Merge pull request HugoBlox#6 from xcq-ca/sep2022

Adding all remaining 2022 presentations

content/event/allan-2022-ecots/index.md

@@ -0,0 +1,27 @@
+---
+title: "Determining an Appropriate Placement Test for Introductory Statistics: Preliminary Findings"
+abstract: "Viewers will see the process of developing a placement test framework, and the outlining of a remedial course which together can ensure students are placed appropriately and enter their statistics course with the prerequisite knowledge and skill required for success. A discussion of the validation process provides a model that can be applied by others to improve mathematics and statistics placements at their own institutions. Using this data-driven process allows for more informed decisions on test development, revision, and deciding if a placement test is needed. Modern students expect equitable and valid assessments and preparatory courses that are effective well-aligned with their needs. Some helpful considerations are included to support equitable placement test development."
+location: Virtual (eCOTS 2022)
+date: 2022-05-24T18:40:00.000Z
+date_end: 2022-05-24T19:20:00.000Z
+all_day: true
+event: The Sixth Biennial Electronic Conference on Teaching Statistics (eCOTS)
+event_url: https://www.causeweb.org/cause/ecots/ecots22/program/posters/tu-06
+date_end: 2022-05-24T19:20:00.000Z
+draft: false
+featured: false
+authors:
+  - Katerina Allan
+  - admin
+tags:
+  - math-ed
+  - stat-ed
+  - instrument development
+projects:
+  - placement-test
+image:
+  filename: featured.jpg
+  focal_point: Smart
+  preview_only: false
+---
+{{<youtube rwRCaHhcavU>}}

content/event/bond-2022-iuse/index.md

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+---
+title: "The SOMAS/DS Family of Instruments to Measure Students, Instructors and Learning Environment"
+#abstract: ""
+location: Washington, DC
+date: 2022-06-01T13:10:00.927Z
+date_end: 2022-06-03T13:35:00.000Z
+#times should not matter because date range given
+#ask Marj for real time
+all_day: true
+#links:
+#  - name: Slides
+#    url: unfried-2021-jsm-slides.pdf
+event: 2022 Improving Undergraduate STEM Education (IUSE) Summit
+#event_url: https://web.cvent.com/event/50270ae8-73c8-4110-a5d8-0cc70f95d989/summary
+date_end: 2022-06-03T13:35:00.000Z
+draft: false
+featured: false
+authors:
+  - Marjorie E. Bond
+  - Alana Unfried
+  - admin
+  - April Kerby-Helm
+  - Michael Posner
+  - Leyla Batakci
+  - Wendine Bolon
+tags:
+  - S-SOMAS
+  - S-SOMADS
+  - ds-ed
+  - stat-ed
+  - attitudes
+projects:
+  - masder
+image:
+  filename: featured
+  focal_point: Smart
+  preview_only: false
+---

content/event/bond-2022-jsm/index.md

@@ -0,0 +1,33 @@
+---
+title: "What Do Instructors Think About Teaching Statistics?"
+abstract: "Through an NSF IUSE grant (Developing Validated Instruments to Measure Student/Faculty Attitudes in Undergraduate Statistics and Data Science Education; DUE-2013392), our research team is developing a family of validated instrument to measure the students’ attitudes toward learning statistics, instructors' attitudes toward teaching statistics, and learning environment. Measuring instructor attitudes and environment allows identification of features related to improvement of student attitudes. The instructor version of the Survey of Motivational Attitudes toward Statistics (I-SOMAS) is based on Expectancy-Value Theory (Eccles et al., 1983; Eccles & Wigfield 2002) is a first of its kind to measure statistics-instructors’ attitudes. We will present our item development process and the psychometric properties for the most recent I-SOMAS pilot administration. Statistics instructors and educational researchers who are interested in being involved with data collection in future phases of the project are encouraged to contact the authors."
+location: Washington, DC
+date: 2022-08-09T14:30:00.927Z
+date_end: 2022-08-12T16:20:00.000Z
+all_day: true
+#links:
+#  - name: Slides
+#    url: unfried-2021-jsm-slides.pdf
+event: Joint Statistical Meetings 2022
+event_url: https://ww2.amstat.org/meetings/jsm/2022/onlineprogram/AbstractDetails.cfm?abstractid=323564
+publishDate: 2022-08-09T14:30:00.927Z
+draft: false
+featured: false
+authors:
+  - Marjorie Bond
+  - Leyla Batakci
+  - Michael Posner
+  - admin
+  - April Kerby-Helm
+  - Alana Unfried
+tags:
+  - E-SOMAS
+  - stat-ed
+  - attitudes
+projects:
+  - masder
+image:
+  filename: featured
+  focal_point: Smart
+  preview_only: false
+---

content/event/challenges-assessing-statistics-attitudes-opportunities-and-costs/index.md

