Quantitative Research – Creative Business Research and Development

A/B testing
In this blog post, we will discuss the basics of A/B testing and provide some examples of how media professionals can use it to improve their content. What is A/B Testing? A/B testing is a method of comparing two variations of a webpage, email, or advertisement to determine which performs better. The variations are randomly… Read more: A/B testing
Anova and Manova
Exploring ANOVA and MANOVA Techniques in Marketing and Media Studies Analysis of Variance (ANOVA) and Multivariate Analysis of Variance (MANOVA) are powerful statistical tools that can provide valuable insights for marketing and media studies. Let’s explore these techniques with relevant examples for college students in these fields. Repeated Measures ANOVA Repeated Measures ANOVA is used… Read more: Anova and Manova
APA Style
APA 7 style is a comprehensive formatting and citation system widely used in academic and professional writing. This essay will cover key aspects of APA 7, including in-text referencing, reference list formatting, and reporting statistical results, tables, and figures. In-Text Referencing In-text citations in APA 7 style provide brief information about the source directly in… Read more: APA Style
Audience Transportation in Film
Audience transportation is a concept in film that describes the extent to which viewers are transported into the narrative world of a movie, creating a sense of immersion and emotional involvement. Studies have shown that audience transportation is achieved through a combination of factors, including setting, character development, sound, music, and plot structure. Setting plays… Read more: Audience Transportation in Film
Bi-Modal Distribution
A bi-modal distribution is a statistical distribution that has two peaks in its frequency distribution curve, indicating that there are two distinct groups or subpopulations within the data set. These peaks can be roughly equal in size, or one peak may be larger than the other. In either case, the bi-modal distribution is a useful… Read more: Bi-Modal Distribution
Bivariate Analysis: Understanding Correlation, t-test, and Chi Square test
Bivariate analysis is a statistical technique used to examine the relationship between two variables. This type of analysis is often used in fields such as psychology, economics, and sociology to study the relationship between two variables and determine if there is a significant relationship between them. Correlation Correlation is a measure of the strength and… Read more: Bivariate Analysis: Understanding Correlation, t-test, and Chi Square test
Brand Attitude Scale
Introduction: Brand attitude refers to the overall evaluation of a brand based on the individual’s beliefs, feelings, and behavioral intentions towards the brand. It is an essential aspect of consumer behavior and marketing, as it influences the purchase decisions of consumers. In this essay, we will explore the concept of brand attitude, its sub-concepts, and… Read more: Brand Attitude Scale
Brand Experience Scale
The Brand Experience Scale, developed by Brakus, Schmitt, and Zarantonello in 2009, is a significant contribution to the field of marketing and brand management. This scale provides a comprehensive framework for measuring and understanding how consumers experience brands across multiple dimensions. Conceptualization of Brand Experience Brand experience is defined as the sensations, feelings, cognitions, and… Read more: Brand Experience Scale
Brand Luxury Scale
The Brand Luxury Index (BLI) is a tool designed to measure consumers’ perceptions of luxury brands[1]. Developed by researchers Jean-Noël Kapferer and Vincent Bastien, the BLI assesses various aspects of a brand’s luxury status through seven sub-categories[1]. Components of the BLI The BLI consists of seven key dimensions: Each dimension is scored on a scale… Read more: Brand Luxury Scale
Brand Parity Scale
Brand parity is a phenomenon where consumers perceive multiple brands in a product category as similar or interchangeable[1]. This concept has significant implications for marketing strategies and consumer behavior. To measure brand parity, researchers have developed scales to quantify consumers’ perceptions of brand similarity. The Brand Parity Scale James A. Muncy developed a multi-item scale… Read more: Brand Parity Scale
Brand Perception Scale
In today’s competitive business environment, building a strong brand has become a top priority for companies across various industries. Brand perception is one of the key components of branding, and it plays a critical role in shaping how consumers perceive a brand. Brand perception is defined as the way in which consumers perceive a brand… Read more: Brand Perception Scale
Brand Personality Scale
Jennifer Aaker’s Brand Personality Scale (BPS) is a widely used tool in marketing research to measure and quantify the personality traits associated with brands. Developed in 1997, the BPS identifies five key dimensions of brand personality: Sincerity, Excitement, Competence, Sophistication, and Ruggedness[1][2]. The Five Dimensions Sincerity This dimension reflects traits such as honesty, wholesomeness, and… Read more: Brand Personality Scale
Check List Survey
Alignment with Research Objectives Question Relevance and Specificity Comprehensiveness Logical Flow and Structure Data Quality and Usability Respondent Engagement Clarity and Comprehension Bias Mitigation Measurement Precision Validity Checks Adaptability and Flexibility Actionability of Results Ethical Considerations
Chi Square
Chi-square is a statistical test widely used in media research to analyze relationships between categorical variables. This essay will explain the concept, its formula, and provide an example, while also discussing significance and significance levels. Understanding Chi-Square Chi-square (χ²) is a non-parametric test that examines whether there is a significant association between two categorical variables.… Read more: Chi Square
