Skip to Main Content
It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.

Learn About the ASC

In this guide, students, faculty members, and staff can learn more about the ASC's tiers of service, policies, and staff.

Reserving Your Session

Please use the Academic Success Center Coaching Scheduler to reserve your seat to attend any of the available group sessions. 

Review the Register tab of the Learn the ASC page for assistance with registering for scheduled coaching.

 

All sessions are scheduled using Phoenix, AZ - Mountain Standard Time


Writing Group Sessions

Charts and Variables Session Icon

Thursday 11:00 a.m. 

Join the Charts & Variables group session to develop a greater understanding of variables in research. In this session, you will learn how to identify and define variables, describe the level of measurement of each variable, and construct various examples of these definitions. Additionally, you will discuss with the group how a variable’s level of measurement connects with the different descriptive and inferential statistics you can use, as well as the types of visual displays that are most appropriate. Coaching Scheduler

Introduction to SPSS: Basics Skills & Descriptive Statistics icon

Sunday 5:00 p.m. 

This group session will introduce you to the Statistical Package for the Social Sciences (SPSS) data analytic software. It is designed for the student who has little to no experience with SPSS. Do you know how to input data into SPSS or the differences between data view and variable view? Can you create graphs, tables, and charts in SPSS? Do you know how to import data into SPSS? In this session, you will learn these and other fundamental SPSS skills. Coaching Scheduler

Quantitative Research Design iconFriday 5:00 p.m. 

This group session will introduce you to experimental, quasi-experimental, non-experimental, and causal-comparative research designs, including the description and general requirements for each design typology. During this group session, you will learn about the requirements for an experimental, quasi-experimental, or non-experimental research study. The information you learn during this interactive session will help you to make an informed design selection and fully understand why that selection is the most appropriate for your study. Coaching Scheduler

SPSS: ANOVA/MANOVA group session iconThursday 6:00 p.m. 

This group session will introduce you to using the SPSS software for univariate and factorial analysis of variance (ANOVA) and multivariate analysis of variance (MANOVA). This group is designed for the student who has experience with SPSS. Do you know how to test the assumptions of univariate and multivariate normality, homogeneity of variances and covariance matrices, and linearity?  Or how to interpret the effect size, post hoc power, and multiple comparisons test? In this session, you will learn how to do these and other associated statistical techniques in SPSS. Coaching Scheduler

SPSS: Correlation/Linear Regression group session iconFriday 6:00 p.m. 

This group session will introduce you to using the SPSS software to run bivariate correlations, and simple/multiple linear regression analysis. This group is designed for the student who has experience with SPSS. Do you know how to test the assumptions of linearity, multicollinearity, independence, homoscedasticity, etc.? Or how to interpret the model summary, ANOVA, and coefficients tables? In this session, you will learn how to do these and other associated statistical techniques in SPSS. Coaching Scheduler

SPSS: T-Tests group session iconTuesday 6:00 p.m. 

This group session will introduce you to using the SPSS software to run single sample, independent samples, and paired-samples t-tests. This group is designed for the student who has experience with SPSS and can run basic descriptive statistical summaries, tables, graphs, etc. Do you know how to test the assumptions of normality and equality (homogeneity) of variances? Or how to interpret confidence intervals, equality of variances, equality of means, or means differences tables? In this session, you will learn how to do these and other associated statistical techniques in SPSS. Coaching Scheduler

Writing Statistical Results group session iconSunday 2:00 p.m. 

The Writing Statistical Results group session will provide you the opportunity to have guided practice through the quantitative research process from conducting a power analysis to determine sample size, addressing your analysis for assumption violations, addressing potential assumption violations, interpreting results tables, and writing up the results of your statistical analysis by implementing proper scientific notation. Each week, the group session will address one of the popular statistical analysis that many NCU Doctoral Students utilize in their quantitative dissertationsCoaching Scheduler

NCU Library Home

ASC Home

CTL Home

IRB Home

DSE Home

ADE Home

JFK Resource Home

Office of the Registrar Home