Purposeful keyword searching: Using available tools to build an archive of adolescent blogs

•

1 gostou•383 visualizações

Lois Scheidt

Educação

Purposeful Keyword Searching: Using Available Tools to Build an Archive of Adolescent Blogs Lois Ann Scheidt Indiana University

A Warning About Purposeful Sampling ,[object Object]

What other technologies can we use for purposeful searching?

Mais conteúdo relacionado

Destaque

Drake marvins room

bossmann13

Chris underhill(health entrepreneur)

Berwyn Koo

Chris underhill(health entrepreneur)

Berwyn Koo

Miss trunchbull is not a good headmistress because she don

Pensil Dan Pemadam

Roy ibrahim (a352140041)

3838cinta

ALOECOAT 1-BIO COMPARACION DE COSTOS Y FUNCIONES DE PRODUCTO EN FOOD SAFETY

Ruben Daniel Avaro

La cultura andina

cecilia CHURQUINA

Unit 3-careers-in-retailing

allianceduvsd

Escala de equilibrio de berg

MR Gtz

Destaque (9)

Drake marvins room

Chris underhill(health entrepreneur)

Miss trunchbull is not a good headmistress because she don

Roy ibrahim (a352140041)

ALOECOAT 1-BIO COMPARACION DE COSTOS Y FUNCIONES DE PRODUCTO EN FOOD SAFETY

La cultura andina

Unit 3-careers-in-retailing

Escala de equilibrio de berg

Semelhante a Purposeful keyword searching: Using available tools to build an archive of adolescent blogs

Ch4-conductingmarketingresearchandforecastingdemand-behani

Megha Behani

observation Technique.pptx

PaulineMae5

Understanding Sampling Methods, Simple Random Sampling & Judgment Sampling

AashishArya8

In today’s ever-changing market, how do you keep a pulse on your patients’ needs? Mary Phelan, senior health care consultant at Standing Partnership, and Lisa Richter, principal at richterintel, will share how market research can help you answer the most burning marketing and communications questions. Learn about a recent hospital case study that will show you how affordable research can help drive your organization’s growth strategy. Join us to see how research can help elevate the role you play within your organization!

Affordable Research To Grow Your Hospitals Market Slides

Beth Minnigerode

L4 Intro Statistical Inferencing.pptx

Shambhavi Vats

Sampling and types of techniques

kalyan kumar

Sampling Chapter 6 * Introduction Sampling is the process of selecting observations Often not possible to collect information from all units you wish to study Often not necessary to collect data from everyone out there Allows researcher to make a small subset of observations and then generalize to the rest of the population The Logic of Probability Sampling Samples: a group of subjects selected from a population Probability sampling: a method of selection in which each member of a population has a known chance of being selected Enables us to generalize findings from observing cases to a larger unobserved population Because we are not completely homogeneous, our sample must be representative of the variations that exist among us Conscious and Unconscious Sampling Bias Be conscious of bias – when sample is not fully representative of the larger population from which it was selected Sampling bias is not always obvious Use techniques to help avoid bias Representativeness and Probability of SelectionA sample is representative of the population from which it is selected if the aggregate characteristics of the sample closely approximate the same aggregate characteristics in the populationSamples that are representative of the population are often labeled equal probability of section method (EPSEM) samples because all members of the population have an equal chance of being included in the sample Sampling Terminology 1 Sample Element: who or what are we studying (student) Population: whole group (college freshmen) Population Parameter: summary description of a given variable in a population Sample Statistic: summary description of a given variable in a sample; we use sample statistics to make estimates or inferences of population parameters Sampling Terminology 2Sampling distribution: a range of sample statistics we obtain if we select many samples from a populationSampling frame: actual list of units to be selected (our school’s enrollment list)Binomial variable: a variable with only two values Sampling Terminology 3 Standard error: a measure of sampling error; we can estimate the degree to be expected Confidence Levels and Confidence Intervals Two key components of sampling error We express the accuracy of our sample statistics in terms of a level of confidence that the statistics fall within a specified interval from the parameter Sampling Designs 1 Simple Random Sampling: each element in a sampling frame is assigned a number, choices are then made through random number generation as to which elements will be included in your sample Systematic Sampling: elements in the total list are chosen (systematically) for inclusion in the sample List of 10,000 elements, we want a sample of 1,000, select every tenth element Choose first element randomly Sampling Designs 2 Stratification: modification to random and systematic sampling; ensures that appropriate numbers are drawn from homogeneous subsets of that population Dis.