Cohort Study
A cohort study is a specific type of longitudinal research design that focuses on a group of individuals who share a common characteristic, often their age or birth year, referred to as a cohort. Researchers track these individuals over time, collecting data at predetermined intervals to observe how their experiences, behaviors, and outcomes evolve. This… Read more: Cohort Study
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… Read more: Concepts and Variables
Concepts and Variables
Concepts and variables are important components of scientific research (Trochim, 2006). Concepts refer to abstract or general ideas that describe or explain phenomena, while variables are measurable attributes or characteristics that can vary across individuals, groups, or situations. Concepts and variables are used to develop research questions, hypotheses, and operational definitions, and to design and… Read more: Concepts and Variables
Confidence Interval
As a teacher, I often find that confidence intervals can be a tricky concept for students to grasp. However, they’re an essential tool in statistics that helps us make sense of data and draw meaningful conclusions. In this blog post, I’ll break down the concept of confidence intervals and explain why they’re so important in… Read more: Confidence Interval
Correlation Spearman and Pearson
Correlation is a fundamental concept in statistics that measures the strength and direction of the relationship between two variables. For first-year media students, understanding correlation is crucial for analyzing data trends and making informed decisions. This essay will explore two common correlation coefficients: Pearson’s r and Spearman’s rho. Pearson’s Correlation Coefficient (r) Pearson’s r is… Read more: Correlation Spearman and Pearson
Cross Sectional Design
how to set up a cross-sectional design in quantitative research in a media-related context: Research Question: What is the relationship between social media use and body image satisfaction among teenage girls?
Data Analysis (Section D)
Ever wondered how researchers make sense of all the information they collect? Section D of Matthews and Ross’ book is your treasure map to the hidden gems in data analysis. Let’s embark on this adventure together! Why Analyze Data? Imagine you’re a detective solving a mystery. You’ve gathered all the clues (that’s your data), but… Read more: Data Analysis (Section D)
Defining the Research Problem: The Foundation of Impactful Media Projects
In the dynamic and ever-evolving world of media, where information flows constantly and attention spans dwindle, a well-defined research problem is paramount for impactful scholarship and creative work. It serves as the bedrock of any successful media project, providing clarity, direction, and ultimately, ensuring the relevance and value of the work. Just as a film director meticulously… Read more: Defining the Research Problem: The Foundation of Impactful Media Projects
Dependent t-test
The dependent t-test, also known as the paired samples t-test, is a statistical method used to compare the means of two related groups, allowing researchers to assess whether significant differences exist under different conditions or over time. This test is particularly relevant in educational and psychological research, where it is often employed to analyze the… Read more: Dependent t-test
Describing Variables Nummericaly (Chapter 4)
Measures of Central Tendency Measures of central tendency are statistical values that aim to describe the center or typical value of a dataset. The three most common measures are mean, median, and mode. Mean The arithmetic mean, often simply called the average, is calculated by summing all values in a dataset and dividing by the… Read more: Describing Variables Nummericaly (Chapter 4)
Developing a Hypothesis
A hypothesis is a statement that predicts the relationship between two or more variables. It is a crucial step in the scientific process, as it sets the direction for further investigation and helps researchers to determine whether their assumptions and predictions are supported by evidence. In this blog post, we will discuss the steps involved… Read more: Developing a Hypothesis
Developing a thesis and supporting arguments
There’s something you should know: Your college instructors have a hidden agenda. You may be alarmed to hear this-yet your achievement of their “other” purpose may very well be the most important part of your education. For every writing assignment has, at the least, these two other purposes: Consequently, all expository writing, in which you… Read more: Developing a thesis and supporting arguments
Digital Presence Scale
The Digital Presence Scale is a measurement tool that assesses the digital presence of a brand or organization. It evaluates a brand’s performance in terms of digital marketing, social media, website design, and other digital channels. Here is the complete Digital Presence Scale for a magazine, including the questionnaire, sub-categories, scoring, and references: Questionnaire: Sub-categories:… Read more: Digital Presence Scale
Distributions
When working with datasets, it is important to understand the central tendency and dispersion of the data. These measures give us a general idea of how the data is distributed and what its typical values are. However, when the data is skewed or has outliers, it can be difficult to determine the central tendency and… Read more: Distributions
Emotional Attachment Scales
Several scales measure emotional attachment: These scales provide various approaches to measuring emotional attachment in different contexts, from general relationships to specific brand attachments.
