Introduction Huffman Trucking Company which is based in the United States of America is a transport and delivery company with its head offices in Cleveland. It has its branches spread all over the country for example in St Louis. The company has over 800 trailers and tractors. It employs 925 drivers and 425 support staff. Recent turnovers are 20% above the industry’s average. Safety statistics are good though not good as those of its competitors. Several safety violations have been reported. This prompted the management of Huffman Trucking Company to recommend additional training for drivers. A new training meant to improve the drivers’ skills was implemented. The management also wanted to know the following before and after the training: 1.Did the training have a positive effect on the drivers? What were the drivers’ attitudes on the training’s effectiveness, company policies, and job performance? As a result, Huffman Trucking Company employed the services of a consultancy firm, Iwamoto • Crews • Coe. They were to design a data collection plan and perform data analysis so as to establish the effectiveness of the new training (Glaser & Strauss, 1967). A data collection plan was drawn. It narrowed down the Huffman Trucking organization’s assessment study into three types of data namely demographic data, performance data, and assessment data. Demographic data The best way to collect the demographic data is through the personnel data in the human resource department. A structured data collection sheet should be formulated as the example below. (Table 1) Employed  Driver’s Gender  Region in which the driver is based  2010 Driver’s Salary                                                                                                                                                                                                                                                                                                                                                      Since the targeted total population size is relatively large, about 925 cases and several sheets are required. The researcher should carefully go through all the personnel data and record the relevant data on the sheet (Shettleworth, 2010). A counter check of both the hardcopy and softcopy data is essential for verification purposes. When the process of data collection is complete, identification of variables and their measurement scales is important for the purpose of analysis. The following table illustrates the variables identified and their measurements. (Table 2) Variable Name  Type               Measurement       Labels          Employed       Numeric            Scale – interval  n/a                            Continuous values                                    Gender         String             Nominal           0 – Male                       Discrete values                      1 – Female                                                          0 – Cleveland   Region         String             Nominal           1 – Los Angeles                Discrete values                      2 – St. Louis                                                       3 – Bayonne     Salary         Numeric            Scale             n/a              Performance Data The primary role of the performance data is to ex