SamplingChapter 6IntroductionSampling.docx

todd331

Rural Marketing Research

Savi Arora

Vocabulary

Melanie30265

Research Methods and Statistics.....pptx

AllyzzaAzotea

Chapter 6 Selecting a Sample

International advisers

Sampling

uroojumer1

types of sampling methods.pptx

Tamanna946161

research (3) (1).pptx

Tamanna946161

audit sampling notes

student

Health Evidence hosted a 90 minute webinar examining different types of screening tool administration methods used for the detection of intimate partner violence. Nasir Hussain, MD Candidate, Central Michigan University College of Medicine will present findings from his latest Trauma, Violence & Abuse review: Hussain N., Sprague S., Madden K., Hussain F., Pindiprolu B., & Bhandari M. (2015). A comparison of the types of screening tool administration methods used for the detection of intimate partner violence: A systematic review and meta-analysis. Trauma, Violence & Abuse, 16(1), 60-69. Intimate partner violence (IPV) is associated with significant health consequences for victims, including acute/chronic pain, depression, trauma, suicide, death, as well as physical, emotional, and mental harms for families and children. This review discusses the rate of IPV disclosure in adult women (over 18 years of age) with the use of three different screening tool administration methods: computer-assisted self-administered screen, self-administered written screen, and face-to-face interview screen. This webinar highlighted factors that contribute to the effectiveness of screening tool administration methods used for the detection of intimate partner violence.

Comparing screening tools for intimate partner violence detection: What's the...

Health Evidence™

GRP8-Population and Sampling-COELHO.pdf

MaLourdesLazaro1

Using evidence in campaigning

NCVO - National Council for Voluntary Organisations

Non – Probability Sampling (Convenience, Purposive).

Vikas Kumar

Research Surveys

Saba Afaq

Semelhante a Purposeful keyword searching: Using available tools to build an archive of adolescent blogs (20)

Ch4-conductingmarketingresearchandforecastingdemand-behani

observation Technique.pptx

Understanding Sampling Methods, Simple Random Sampling & Judgment Sampling

Affordable Research To Grow Your Hospitals Market Slides

L4 Intro Statistical Inferencing.pptx

Sampling and types of techniques

SamplingChapter 6IntroductionSampling.docx

Rural Marketing Research

Vocabulary

Research Methods and Statistics.....pptx

Chapter 6 Selecting a Sample

Sampling

types of sampling methods.pptx

research (3) (1).pptx

audit sampling notes

Comparing screening tools for intimate partner violence detection: What's the...

GRP8-Population and Sampling-COELHO.pdf

Using evidence in campaigning

Non – Probability Sampling (Convenience, Purposive).

Research Surveys

Mais de Lois Scheidt

Teaching Hurricane Katrina

Lois Scheidt

Doing Gender in Computer-Mediated Communication: The Blogosphere

Lois Scheidt

Drilling down: A look at the digital ways bloggers tell their personal stories

Lois Scheidt

Terms of service agreements and research design

Lois Scheidt

Creating conversation by pressing a link: Which invitations do third-parties ...

Lois Scheidt

Doing gender in Computer-Mediated Communication: The blogosphere

Lois Scheidt

Teaching Hurricane Katrina

Lois Scheidt

The adolescent diary blog and its external audience: Who are posts addressing?

Lois Scheidt

Buxom girls and boys in baseball hats: Adolescent avatars in graphical chat s...

Lois Scheidt

The adolescent diary blog and its audiences

Lois Scheidt

Adolescent diary blogs and the unseen audience

Lois Scheidt

Addressing the unseen the audience envisioned for adolescent diary weblogs

Lois Scheidt

Avatars in adolescent chat spaces

Lois Scheidt

“Dear blog:” A look at adolescent diary blogs and their audiences

Lois Scheidt

Managing the flamingo: Politeness in an adolescent chatroom

Lois Scheidt

Diary Weblogs As Genre

Lois Scheidt

Mais de Lois Scheidt (16)

Teaching Hurricane Katrina

Doing Gender in Computer-Mediated Communication: The Blogosphere

Drilling down: A look at the digital ways bloggers tell their personal stories

Creating conversation by pressing a link: Which invitations do third-parties ...

Doing gender in Computer-Mediated Communication: The blogosphere

Teaching Hurricane Katrina

The adolescent diary blog and its external audience: Who are posts addressing?

Buxom girls and boys in baseball hats: Adolescent avatars in graphical chat s...

The adolescent diary blog and its audiences

Adolescent diary blogs and the unseen audience

Addressing the unseen the audience envisioned for adolescent diary weblogs

Avatars in adolescent chat spaces

“Dear blog:” A look at adolescent diary blogs and their audiences

Managing the flamingo: Politeness in an adolescent chatroom

Diary Weblogs As Genre

Último

PROCESS RECORDING FORMAT.docx

PoojaSen20

Measures of Dispersion and Variability: Range, QD, AD and SD

Thiyagu K

microwave assisted reaction. General introduction

Maksud Ahmed

ICT role in 21st century education and it's challenges.

