Mock Study Sampling and Data Collection Approaches Assignment

Mock Study Sampling and Data Collection Approaches - Assignment Example sampling approach is proposed for the study because of the wide geographical area that the target organization covers, suitability of the sampling design for such diversity, and statistical advantages of the design. Stratified random sampling is a restricted probability sampling approach (Sekaran and Bougie, 2010) in which a population is divided into subgroups and random sampling implemented in each sub-group. Homogeneity within sub groups that distinguishes members of a subgroup from members of other subgroups informs the division (Votg, 2007). Differences in state laws and possible social and cultural values across state boundaries inform the boundaries as the basis for stratification. The sampling design will therefore ensure representation of all sales consultants of the organization towards internal reliability of the study’s results. In addition, eliminated bias through the randomized approach will ensure validity of developed data from sample besides external reliabili ty. Stratified random sampling, like simple random sampling, is easy to implement and this ensure validity due to sampling ccuracy. A sample size of 510 participants is proposed for the study. Seventeen states will be selected at random and a branch of the company selected from each of the states, at random. From each branch, five supervisors or managers will be selected at random and a further five sales consultants, operating under each of the supervisors or managers selected at random. The stratified random approach will contribute to validity and reliability of the study (Christensen, Johnson, and Turner, 2011) and the sample size is adequate because it falls within used sample size ranges in similar studies. Explored literature from empirical studies identifies use of such sizes as 408, 71, and 74 (Graham, Ziegert, and Capitano, 2015; Liden, Wayne, Liao, and Meuser, 2014; Aragon-Correa, Garcia-Morales, and Cordon-Pozo, 2007). Economic feasibility, due to proposed use of internet-based