@@ -17,8 +17,11 @@ featured: false
 authors:
   - admin
 tags:
-  - attitudes
   - ESG
+  - survey
+  - statistics
+  - EVT
+  - attitudes
 projects:
   - grid-items
 image:

content/event/dunham-2022-ecots/index.md

@@ -0,0 +1,28 @@
+---
+title: "Pilot 2: Further Development and Psychometric Analysis of the Student Survey of Motivational Attitudes Towards Statistics"
+abstract: "Student attitudes towards statistics are connected with numerous important educational outcomes in statistics. Previously developed surveys on student attitudes towards statistics have exhibited poor psychometric properties, were not developed under educational theory, or are simply outdated. The Student Survey of Motivational Attitudes toward Statistics (S-SOMAS) (developed under NSF DUE-2013392) was developed under the Expectancy-Value Theorem (EVT) Framework and aims to measure undergraduate student attitudes towards statistics. The S-SOMAS has undergone numerous rounds of pilot administrations and revisions, leading to a second pilot instrument with 88 items measuring 8 theoretical constructs. The revised S-SOMAS was administered to 3,114 undergraduate students at 41 Universities across the United States in Fall 2021, collecting both demographic and attitudinal information. This poster will give an overview of the S-SOMAS instrument and describe its psychometric properties. Exploratory Factor Analysis, Confirmatory Factor Analysis and Item Response Theory were used to determine which items to retain in the survey. Results show strong reliability and validity with a clear factor structure based on educational theory. Come learn about the current development of the S-SOMAS and how instructors can get involved in the Fall 2022 national data collection."
+location: Virtual (eCOTS 2022)
+date: 2022-05-24T18:40:00.000Z
+date_end: 2022-05-24T19:20:00.000Z
+all_day: true
+event: The Sixth Biennial Electronic Conference on Teaching Statistics (eCOTS)
+event_url: https://causeweb.org/cause/uscots/uscots21/pilot-2-further-development-and-psychometric-analysis-student-survey-motivational
+date_end: 2022-05-24T19:20:00.000Z
+draft: false
+featured: false
+authors:
+  - Matthew Dunham
+  - Alana Unfried
+  - admin
+tags:
+  - S-SOMAS
+  - stat-ed
+  - instrument development
+projects:
+  - masder
+image:
+  filename: featured.jpg
+  focal_point: Smart
+  preview_only: false
+---
+{{<youtube A5BpD-32HLQ>}}

content/event/dunham-2022-uroc/index.md

@@ -0,0 +1,27 @@
+---
+title: "Pilot 2: Further Development and Psychometric Analysis of the Student Survey of Motivational Attitudes Towards Statistics"
+#abstract: "Student attitudes towards statistics are connected with numerous important educational outcomes in statistics. Previously developed surveys on student attitudes towards statistics have exhibited poor psychometric properties, were not developed under educational theory, or are simply outdated. The Student Survey of Motivational Attitudes toward Statistics (S-SOMAS) (developed under NSF DUE-2013392) was developed under the Expectancy-Value Theorem (EVT) Framework and aims to measure undergraduate student attitudes towards statistics. The S-SOMAS has undergone numerous rounds of pilot administrations and revisions, leading to a second pilot instrument with 88 items measuring 8 theoretical constructs. The revised S-SOMAS was administered to 3,114 undergraduate students at 41 Universities across the United States in Fall 2021, collecting both demographic and attitudinal information. This poster will give an overview of the S-SOMAS instrument and describe its psychometric properties. Exploratory Factor Analysis, Confirmatory Factor Analysis and Item Response Theory were used to determine which items to retain in the survey. Results show strong reliability and validity with a clear factor structure based on educational theory. Come learn about the current development of the S-SOMAS and how instructors can get involved in the Fall 2022 national data collection."
+location: Seaside, California
+date: 2022-04-22T20:02:00.000Z
+date_end: 2022-04-22T20:15:00.000Z
+all_day: true
+event: CSUMB Research, Scholarship, & Creative Activity Spring Showcase
+event_url: https://csumb.edu/uroc/research-scholarship-creative-activity-spring-showcase-0/
+date_end: 2022-04-22T20:15:00.000Z
+draft: false
+featured: false
+authors:
+  - Matthew Dunham
+  - Alana Unfried
+  - admin
+tags:
+  - S-SOMAS
+  - stat-ed
+  - instrument development
+projects:
+  - masder
+image:
+  filename: featured.jpg
+  focal_point: Smart
+  preview_only: false
+---