Engagement Scale
The Engagement Scale for a Free-Time Magazine is based on the concept of audience engagement, which is defined as the level of involvement and interaction between the audience and a media product (Kim, Lee, & Hwang, 2017). Audience engagement is important because it can lead to increased loyalty, satisfaction, and revenue for media organizations (Bakker,… Read more: Engagement Scale
Example Before and After Study
Research question: Does watching a 10-minute news clip on current events increase media literacy among undergraduate students? Sample: Undergraduate students who are enrolled in media studies courses at a university Before measurement: Administer a pre-test to assess students’ media literacy before watching the news clip. This could include questions about the credibility of sources, understanding… Read more: Example Before and After Study
Example setup Experimental Design
Experimental design is a crucial aspect of media studies research, as it allows researchers to test hypotheses about media effects and gain insights into the ways that media affects individuals and society. In this blog post, we will delve into the basics of experimental design in media studies and provide examples of its application. Step… Read more: Example setup Experimental Design
Examples of Measurement Tools
In media studies, it is important to choose the appropriate measurement tools to gather data on attitudes, perceptions, brain activity, and arousal. Here are some potential measurement tools that can be used to gather data in each of these areas: In conclusion, there are a variety of potential measurement tools that can be used in… Read more: Examples of Measurement Tools
Experimental Design
Experiments are a fundamental part of the scientific method, allowing researchers to systematically investigate phenomena and test hypotheses. Setting up an experiment is a crucial step in the process of conducting research, and it requires careful planning and attention to detail. In this essay, we will outline the key steps involved in setting up an… Read more: Experimental Design
First Step
As a student, you may be required to conduct research for a project, paper, or presentation. Research is a vital skill that can help you understand a topic more deeply, develop critical thinking skills, and support your arguments with evidence. Here are some basics of research that every student should know. What is research? Research… Read more: First Step
Guide SPSS How to: Calculate ANOVA
Here’s a step-by-step guide for 1st year students on how to calculate ANOVA in SPSS: Step 1: Prepare Your Data Step 2: Run the ANOVA Step 3: Additional Options Step 4: Post Hoc Tests Step 5: Run the Analysis Click “OK” in the main One-Way ANOVA dialog box to run the analysis Step 6: Interpret… Read more: Guide SPSS How to: Calculate ANOVA
Guide SPSS How to: Calculate Chi Square
Interpreting the Results Main Weakness of Chi-square Test The main weakness of the Chi-square test is its sensitivity to sample size[3]. Specifically: To address this weakness, always check the “Expected Count” in your output to ensure the assumption is met. If not, consider combining categories or using alternative tests for small samples, such as Fisher’s… Read more: Guide SPSS How to: Calculate Chi Square
Guide SPSS How to: Calculate the dependent t-test
Here’s a guide for 1st year students on how to calculate the dependent t-test in SPSS: Step-by-Step Guide for Dependent t-test in SPSS 1. Prepare Your Data 2. Open SPSS and Enter Data 3. Run the Test 4. Interpret the Results 5. Report the Results Tips: Remember, practice with sample datasets will help you become… Read more: Guide SPSS How to: Calculate the dependent t-test
Guide SPSS How to: Calculate the independent t-test
Step-by-Step Guide Interpreting the Results Tips
Guide SPSS How to: Calculate the Standard Error
Here’s a guide on how to calculate the standard error in SPSS: Method 1: Using Descriptive Statistics Method 2: Using Frequencies Method 3: Using Compare Means Tips: Remember, the standard error is an estimate of how much the sample mean is likely to differ from the true population mean[6]. It’s a useful measure for assessing… Read more: Guide SPSS How to: Calculate the Standard Error
Guide SPSS How to: Correlation
Calculating Correlation in SPSS Step 1: Prepare Your Data Step 2: Access the Correlation Analysis Tool Step 3: Select Variables Step 4: Choose Correlation Coefficient Step 5: Additional Options Step 6: Run the Analysis Interpreting the Results Correlation Coefficient Statistical Significance Sample Size Remember, correlation does not imply causation. Always interpret your results in the… Read more: Guide SPSS How to: Correlation
Guide SPSS how to: Measures of Central Tendency and Measures of Dispersion
Here’s a guide for 1st year students to calculate measures of central tendency and dispersion in SPSS: Calculating Measures of Central Tendency Calculating Measures of Dispersion Interpreting the Results Choosing the Appropriate Measure Remember, if your distribution is skewed, the median may be more appropriate than the mean for interval/ratio data.
