SURVEY DESIGN 1 Definition of the Study Does high self-esteem bring about the better academic performance of undergraduate university students? This survey sought to establish how high self-esteem affects the academic performance of undergraduate university students and effectively examine the relationship that exists between high self-esteem and the academic achievement of undergraduate university students. Self-esteem is identified as the independent variable in the study, and academic performance as the dependent variable. In psychology, self-esteem is conceptually defined as the personalized attitude towards self-worthiness or the individual’s desirability. In other words, it is the degree of self-appreciation and likeness which includes the inner beliefs, emotional state, and behavior. Operationally, selfesteem can be defined as what the mind believes to be factual and the extent of self-worthiness, capability, and how valuable an individual is and which is pegged on the effect of environmental factors. Self-esteem can be measured by how well the mind responds to environmental factors. The interrelation of self-esteem and the environment can be measured by the following components; internal locus of control, sense of inclusion, and one’s approval, and the feeling of proficiency. Self-esteem can be subjected to the nominal level of measurement as it is considered to either be high or low. Academic performance on the other hand is the degree of achievement of either short-term or long-term educational objectives. It is the assessment of the student’s individual or school overall achievement across numerous educational subjects. Academic performance is well appraised by achievement levels of students, discipline referrals, frequency of school attendance, rates of graduation, and the level of teacher satisfaction which are considered to be ordinal variables. SURVEY DESIGN 2 The study utilized the following research hypothesis to guide the course of the research and establish the relationship between the variables; ‘High self-esteem does not bring about better academic performance’. This is a directional hypothesis that dictates the direction of the anticipated relationship. This direction gives a rough approximation regarding the relationship between the two variables; self-esteem and academic performance. However, a zero correlation exists between the two variables as per the hypothesis that is, no relationship between high selfesteem with better academic attainment of undergraduate university students. A null hypothesis is significant to this study because it is the basis for argument and seeks to remove the doubt about the validity of the relationship that exists among the variables. Methods The survey design was adopted to draw the link between high self-esteem and the educational achievement of undergraduate university students. The design was used to quantitatively describe distinct characteristics of a given population while examining the relationship that exists among the variables. In this study, the distinct characteristics will be collected from a sample of the population and the results retracted back to the entire population. The study will target undergraduate university students as primary participants. When gathering the sample from the target population, the study will adopt a stratified random sampling technique. It involves dividing the population into smaller groups. This technique will ensure the representation of the key factors. 300 undergraduate students within the age of 18 to 25 years will be chosen as the target population. The stratification of the target population was based on the cases of extroverts among the students being given the priority. This will be the inclusion criteria for the stratification of the population. The population was made up of both genders each taking half making sure that both genders are covered in the survey. The sampling frame in this process SURVEY DESIGN 3 will be the reported extrovert students within the university. This will be used as a benchmark of the students with higher self-esteem in the university. To ensure, an equal age distribution in the sample, three age groups will be created, 18 to 20, 21 to 23, and 24 to 25 years. Equal percentages from the age groups will be selected arriving at a total sample size of 100 students. Stratified sampling ensures the precision and inclusiveness of the findings by minimizing the sampling bias. However, it requires prior comprehension of the aspects of the sampling frame which might not always be available and sometimes finding the basis of stratification is difficult. To effectively collect data from the sample population, a structured questionnaire with a Likert scale of measurement of self-esteem was developed. This measurement scale gauged the self-esteem by giving the participants assertions depicting the beliefs about the self-esteem being measured. The Likert Scale has a series of descriptions of opinions over an issue. The participant’s self-esteem is then a degree of how the respondent agrees or disagrees with the opinion. The measurement scale is a 5-point scale of how the participants agree or disagree with the suggestion. This structured questionnaire presented standardized questions to the respondents with no variations. The questionnaire was suitable for this survey study because of its ability to easily collect data from a large sample and it provides quantitative data which is easy to collect and analyze. The developed questionnaire adopted a funnel format of a survey which commences with general questions about the self-esteem of the respondent and then narrow down to more specific aspects of self—esteem, hence requiring more details at subsequent levels of the survey. Since this survey involves examining the respondents’ attitudes, beliefs, and self-esteem at large, a self-report survey will be adopted. This survey required individual respondents to respond to the questions by themselves. A self-report survey is suitable because it enables the collection of data about the respondents’ behaviors which can be regarded as private or unethical when simulated in the SURVEY DESIGN 4 laboratories. However, due to the private nature of information being sought from the respondents, some data might be exaggerated thereby skewing the results of the study. To achieve a successful survey, certain principles have to be adhered to. Concerning this study, the following rules were followed; defining a clear and measurable objective for the survey, which in this case was to measure the level of self-esteem among students, focusing on closedended questions which involve the use of pre-populated response choices for the participant to choose from hence providing comprehensive quantitative data for easy classification and analysis, keeping the more personal or private questions towards the end, which ensures that the respondent is bombarded with personal queries at the start which might create discomfort that might lead to the respondent concealing some of the crucial data, and lastly making every question in the survey count by making sure that each inquiry contributes and guide the responses of the survey which are directly related to the objective of the survey. This was accomplished by adopting a funnel survey format that is suitable for the collection of personal and private information from the participants and also aimed at creating comfort for the participant before up close questions are introduced. Critique The validity of this survey however was vulnerable to the threats. These are the inaccuracies and biases in the articulation of the research problem, study design, sampling procedure, and the collection of data which may result in a systematic variance from the true findings of the population, and unavailability of the validity in the survey makes the dependent and confounding variables to influence the behavior of the dependent variable. The risks to the viability of this survey are; firstly, selection. This is when the respondents in the survey have divergent attributes such as age, attitude, intelligence among others and the uniqueness might skew SURVEY DESIGN 5 the results. Secondly, history, that is the occurrence of the events either concurrently or previously which might amend the findings of the study, and lastly, the attitude of the respondents. This is such that, the suggestions of the respondent change due to their involvement in the study; also known as the Hawthorne effect, thus altering the findings of the survey. Furthermore, the survey was not free of confounding variables. These are the overlooked intruding factors that are closely related to the independent variable which may ruin the survey or tend to skew the findings by influencing the responses during data collection. Stress levels among the students proved to be a confounding factor during the survey and which could influence the responses by the participants. A respondent under stress would tend to exaggerate the responses due to the cloud effect resulting in false positive or negative responses. To counter the effects posed by the confounding factor, the study adopted randomization and restriction strategies during sampling. Randomization minimized the capability of confounding by coming up with fairly comparable strata concerning the confounding factors while restriction eliminated the deviation in the confounding variable by limiting the study to those students who appeared not disturbed by the subject under study hence they were free to give the required information. In conclusion, the survey was the most appropriate design to be adopted during the study. The design was inclusive in the number of variables to be studied, and minimal investment was required to develop and implement thus making it easier to draw the conclusions. The survey design was capable to collect data from large samples of the population. Unlike the experimental design, the survey elicited information about the attitude, beliefs, and behavior that make up the self-esteem of the respondents. Coupled with the self-report procedure, the survey collected information first-hand information which was deemed to be personal and might be considered if simulated in laboratories. The survey however did not fall short of limitations, these included; SURVEY DESIGN 6 vulnerability to errors and biases which occurred from the unavailability of responses from the participants or the inaccuracy of the received responses, errors resulting from intentional twisting of behaviors by the participants to align with the prerequisites of the survey, and the inability of the respondents to the conditions their behavior thus giving rise to the confounding factors. This survey would be relevant to the psychologists and academicians to establish the underlying factors concerning the academic performance of students and drawing up necessary measures aimed at uplifting self-esteem among students and thus their academic achievement.