content/event/harrell-williams-2022-ecots/index.md

@@ -0,0 +1,29 @@
+---
+title: "Assessing the Modern Student: Using a Modern Measurement Theory Framework When Choosing a Measure for Classroom or Research Use"
+abstract: "In modern statistics and data science classes, we teach students to be critical about the source of their data. Along the same lines, educators and education researchers need to evaluate and contribute to the existing validity evidence for scores from the tests and instruments that they use to measure student and teacher knowledge and attitudes/beliefs in their classrooms and/or their research. However, the modern measurement theory view around validity evidence is not well incorporated into the statistics and data science education community. This workshop will introduce the modern educator and researcher to best practices in educational measurement and discuss types and sources of validity evidence with examples from statistics and data science education. Participants will gain experience with identifying interpretation and use statements and sources of validity evidence from recently published research articles about statistics and data science education tests and instruments."
+location: Virtual (eCOTS 2022)
+date: 2022-05-19T15:30:00.000Z
+date_end: 2022-05-19T20:00:00.000Z
+all_day: true
+event: The Sixth Biennial Electronic Conference on Teaching Statistics (eCOTS)
+event_url: https://www.causeweb.org/cause/ecots/ecots22/program/workshop/2
+date_end: 2022-05-19T20:00:00.000Z
+draft: false
+featured: false
+authors:
+  - Leigh Harrell-Williams
+  - Taylore Mule'
+  - Stephanie Casey
+  - Charlotte Bolch
+  - admin
+tags:
+  - stat-ed
+  - validity
+projects:
+  - vm2ed
+image:
+  filename: featured.jpg
+  focal_point: Smart
+  preview_only: false
+---
+{{<youtube rwRCaHhcavU>}}

content/event/posner-2022-jsm/index.md

@@ -0,0 +1,33 @@
+---
+title: "I Love Data Science! Do My Students? Let’s Measure It!"
+abstract: "Data science courses are in high demand, and statisticians are often tapped to teach them. Efforts are lacking in data science education research to rigorously measure the effectiveness of teaching methods on student learning and attitudes in data science. Do student attitudes matter as much in data science as they have been shown to matter in statistics? (Ramirez et al., 2012; Kerby & Wroughton, 2017; Pearl et al., 2012) We leverage our work on motivational attitudes toward statistics to develop a family of instruments to measure attitudes toward data science. We will discuss our pilot Student Survey of Motivational Attitudes toward Data Science (S-SOMADS). This includes the theoretical framework, based on Expectancy-Value Theory (Eccles et al., 1983; Eccles & Wigfield, 2002), as well as the item development, subject-matter-expert review, pilot data collection, and exploratory factor analysis results. We will conclude with future directions of the project, including development of instructor and environment instruments, as well as how current or future data science instructors and educational researchers can get involved. This project is supported with NSF funding (DUE-2013392)."
+location: Washington, DC
+date: 2022-08-09T14:30:00.927Z
+date_end: 2022-08-12T16:20:00.000Z
+all_day: true
+#links:
+#  - name: Slides
+#    url: unfried-2021-jsm-slides.pdf
+event: Joint Statistical Meetings 2022
+event_url: https://ww2.amstat.org/meetings/jsm/2022/onlineprogram/AbstractDetails.cfm?abstractid=322570
+publishDate: 2022-08-09T14:30:00.927Z
+draft: false
+featured: false
+authors:
+  - Michael Posner
+  - April Kerby-Helm
+  - Alana Unfried
+  - admin
+  - Marjorie Bond
+  - Leyla Batakci
+tags:
+  - S-SOMADS
+  - ds-ed
+  - attitudes
+projects:
+  - masder
+image:
+  filename: featured
+  focal_point: Smart
+  preview_only: false
+---