How to Create a Survey
What is a great survey? A great online survey provides you with clear, reliable, actionable insight to inform your decision-making. Great surveys have higher response rates, higher quality data and are easy to fill out. Follow these 10 tips to create great surveys, improve the response rate of your survey, and improve the quality of the data… Read more: How to Create a Survey
How to Measure Loss Aversion
To measure loss aversion among consumers in marketing, you can use the following approaches: 1. **Behavioral Experiments**: Design experiments where participants choose between options framed as potential losses or gains. For example, test whether consumers are more likely to act when told they could “lose $10” versus “gain $10” for the same decision[2][6]. 2. **A/B… Read more: How to Measure Loss Aversion
How to use citations in your research
According to Jenkins (2006), “convergence culture represents a shift in the relations between media and culture, as consumers take control of the flow of media” (p. 2). In her book The Presentation of Self in Everyday Life, Goffman (1959) discusses the ways in which individuals present themselves to others in social interactions. As Jenkins (2006)… Read more: How to use citations in your research
Independent t-test
The independent t-test, also known as the two-sample t-test or unpaired t-test, is a fundamental statistical method used to assess whether the means of two unrelated groups are significantly different from one another. This inferential test is particularly valuable in various fields, including psychology, medicine, and social sciences, as it allows researchers to draw conclusions… Read more: Independent t-test
Inductive versus Deductive
As a media student, you are likely to come across two primary research methods: inductive and deductive research. Both approaches are important in the field of media research and have their own unique advantages and disadvantages. In this essay, we will explore these two methods of research, along with some examples to help you understand… Read more: Inductive versus Deductive
Introduction into Statistics ( Chapter 2 and 3)
Howitt and Cramer Chapter 2 and 3Variables, 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… Read more: Introduction into Statistics ( Chapter 2 and 3)
Longitudinal Quantitative Research
Observing Change Over Time Longitudinal research is a powerful research design that involves repeatedly collecting data from the same individuals or groups over a period of time, allowing researchers to observe how phenomena change and develop. Unlike cross-sectional studies, which capture a snapshot of a population at a single point in time, longitudinal research captures… Read more: Longitudinal Quantitative Research
Methods of Conducting Quantitative Research
Quantitative research is a type of research that uses numerical data and statistical analysis to understand and explain phenomena. It is a systematic and objective method of collecting, analyzing, and interpreting data to answer research questions and test hypotheses. The following are some of the commonly used methods for conducting quantitative research: It is important… Read more: Methods of Conducting Quantitative Research
Mindful Attention Awareness Scale (MAAS)
Mindfulness has become an increasingly popular concept in recent years, as people strive to find ways to reduce stress, increase focus, and improve their overall wellbeing. One of the most widely used tools for measuring mindfulness is the Mindful Attention Awareness Scale (MAAS), developed by J. Brown and R. Ryan in 2003. In this blog… Read more: Mindful Attention Awareness Scale (MAAS)
Overview Formulas Statistics
Mean Median Range Variance Standard Deviation Correlation Pearson’s r Correlation Spearman’s rho t-test (Independent and Dependent) Chi-Square Test These statistical tools are fundamental for analyzing data sets, allowing researchers to summarize data, assess relationships, and test hypotheses. Citations:[1] https://www.geeksforgeeks.org/mathematics-mean-variance-and-standard-deviation/[2] https://www.sciencing.com/median-mode-range-standard-deviation-4599485/[3] https://www.csueastbay.edu/scaa/files/docs/student-handouts/marija-stanojcic-mean-median-mode-variance-standard-deviation.pdf[4] https://www.youtube.com/watch?v=179ce7ZzFA8[5] https://www.youtube.com/watch?v=mk8tOD0t8M0[6] https://eng.libretexts.org/Bookshelves/Industrial_and_Systems_Engineering/Chemical_Process_Dynamics_and_Controls_(Woolf)/13:_Statistics_and_Probability_Background/13.01:_Basic_statistics-_mean_median_average_standard_deviation_z-scores_and_p-value[7] https://www.ituc-africa.org/IMG/pdf/ITUC-Af_P4_Wks_Nbo_April_2010_Doc_8.pdf[8] https://www.calculator.net/mean-median-mode-range-calculator.html
Plagiarism
Even though most student plagiarism is probably unintentional, it is in students’ best interests to become aware that failing to give credit where it is due can have serious consequences. For example, at Butte College, a student caught in even one act of academic dishonesty may face one or more of the following actions by… Read more: Plagiarism
Podcast Sampling (Chapter 10)
