Education Commons^™

Mca Scores And Student Success, Aaron Jackson

School District Data

The Minnesota Comprehensive Assessment (MCA) is a test taken by all Minnesota students in high school. There are three sections on the MCA Test: Math, Reading, and Science. MCA scores are used primarily for ranking Minnesota high schools. Schools are then able to tell where they rank in the state of Minnesota. The Reading and Science section are taken in 10th grade, with scores ranging from 1000-1099. Math assessments are given in 11th grade, with ranges 1100-1199. The Minnesota State Colleges and Universities (MNSCU) used MCA scores to detect students who they believed would not be career ready. Numerous studies …

Map Test Analysis, Ansai Bio-Sawe

School District Data

The Measures of Academic Progress (MAP) is a computerized adaptive test, unlike a traditional test in which, students have the same questions with a predefined amount of time to take the exam. In the MAP test, each student has a different set of questions, which varies on responses to earlier questions. In fact, if the student gives the correct answer to a question, the next questions will be harder. The opposite occurs as well: if a student gives an incorrect answer, the next questions become easier. The MAP test is used to see if a student is on –track for …

Alignment Between Star And Mca For Grades 10 And 11, Li Xian Cha

School District Data

STAR, the products from a software company, Renaissance, are used for screening and progress-monitoring overtime. An alignment was completed by Renaissance between STAR and MCA, the Minnesota Comprehensive Assessment, for grades 3 through 8. This research study will help contribute to the research of alignment between STAR and MCA. This research is predicting the expected STAR scores by season for student proficiency in MCA reading and math at 50% and 90% probability levels. The STAR scores needed to achieve 50% and 90% chance of MCA proficiency for each season will be calculated in this study. Overall, the STAR scores needed …

Early Reading Analysis, Jessica Chiantera

School District Data

Students take different tests in Pre-K and Kindergarten to track their academic progress. For literacy skills, these tests are the Teaching Strategies GOLD, which is taken in Pre-K, and the FastBridge earlyReading, which is taken in Kindergarten. The objective of this report is to find the relationship between the Pre-K and Kindergarten tests and find which tests are the most important predictors of students overall success in Kindergarten. This study looked at students in three school districts: Princeton, Sartell-St. Stephen, and Sauk Rapids-Rice. The main things found in this research are the following:

• Regression models comparing the four Kindergarten subtests …

Qualitative Data Analysis: A Compendium Of Techniques And A Framework For Selection For School Psychology Research And Beyond, Nancy L. Leech, Anthony J. Onwuegbuzie

Nancy Leech

Qualitative researchers in school psychology have a multitude of analyses available for data. The purpose of this article is to present several of the most common methods for analyzing qualitative data. Specifically, the authors describe the following 18 qualitative analysis techniques: method of constant comparison analysis, keywords-in-context, word count, classical content analysis, domain analysis, taxonomic analysis, componential analysis, conversation analysis, discourse analysis, secondary analysis, membership categorization analysis, narrative analysis, qualitative comparative analysis, semiotics, manifest content analysis, latent content analysis, text mining, and microinterlocutor analysis. Moreover, the authors present a new framework for organizing these analysis techniques via the four major …

The Use Of A Checklist And Qualitative Notebooks For An Interactive Process Of Teaching And Learning Qualitative Research, Rebecca K. Frels, Bipin Sharma, Anthony J. Onwuegbuzie, Nancy L. Leech, Marcella Stark

Nancy Leech

From the perspective of doctoral students and instructors, we explain a developmental, interactive process based upon the Checklist for Qualitative Data Collection, Data Analysis, and Data Interpretation (Onwuegbuzie, 2010) for students' writing assignments regarding: (a) the application of conceptual knowledge for collecting, analyzing, and interpreting qualitative data; (b) utilizing detailed instructor feedback of content and writing style as a positive catalyst for growth; and (c) integrating feedback in future assignments and reflecting on the process. We advocate the cyclical use of this framework for teaching and learning rigorous qualitative research.

Beyond Constant Comparison Qualitative Data Analysis: Using Nvivo, Nancy L. Leech, Anthony J. Onwuegbuzie

Nancy Leech

The purposes of this paper are to outline seven types of qualitative data analysis techniques, to present step-by-step guidance for conducting these analyses via a computer-assisted qualitative data analysis software program (i.e., NVivo9), and to present screenshots of the data analysis process. Specifically, the following seven analyses are presented: constant comparison analysis, classical content analysis, keyword-in-context, word count, domain analysis, taxonomic analysis, and componential analysis. It is our hope that providing a clear step-by-step process for conducting these analyses with NVivo9 will assist school psychology researchers in increasing the rigor of their qualitative data analysis procedures. (Contains 9 figures and …

Professional Development Data: A Review Of Action Research And Data Analysis And Its Implications For Special Education, Jennifer Lee Suppo

Journal of Research Initiatives

In today’s world of accountability and budgeting constraints, schools are examining how they get the most “bang for their buck” in the area of professional development experiences. Professional development has traditionally been used to keep teachers and administrators abreast of current teaching strategies. In using the traditional model of professional development, typically the school or district would have a speaker, who was knowledgeable on a random topic of education, come in and conduct a one-day seminar. More often than not, there was little accountability to this traditional model; little if any data was taken to see if the knowledge obtained …