Application of statistics in healthcare is extremely important as it is used to guide decision makers. Statistical analysis is used widely by the health care organizations to gauge their performances results. By identifying statistical trends and trails, health care providers can monitor local conditions and compare them to state, national, and international trends. Health statistics provide empirical data to assist in the allocation of public and private funds and help to determine how research efforts should be focused. Health care companies struggle every day to efficiently deliver quality goods and services. The statistics help the companies gauge failure and success in their performances.
This study analyzed which destination attributes were important in satisfying tourists who visited North Cyprus, and identified the relationship of satisfaction to tourists’ characteristics. In developing an instrument for this study, previous literature from studies with similar objectives was examined as to identify suitable instruments for this study.
The questionnaire used in this study consisted of four parts. The first part explored the travel behavior characteristics of the tourists. Part 2 explored some different destination attributes affecting tourists’ expectations, perceptions, and levels of satisfaction in relation to North Cyprus tourism sector. Respondents were asked for to give a score to each of the 16 attributes on the levels of perceptions and expectations independently using a 5-point likert – type scale ranging from completely unimportant expectation (1) to completely important expectation (5) and from completely disagree (1) perception to completely agree (5) perception. The third part consist of two parts; firstly, the (dis)satisfaction and loyalty part where respondents were asked to score their intentions after they leave North Cyprus on a 5-point scale ranging from strongly disagree (1) to strongly agree (5) while the second part they were to rate and make suggestion for improvement on some of the chosen attributes ranging from poor (1) to excellent (5). Finally the last part of the questionnaires explored the demographic characteristics of the tourists.
The dependent variable of this study is the tourists’ satisfaction, the independent variable include all the listed 16 destination attributes while the control variable are the tourists’ demographic characteristics and their travel behavioral characteristics. All these can be seen in the questionnaire in appendix 1.
5.6. Survey Instrument (questionnaires)Pretest
The survey instrument was revised as to strengthen its validity; the questionnaire which was taken from a previous work with a similar contest was given to the Head of Department of Industrial engineering (my supervisor) for assessment and possible corrections. Based on the feedback received, the questionnaire was modified. Then, the questionnaire was tested through few samples of tourists in one of the destinations. The main aim of the pretest was to validate the questions of the study.
5.7. Data Reliability And Validity
Reliability can be defined as consistency in measurement. It shows the extent to which a measurement is without bias (error free). The reliability coefficient (Cronbach Alpha) was verified as a means to establish the reliability of the tourists’ satisfaction measurement used in the survey instrument. Therefore, the reliability of tests on the selected destination attributes was accomplished.
Validity indicates the degree to which an instrument measures the cons