An Overview of Sampling Chapter 10 of the textbook, “Introduction to Statistics in Psychology,” focuses on the key concepts of samples and populations and their role in inferential statistics, which allows researchers to generalize findings from a smaller subset of data to the entire population of interest. Random Samples and Their Characteristics The chapter emphasizes… Read more: Podcast Sampling (Chapter 10)
Podcast Statistical Significance (Chapter 11)
Statistical significance is a fundamental concept that first-year university students must grasp to effectively interpret and conduct research across various disciplines. Understanding this concept is crucial for developing critical thinking skills and evaluating the validity of scientific claims. At its core, statistical significance refers to the likelihood that an observed effect or relationship in a… Read more: Podcast Statistical Significance (Chapter 11)
Regression
Statistical regression is a powerful analytical tool widely used in the media industry to understand relationships between variables and make predictions. This essay will explore the concept of regression analysis and its applications in media, providing relevant examples from the industry. Understanding Regression Analysis Regression analysis is a statistical method used to estimate relationships between… Read more: Regression
Reliability
Reliability is an essential aspect of research, especially in the field of media studies. It refers to the consistency and dependability of research findings, which should be replicable over time and across different contexts. In other words, a reliable study should yield the same results when conducted by different researchers or at different times. Achieving… Read more: Reliability
Replicabilty
Replicability is a key aspect of scientific research that ensures the validity and reliability of results. In media studies, replicability is particularly important because of the subjective nature of many of the topics studied. This essay will discuss the importance of replicability in research for media students and provide examples of studies that have successfully… Read more: Replicabilty
Result Presentation (Chapter E1-E3)
Chapter E1-E3 Matthews and Ross Presenting research results effectively is crucial for communicating findings, influencing decision-making, and advancing knowledge across various domains. The approach to presenting these results can vary significantly depending on the setting, audience, and purpose. This essay will explore the nuances of presenting research results in different contexts, including presentations, articles, dissertations,… Read more: Result Presentation (Chapter E1-E3)
Sampling Error
Sampling error is a statistical concept that occurs when a sample of a population is used to make inferences about the entire population, but the sample doesn’t accurately represent the population. This can happen due to a variety of reasons, such as the sample size being too small or the sampling method being biased. In… Read more: Sampling Error
Scales that can be adapted to measure the quality of a Magazine
Quality assessment scales that could potentially be adapted for magazine evaluation: CGC Grading Scale The Certified Guaranty Company (CGC) uses a 10-point grading scale to evaluate collectibles, including magazines[1]. This scale includes: The Restoration Grading Scale assesses both quality and quantity of restoration work[1]. Literature Quality Assessment Tools While not specific to magazines, these tools… Read more: Scales that can be adapted to measure the quality of a Magazine
Shapes of Distributions (Chapter 5)
Probability distributions are fundamental concepts in statistics that describe how data is spread out or distributed. Understanding these distributions is crucial for students in fields ranging from social sciences to engineering. This essay will explore several key types of distributions and their characteristics. Normal Distribution The normal distribution, also known as the Gaussian distribution, is… Read more: Shapes of Distributions (Chapter 5)
Suggestions for Research Areas in Media Research
Radio Podcasts Television Streaming Platforms Social Media Printed Media News Digital Marketing Citations:[1] https://jmseleyon.com/index.php/jms/article/download/687/661[2] https://www.ofcom.org.uk/media-use-and-attitudes/media-habits-adults/top-trends-from-latest-media-nations-research/[3] https://audacyinc.com/insights/new-research-confirms-audio-outperforms-tv-and-digital/[4] https://www.attnseek.com/p/researching-broadcast-media-beyond[5] https://www.pewresearch.org/topic/news-habits-media/news-media-trends/news-platforms-sources/audio-radio-podcasts/[6] https://www.pewresearch.org/journalism/fact-sheet/news-platform-fact-sheet/[7] https://www.dreamcast.in/blog/difference-between-broadcasting-and-social-media/[8] https://journals.sagepub.com/doi/10.1177/17816858231204738
The Emotional Attachment Scale
The Emotional Attachment Scale (EAS) is a tool used in media and marketing research to measure emotional attachment and brand loyalty. The scale was developed by Thomson, MacInnis, and Park (2005) and has been widely used in various fields, including advertising, consumer behavior, and psychology. The EAS consists of three sub-scales: affection, connection, and passion.… Read more: The Emotional Attachment Scale
