Week 13 - Interpreting Findings in Program Evaluation

A presentation at Heritage at CBC Week 13 in April 2020 in Pasco, WA 99301, USA by Jacob Campbell

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INTERPRETING FINDINGS ANALYZING AND UNDERSTANDING DATA FOR PROGRAM EVALUATION Jacob Campbell, LICSW Heritage University Spring 2020 SOWK 460

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THE BLIND MEN AND THE ELEPHANT BY JOHN G. SAXE (READ BY TOM O’BEDLAM) HTTPS://YOUTU.BE/BJVBQEFNXIW

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THE BLIND MEN AND THE ELEPHANT A PARABLE AND CONNECTION WITH DATA ANALYSIS They all all touched different parts of the elephant and believed that they were SPRING 2020 SOWK 460 - INTERPRETING FINDINGS JACOB CAMPBELL, LICSW AT HERITAGE UNIVERSITY

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AGENDA PLAN FOR CLASS TIME What is the purpose of data ananalysis Scales of measurement Types of calculation How we implement it for program evaluation SPRING 2020 SOWK 460 - INTERPRETING FINDINGS JACOB CAMPBELL, LICSW AT HERITAGE UNIVERSITY

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PURPOSE OF DATA ANALYSIS WHY DO WE DO THIS? DESCRIBE AND SUMMARIZE THE DATA IDENTIFY RELATIONSHIPS BETWEEN VARIABLES COMPARE VARIABLES IDENTIFY THE DIFFERENCE BETWEEN VARIABLES FORECAST OUTCOMES SPRING 2020 SOWK 460 - INTERPRETING FINDINGS JACOB CAMPBELL, LICSW AT HERITAGE UNIVERSITY

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T D ata can be classified into a nonnumerical or named categories, and the order in which these categories can be written or asked is arbitrary. he data can be classified into nonnumerical or named categories an inherent order exists among the response categories. Ordinal scales are seen in questions that call for ratings of quality (for example, very good, good, fair, poor, very poor) and agreement (for example, strongly agree, agree, disagree, strongly disagree). here numbers represent the possible response categories there is a natural ranking of the categories zero on the scale has meaning there is a quantifiable difference within categories and between consecutive categories. W SCALES OF MEASUREMENT NOMINAL SCALE SPRING 2020 ORDINAL SCALE SOWK 460 - INTERPRETING FINDINGS NUMERICAL SCALE JACOB CAMPBELL, LICSW AT HERITAGE UNIVERSITY

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TYPES OF CALCULATION METHODS USED TO CALCULATE DATA • Count (frequencies) • Percentage • Mean (average) • Mode (number of times) • Median (middle number) • Range • Standard deviation (amount of change) • Cross tabulation (comparative) • Change score (pretest / post test) • Quantitative analysis (SPSS) SPRING 2020 SOWK 460 - INTERPRETING FINDINGS JACOB CAMPBELL, LICSW AT HERITAGE UNIVERSITY

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SO WHERE DO WE GO FROM HERE? What kind of data have you collected How are you analyzing it Technical support