Spring 2026 SOWK 460w Week 13 - Interpreting Findings Analyzing and Understanding Data for Program Evaluation

A presentation at Heritage University in April 2026 by Jacob Campbell and is tagged with Heritage University, BASW Program, SOWK 460w

The slide features a bronze sculpture of an elephant surrounded by people, alongside text: 'INTERPRETING FINDINGS,' 'ANALYZING AND UNDERSTANDING DATA FOR PROGRAM EVALUATION,' and course details, 'Jacob Campbell, Ph.D LICSW, Heritage University, Spring 2026, SOWK 460w.'

A small sculpture depicts an elephant surrounded by six blind men exploring different parts. The background features text reading 'THE BLIND MEN AND THE ELEPHANT by John G. Saxe' with a YouTube link.

A group of blind men examines an elephant, each touching different parts, interpreting them uniquely as a fan, spear, snake, tree, wall, and rope. This illustrates varied perspectives in data analysis.Text includes:- 'THE BLIND MEN AND THE ELEPHANT'- 'A PARABLE AND CONNECTION WITH DATA ANALYSIS'- 'They all touched different parts of the elephant and believed that they were'- 'Spring 2026'- 'SOWK 460v - Interpreting Findings'- 'Jacob Campbell, Ph.D. LICSW at Heritage'

**Object**: Slide text**Action**: Lists and outlines**Context**: Presentation on data analysis The slide is titled 'PLAN FOR WEEK 13' with the agenda covering data analysis purpose, measurement scales, calculation types, interpretation application, and evaluation implementation. Learning objectives are understanding and interpreting data, applying visualization principles, and creating data-based charts. It includes course details and the instructor's name.

The slide titled 'PURPOSE OF DATA ANALYSIS' lists five actions: Describe and Summarize Data, Identify Relationships Between Variables, Compare Variables, Identify Differences Between Variables, and Forecast Outcomes. Context includes course details and a silhouette of an animal.

Title: 'SCALES OF MEASUREMENT'Object: Three vertical bars labeled 'Nominal Scale,' 'Ordinal Scale,' and 'Numerical Scale.'Action: Each bar contains a description of the scale's characteristics and uses.Context: The bars are set against a white background with bold title text.Text: - Nominal Scale: 'Data can be classified into non-numerical or named categories, and the order ... is arbitrary.'- Ordinal Scale: 'Data can be ... response categories. Ordinal scales are seen ... rankings of quality ... agreement.'- Numerical Scale: 'Here numbers represent the possible response ... differences between categories mean nothing.'Other text includes course information and author's name.

A presentation slide lists statistical calculation methods under 'Types of Calculation.' It categorizes them into Univariate Statistics, Bivariate Analysis, Multiple Regression, Factor Analysis, and Analysis of Categorical Variables, with examples like mean, t-test, and chi-square analysis.

The slide titled 'Types of Triangulation' features a diagram showing 'Finding' connected to three 'Data' points. Text explains five triangulation types: Data Source, Investigator, Methodological, Theoretical, and Data-Analysis.

'Slide from a presentation outlines effective data visualization. Includes tips: 'Use correct geometry,' 'Diagram first,' 'Adopt best software.' Flowchart shows 'Figure design' to 'Figure review.' Bottom text: Spring 2026, SOWK 460w.'

Title: 'PRINCIPLES OF EFFECTIVE DATA VISUALIZATION.' The slide features various charts and graphs like bar chart, histogram, scatter plot, logistic regression curve, boxplot, heatmap, and violin plot. Caption: 'Use the correct geometry: consider showing the data.' Footer notes: 'Spring 2026, SOWK 460w - Interpreting Findings, Jacob Campbell, Ph.D. LICSW at Heritage University.'

'Principles of Effective Data Visualization' slide lists key techniques: consider infographics, distinguish models, show uncertainty, use geometry, focus on messaging, adopt suitable software, and review figures. Features icons and boxed tips.

The image depicts a presentation slide for 'Presentation Planning' with text mentioning 'Flyer Agreement' and 'Light Refreshments.' It includes a flyer for a 'Student Program Evaluation Symposium' at Heritage University on May 4, 2026, from 5:30 to 8:00 PM, with details about attendance, participation, and location in Room 4204.

**Object**: QR code **Action**: Encourages participation in a survey **Context**: Presentation slide titled 'CLASS ACTIVITY' for 'BASW QUALITY ASSURANCE SURVEY' in Spring 2025; includes survey instructions and context text; URL: https://forms.office.com/r/VTmJUMY4iE.

The image displays two presentation slides. Left slide: 'SMALL GROUP ACTIVITY' with pink circles; prompts groups to present data insights. Right slide: 'BASW QUALITY ASSURANCE SURVEY' for a practical findings course.

Text in bold asks, 'SO WHERE DO WE GO FROM HERE?' against a gradient background. Below, a box lists, “What kind of data have you collected, How are you analyzing it, Technical support, Time to work in your groups.” Context indicates a presentation from Spring 2026 with author details at the bottom.

Dr. Jacob Campbell

15 slides

Description

Week 13 is synchronous, with class on Monday (4/13). Students read Royse (2023) Chapter 12, which covers understanding statistical data, finding patterns, and analyzing outcome data. This week we turn our attention to data analysis and interpretation. During class, students will apply these concepts by analyzing real survey data and working in small groups to interpret and present findings. The agenda for the in-person class includes:

What is the purpose of data analysis
Scales of measurement
Types of calculation
Practical application of interpreting findings
How we implement it for program evaluation

Learning Objectives this week

Describe methods used to understand and interpret data.
Apply principles of effective data visualization to represent data.
Create charts using real data to practice presenting information.