall, PhD

A Look Under the Hood of SMART Designs for Developing Adaptive Interventions Daniel Almirall, PhD

A Look Under the Hood of SMART Designs for Developing Adaptive Interventions Daniel Almirall, PhD Survey Research Center, Institute for Social Research University of Michigan April 11, 2016 Center for Drug Use and HIV Research New York, NY

762 views • 73 slides
Designs Learning designs Learning objectives Learners will be able to Provide a

Designs Learning designs Learning objectives Learners will be able to Provide a

Learning Designs Learning designs Learning objectives Learners will be able to Provide a rationale for using multiple learning designs. Identify at least five to seven learning designs appropriate for one of their professional

274 views • 14 slides
Professionalisation of university lecturers The UTQ and beyond VSNU, May 2018

Professionalisation of university lecturers The UTQ and beyond VSNU, May 2018

Professionalisation of university lecturers The UTQ and beyond VSNU, May 2018 Professionalisation of university lecturers The UTQ and beyond VSNU, May 2018 Colophon VSNU, 24 May 2018 This is a joint publication by the 14 universities

940 views • 32 slides
Scalability + Performance a choose your own adventure game hosted by James Cox 1 Tuesday, 1

Scalability + Performance a choose your own adventure game hosted by James Cox 1 Tuesday, 1

Scalability + Performance a choose your own adventure game hosted by James Cox 1 Tuesday, 1 April 2008 1 Begin Your Adventure... Art & The End Planning Hosting & Deployment Ruby & Rails Caching Testing MySQL 2 Tuesday,

229 views • 20 slides
D o m a i n - S p e c i f i c T e s t i n g T o o l s L e s s o n

D o m a i n - S p e c i f i c T e s t i n g T o o l s L e s s o n

D o ma i n - S p e c i f i c T e s t i n g T o o l s D o m a i n - S p e c i f i c T e s t i n g T o o l s L e s s o n s l e a r n e d f r o m t h e A p a c h e S l i

464 views • 33 slides
On Attacking S tatistical S pam Filters Greg Wittel & S . Felix Wu U.C. Davis CEAS 2004

On Attacking S tatistical S pam Filters Greg Wittel & S . Felix Wu U.C. Davis CEAS 2004

On Attacking S tatistical S pam Filters Greg Wittel & S . Felix Wu U.C. Davis CEAS 2004 1 Outline Introduction Attack Classes Testing A New Attack Conclusions & Future 2 Attack Classes Attempted attack

392 views • 21 slides
twenty two concrete construction: http:// nisee.berkeley.edu/godden flat spanning systems,

twenty two concrete construction: http:// nisee.berkeley.edu/godden flat spanning systems,

A RCHITECTURAL S TRUCTURES : F ORM, B EHAVIOR, AND D ESIGN A RCH 331 D R. A NNE N ICHOLS S UMMER 2018 lecture twenty two concrete construction: http:// nisee.berkeley.edu/godden flat spanning systems, columns & frames Concrete Spans 1

493 views • 32 slides
Drawer Drawer Cabinet Cabinet mm (inches) SLIDE TRAVEL SLIDE LENGTH SLIDE TRAVEL TOTAL

Drawer Drawer Cabinet Cabinet mm (inches) SLIDE TRAVEL SLIDE LENGTH SLIDE TRAVEL TOTAL

( ( ( ( ( ( ( ( ( ( ( ( 13mm 19.1mm 54mm 53mm Drawer Drawer Cabinet Cabinet mm (inches) SLIDE TRAVEL SLIDE LENGTH SLIDE TRAVEL TOTAL LENGTH 35.0 (1.38) F 35.0 (1.38) E F E D 9.0 (0.35) 25.3 (1.00) 9.0 (0.35)

486 views • 11 slides
HVAC System Air Leakage 2019 Presented By: Mark Terzigni Director of Engineering Technical

HVAC System Air Leakage 2019 Presented By: Mark Terzigni Director of Engineering Technical

HVAC System Air Leakage 2019 Presented By: Mark Terzigni Director of Engineering Technical Services SMACNA Learning Objectives Understand the difference between System leakage and Duct leakage Understand what information

841 views • 59 slides
DATA ANALYTICS USING DEEP LEARNING GT 8803 // FALL 2019 // JOY ARULRAJ L E C T U R E # 0 2 : I

DATA ANALYTICS USING DEEP LEARNING GT 8803 // FALL 2019 // JOY ARULRAJ L E C T U R E # 0 2 : I

DATA ANALYTICS USING DEEP LEARNING GT 8803 // FALL 2019 // JOY ARULRAJ L E C T U R E # 0 2 : I M A G E C L A S S I F I C A T I O N Python + Numpy TUTORIAL http://cs231n.github.io/python-numpy-tutorial/ GT 8803 // Fall 2019 2 ASSIGNMENT #0

800 views • 77 slides

More recommend