MaryamAhmad92

How to Give a Domain for a Field in Odoo 17

Celine George

Web & Social Media Analytics Previous Year Question Paper.pdf

Jayanti Pande

TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...

Nguyen Thanh Tu Collection

The global implications of DORA and NIS 2 Directive are significant, extending beyond the European Union. Amongst others, the webinar covers: • DORA and its Implications • Nis 2 Directive and its Implications • How to leverage directive and regulation as a marketing tool and competitive advantage • How to use new compliance framework to request additional budget Presenters: Christophe Mazzola - Senior Cyber Governance Consultant Armed with endless Excel files, a meme catalog worthy of the best X'os (formerly twittos), and a risk register to make your favorite risk manager jealous, I swapped my computer scientist cape a few years ago for that of a (cyber) threat hunter with the honorary title of CISO. Ah, and I am also a quadruple senior certified ISO27001/2/5, Pas mal non ? C'est francais. Malcolm Xavier Malcolm Xavier has been working in the Digital Industry for over 18 Years now. He has worked with Global Clients in South Africa, United States and United Kingdom. He has achieved Many Professional Certifications Like CISSP, Google Cloud Practitioner, TOGAF, Azure Cloud, ITIL v3 etc. His core competencies include IT strategy, cybersecurity, IT infrastructure management, data center migration and consolidation, data protection and compliance, risk management and governance, and IS program development and management. Date: April 25, 2024 Tags: Information Security, Digital Operational Resilience Act (DORA) ------------------------------------------------------------------------------- Find out more about ISO training and certification services Training: Digital Operational Resilience Act (DORA) - EN | PECB NIS 2 Directive - EN | PECB Webinars: https://pecb.com/webinars Article: https://pecb.com/article Whitepaper: https://pecb.com/whitepaper ------------------------------------------------------------------------------- For more information about PECB: Website: https://pecb.com/ LinkedIn: https://www.linkedin.com/company/pecb/ Facebook: https://www.facebook.com/PECBInternational/ Slideshare: http://www.slideshare.net/PECBCERTIFICATION

Beyond the EU: DORA and NIS 2 Directive's Global Impact

PECB

Sociology 101 Demonstration of Learning Exhibit

jbellavia9

A Transgenic animal is one that carries a foreign gene that has been deliberately inserted into its genome. The foreign gene are inserted into the germ line of the animal, so it can be transmitted to the progeny. Transgenic animals are animals that are genetically altered to have traits that mimic symptoms of specific human pathologies. They provide genetic model of various human disease which are important in understanding disease and development of new target.

Role Of Transgenic Animal In Target Validation-1.pptx

NikitaBankoti2

1029-Danh muc Sach Giao Khoa khoi 6.pdf

QucHHunhnh

1029 - Danh muc Sach Giao Khoa 10 . pdf

QucHHunhnh

Mehran University Newsletter Vol-X, Issue-I, 2024

Mehran University of Engineering & Technology, Jamshoro

Introduction to Nonprofit Accounting: The Basics

TechSoup

The basics of sentences session 2pptx copy.pptx

heathfieldcps1

Nutritional Needs Presentation - HLTH 104

misteraugie

Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...

christianmathematics

Seal of Good Local Governance (SGLG) 2024Final.pptx

negromaestrong

In BC’s nearly-decade-old “new” curriculum, the curricular competencies describe the processes that students are expected to develop in areas of learning such as mathematics. They reflect the “Do” in the “Know-Do-Understand” model. Under the “Communicating” header falls the curricular competency “Explain and justify mathematical ideas and decisions.” Note that it contains two processes: “Explain mathematical ideas” and “Justify mathematical decisions.” I have broken it down into its separate parts in order to understand--or reveal--its meaning. The first part is commonplace in classrooms. By now, BC math teachers—and students—understand that “Explain mathematical ideas” means more than “Show your work.” Teachers consistently ask “What did you do?” and “How do you know?” This process is about retelling, not just of steps but of thinking. The second part happens less frequently. Think back to the last time that you observed a student make—a necessary precursor to justify—a mathematical decision. “Justify” is about defending. Like “explain,” it involves reasoning; unlike “explain,” it also involves opinion and debate. In order to reinterpret the curricular competency “Explain and justify mathematical ideas and decisions,” I will continue to take apart its constituent part “Justify mathematical decisions” and carefully examine the term “mathematical decisions.” What, exactly, is a “mathematical decision”? Below, I will categorize answers to this question. These categories, and the provided examples, may help to suggest new opportunities for students to justify.

Making and Justifying Mathematical Decisions.pdf

Chris Hunter

Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes

Celine George