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Minnesota State University - Moorhead


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Home > Sales > Reseller Partners Program > Introduction

Reseller Partners Program

ResearchWare, Inc. welcomes all interested resellers who believe that they have a market to sell our software to.

Our Reseller Partners Program offers interested Resellers a base 25% discount on all sales of our products. This discount increases with sales volume. We seek resellers who can reach our target markets – people seeking to analyze qualitative data. These can be in areas such as education, market research, health care, legal, arts, literature, and many more. You know your own organization’s audience. If they have any need to analyze audio, video or textual data qualitatively, our products are the easiest and most powerful out there to do just that.

Unlike our Affiliates, who receive a commission for referrals that result in sales, Resellers purchase product from ResearchWare at a discount and resell that product to their own clients and customers.

As a Reseller, you will be guaranteeing that (i) the material on your Web site does not contain representations of violence, sexually-explicit content or discriminatory statements or representations with respect to race, sex, religion, nationality, disability, sexual orientation or age, nor is it illegal in any other way; (ii) the material used does not infringe the rights of third parties, especially no patent, authorial, brand or other commercial property rights or general personal rights; (iii) you do not send any e-mail without the express, previous permission of the recipient of the e-mail (spam e-mails). Violation of any of these conditions will result in immediate revocation of your Reseller status.

Click here to see the products and Reseller discounts ResearchWare offers.

Click here to proceed directly to the ResearchWare Reseller Application Form.

Last Updated (Thursday, 12 November 2009 15:24)

 
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News Flash

A recently published study on distance education utilized HyperRESEARCH for analysis of video source material. Teaching and Learning Against all Odds: A Video-Based Study of Learner-to-Instructor Interaction in International Distance Education by Jean-Marie Muhirwa, published in The International Review of Research in Open and Distance Learning in the August 2009 issue is available at: http://www.irrodl.org/index.php/irrodl/article/view/628/1314.In this mixed-methods approach, a quantitative analysis of video interactions in distance learning was complimented with qualitative analysis using HyperRESEARCH.