Math, Statistics, & Research Methods: Research Methodology Books & Journals

SPSS Tutorials

Although it is named "SPSS Tutorials," there is a great deal of information about how statistical tests work that goes beyond SPSS. Created by Kent State University Statistical Consultations.
Section 1: Intro to the SPSS Environment:

• Navigate the SPSS interface using the drop-down menus or syntax.
• Create a new dataset or import data from a file.

Section 2: Working with Data covers data manipulation and cleaning of all kinds.

• Create, modify, or compute new variables.
• Manipulate a dataset by splitting, merging, or transposing techniques.

Section 3: Exploring the Data.

• Generate descriptive statistics for numeric variables.
• Create frequency tables and crosstabulations of categorical variables.
• Graph the distributions or relationships of variables.
• Interpret these measures.

Section 4: Analyzing the Data. This section incorporates hypothesis testing.

• Associations (Chi-Square, Pearson's Correlation).
• Comparing means (One Sample t Test, Independent Samples t Test, Paired Samples t Test, One-Way ANOVA).
• Predictive models (Multiple Regression, Logistic Regression, Ordinal Regression).

• American Statistical Association

  The American Statistical Association is the world’s largest community of statisticians, the “Big Tent for Statistics.” It is the second-oldest, continuously operating professional association in the country. Since it was founded in Boston in 1839, the ASA has supported excellence in the development, application, and dissemination of statistical science through meetings, publications, membership services, education, accreditation, and advocacy.

• Data Mining Companies and Organization

  This table lists data mining companies and organizations whose details have been checked.

• Data Science Association

  Our mission is to promote data science to improve life, business and government. Our guiding principles set the aspirations that we endeavor to achieve:
  •Setting standards for the ethical professional practice of data science.
  •Assuring base-level data scientist competency.
  •Advancing data science to serve core values of the scientific method and noblesse oblige.
  •Helping to shape a better future - not just for the powerful, but for the majority of people.

• Digital Analytics Association

  We reaffirm our dedication to taking a more visible leadership role in supporting the industry by responding to and advocating for the needs of the larger analytics community as it evolves. This reflects our commitment to continually evolve as an organization. The association is dedicated to growing along with the industry to reflect the needs of our members. We are sharpening the focus of the Digital Analytics Association’s activities based on the needs of our unique business community. We are improving pre-existing programs and adding new ones that cater to multi-channel data analytics.

• International Institute of Business Analysis

  IIBA® is the non-profit professional association dedicated to the field of business analysis. Through a global network, IIBA connects over 29,000+ Members and more than 300 Corporate Members and 120 Chapters. As the voice of the business analysis community, IIBA supports the recognition of the profession and discipline and works to maintain the global standard for the practices and certification.

• Organizations of interest to the Business Analyst and Systems Analyst

  This is a list of non-profit associations and organizations of interest to the professional business analyst and systems analyst and other IT professionals involved in business analysis or systems analysis. The list contains several organizations that may be of interest along with links to their websites.

• Societies and Groups for Analytics, Data Mining, Data Science, and Knowledge Discovery

  This is another listing of links to association and organization websites that may be of interest to the business analytics community.

• Society of Actuaries

  Predictive models have emerged to help guide businesses. Actuaries serve an important role with predictive analytics by using modeling and data analysis techniques on large data sets to discover predictive patterns and relationships for business use. The actuarial profession has been actively advancing the use of predictive analytics methods in its work. Actuaries have been fast to collect and transform big data into useful information to glean future tendencies and patterns.