Research Design & Method for Studying Gender Differences in Grade 11 Students' Social Medi, Study notes of English

Download Research Design & Method for Studying Gender Differences in Grade 11 Students' Social Medi and more Study notes English in PDF only on Docsity! CHAPTER 3 RESEARCH DESIGN AND METHODOLOGY Research Design The researchers will be working with quantifiable and measurable data, which would necessitate statistical treatment after further analysis, which is why the current study adopts a quantitative research approach. Moreover, the proposed research used a descriptive design. Descriptive research can be defined as a description of the current condition of circumstances, with the researcher having no control over the variables. Descriptive research can be defined as simply attempting to determine, describe, or identify what is (Ethridge, 2004). In addition, descriptive research also seeks to accurately and methodically characterize a population, circumstance, or phenomenon. It can satisfy "what," "where," "when," and "how" questions, but not why. A descriptive research design can study one or more variables using a range of research methods (Davis, 2021). The researchers plan to distinguish the various approaches of all the genders in social media interaction of CatSU-LS Grade 11 SHS students throughout this study. As a result, the descriptive research design is the more appropriate research design to incorporate in the study because the researchers will only study the phenomena that already exist naturally. Besides, using this method, the study may be inexpensive and quick. Specifically, the researchers will use the survey type of the descriptive research design because a large amount of data about the various approaches in social media interaction of Grade 11 students at CatSU-LS must be gathered in a short amount of time. It is a time-efficient type of descriptive research that involves the people who are central to the research objective. It is also the most efficient and the least expensive type of descriptive research because it can be used to collect data on a wide range of topics and is less costly since it can be undertaken virtually. Sources of data The Internet has attracted the attention of research communities (Comley, 2008; Dwivedi et al., 2008; Zwass, 1996). In particular, the significant role of analyzing social media and networks to advance our understanding of information sharing, communication (Averya et al., 2010; Chiu et al., 2006; Turri et al., 2013), opinion formation, and dissemination has been recognized [Abrahams et al., 2012; Airoldi et al., 2006; Bai, 2011; Jansen et al., 2011; Lane et al., 2012). Nevertheless, rigorous, quantitative studies on social media content, particularly on electronic commerce and information management, remain scarce (Bai, 2011). The most considerable barrier to social media usage is the lack of a versatile methodology for selecting, collecting, processing, and analyzing contextual information obtained from social media sites. However, several software companies have developed proprietary text mining systems for data visualization (Arnold, 2012), and researchers have developed expert systems for sentiment analysis [Abrahams et al., 2012; Lane et al., 2012]. Similar studies have also been undertaken for age and gender prediction in social media. Because gender and age information is more readily available, these studies tend to be larger. ( Argamon et al. )predicted gender and age over 19,320 bloggers, while (Burger et al.) scaled up the gender prediction over 184,000 by using automatically guessed gender based on gender-specific keywords. Most recently, (Bamman et al.)Looked at gender as a function of language and social network statistics. They particularly looked at the characteristics of those whose gender was incorrectly predicted and found greater gender homophily in the social networks of such individuals. In order to gather, analyze, and group descriptive information available in social media into interpretable concepts for various decision support applications such as crowdsourcing, profiling, web mining, social recommendation, and social reputation modeling, a systematic methodology must be established. The suggested methodology's analyzed results should be repeatable and generalizable to enable the gathering, analysis, and longitudinal monitoring of online data over time. The tremendous consequences of alterations in citizens' perspectives, notably "netizens' views," on the components of decision-making can be linked to this phenomenon. In this section, we investigate how gender differences are expressed through personality metrics. Data from responses to personality questionnaires show that although there are considerable variations within a gender, differences between males and females exist in several traits and at every age. Sampling procedure In this study, we used a basic random sample technique to look at the numerous factors that influence student behavior. . A simple random sample is a random subset of a population. In this sampling method, every member of the population has an exact equal chance of being chosen. Instrumentation and Validation The instrument that we will be using in this study is survey. It will allow the researchers to collect large amount of data and opinion from the respondents. The survey contains four parts: the demographic profile of the respondents, then the effect of their gender on their interaction on social media, third, the impact of their gender on how they communicate, and lastly, the different approaches they have on social media.