Onderzoeksmethoden Research Methods

Tag: Concepts

  • Theories Models Concepts

    n the field of media studies, theories, models, concepts, and variables are all important concepts that help researchers understand and analyze various phenomena related to media.

    Theories refer to systematic frameworks that provide explanations for various phenomena in the media industry. These can be broad or specific and help researchers to understand the nature and function of media. For example, the Uses and Gratifications Theory explains how audiences use media to satisfy their needs and desires (Katz, Blumler, & Gurevitch, 1974).

    Models are simplified representations of complex phenomena that allow researchers to make predictions and test hypotheses. For example, the Communication Accommodation Theory proposes a model that explains how individuals adjust their communication styles to accommodate the expectations of others (Giles & Coupland, 1991).

    Concepts are abstract ideas or generalizations that represent important features or characteristics of a particular phenomenon. For example, the concept of agenda-setting describes how media coverage can influence the importance placed on certain issues by the public (McCombs & Shaw, 1972).

    Variables are specific measurable factors that can be manipulated or observed in research. For example, in a study on media effects, the amount of time spent watching television can be a variable of interest. Variables can be independent, dependent, or control variables, depending on their role in the research design.

    In conclusion, theories, models, concepts, and variables are essential concepts for media students to understand and apply in their research. By using these concepts, media students can gain a deeper understanding of media-related phenomena and conduct rigorous and valid research.

    References:

    Giles, H., & Coupland, J. (1991). Language: Contexts and consequences. Open University Press.

    Katz, E., Blumler, J. G., & Gurevitch, M. (1974). Utilization of mass communication by the individual. In J. G. Blumler & E. Katz (Eds.), The uses of mass communications: Current perspectives on gratifications research (pp. 19-32). Sage.

    McCombs, M. E., & Shaw, D. L. (1972). The agenda-setting function of mass media. Public Opinion Quarterly, 36(2), 176-187.

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  • Suspense

    Suspense is a powerful emotional reaction that media students should be familiar with. It is a feeling of uncertainty, anticipation, and tension that builds up as the audience waits for the outcome of an event. According to Gerrig and Zimbardo (2018), “suspense is a cognitive and emotional experience that arises from the audience’s awareness of an impending outcome that is uncertain and potentially significant” (p. 278).

    Suspense is often used in films, television shows, and literature to engage the audience and create a sense of excitement. It can be created through various techniques, such as music, camera angles, and pacing. For example, in Alfred Hitchcock’s film “Psycho,” the famous shower scene is shot in quick, jarring cuts that create a sense of chaos and uncertainty, which heightens the suspense.

    In addition, suspense can be enhanced by the use of foreshadowing. Foreshadowing is a technique that hints at future events, which can increase the audience’s anticipation and sense of unease. For example, in the television series “Breaking Bad,” there are numerous instances of foreshadowing, such as the use of the color green to symbolize death, which creates a sense of dread and anticipation in the audience.

    Suspense is an effective tool for media creators because it keeps the audience engaged and interested in the story. It can also elicit a strong emotional response from the audience, as they become invested in the outcome of the story. As Gerrig and Zimbardo (2018) note, “suspenseful stories tap into deep-seated human needs for arousal, uncertainty, and social connection, and they can provide a powerful emotional experience that leaves a lasting impression on the viewer or reader” (p. 279).

    In conclusion, suspense is an important emotional reaction for media students to understand. It is a feeling of uncertainty, anticipation, and tension that is created through various techniques, such as music, camera angles, pacing, and foreshadowing. Suspense is an effective tool for media creators to engage and emotionally connect with their audiences, and it can leave a lasting impression on the viewer or reader.

    References:

    Gerrig, R., & Zimbardo, P. (2018). Psychology and life (21st ed.). Pearson.

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  • Curiosity

    Curiosity is a complex and powerful emotional reaction that filmmakers often aim to elicit in their audiences. Various techniques and effects can create curiosity in film, engaging viewers in the story and keeping them invested in it. This essay discusses some of the effects that can create curiosity in film.

