- How should I cite Intellectus Statistics™?
- What should I do if I am having difficulties logging in to my Intellectus Statistics™ account?
- How do I perform data management in Intellectus Statistics™?
- How do I convert my data to CSV format?
- Do I need to use Intellectus Statistics™ with any other statistical analysis program?
- Accessibility
- Is Intellectus Statistics compatible with Mac?
- What method does Intellectus Statistics use to impute missing values?
- Data Privacy and Security
- I know I have more than 500 observations, but I don’t see them under Data Tool?
- How do I upload data?
- How does Intellectus compare to SPSS?
- What level of measurement should I choose for my analysis?
- What types of data files can I upload?
- What do you mean by nominal, ordinal, and scale level variables?
- Can I use Intellectus Statistics™ if I stated I am using SPSS, Stata, or another software package in my dissertation proposal?

**
How should I cite Intellectus Statistics™? **

Current APA guidelines require that you cite software used as part of a research study. To adhere to these guidelines, please use the following citation when utilizing Intellectus Statistics™ in your research:

Intellectus Statistics. (2017). Intellectus Statistics [Online computer software]. Retrieved from http://analyze.intellectusstatistics.com/

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What should I do if I am having difficulties logging in to my Intellectus Statistics™ account? **

First make sure you are at the correct URL: https://analyze.intellectusstatistics.com/login.php

If you can’t remember your password, select the Forgot/Change Password link. You can also give us a call at 888-383-6639 or send us an email at [email protected] and we’ll help you log-in.

**
How do I perform data management in Intellectus Statistics™? **

Intellectus Statistics™ has been designed to allow you to perform data management tasks while utilizing the software. After you first upload your data, you can verify the Level of Measurement for each of your variables, and can change the level by selecting the desired option from the appropriate drop down menu and following the subsequent instructions. The Manage Your Data page also allows you to perform further management tasks, including Reverse Coding, Computation of Composite Scores, Removal of Univariate Outliers, Removal of Multivariate Outliers, Transformation, and Multiple Imputation. To learn more about each of these options, simply scroll over the desired task and a pop-up window will provide more information. After you have performed your data management tasks, you have the option to download an updated data set that will reflect any changes you made.

**
How do I convert my data to CSV format? **

You can convert your data in CSV format by entering it into a Microsoft Excel file, then selecting the “CSV (Comma delimited)” option from the Save as type drop down menu when saving your file.

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Do I need to use Intellectus Statistics™ with any other statistical analysis program? **

No, Intellectus Statistics™ is a stand-alone platform. You do not need to have access to SPSS, SAS, STATA or any other analysis program to use Intellectus Statistics™.

**
Accessibility **

View our Web Content Accessibility Guidelines 2.0 Checklist here.

**
Is Intellectus Statistics compatible with Mac? **

Yes! Intellectus is web-based so it can be used on any operating system. All you need is an internet connection.

**
What method does Intellectus Statistics use to impute missing values? **

Intellectus Statistics uses two methods of imputation, both described in the book *Data Analysis Using Regression and Multilevel/Hierarchical Models* by Andrew Gelman and Jennifer Hill. For Nominal and Ordinal variables, the missing values are imputed by randomly sampling from the observed categories. For Scale variables, a type of regression imputation is used. First, the missing values are imputed using the predicted values from the regression (the mean in this case). Last, a random amount is added to each imputed value based on the prediction error.

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Data Privacy and Security **

We protect your data using industry standard SSL encryption, increasing the security of all data transfers within our application. Once uploaded, your data is stored securely in a non-web accessible location, ensuring your data can only be accessed while logged in to your account. To further enhance the safety and security of your data, we recommend you de-identify your data prior to uploading it.

**
I know I have more than 500 observations, but I don’t see them under Data Tool? **

The data view in Data Tools only shows the first 500 observations. To view and manage the entire data set, click Edit Data option under Data Tools.

**
How do I upload data? **

Select Create Project/Upload Dataset

Name your project

Select the type of data that you would like to upload

Upload your dataset from your device.

**
How does Intellectus compare to SPSS? **

A usability study was published in 2018 comparing Intellectus Statistics and SPSS differences in user performance based on presentation of statistical data. You can read the full study here.

**
What level of measurement should I choose for my analysis? **

When your data is uploaded to the Intellectus Statistics™ application you should confirm your levels of measurement are as follows for each analysis:

Pearson Correlation: All variables are scale level of measurement

One way ANOVA: Independent variable is nominal level of measurement; dependent variable is scale

Independent samples t-test: Independent variable is a dichotomous nominal; dependent variable is scale

Dependent samples t-test: both variables are scale

Chi-square: x variable (factor) is nominal; Y variable (factor) is nominal

Linear regression: Dependent variable is scale; predictor(s) scale, ordinal, or nominal

Mediation: Continuous or dichotomous categorical variable

Moderation: Continuous or dichotomous categorical variable

Reliability: All variables should be the same level of measurement with themselves (e.g., only ordinal variables used together)

Logistic regression: Independent variables are nominal or scale; dependent variable is dichotomous

Wilcoxon signed rank: Both variables are ordinal (or scale)

Mann Whitney U: Independent variable is dichotomous; dependent variable is ordinal (or scale)

Kruskal Wallis: Independent variable is nominal with three or more levels; dependent variable is ordinal (or scale)

Friedman Test: All variables are ordinal (or scale)

Repeated measures ANOVA: All variables are scale

One-within One between ANOVA: Independent variable is nominal; dependent variables are scale

ANCOVA: Independent variable is nominal; covariates are scale; dependent variable is scale

Two-Between ANOVA: Dependent variable is scale; independent variables are nominal

**
What types of data files can I upload? **

The application will accept data in .csv, .xlsx, and .sav formats, you can also enter your own data.

When uploading your data file to the application all variables with text data will default to nominal level of measurement and all variables with numeric data will default to scale level of measurement. Level of measurement can be adjusted after upload if desired.

**
What do you mean by nominal, ordinal, and scale level variables? **

**Nominal:** In this level of measurement, alphanumeric characters or names are used to categorize the data. For example, if gender is your variable, the responses will be male or female.

**Ordinal:** Ordinal level variables have a meaningful order to them such as rank. For example there is an order to “drink size” (small, medium, large, extra large), however there is not a consistent interval (volume, distance, time, etc.) among categories.

**Scale: **Numeric variables that have equal intervals between each value, for example age. For example, the amount of time between a 1 year old and 2 year old is the same amount of time as a 51 and 52 year old.

**
Can I use Intellectus Statistics™ if I stated I am using SPSS, Stata, or another software package in my dissertation proposal? **

Absolutely yes. The Intellectus Statistics™ statistical tests (e.g., ANOVA, regression, chi-square, etc.) use the same statistical algorithms (e.g., least squares) and probability distributions (e.g., binominal, chi-squared, F-distribution, Fisher’s Z, Logistic, Normal, Poisson, etc.). Therefore, the significance levels and conclusions drawn are precisely the same and yield identical results.