Research Methodology

An experimental research method can demonstrate a cause and effect relationship between two variables. This method involves manipulating one variable (independent variable) to observe its effect on another variable (dependent variable) while controlling for other factors. Random assignment of participants helps ensure that the observed effects are due to the manipulation of the independent variable.

you doing school through nebraska? haha its a survey brotha :)

Studying research methods is important because it helps in developing critical thinking skills, problem-solving abilities, and enhances the capability to evaluate information. Understanding research methods also enables individuals to conduct rigorous and reliable investigations, which is essential in various fields such as academia, business, and healthcare.

Control groups are more commonly used in quantitative research to compare outcomes with a standard or no treatment group. In qualitative research, control groups are not typically utilized since the focus is on exploring experiences, perspectives, and meanings rather than testing hypotheses with controlled variables. The emphasis is on in-depth understanding rather than statistical generalizability.

Qualitative investigation focuses on understanding the quality or nature of a phenomenon, often exploring beliefs, attitudes, and behaviors in-depth. It involves gathering non-numeric data through techniques like interviews, observations, and content analysis to provide a rich and detailed understanding of the subject.

Anthropology and sociology are the perspectives most likely to use participant observation as a research method. This method involves immersing oneself in the culture or community being studied to gain a deep understanding of their practices, beliefs, and social interactions. Participant observation is particularly valuable for studying behavior and social norms within a specific context.

Participant observation allows researchers to gain in-depth insights into the behavior and experiences of individuals within their natural settings, which can lead to a more comprehensive understanding of complex phenomena. This method enables researchers to observe behavior as it occurs, capturing nuances and context that may be missed with other methods. Additionally, participant observation can help build rapport and trust with participants, leading to more authentic and meaningful data.

Grounded theory research is a systematic approach that allows theories to emerge from the data through a process of constant comparison and theoretical sampling. Unlike other forms of qualitative research, grounded theory does not begin with a preconceived theory or hypothesis. It aims to develop a new theory or framework based on the data collected.

The justification of the research method used is based on its appropriateness for the research question or problem being addressed. The method should be chosen for its ability to provide reliable and valid data, its feasibility given the resources available, and its alignment with the theoretical framework guiding the study. Ultimately, the research method should allow for the generation of meaningful insights and contribute to the overall goals of the research project.

William Foote Whyte used the participant observation research method in his Cornerville study. He immersed himself in the community, lived among the residents, and actively participated in their daily lives to gather data and insights for his research.

Idiographic research methods focus on studying individual cases or situations in depth to gain a deep understanding of complex phenomena. These methods aim to capture the unique characteristics and complexities of a specific case rather than generalizing findings to a larger population. Idiographic research often involves qualitative approaches such as case studies, interviews, or observational methods.

Qualitative measures can include interviews, observations, focus groups, and open-ended survey questions. These methods provide insights into attitudes, behaviors, and experiences that cannot be captured by quantitative data alone.

There is probably no such study.

A correlation or regression analysis works only with linear relationships. Any even function over a symmetric interval will give a correlation coefficient of 0; suggesting no relationship and so no predictive power. That is utter nonsense.

If two variables are independent of one another but are affected by a third variable which is unknown to (or overlooked by) the experimenter then one of the two observed variables may appear to predict the other observed variable but that will fall apart if the unknown variable changes.

For example observed variables: my age and number of cars in the country. Both related to time and fairly good predictive power. But the predictive power will fail if I move to another country.

Participant observation is the research method that involves researchers immersing themselves in the social setting to observe and participate in the activities of the group being studied. This method helps researchers gain a deeper understanding of the culture and behaviors of the group under study.

What is an advantage of the participant observation research method? A. It provides opportunities to see things that may have been missed in a less direct data collection. (Correct Answer)

B. It ensures that there is no bias in the collection of data. C. It creates opportunities to include guess work and the observer's personal perspective in the collection of the data. D. It develops guidelines to prevent miscalculations while analyzing the data that were collected.

Apex Teddi

For numerical date: Calculation of the product moment correlation coefficient (PMCC). Regression analysis goes beyond what is required by the question.

For ordinal data:

The Spearman's Rank coefficient.

Lawrence Kohlberg used longitudinal and cross-sectional research methods in his dissertation to study the development of moral reasoning in individuals over time. He conducted interviews with children of different age groups to collect data for his study.

Conducting a controlled experiment with random assignment to groups is the best research method for determining if cigarette smoking boosts mental alertness. One group would smoke cigarettes, while the other group would not, and their mental alertness would be compared through various tests. However, ethical considerations and health risks associated with smoking hinder this type of research.

A first name is considered categorical data, as it falls into distinct categories and does not have a numerical value.

In quantitative research, studying gender involves collecting numerical data on gender-related variables, analyzing this data using statistical methods, and interpreting the results to draw conclusions about gender differences or relationships. Researchers may use surveys, experiments, or observational studies to examine how gender influences various outcomes or behaviors, and may also control for potential confounding variables to ensure the validity of their findings. Additionally, researchers may incorporate measures of gender identity, expression, and stereotypes into their analyses to provide a more nuanced understanding of gender dynamics.

The sociological research method that involves the collection of data by asking people questions about their behavior or attitudes is called a survey. Surveys are commonly used in sociology to gather quantitative data from a large number of respondents to measure their opinions, beliefs, or behaviors on a particular topic.

The three basic research methods in psychology are experimental research (manipulating variables to determine cause and effect), correlational research (examining the relationship between variables without manipulation), and descriptive research (observing and recording behaviors without manipulating variables).

A randomized controlled trial (RCT) is the most appropriate research method for investigating causal relationships. In an RCT, participants are randomly assigned to different groups, with one group receiving the treatment (independent variable) and the other acting as a control. This design allows researchers to establish causality by comparing the outcomes between the groups.

In qualitative studies, variables are the concepts or factors that are being studied. These variables are often abstract and subjective in nature, such as beliefs, experiences, or feelings. Researchers aim to understand the relationship or connections between these variables through in-depth analysis and interpretation.

A common research method to determine if computer use causes a change in mood would be a longitudinal study. Participants would be observed over an extended period while tracking their computer usage and mood changes to establish causation. This method allows for identifying patterns and trends in mood changes related to computer use.