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  • Week Five
  • Week Six
  • Week Seven
  • Week Eight

Overview

EDR-8220: Statistics II

Course Description:

In this course, you will delve into advanced statistical principles and their application in quantitative research. The curriculum covers a wide range of topics, including inferential analyses and the use of SPSS for advanced data computations. The primary goal is to enhance your independent scholarly abilities, with an emphasis on comprehending and evaluating multivariate data, sophisticated statistical concepts, and effectively presenting statistical results.

Learning Outcomes:

  1. Examine statistical concepts and theories of inferential analyses and the application of these concepts for empirical research.

  2. Select statistical analyses appropriate for a multivariate quantities’ analysis used in comparative, quasi experimental, or experimental research designs.

  3. Interpret conclusions drawn from statistical inferences of data results generated by statistical software.

  4. Compose scholarly narrative to present statistical results and inferences drawn from statistical results in APA format.

Course Concepts:

  1. Data Exploration

  2. Assumptions for Parametric Statistical Procedures

  3. Advanced Parametric Statistical Procedures

  4. Multivariate Analyses

  5. Advance Non-Parametric Procedures

  6. Reporting Statistical Results in the APA Style

  7. Formulation of Conclusions Based on Statistical Results

Course Overview

Week 1: Exploring Datasets

Week 1 Assignment: Examine the Data for Errors (10 Points)

Week 2: Examining the Main Steps of Hypothesis Testing

Week 2 Assignment: Conduct Hypotheses Testing (10 Points)

Week 3: Examining Relationships and Differences

Week 3 Assignment: Analyze Data Using Bivariate Correlation, Regression, and - tests (15 Points)

Week 4: Examining Relationships and Predictions Among Multiple Variables

Week 4 Assignment: Examine Relationships and Predictions Among Multiple Variables (10 Points)

Week 5: Examining Effects Using Factorial and Multivariate Designs

Week 5 Assignment: Analyze Effects Among Multiple Variables (10 Points)

Week 6: Data Reduction (Factor Analysis)

Week 6 Assignment: Conduct Exploratory Factor Analysis (10 Points)

Week 7: Non-Parametric Procedures to Test Significant Differences

Week 7 Assignment: Analyze Data Using Non-Parametric Procedures (10 Points)

Week 8: Advanced Statistical Designs and Analyses

Week 8 Signature Assignment: Design Statistical Analyses (25 Points)

Upcoming

 Course Syllabus

EDR-8220 Statistics II

(3 credits)

Course Description:

In this course, you will delve into advanced statistical principles and their application in quantitative research. The curriculum covers a wide range of topics, including inferential analyses and the use of SPSS for advanced data computations. The primary goal is to enhance your independent scholarly abilities, with an emphasis on comprehending and evaluating multivariate data, sophisticated statistical concepts, and effectively presenting statistical results.

Number of Activities: 8

Learning Outcomes:

  1. Examine statistical concepts and theories of inferential analyses and the application of these concepts for empirical research.

  2. Select statistical analyses appropriate for a multivariate quantities’ analysis used in comparative, quasi experimental, or experimental research designs.

  3. Interpret conclusions drawn from statistical inferences of data results generated by statistical software.

  4. Compose scholarly narrative to present statistical results and inferences drawn from statistical results in APA format.

Course Concepts:

1. Data Exploration

2. Assumptions for Parametric Statistical Procedures

3. Advanced Parametric Statistical Procedures

4. Multivariate Analyses

5. Advance Non-Parametric Procedures

6. Reporting Statistical Results in the APA Style

7. Formulation of Conclusions Based on Statistical Results

Primary Resource Field, A. (2018). Discovering statistics using SPSS (5th ed.). Los Angeles, CA: Sage

Course Overview

Section 1: Review of Basic Data Exploration

Week One

Exploring Datasets

Welcome! This course will build upon and expand upon the work you completed in the first statistics course. As you begin the course, remember that there are many helpful statistics resources in the Academic Success Center (ASC); the link is included in this week’s resources.

As you may recall from the previous statistics course, assignments in this course require you to use Statistical Package for the Social Sciences (SPSS) software. As part of your registration for this course, NCU provides access to SPSS. You should have received an email with information to register and log in to SPSS. If you are unable to find the information, please contact your academic advisor. The link is also provided in this week’s resources.

Take time now to ensure you have access to SPSS so that you are not troubleshooting problems when you are trying to complete an assignment. If you have difficulty accessing SPSS, contact the NCU IT support desk (servicedesk@ncu.edu). Once you access SPSS, any questions should be addressed to your instructor.

In the first three weeks of the course, you will review basic data exploration. The first two assignments in this course are related to the tasks that you will have to do when managing any dataset. After the data are collected in any research project, those data are entered in the statistical software that will be used for analyses. Sometimes, during the data entry process, errors are made entering the values from the collected data to the spreadsheet or the software.

As the person managing the data, you are responsible for the integrity of that data. Therefore, it is important that you review the data for accuracy. Once the data are reviewed and any issues addressed, the next task is to run descriptive statistics for your data. Recall from your previous statistics course that these statistical analyses are determined by the level of measurement of the data; thus, it is important that you describe the data by groups (categorical variable), if necessary.

This week’s assignment asks you to review and examine the dataset before starting the analyses. In any research study, the data collected are not in the same format that you will use to analyze them. Therefore, some steps should follow to guarantee the integrity of the data. In other words, the researcher needs to make sure that the data analyzed are exact to the collected data.

Once the data are entered into the statistical software, you must corroborate that values match what is in the collected data. Sometimes, you will find values that do not match, values that are extreme, etc. It is important that you review these carefully and try to find an explanation or determine whether or not you will include those cases in the analysis.

This is also the time to become familiar with the type of data. For example, what is the level of measurement of the variables? Identify the independent and dependent variables, and determine the type of analyses that could be performed based on the characteristics of the data. Lastly, any statistical analysis must include descriptive statistics for the variables. Remember that not all types of variables are the same; therefore, the descriptive analysis could be different.

Remember to check your access to SPSS as soon as possible to avoid unnecessary stress and delay in completing your assignments.

Heads-Up to the Signature Assignment

Your culminating Signature Assignment (due in Week 8) will reflect all that you have learned within the course, and it may require that you complete some work ahead of time. To ensure you are prepared and have adequate time to complete this assignment, please review the instructions by looking ahead to Week 8. You can contact your professor if you have questions.

The Signature Assignment includes four different questions or scenarios where you have to discuss and explain statistical concepts to answer the questions. For some questions, you must describe certain statistical analyses, while in others you will be provided with a statistics scenario; you will have to develop the research question, hypotheses, and statistical design using the concepts covered on this course.

Be sure to review this week's resources carefully. You are expected to apply the information from these resources when you prepare your assignments.

Weekly Resources and Assignments

Review the resources from the Course Resources link, located in the top navigation bar, to prepare for this week’s assignments. The resources may include textbook reading assignments, journal articles, websites, links to tools or software, videos, handouts, rubrics, etc.