Quantitative Research

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… Lees meer: What is conjoint analysis?

Loss aversion, a cornerstone of behavioral economics, profoundly impacts consumer decision-making in marketing. It describes the tendency for individuals to feel the pain of a loss more strongly than the pleasure of an equivalent gain (Peng, 2025), (Frank, NaN), (Mrkva, 2019). This psychological principle, far from being… Lees meer: Loss Aversion in Marketing: 

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… Lees meer: Confidence Interval

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… Lees meer: Regression

Levels of measurement are classifications used to describe the nature of data in variables. There are four main levels of measurement: nominal, ordinal, interval, and ratio. Nominal Level The nominal level is the lowest level of measurement. It uses labels or categories to classify data without any… Lees meer: Levels of Measurement (video)

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… Lees meer: Writing a Research Report

Convenience sampling is a non-probability sampling method where participants are selected based on their accessibility and proximity to the researcher. When citing convenience sampling in APA format, in-text citations should include the author’s last name and the year of publication. For example, “Convenience sampling is often used… Lees meer: Convenience Sampling

In statistics, the minimum, maximum, and range are important measures used to describe the spread of data. The minimum is the smallest value in a dataset, while the maximum is the largest value. The range, which is the difference between the maximum and minimum values, provides a… Lees meer: Min, Max and Range

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

Standard deviation is a statistical measure that quantifies the amount of variation or dispersion in a set of values. In simpler terms, it indicates how much individual data points in a dataset deviate from the mean (average) value. A low standard deviation means that the data points… Lees meer: Standard Deviation

The median is a measure of central tendency that represents the middle value in a data set when it is ordered from least to greatest. Unlike the mean, which can be heavily influenced by outliers, the median provides a more robust indicator of the central location of… Lees meer: Median

The mode is a statistical measure that represents the most frequently occurring value in a data set. Unlike the mean or median, which require numerical calculations, the mode can be identified simply by observing which number appears most often. This makes it particularly useful for categorical data… Lees meer: Mode

The mean, often referred to as the average, is a measure of central tendency that is widely used in statistics to summarize a set of data. It is calculated by summing all the values in a dataset and then dividing by the number of values. This measure… Lees meer: Mean

Sampling is a fundamental concept in research methodology, referring to the process of selecting a subset of individuals or observations from a larger population to make inferences about the whole (Creswell & Creswell, 2018). This process is crucial because it allows researchers to conduct studies more efficiently… Lees meer: Sampling

Convenience sampling is a non-probability sampling technique where participants are selected based on their ease of access and availability to the researcher, rather than being representative of the entire population (Scribbr, 2023; Simply Psychology, 2023). This method is often used in preliminary research or when resources are… Lees meer: Convenience Sampling

The Chi-Square test is a statistical method used to determine if there is a significant association between categorical variables or if a categorical variable follows a hypothesized distribution. There are two main types of Chi-Square tests: the Chi-Square Test of Independence and the Chi-Square Goodness of Fit… Lees meer: Chi Square test

Correlation for scale variables is often assessed using the Pearson correlation coefficient, denoted as $$ r $$, which measures the linear relationship between two continuous variables (Statology, n.d.; Scribbr, n.d.). The value of $$ r $$ ranges from -1 to 1, where -1 indicates a perfect negative… Lees meer: Correlation (Scale Variables)

Correlation for ordinal variables is typically assessed using Spearman’s rank correlation coefficient, which is a non-parametric measure suitable for ordinal data that does not assume a normal distribution (Scribbr, n.d.). Unlike Pearson’s correlation, which requires interval or ratio data and assumes linear relationships, Spearman’s correlation can handle… Lees meer: Correlation Ordinal Variables

Introduction In the field of media studies, understanding and reporting statistical significance is crucial for interpreting research findings accurately. Chapter 17 of “Introduction to Statistics in Psychology” by Howitt and Cramer provides valuable insights into the concise reporting of significance levels, a skill essential for media students… Lees meer: Reporting Significance levels (Chapter 17)

Chapter 16 of “Introduction to Statistics in Psychology” by Howitt and Cramer provides a foundational understanding of probability, which is crucial for statistical analysis in media research. For media students, grasping these concepts is essential for interpreting research findings and making informed decisions. This essay will delve… Lees meer: Probability (Chapter 16)

The Chi-Square test, as introduced in Chapter 15 of “Introduction to Statistics in Psychology” by Howitt and Cramer, is a statistical method used to analyze frequency data. This guide will explore its core concepts and practical applications in media research, particularly for first-year media students. Understanding Frequency… Lees meer: Chi Square test (Chapter 15)

Unrelated T-Test: A Media Student’s Guide Chapter 14 of “Introduction to Statistics in Psychology” by Howitt and Cramer (2020) provides an insightful exploration of the unrelated t-test, a statistical tool that is particularly useful for media students analyzing research data. This discussion will delve into the key… Lees meer: Unrelated t-test (Chapter14)

Introduction The related t-test, also known as the paired or dependent samples t-test, is a statistical method extensively discussed in Chapter 13 of “Introduction to Statistics in Psychology” by Howitt and Cramer. This test is particularly relevant for media students as it provides a robust framework for… Lees meer: Related t-test (Chapter13)

Understanding Correlation in Media Research: A Look at Chapter 8 Correlation analysis is a fundamental statistical tool in media research, allowing researchers to explore relationships between variables and draw meaningful insights. Chapter 8 of “Introduction to Statistics in Psychology” by Howitt and Cramer (2020) provides valuable information… Lees meer: Correlation (Chapter 8)

