Cell Phone Usage at Al Ittihad Model School Among Male Students

Cell Phone Usage at Al Ittihad Model School Among Male Students This study will utilize both qualitative and quantitative data since the study variables require that these two types of data be captured during the research process.Advertising We will write a custom research paper sample on Cell Phone Usage at Al Ittihad Model School Among Male Students specifically for you for only $16.05 $11/page Learn More Questionnaires will be used to collect the primary data since the study concerns variables that cannot be directly observed such as opinions, perceptions, and feelings of respondents. Such implicit feelings will only be collected through writing, and the questionnaire will be the best tool to collect both structured and semi-structured questions. The questionnaire will be in two parts. The first part will seek information on the background of the respondents, while the second part will obtain specific information on use of cell phones by the respondents under study. Both set of information collected through this quest ionnaire will therefore be qualitative and quantitative in nature. The data collected through questionnaires will then be entered into a database where statistical analyses will be done. The quantitative data will be analyzed using descriptive statistics and statistical programs such as SPSS while qualitative data will first be coded and then analyzed (Silver, 1993). After the finalization of data entry from the selected samples, the next step will be analysis of the data using descriptive statistics to determine the accuracy of the research objectives and hypotheses. In this case since our research study intends to investigate whether cell phone usage at Al Ittihad Model School among male students has any causal-effects, then my focus will be on analyzing descriptive statistics such as mean, Pearson Correlation Coefficient and Variance and Standard Deviation among others (Silver, 1993). Both variance and the standard deviation are used to measure the variability of a dataset i.e. h ow widely the data is dispersed. The standard deviation is the square root of the variance; this will be relevant for our study since there are numerical data involved.Advertising Looking for research paper on education? Let's see if we can help you! Get your first paper with 15% OFF Learn More Pearson Correlation Coefficient is a measure of linear dependence, referred as correlation between two variables of interest that occurs in a continuous format while mean is the average of a set of scores or measures (Silver, 1993); it is calculated by summing the scores and dividing with the number of observations. Study approach weaknesses Quantitative research method is mainly objective in nature and is largely concerned with research of the quantitative aspect of a study; as such it utilizes statistical tools in data collection, entry and analysis. The most widely used methods of data collection in this case are observations, tests, questionnaire, surveys and use o f existing statistical time series (Hoepfl, 1997). Qualitative research method on the other hand interprets, evaluates gathers and uses qualitative data study methods to examine qualitative facts; this method is very subjective when compared to quantitative method and is usually focused on the wider population than quantitative methods (Hoepfl, 1997). Case studies, observations and interviews are commonly used in collection of data in qualitative designed studies (Hoepfl, 1997). So because each method utilizes different tools in research, then each has also unique strengths and weaknesses and a combination of both approaches is the most ideal research design. Thus, by including both these methods in my research study, I have strengthened my research study. Weaknesses in qualitative research The data analyzed through the use of qualitative method lacks external and internal validity (Austvik, 2009). This is because the information generated is subjective in nature and it is paramoun t for the researcher to subjectively interpret the data including through use of their own experiences. Qualitative research method is mainly subjective; as such the research findings are subject to biasness of the researcher. In this type of research, the information generated may be impossible to validate since a large aspect of it is dependent on the experience of the researcher due to the subjective interpretation of the data that is involved. Data analysis in quantitative research is very challenging and time consuming since the data must first be coded before it can be interpreted. This requires skills and much experience to manage unlike the case in quantitative research A qualitative researcher must use natural setting which will be the context from which the data collection must be undertaken as this is essential because subjects of study in qualitative research cannot be investigated independently from their social environment. This is more challenging, costly and time con suming. Qualitative research lacks uniformity and reliability because responded have an option to ignore some concepts and chose others during data collection. Generally, qualitative research only uses small sample size in the research process since it does not largely base its findings on the sample size as compared to the quantitative research which mostly relies on large samples which is essential in this case because of its research design. The implication is that the data obtained is less reliable in the case of qualitative as compared to that of a quantitative research Weaknesses in quantitative research Quantitative research method is limited in analysis of subjective data since its focus is on numerical values/datasets Quantitative research method is limited in investigation of phenomena that requires postulation of hypotheses since the researchers in this case do not go beyond the data analyzed to find solutions to answers such as why, and how for instance In Quantitative research method it is very challenging to ensure generalization of results because of difficulties in ensuring randomization of sample is achieved and also due to lack of reasonable degree of population validity between the population itself and the selected cases. Plus given that the sample size is not a representative of the whole population.Advertising We will write a custom research paper sample on Cell Phone Usage at Al Ittihad Model School Among Male Students specifically for you for only $16.05 $11/page Learn More Finally, like all research studies, quantitative research method is subject to bias. The major types of bias in quantitative research are undercoverage, non-response bias and voluntary response bias. Undercoverage bias occurs when a sample size does not meet the minimum number of cases of the larger population leading to under representation of the population. Non-responsiveness occurs when significant numbers of sample cases that have alre ady been chosen fails to respond by answering the required information. This compromises the quality of the research study and complicates the data analysis process. Finally, voluntary response bias occurs when sample cases are selected based on their voluntary choice. References Austvik, O. (2009). Strengths and weaknesses related to various empirical methods  in interdisciplinary fields like International Political Economy. Web. Hoepfl, M. ( 1997). Choosing Qualitative Research: a Primer for Technology  Education Researchers. Retrieved from https://scholar.lib.vt.edu/ejournals/JTE/v9n1/hoepfl.html Silver, D. (1993). Interpreting Qualitative Data. London: Sage Publications.

How to Optimize Your Content Marketing Strategy [PODCAST]

How to Optimize Your Content Marketing Strategy [PODCAST] Content marketing is an essential to today’s start-up business. It is how you and your company find your voice in a sea of similar and perhaps larger companies. But, what do you do when your online content isn’t getting the attention you need? How do you create the content that is going to get your business results? How can you make content marketing work for you and your business? Len Markidan, the guy in charge of Groove HQ’s marketing department has some basic tips to improve your content. Groove HQ got its start six years ago, but the path to success was rocky.   Len and his team tried numerous types and styles of content for their blog, but nothing was working. So the team did their homework, they looked at companies like Kissmetrics and Unbounce, then they reached out to the companies. Their outreach was a big help. What they learned from the process became invaluable. Groove HQ found an audience with their blog A Startup’s Journey to $100,000 in Monthly Revenue. If you are having trouble with your content marketing, then Len can help you get a better perspective on the situation. Groove HQ’s rough start and how Len and his team found the problems. Why the best story to tell, is your story. The winning framework Len uses to create Groove HQ’s content. How your audience can help you find the right content. The best method to create content with a team. Links: Groove HQ A Startup’s Journey to $100,000 in Monthly Revenue Blog If you liked today’s show, please subscribe on iTunes to The Actionable Content Marketing Podcast! The podcast is also available on SoundCloud,  Stitcher, and Google Play. Quotes by Len: Hire people that you can trust, pick a tool that you trust and just keep everybody on the same page, and then back off. You have to give each blog enough oxygen and attention to succeed, otherwise it’s going to be very obvious in your results which one youre treating as a secondary blog. We had a product, but we didn’t really have a thoughtful or effective marketing strategy at all.