content/event/posner-2022-mathfest/index.md

@@ -0,0 +1,33 @@
+---
+title: "Attitudes Matter! A New Instrument in Motivational Attitudes Toward Statistics / Data Science"
+abstract: "Attitudes matter in mathematics education, especially in fields like statistics, which sometimes suffer from a poor reputation, and data science. Understanding the relationship between both student and instructor attitudes and student achievement is crucial for improving instruction. Through an NSF grant (DUE-2013392), our research team is developing two new sets of attitudinal instruments - one in statistics and one in data science. In addition to student surveys, we are developing instruments to measure the learning environment and instructor attitudes. We will share our rationale for developing these six instruments, the theoretical framework for these instruments, Expectancy Value Theory, and we will discuss recent results and psychometric properties of piloted items. Statistics and data science instructors and educational researchers are invited to get involved in data collection."
+location: Philadelphia, Pennsylvania
+date: 2022-08-05T13:10:00.927Z
+date_end: 2022-08-05T13:35:00.000Z
+all_day: true
+#links:
+#  - name: Slides
+#    url: unfried-2021-jsm-slides.pdf
+event: MAA MathFest 2022
+event_url: https://web.cvent.com/event/50270ae8-73c8-4110-a5d8-0cc70f95d989/summary
+publishDate: 2022-08-09T14:30:00.927Z
+draft: false
+featured: false
+authors:
+  - Michael Posner
+  - April Kerby-Helm
+  - Alana Unfried
+  - admin
+tags:
+  - S-SOMAS
+  - S-SOMADS
+  - ds-ed
+  - stat-ed
+  - attitudes
+projects:
+  - masder
+image:
+  filename: featured
+  focal_point: Smart
+  preview_only: false
+---

content/event/unfried-2021-jsm/index.md

@@ -23,7 +23,7 @@ all_day: true
 links:
   - name: Slides
     url: unfried-2021-jsm-slides.pdf
-event: Joint Statistics Meetings 2021
+event: Joint Statistical Meetings 2021
 event_url: https://ww2.amstat.org/meetings/jsm/2021/onlineprogram/AbstractDetails.cfm?abstractid=318913
 publishDate: 2021-09-29T22:12:44.948Z
 draft: false
@@ -46,4 +46,4 @@ image:
   focal_point: Smart
   preview_only: false
 ---
-{{<youtube PnLdPlS-BVQ>}}
+{{<youtube PnLdPlS-BVQ>}}

content/event/unfried-2022-jmm/index.md

@@ -0,0 +1,34 @@
+---
+title: "Motivational Attitudes in Statistics and Data Science"
+abstract: "Attitudes matter in mathematics education, especially in fields like statistics which sometimes suffer from a poor reputation; understanding the relationship between both student and instructor attitudes and student achievement is crucial for improving mathematics education. Through an NSF IUSE grant (Developing Validated Instruments to Measure Student/Faculty Attitudes in Undergraduate Statistics and Data Science Education; DUE-2013392), our research team is developing a new set of attitudinal instruments, the Student and Instructor Surveys of Motivational Attitudes toward Statistics (S- and I-SOMAS), to quantify these attitudes. Additionally, we are developing instruments to measure the learning environment and an analogous set of instruments to measure attitudes toward data science. We will share our rationale for developing these six instruments, and we will discuss the psychometric properties of the most recent S-SOMAS pilot survey administration. We will also present the theoretical framework for these instruments, Expectancy Value Theory (Eccles et al., 1983). Statistics and data science instructors and educational researchers who are interested in being involved with data collection in future phases of the project are encouraged to contact the authors."
+location: Virtual (JMM 2022)
+date: 2022-04-06T20:00:00.927Z
+date_end: 2022-04-06T20:15:00.000Z
+all_day: true
+#links:
+#  - name: Slides
+#    url: unfried-2021-jsm-slides.pdf
+event: Joint Mathematics Meetings 2022
+event_url: https://meetings.ams.org/math/jmm2022/meetingapp.cgi/Paper/9857
+date_end: 2022-04-06T20:15:00.000Z
+draft: false
+featured: false
+authors:
+  - Alana Jane Unfried
+  - admin
+  - Leyla Batakci
+  - Michael Posner
+tags:
+  - S-SOMAS
+  - S-SOMADS
+  - I-SOMAS
+  - stat-ed
+  - ds-ed
+  - attitudes
+projects:
+  - masder
+image:
+  filename: featured
+  focal_point: Smart
+  preview_only: false
+---

