1. Data Analysis Software 2.01 Data Analysis Navigating the software Overview & Help Technical Explanations Entering and Viewing Data Analyzing Data Tools

2. Data Analysis Software 2.02 Technical Explanations Overview of Process Statistical Procedures Statistical Significance Effect size Terminology and Frequently Asked Questions Clarifications

3. Data Analysis Software 2.03 Statistical Procedures It will allow you to find the statistical significance of the change in your scores and it will allow you to find the effect size.

4. Data Analysis Software 2.04 Significance Statistical significance only tells you the probability that you would obtain a change as great as you did. It does not tell you the magnitude of change nor does it tell you if the amount of change is worthwhile in your situation..05 level = 5% level of confidence If the change is significant at the 5% level, that means that in only 5% of the cases in which one would draw random samples from their population would they get a difference as great as they found.

5. Data Analysis Software 2.05 Effect Size Effect size indicates the magnitude of change An effect size of.3 or less = substantial growth.2 but less than.3 = good growth.1 but less than.2 = growth enough to mention.1 but greater than -.1 = growth but not enough to mention. -.1 and -.2 = decline -.2 and -.3 = bad decline -.3 or greater = substantial decline

6. Data Analysis Software 2.06 Entering & Viewing Data Click on the “create a new empty file” for your data set or imported data set. Click on the “select a file you wish to view or edit” you will see a list of data files including your own.

7. Data Analysis Software 2.07 Analyzing Data Import student data Enter data manually Enter general information Find records Find and replace data Edit list of students and scores Generate reports … sort by Disaggregate data Duplicate data set Delete all general information in this data set Delete all records in this data set

8. Data Analysis Software 2.08 Disaggregation Gender Ethnicity ESL/LEP (qualified & non-qualified) Socioeconomic Status (low SES & Non- Low SES) Mobility Special Education (Qualified and Not Qualified)

9. Data Analysis Software 2.09 Assessment Types NCE’s Percent Correct Percentile Rank Raw Score Rubrics

10. Data Analysis Software 2.010 Tools Mean Score Tool Quartile Rank Placement Tool Percentile Tool Trend Data Tool