Exploring Relationships Between Multiple Variables: A Guide for Media Students In the dynamic world of media studies, understanding the relationships between multiple variables is crucial for analyzing audience behavior, content effectiveness, and media trends. This essay will explore various methods for visualizing and analyzing these relationships, adapting… Lees meer: Relationships Between more than one variable (Chapter 7)

The standard deviation is a fundamental statistical concept that quantifies the spread of data points around the mean. It provides crucial insights into data variability and is essential for various statistical analyses. Calculation and Interpretation The standard deviation is calculated as the square root of the variance,… Lees meer: Standard Deviation (Chapter 6)

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… Lees meer: Guide SPSS How to: Calculate the Standard Error

Understanding Standard Error for Media Students Standard error is a crucial statistical concept that media students should grasp, especially when interpreting research findings or conducting their own studies. This essay will explain standard error and its relevance to media research, drawing from various sources and adapting the… Lees meer: Standard Error (Chapter 12)

Drawing strong conclusions in social research is a crucial skill for first-year students to master. Matthews and Ross (2010) emphasize that a robust conclusion goes beyond merely summarizing findings, instead addressing the critical “So What?” question by elucidating the broader implications of the research within the social… Lees meer: Drawing Conclusions (Chapter D10)

Research proposals play a crucial role in the social sciences, serving as a roadmap for researchers and a tool for gaining approval or funding. Matthews and Ross (2010) emphasize the importance of research proposals in their textbook “Research Methods: A Practical Guide for the Social Sciences,” highlighting… Lees meer: Research Proposals (Chapter B6)

Research Methods in Social Research: A Comprehensive Guide to Data Collection Part C of “Research Methods: A Practical Guide for the Social Sciences” by Matthews and Ross focuses on the critical aspect of data collection in social research. This section provides a comprehensive overview of various data… Lees meer: Data Collection (Part C)

Research Methods in Social Research: Choosing the Right Approach The choice of research method in social research is a critical decision that shapes the entire study. Matthews and Ross (2010) emphasize the importance of aligning the research method with the research questions and objectives. They discuss various… Lees meer: Research Design (Chapter B3)

The choice of research method in social research is a critical decision that shapes the entire research process. Matthews and Ross (2010) emphasize the importance of aligning research methods with research questions and objectives. This alignment ensures that the chosen methods effectively address the research problem and… Lees meer: Choosing Method(Chapter B4)

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… Lees meer: Guide SPSS How to: Calculate ANOVA

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,… Lees meer: Guide SPSS How to: Calculate the dependent t-test

Step-by-Step Guide Interpreting the Results Tips

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… Lees meer: Guide SPSS How to: Calculate Chi Square

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… Lees meer: Guide SPSS how to: Measures of Central Tendency and Measures of Dispersion

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.… Lees meer: Anova and Manova

Understanding Literature Reviews in Social Research(Theoretical Framework) A literature review is a crucial part of any social research project. It helps you build a strong foundation for your research by examining what others have already discovered about your topic. Let’s explore why it’s important and how to… Lees meer: Reviewing Literature (Chapter B2)

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… Lees meer: Chi Square

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… Lees meer: Correlation Spearman and Pearson

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,… Lees meer: Concepts and Variables

Immersiveness is a key aspect of film that refers to the degree to which viewers feel engaged and absorbed in the cinematic experience (Tamborini, Bowman, Eden, & Grizzard, 2010). Measuring immersiveness in film can be challenging, as it is a subjective experience that can vary across individuals… Lees meer: Immersiveness Measuring with Scales

Cultivation theory is a theoretical framework in the field of media studies that explains how long-term exposure to media can shape people’s perceptions of reality. According to this theory, the more an individual is exposed to media content, the more their perceptions of reality become shaped by… Lees meer: Cultivation Theory

Observation is one of the most commonly used research methods in media studies. It involves collecting data by watching and recording the behavior and interactions of people in specific situations. Observations can take many forms, including participant observation, non-participant observation, and structured observation. Participant observation is when… Lees meer: Observation

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… Lees meer: Validity

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,… Lees meer: Concepts and Variables

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… Lees meer: Type I and Type II errors

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,… Lees meer: Transperancy

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… Lees meer: Tip Sheet Research Paper

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… Lees meer: Sampling Error

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… Lees meer: Replicabilty

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… Lees meer: APA Style

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… Lees meer: Plagiarism

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,… Lees meer: Inductive versus Deductive

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… Lees meer: How to use citations in your research

 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… Lees meer: Examples of Measurement Tools

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… Lees meer: Developing a thesis and supporting arguments

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… Lees meer: First Step

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… Lees meer: Theories, Models and Concepts

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… Lees meer: Result Presentation (Chapter E1-E3)

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… Lees meer: Shapes of Distributions (Chapter 5)

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

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… Lees meer: How to Create a Survey

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… Lees meer: Univariate Analysis: Understanding Measures of Central Tendency and Dispersion

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… Lees meer: Methods of Conducting Quantitative Research

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… Lees meer: Bivariate Analysis: Understanding Correlation, t-test, and Chi Square test

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… Lees meer: Developing a Hypothesis

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… Lees meer: Distributions

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… Lees meer: Example setup 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… Lees meer: Experimental 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?

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… Lees meer: Example Before and After Study

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… Lees meer: Independent t-test

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… Lees meer: Podcast Statistical Significance (Chapter 11)

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… Lees meer: Longitudinal Quantitative Research

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… Lees meer: Cohort Study

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.… Lees meer: Podcast Sampling (Chapter 10)

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… Lees meer: A/B testing

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… Lees meer: Why Use Z-Scores in Statistics