content/event/unfried-2022-jsm/index.md

@@ -3,12 +3,12 @@ title: "Measuring Student Attitudes – a Modern Approach, and Why You Should Ge
 abstract: "Statistics educators have been studying undergraduate student attitudes toward statistics for decades, but with lack of modern instruments for collecting attitudes and a mechanism for studying these attitudes at the national scale. These two needs are met with our NSF-funded grant MASDER: Motivational Attitudes in Statistics and Data Science Education (DUE-2013392). Prior research tells us that attitudes matter in statistics and data science education, and it is crucial for educators to understand these attitudes. Through the grant, our research team is creating a family of validated instruments to measure student attitudes toward statistics or data science, instructor attitudes toward teaching statistics or data science, and the learning environment. We will describe the goals of the grant, the six instruments under development and the development process, and brief psychometric findings from our Spring 2022 survey administrations. We encourage statistics and data science instructors and educational researchers to get involved with data collection for Fall 2022."
 location: Washington, DC
 date: 2022-08-09T14:30:00.927Z
-date_end: 2022-08-12T16:20:00.000Z
+date_end: 2022-08-09T16:20:00.000Z
 all_day: true
 #links:
 #  - name: Slides
 #    url: unfried-2021-jsm-slides.pdf
-event: Joint Statistics Meetings 2022
+event: Joint Statistical Meetings 2022
 event_url: https://ww2.amstat.org/meetings/jsm/2022/onlineprogram/AbstractDetails.cfm?abstractid=323499
 publishDate: 2022-08-09T14:30:00.927Z
 draft: false
@@ -22,7 +22,10 @@ authors:
   - Michael Posner
 tags:
   - S-SOMAS
+  - S-SOMADS
+  - I-SOMAS
   - stat-ed
+  - ds-ed
   - attitudes
 projects:
   - masder

content/event/whitaker-2022-ssc/index.md

@@ -0,0 +1,30 @@
+---
+title: "Investigation of Bivariate Grid-Type Items for Measuring Attitudes in Statistics Education: Preliminary Results"
+abstract: "Likert-type items are ubiquitous in attitude research in statistics education but imply a reciprocal relationship between positivity and negativity in the construct being measured. Based on historical challenges measuring some constructs in a widely used framework in statistics education (Eccles’s Expectancy-Value Theory [EVT]), we speculate that the reciprocal relationship implied by the Likert-type items may not be appropriate. Evaluative Space Grid (ESG) items have been proposed as an alternative: respondents indicate their positivity and negativity on a grid that does not impose a reciprocal relationship. However, there have been relatively few studies that focus on ESG items. This presentation reports on a set of preliminary studies that seek to describe the psychometric properties of ESG items and document evidence of their appropriateness (or lack thereof) for measuring EVT constructs. Data have been collected from introductory statistics students and a general participant pool."
+location: Virtual (SSC 2022)
+date: 2022-05-30T17:30:24.523Z
+date_end: 2022-05-30T17:45:00.000Z
+all_day: true
+links:
+  - name: "Slides"
+    url: whitaker-2022-ssc-slides.pdf
+event: "Statistics Society of Canada 2022 Annual Meeting "
+event_url: https://ssc.ca/en/meetings/annual/2022-annual-meeting
+date_end: 2022-05-30T17:45:00.000Z
+draft: false
+featured: false
+authors:
+  - admin
+tags:
+  - ESG
+  - survey
+  - statistics
+  - EVT
+  - attitudes
+projects:
+  - grid-items
+image:
+  filename: featured
+  focal_point: Smart
+  preview_only: false
+---