Week 08 - Organizing the Literature: Putting Everything in its Place

SOWK 459 Fall 2019 Planning: Class 08

Location: CBC Campus - Tuesday T-336 & SWL-220
Time: Tuesdays and Thursdays from 5:30-8:15
Week 08: 10/07/19 — 10/13/19
Reading Assignment: DeCarlo (2018) chapter 14
Topic and Content Area: Organizing the Literature
Assignments Due: Assignment 02: reading quiz for chapter 14 is due at 5:30 PM prior to class via My Heritage
Other Important Information: N/A

Agenda

• Unobtrusive Data Collection
• How we can apply research to our fields of practice

People Leave Tracks

• Introduction of concept of unobtrusive data.
• Concept of photo and what we can learn

Unobtrusive Data: a methods of collecting information that don’t interfere with the subjects.

Unobtrusive Measures

Historical Analysis: Research that focuses either on one or more cases over time (the historical part) or on more than one nation or society at one point in time (the comparative part)

Content Analysis: a type of unobtrusive research that involves the study of texts and their meaning.

Secondary Data: Data that is originally gathered by another person or entity.

Identifying Sources of Historical Data

If you were to design a historical study in your topic area…

• Where might you go to find historical data?
• What archives might you need access to?
• What questions would you want to ask?

Unobtrusive Data

Strengths | Limitations —- | —- No Hawthorne effect <br />Cost-effective (usually)< br />Can correct mistakes<br />Historical analysis | Validity problems <br />Data may not exist <br /> Limited ability to understand context

Content Analysis

“Who says what, to whom, why, how, and with what effect?”

• Studying texts and their meaning
• Text: printed materials, visual media, performances, art
• Coding sheet

Not a literature review primary vs. secondary sources

Content Analysis: Choices

The deeper you go into each text, the less you can cover

Inductive vs deductive analysis

Qualitative: identify themes, identify meaning of themes Quantiative: assigning raw values to data for statistical analysis Physical traces: need to understand context in which it was created

Content Analysis Example

What texts could we analyze that might address the migrant caravan and our nation’s immigration policy?

• How could we analyze current texts using content analysis?
• How could we analyze historical texts using historical analysis?

Example of Finding Unobtrusive Data

What would happen if you were trying to find out information about how many facilities offer Hospice Care in Washington State or in a local area. You could find a resource and be able to count them.

www.nationalhospicelocator.com/hospices/washington

How Cold is it In Class?

[Whole Class Activity] Plan how we would collect data

How could we evaluate this using unobtrusive measures

Mid Course Check In

Clifford, A. (n.d.) Teaching restorative practices with classroom circles. Retrieved from https://www.healthiersf.org/RestorativePractices/Resources/documents/RP%20Curriculum%20and%20Scripts%20and%20PowePoints/Classroom%20Curriculum/Teaching%20Restorative%20Practices%20in%20the%20Classroom%207%20lesson%20Curriculum.pdf#page20

Group Norms:

1. Respect the talking piece: everyone listens, everyone has a turn
2. Speak from the heart: your truth, your perspectives, your expriences
3. Listen from the heart: Let go of stories that make it hard to hear each other
4. Trust that you know what to say: no need to rehearse
5. Say just enough: without feeling rushed, be concise and considerate of the time of others

• How does this course and the content of this course connect to your practice?
• There have been a number different technologies that we have been using in this course. What are your thoughts (e.g. email, Moodle, My Heritage)?
• What are some of the things you feel like you are taking away from participating in this course?

Secondary Data

Data: Collected by another researcher (Cost-effective, less time) Purpose May Include:

• Answering a new research question
• Replicating results using different statistical methods
• Analyze unanalyzed data

Usually uses large datasets from surveys, other large studies

Secondary Data Disadvantages

• Data may be out of date
• Study may have used outdated definitions, diagnoses, vocabulary
• No control over type of data collected
• Missing data
• Complicated coding, weighting
• Lack of documentation from original study

Secondary Data Activity

Looking at a Data Set

Looking at a Data Set

https://www.askhys.net