The Power of Ambiguity: Exploring Empathy in Films with Ambiguous Protagonists”
Empathy is the ability to understand and share the feelings of others. In the context of film, empathy plays a crucial role in engaging the audience with the characters and the story. Ambiguous protagonists are characters that are difficult to classify as wholly good or bad, and their actions are open to interpretation. The portrayal… Read more: The Power of Ambiguity: Exploring Empathy in Films with Ambiguous Protagonists”
Tip Sheet Research Paper
You may read this TIP Sheet from start to finish before you begin your paper, or skip to the steps that are causing you the most grief. 1. Choosing a topic: Interest, information, and focusYour job will be more pleasant, and you will be more apt to retain information if you choose a topic that… Read more: Tip Sheet Research Paper
Transperancy
Transparency in research is a vital aspect of ensuring the validity and credibility of the findings. A transparent research process means that the research methods, data, and results are openly available to the public and can be easily replicated and verified by other researchers. In this section, we will elaborate on the different aspects that… Read more: Transperancy
Type I and Type II errors
Type I and Type II errors are two statistical concepts that are highly relevant to the media industry. These errors refer to the mistakes that can be made when interpreting data, which can have significant consequences for media reporting and analysis. Type I error, also known as a false positive, occurs when a researcher or… Read more: Type I and Type II errors
Univariate Analysis: Understanding Measures of Central Tendency and Dispersion
Univariate analysis is a statistical method that focuses on analyzing one variable at a time. In this type of analysis, we try to understand the characteristics of a single variable by using various statistical techniques. The main objective of univariate analysis is to get a comprehensive understanding of a single variable, its distribution, and its… Read more: Univariate Analysis: Understanding Measures of Central Tendency and Dispersion
Validity
Validity is a fundamental concept in research, particularly in media studies, which involves analyzing various forms of media, such as film, television, print, and digital media. In media studies, validity refers to the extent to which a research method, data collection tool, or research finding accurately measures what it claims to measure or represents. In… Read more: Validity
What does ANOVA in Social Media Marketing?
This educational webpage introduces media students to the fundamentals of ANOVA and the t-test, two essential statistical tools for analyzing data in social media marketing. It explains how ANOVA helps compare the effectiveness of different platforms, content types, or influencer strategies
What has Linear Regression ever done for you?
Understanding Linear Regression in Media Studies This webpage offers a clear and practical introduction to linear regression tailored for students in media studies. It explains core concepts like the regression equation, slope, and intercept, and connects them directly to real-world media scenarios—such as predicting viewer engagement based on video length. The resource includes: Step-by-step guidance for performing regression analysis A media-relevant case study Visual aids demonstrating the effects of outliers, slope changes, and the null hypothesis External tools and resources for hands-on learning Whether you’re analyzing social media trends, video performance, or campaign impact, this page equips you with the foundational knowledge to apply statistical thinking in your research.
What is conjoint analysis?
Sawtooth Software, 2021 Introduction to conjoint analysis Conjoint analysis is the premier approach for optimizing product features and pricing. It mimics the trade-offs people make in the real world when making choices. In conjoint analysis surveys you offer your respondents multiple alternatives with differing features and ask which they would choose. With the resulting data,… Read more: What is conjoint analysis?
Why Use Z-Scores in Statistics
If you’re a student, researcher, or professional working in the field of statistics, you’ve likely heard of Z-scores. But why use Z-scores in your data analysis? In this blog post, we’ll explain why Z-scores can be so beneficial to your data analysis and provide examples of how to use them in your quantitative research. By… Read more: Why Use Z-Scores in Statistics
Writing a Research Report
A research report is a structured document that presents the findings of a study or investigation. It typically consists of several key parts, each serving a specific purpose in communicating the research process and results. The report begins with a title page, which includes the title of the research, author’s name, and institutional affiliation. Following… Read more: Writing a Research Report