Surveyresearch has been considered to benefit organizations due to theinformation that organizations obtain through surveys. For instance,an organization is likely to have information concerning itscustomers by using survey research. Such information is crucial inhelping the organization serve its customers in a better and enhancedmanner. However, sometimes organizations cannot rely on these surveyresearches because they do not usually provide the right information.In such a situation, customers and the organization conductingresearch are likely to be affected in a negative manner. In thisassignment, it will be argued that survey researches are inaccurateand this affects customers and the management team. In this case, thetextile industry will be considered.
Surveysare usually conducted with the chief aim of obtaining informationthat will help in making an organization better. However, there is atendency of having inaccurate information from a survey which mayrender the information obtained useless. In a textile industry,information obtained from a survey research can be inaccurate due tovarious reasons this can make the information obtained from such asurvey useless. The following paragraphs explain the reasons whyinformation from a survey research in a textile industry can beinaccurate.
Oneof the reasons why survey in a textile industry may not be accurateis due to measurement error. Measurement error describes the extentto which a statistic will differ from the true value because of theimperfections in the manner the statistic is collected. In a textileindustry, measurement errors may result because of poor questioning(Biemer &Wiley InterScience,2004). Instead of asking the appropriate questions in order to obtainthe right answers, a textile industry may ask inappropriatequestions, which may attract undesired responses. For example, atextile industry may want to know the colors, which are favorable tocustomers in order to consider increasing cloths having the colorshowever, it may limit the responses to just three colors. This mayend up obtaining the undesired information since there are othercolors, which the respondents may want to give out as their favorite,but may not be among the options offered. On the other hand, atextile industry may assess customer feedback by just considering atthe counter purchases, but fails to consider online purchases. Insuch a situation, the results of the survey may not be accurate sincethe results will become skewed by the customers that do onlineshopping.
Anotherreason why the information from a survey done by a textile industrymay not be accurate is due to non-responsive errors. A non-responsiveerror can occur, when an obtained sample tends to differ from anoriginal selected sample. In most cases, a survey may not go asdesired because the selected sample may not be the actualrespondents. This is because there may be respondents that fallwithin a population sample, but they end up not giving theirresponses concerning a certain issue being investigated by anorganization (Denscombe,2007). This may lead to inaccuracy of the information provided in asurvey because the responses of the non-responsive individuals arenot known. For instance, consider a selected sample of 100respondents that is being surveyed by the textile industry. Ratherthan the entire sample giving their responses, only 67 respondentsgive out their responses because the respondents may not be availableduring the time of the survey. In such a scenario, the textileindustry may end up assuming the responses of the non-responsiveindividuals, which may lead to the inaccuracy of the informationobtained from the survey. Therefore, non-responsive errors may leadto the inaccuracy of surveys conducted by the textile industry.
Samplingerror entails another reason for the inaccuracy of informationcollected in a survey by an organization in a textile industry.Sampling error describes an error that occurs the moment a samplingtechnique is used in selecting a sample, but the sample selected isnot a representative of the population being investigated. When theselected sample is not a representative of the population underconsideration, the information obtained from a survey is likely to beinaccurate since the information obtained does not accurately matchthe concerns of the population under consideration. Take forinstance, a company in the textile industry may conduct a survey inorder to determine the color of cloths to consider producing.However, in conducting this survey, it may use 400 respondents out ofwhich 300 are males and 100 females. In such a scenario, a samplingerror is likely to occur since males are overrepresented, whilefemales are underrepresented. This implies that the results from sucha survey may not be accurate because the sample used in the surveydoes not represent the population under consideration. Thus, in casethere is a sampling error survey conducted in a textile industry islikely to yield inaccurate results.
Besides,population specification error may also render to surveys conductedby an organization in a textile industry being inaccurate. Populationspecification error is a kind of an error that occurs, when aresearcher chooses an inappropriate population or area in which tocollect information (Marsden &Wright,2010). When data is collected from the wrong population, there is alikelihood of obtaining inaccurate information because the populationmay not offer accurate information. For instance, an organization inthe textile industry may wish to collect data from its customers, butit may offer a priority to housewives and ignore the informationprovided by husbands. In this case, the husbands may have a greatershare of purchasing cloths compared to housewives and may have adirect influence to what is purchased in the organization. However,ignoring the contribution of husbands may lead to the organizationobtaining the wrong results because of choosing the wrong audience inobtaining information. Hence, an organization in a textile industryis bound to receive inaccurate data because of using the wrongaudience in its survey.
Inaddition, selection error is another error that can lead to theinaccuracy of data obtained from a survey conducted by anorganization in a textile industry. Selection error entails asampling error for a sample, which is chosen through anon-probability method. An organization in the textile industry mayconduct a survey, but when conducting the survey, researchers mayonly select respondents that are most accessible. Such a sample willoften comprises friends and associates that bear some degree ofcharacteristic resemblance to those of the population desired(Sapsford,2006). Because of the selection error, the information obtained by anorganization may be inaccurate because the results may be skewedtowards a desired direction.
Whenthere are inaccuracies in the information provided through surveysconducted by an organization, the population that is affected is theactual customers of the organization and prospectus customers. Thisis because the need for having a survey is to increase customersatisfaction. Therefore, in case a survey reveals that customers aresatisfied by the services or commodities provided by theorganization, the organization may not enhance its services to thecustomers. This may affect customers because they may not be in aposition to obtain high quality services (Marsden &Wright,2010). On the other hand, surveys may provide different informationfrom the true opinions of customers, which may affect customers.Another population affected by the inaccurate surveys is themanagement team of an organization. Once an organization does notobtain accurate information from a survey, the management team isaffected since an organization may not perform as required leading tothe firing of the management team. For example, in case a surveyindicates that customers are satisfied by the services of anorganization, which is not true customers may find anotherorganization where they can get satisfaction. This may lead to thefiring of the management team due to performance issues.
Althoughsurvey researches may be taken seriously by an organization becausethey help in increasing customer satisfaction, sometimes thesesurveys may be inaccurate due to different reasons. The errors thatmay lead to the inaccuracy of the information obtained from a surveyinclude selection error, sampling error, population specificationerror, non-responsive error, and measurement error. When such errorscome to play, the population that is likely to be affected is themanagement team and customers. Customers are likely to be affected asa result of lacking satisfaction, while the management team maybecome fired.
Biemer,P. P., & Wiley InterScience. (2004). Measurementerrors in surveys.Hoboken, N.J: Wiley-Interscience.
Denscombe,M. (2007). Thegood research guide: For small-scale social research projects.Maidenhead: Open University Press.
Marsden,P. V., & Wright, J. D. (2010). Handbookof survey research.Bingley, UK: Emerald.
Sapsford,R. J. (2006). SurveyResearch.London: Sage Publications.