    One of the most effective ways to create curiosity in film is to use suspense. Suspense involves delaying the resolution of a particular situation, creating a sense of tension and anticipation in the audience. Alfred Hitchcock was a master of this technique, and his films such as “Psycho” and “Vertigo” are filled with moments of suspense that keep viewers on the edge of their seats (Deutelbaum & Poague, 2011). In “Psycho”, the shower scene is filled with suspense as the audience knows that the killer is in the bathroom, but Marion does not. The use of suspense in this scene creates a sense of curiosity in the audience as they wait to see what will happen next.

    Another technique that can create curiosity in film is to use mystery. Mystery involves presenting the audience with a puzzle or a question that needs to be solved. This can be achieved through the use of enigmatic characters, strange events, or unexplained phenomena. David Lynch’s “Mulholland Drive” is an example of a film that uses mystery to create curiosity. The film is filled with cryptic clues and unexplained events that keep viewers guessing as to what is really going on (Gibson, 2016). The use of mystery in this film creates a sense of curiosity in the audience as they try to unravel the secrets of the story.

    Ambiguity is another technique that can create curiosity in film. Ambiguity involves presenting the audience with a situation or a character that is not clearly defined. This can be achieved through the use of unclear motives, conflicting emotions, or contradictory actions. Christopher Nolan’s “Inception” is an example of a film that uses ambiguity to create curiosity. The film is filled with complex and layered characters, each with their own motivations and desires. The use of ambiguity in this film creates a sense of curiosity in the audience as they try to understand the true nature of the story (Nolan, 2010).

    The unexpected is another technique that can create curiosity in film. The unexpected involves presenting the audience with a surprise or a twist that they were not expecting. This can be achieved through the use of unexpected events, unexpected character actions, or unexpected plot twists. M. Night Shyamalan’s “The Sixth Sense” is an example of a film that uses the unexpected to create curiosity. The film has a twist ending that completely changes the audience’s perception of the story, creating a sense of curiosity in the audience as they try to figure out how they missed the clues (Ebert, 1999).

    In addition to these techniques, there are other factors that can create curiosity as an emotional reaction in film. The use of music is one such factor. Music can set the tone for a scene, create a sense of tension or anticipation, and add emotional depth to the story. John Williams’ theme music in “Jaws” creates a sense of dread and anticipation in the audience, building up to the appearance of the shark (Sider, Freeman, & Sider, 2013). The use of music in this film creates a sense of curiosity in the audience as they wait to see what will happen next.

    Visual effects are another factor that can create curiosity in film. Visual effects can be used to create a sense of awe, wonder, or excitement in the audience. In “Avatar”, James Cameron used visual effects to create the stunning world of Pandora, immersing the audience in a world unlike anything they had seen before (Prince, 2013).The 

    use of visual effects in this film creates a sense of curiosity in the audience as they explore this new and unfamiliar world.

    Finally, the use of pacing can also create curiosity in film. Pacing involves the speed and rhythm at which the story is told, and it can be used to create a sense of tension and anticipation in the audience. Steven Spielberg’s “Jurassic Park” is an example of a film that uses pacing to create curiosity. The film starts off slowly, introducing the characters and the setting, but as the story progresses, the pace quickens, building up to the climactic finale (Young, 2000). The use of pacing in this film creates a sense of curiosity in the audience as they wait to see how the story will unfold.

    In conclusion, there are many techniques and effects that can create curiosity as an emotional reaction in film. Suspense, mystery, ambiguity, the unexpected, music, visual effects, and pacing are just some of the ways that filmmakers can engage their audiences and keep them invested in the story. By understanding how these techniques and effects work, filmmakers can create films that are not only entertaining but also emotionally engaging and thought-provoking.

    References:

    Deutelbaum, M. & Poague, L. (2011). A Hitchcock reader. John Wiley & Sons.

    Ebert, R. (1999). The Sixth Sense. Roger Ebert. https://www.rogerebert.com/reviews/the-sixth-sense-1999

    Gibson, S. (2016). Mulholland Drive. Harvard Film Archive. https://harvardfilmarchive.org/calendar/mulholland-drive-2016-04

    Nolan, C. (2010). Inception. Warner Bros. Pictures.

