The aim of this study was to investigate the relationship between conscientiousness, academic performance and intellectual ability. Hypothesis one stated that there would be a significant positive relationship between intellectual ability and academic performance. As the previous literature suggested, hypotheses one was supported by the data as there was a significant weak positive relationship.
Hypothesis two stated that there would be a significant positive relationship between conscientiousness and academic performance. The data from this study reinforced previous research and supported the hypothesis with a significant moderate positive relationship between the two variables.
Hypothesis three stated that there would be a significant negative relationship between conscientiousness and intellectual ability. Although the data showed a weak negative relationship, the correlation was not significant as some previous researcher’s also found. Therefore the hypothesis was not supported. This means that the observed relationship in our sample between conscientiousness and intellectual ability was due to chance and would not be observed in the population. In research there has been a mixture of results varying between significant and non-significant negative relationships between the two variables and therefore the significance could be affected primarily by the sample amount for the experiment. The larger sample size could make the p-value decrease which in turn makes the
The greatest factor in the equation of success is motivation. It does not matter how intelligent or creative a person is if they lack the drive to reach their goals. To be a successful student I need
When one speaks of intelligence or how bright another person is, the often quoted figure is the IQ or intelligence quotient. It is the most often used standard of how smart a person is. This paper shall look at what intelligence tests measure, how the IQ tests measure intelligence and interrogate their history. It shall then apply the tests to school policy and hence evaluate their validity.
Cohen’s paper The Earth is Round (p>0.05) is a critique of null-hypothesis significance testing (NHST). In his article, Cohen presents his arguments about what is wrong with NHST and suggests ways in which researchers can improve their research, as well as the way they report their research. Cohen’s main point is that researchers who use NHST often misinterpret the meaning of p-values and what can be concluded from them (Cohen, 1994). Cohen also shows that the NHST is close to worthless. NHST is a way to show how unlikely a result would be if the null hypothesis were true. A Type I error is where the researcher incorrectly rejects a true null hypothesis and a Type II error is where the researcher incorrectly accepts the false null
Whether research is experimental or developmental, there are no guarantees of perfect study processes or results, since both random and systematic errors are expected. Errors and uncertainties of a study’s outcomes surface almost every time. Faulty, aged or incorrectly calibrated instruments, during an experiment, can lead to important alterations of results. Distracting environments definitely influence the outcome. Finally, the human parameter in the sense of having ability to properly operate instruments and correctly interpret measurements definitely consist another factor of imperfect research (Bell 7-9).
The null hypothesis that there is no relationship between the amount of coffee consumption and GPA (p = .62).
studied traits probably play as important a role in work and school success as do more easily measured
In order to know whether the evidence of research studies are accurate, one must be able to have a fundamental understanding in statistical analyses to determine if such descriptions and findings within manuscripts and articles are presented correctly and explicitly (Sullivan, 2012). Proper use of statistics begins with the understanding of both descriptive and inferential statistics. Correct organization and description of data characteristics from the population sample being studied leads the researcher to identify a hypothesis and formulate inferences about such characteristics. It is with inferential statistics that researchers conduct appropriate tests of significance and determine whether to accept or reject the identified null
To enjoy academic success, you must consistently exhibit qualities such as perseverance, diligence, and tenacity; both in and outside of the classroom. When you are inside of a classroom, it is of utmost importance to grant your teacher your full attention. Even the most brilliant of minds find difficulty in achieving success if they do not adhere themselves to actively attempting to learn material that is covered in their classes. Contrary to popular belief, being a ‘genius’ is not required to have good grades. Anyone of average intelligence can achieve classroom success through perseverance and work ethic, although there is truth in the assumption that obtaining stellar grades may be more effortless for those with higher levels of intelligence.
Their research specifically examines the correlation of personality and SAT scores and other standards of academic achievement and aptitude. SAT is one of the most used standardized test used for the central role of college admission at most universities. Although researchers have stated personality and intelligence are conceptually distinct. More research needs to be done to clearly affirm that statement. Noftle and Robins (2007) found that other research that supports the correlation of personality and academic achievement, conscientiousness appeared to be the key predictor of college grades. While the other four traits were not significantly correlated, although openness had positive effects in a few
Gravetter and Wallnau (2015) contend that a close relationship exists between hypothesis testing and the use of confidence intervals. For example, all estimates in the range are credible values for the assessing of parameters when a confidence interval of 95% is constructed (Gordon, 2010; Gravetter & Wallnau, 2015; Howell, 2014). In comparison, values outside the interval are rejected and are considered improbable. Howell (2014) contends that if the null hypothesis includes the confidence interval within it, the null hypothesis will not be rejected; however, the null hypothesis will be rejected if the value of the parameter is outside the confidence interval. Bonett and Wright (2014) argue that when planning a multiple regression analysis, it is essential to attain a population size that will support the study and provide narrow confidence intervals. Therefore, the confidence level in this study was constructed at 1-alpha or 95% interval, meaning that the null hypothesis could be rejected at the 0.05
Another researched factor, test bias, has been shown to have some possible connection to disproportionality, however the research on it is outdated and, despite numerous studies, no conclusive link has been established (Valencia and Suzuki, 2000). Of the studies that have been
My low score tends to be disorganized; I will try to enhance this character of my personality. First of all, I will write down my thoughts; for example, I will endeavor to analyze when and why things went right and wrong. I will write to improve my communication and thinking skills to be a better leader by writing down I can help myself to sharpness my thinking, clear my mind, devastate negative self- talk and pay more attention to my most predominant emotions through the day. Anything and everything I need to remember should be written down. Furthermore, I will set reminders on my phone with a set time. The night before a test, I will make a reminder to study. In addition, I will remove the things that I do not need instead of bargain shopping without planning ahead, I will write down exactly what I need and buy only those items. I will not give in to false advertising because items on sale will only produce more clutter. Furthermore, I will use different colors to help me organize my
Academic success is largely attributed to intellectual ability in everyday life, even though this supports the literature that is intellectual ability does have a large role over academic success it is only one of many factors that can influence academic success, in this study the effect of intellectual ability will be tested against academic success of students to verify and reproduce the results that exist in abundance within multiple studies (Chamorro-Premuzic & Arteche, 2008). Therefore, we will be testing whether the relationship between intellectual ability and academic performance is significant or not. This constructs the first hypothesis for the study:
Education plays a vital role in the human and country development at all stages. There are key determinants that affect the education level which ultimately translate into human and country 's development. Quality education ensures the achievement of knowledge and required skills that enable individuals to enhance the productivity and improve their living standard and access to basic needs. This increase in productivity further translate towards new sources of earning which also further enhances the economic growth of a country (Saxton, 2000). Student performance is a key component of quality education that result in better outputs in the long run. Student intellectual performance measurement has received substantial consideration in previous research literature, it is a challenging aspects of academic literature. Student performance are affected by many factors including social, mental, economic, environmental and personal factors. These factors strongly influence on the student intellectual performance, but these factors vary from person to person and country to country.
Educational adjustments are very important for academic achievement. Ramanna Sood (1992) found significant relationship between achievement motivation and adjustment. According to Good (1993) academic achievement means knowledge attained or skills developed in the school subject, usually designated by test scores or by marks assigned by teachers or by both. Best (1977) pointed out that academic grades assigned by teachers or scores on standardized achievement test is operational definition of academic achievement. According to George and Ravindran (2005) many factors contribute to academic achievement. The major ones are intelligence, adjustments, motivation, academic stress, level of aspirations and time perception etc. In present study academic achievement is being studied with the adjustment, achievement motivation and academic stress.