    Prince, S. (2013). Digital visual effects in cinema: The seduction of reality. Rutgers University Press.

    Sider, L., Freeman, D., & Sider, J. (2013). Soundscape and soundtrack. John Wiley & Sons.

    Young, B. (2000). Jurassic Park. Universal Pictures.

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  • Concepts and Variables

    Concepts and variables are two key terms that play a significant role in media studies. While the two terms may appear similar, they serve distinct purposes and meanings. Understanding the differences between concepts and variables is essential for media studies scholars and students. In this blog post, we will explore the distinctions between concepts and variables in the context of media studies. 

    Concepts: 

    Concepts are abstract ideas that help to classify and describe phenomena. They are essential in media studies as they help in creating an understanding of the objects of study. Concepts are used to develop mental models of media objects, to analyze and critique them. For example, concepts such as “representation” and “power” are used to describe and understand how media texts work (Kellner, 2015). 

    Variables: 

    Variables, on the other hand, are used to store data in a program or research. They are crucial in media studies research as they help in collecting and analyzing data. Variables are named containers that hold a specific value, such as numerical or textual data. Variables can be manipulated and changed during the research process. For example, variables such as age, gender, and socio-economic status can be used to collect data and analyze the relationship between media and society (Morgan & Shanahan, 2010). 

    Differences: 

    One of the significant differences between concepts and variables is that concepts are abstract while variables are concrete. Concepts are used to create mental models that help to understand and analyze media objects, while variables are used to collect and analyze data in research. Another difference is that concepts are broader and at a higher level than variables. Concepts are used to describe the overall structure and design of media texts, while variables are used to study specific aspects of media objects. 

    In addition, concepts are often used to group together related variables in media studies research. For example, the concept of “media effects” might be used to group variables such as exposure to media, attitude change, and behavior change. By grouping related variables together, researchers can have a better understanding of the complex relationships between variables and concepts in media studies research. 

    Concepts and Variables are two essential components of media studies research. Concepts help to develop mental models of media objects, while variables are used to collect and analyze data in research. By understanding the differences between these two terms, media studies scholars and students can create more effective and efficient research.

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  • Theories, Models and Concepts

    Theories, Models, and Concepts in Media and Marketing

    In the realm of media and marketing, understanding theories, models, and concepts is crucial for developing effective strategies. These constructs provide a framework for analyzing consumer behavior, crafting strategies, and implementing marketing campaigns. This essay will explore each construct with examples to illustrate their application.

    Theories

    Definition: Theories in marketing and media are systematic explanations of phenomena that predict how certain variables interact. They help marketers understand consumer behavior and the effectiveness of different strategies.

    Example: Maslow’s Hierarchy of Needs

    • Theory: Maslow’s Hierarchy of Needs is a psychological theory that suggests human actions are motivated by a progression of needs, from basic physiological requirements to self-actualization[3].
    • Model: In marketing, this theory is modeled by identifying which level of need a product or service satisfies. For example, a luxury car brand might focus on self-esteem needs by promoting exclusivity and status.
    • Concept: The concept derived from this model is “status marketing,” where products are marketed as symbols of success and achievement to appeal to consumers seeking self-esteem fulfillment.

    Models

    Definition: Models are simplified representations of reality that help marketers visualize complex processes and make predictions. They often serve as tools for strategic planning.

    Example: AIDA Model

    • Theory: The AIDA model is based on the theory that consumers go through four stages before making a purchase: Attention, Interest, Desire, and Action[2].
    • Model: This model guides marketers in structuring their advertising campaigns to first capture attention with striking visuals or headlines, then build interest with engaging content, create desire by highlighting benefits, and finally prompt action with clear calls to action.
    • Concept: The concept here is “customer journey mapping,” where marketers design each stage of interaction to lead the consumer smoothly from awareness to purchase.

    Concepts

    Definition: Concepts are ideas or mental constructs that arise from theories and models. They provide actionable insights or strategies for marketers.

    Example: Content Marketing

    • Theory: Content marketing is grounded in the theory that providing valuable content builds brand awareness and trust among consumers[2].
    • Model: A content marketing model involves creating a mix of informative blogs, engaging videos, and interactive social media posts to attract and retain an audience.
    • Concept: The concept derived from this model is “brand storytelling,” where brands use narratives to connect emotionally with their audience, fostering loyalty and engagement.

    In the realm of media and marketing, understanding theories, models, and concepts is crucial for developing effective strategies. These constructs provide a framework for analyzing consumer behavior, crafting strategies, and implementing marketing campaigns. This essay will explore each construct with examples to illustrate their application.

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  • Introduction into Statistics ( Chapter 2 and 3)

    Howitt and Cramer Chapter 2 and 3
    Variables, concepts, and models form the foundation of scientific research, providing researchers with the tools to investigate complex phenomena and draw meaningful conclusions. This essay will explore these elements and their interrelationships, as well as discuss levels of measurement and the role of statistics in research.

    Concepts and Variables in Research

    Research begins with concepts – abstract ideas or phenomena that researchers aim to study. These concepts are often broad and require further refinement to be measurable in a scientific context[5]. For example, “educational achievement” is a concept that encompasses various aspects of a student’s performance and growth in an academic setting.

    To make these abstract concepts tangible and measurable, researchers operationalize them into variables. Variables are specific, measurable properties or characteristics of the concept under study. In the case of educational achievement, variables might include “performance at school” or “standardized test scores.”

    Types of Variables

    Research typically involves several types of variables:

    1. Independent Variables: These are the factors manipulated or controlled by the researcher to observe their effects on other variables. For instance, in a study on the impact of teaching methods on student performance, the teaching method would be the independent variable.
    2. Dependent Variables: These are the outcomes or effects that researchers aim to measure and understand. In the previous example, student performance would be the dependent variable, as it is expected to change in response to different teaching methods.
    3. Moderating Variables: These variables influence the strength or direction of the relationship between independent and dependent variables. For example, a student’s motivation level might moderate the effect of study time on exam performance.
    4. Mediating Variables: These variables help explain the mechanism through which an independent variable influences a dependent variable. For instance, increased focus might mediate the relationship between coffee consumption and exam performance.
    5. Control Variables: These are factors held constant to ensure they don’t impact the relationships being studied.

    Conceptual Models in Research

    A conceptual model is a visual representation of the relationships between variables in a study. It serves as a roadmap for the research, illustrating the hypothesized connections between independent, dependent, moderating, and mediating variables.

    Conceptual models are particularly useful in testing research or studies examining relationships between variables. They help researchers clarify their hypotheses and guide the design of their studies.

    Levels of Measurement

    When operationalizing concepts into variables, researchers must consider the level of measurement. There are four primary levels of measurement:

    1. Nominal: Categories without inherent order (e.g., gender, ethnicity).
    2. Ordinal: Categories with a meaningful order but no consistent interval between levels (e.g., education level).
    3. Interval: Numeric scales with consistent intervals but no true zero point (e.g., temperature in Celsius).
    4. Ratio: Numeric scales with consistent intervals and a true zero point (e.g., age, weight).

    Understanding the level of measurement is crucial as it determines the types of statistical analyses that can be appropriately applied to the data.

    The Goal and Function of Statistics in Research

    Statistics play a vital role in research, serving several key functions:

    1. Data Summary: Statistics provide methods to condense large datasets into meaningful summaries, allowing researchers to identify patterns and trends.
    2. Hypothesis Testing: Statistical tests enable researchers to determine whether observed effects are likely to be genuine or merely due to chance.
    3. Estimation: Statistics allow researchers to make inferences about populations based on sample data.
    4. Prediction: Statistical models can be used to forecast future outcomes based on current data.
    5. Relationship Exploration: Techniques like correlation and regression analysis help researchers understand the relationships between variables.

    The overarching goal of statistics in research is to provide a rigorous, quantitative framework for drawing conclusions from data. This framework helps ensure that research findings are reliable, reproducible, and generalizable.

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