This is an independent measures design, aiming to determine the preferred partner height between two groups of participants: male and female. The independent variables were the gender of the participants and their respective heights. The dependent variable was the preferred partner height, acceptable height range for a partner as well as satisfaction with partner height and partner height differences. The study involved the participants voluntarily being recruited to answer a short survey and provide basic socio-demographic information.
This research study should be classified as a quasi-experiment, as the independent variable (height and gender) is not manipulated by the researcher but occurs naturally. A true experimental design would have one single group, with a common measured outcome and participants randomly assigned. In this way, individual background variables such as gender do not that satisfy the requirements to be a true experiment since sex cannot purposefully be manipulated in this way. Furthermore, the participants were not randomly picked from the general population; instead all participants were instead first year psychology students from a large European university who participated in exchange for course credit.
A selection threat to validity has already been dealt with in this study only including heterosexual individuals. The reasoning behind this may be because homosexual participants would address the survey in respect to their own sexual orientation preferences; hence the answers provided by this group could vary or be more inconsistent as compared to the rest of the studied sample group, no studies having been done on homosexual height preferences as compared to their own. Therefore they have been excluded. Practically it would only involve asking their sexual orientation and not including their answers in the final results, whilst still allowing them to get course credit. These participants would have to be informed of the purpose of this study and be allowed to withdraw from investigation since their survey answers would not be included. Ethically, patients with same sex preferences may not wish to have their relationship preference or status known; hence confidentiality remains a small but prominent potential problem.
Furthermore, the self-report of the participant’s height is potential testing limitation, though in this paper referenced that self-assessment of height is relatively reliable. In most cases an overestimation of the participant’s height was expected. In a similar fashion, the accuracy of assessing heights of partners was found to be inaccurate, most often reporting a rounded number ending in either 0 or 5.
The perceived goal of children, or their parents, in Bailey’s article is to be of normal height at adulthood; but what is normal? The average height for American men is 5’9” and for women it is 5’4” (Bailey). According to Robert W. Steele, M.D., “alterations [in growth] may be in the form of a growth slow down, accelerated growth, or disproportionate grow...
The study is usually described as an experiment with the independent variable being, the condition the participants are ...
2.) We began our study by interviewing a classmate, then interviewing another PLHS student for homework and recording our data. We then proceeded to fill out a Google form, which aided us in planting the anonymous data in a data table and combining it. Following that, we sorted and graphed the data by gender and ethnicity to see how different groups responded to each inquiry. Upon doing th...
The two main factors of this experiment are flattery and compliance. The independent factor being flattery and the dependent factor being compliance. Since flattery is the independent factor, it is manipulated in order to elicit a change in compliance. In this experiment we will assign two levels of change to the independent factor; flattery and no flattery. The participants of the experiment will be first year university students. There will be 100 participants in total, 50 males and 50 females. Each participant is randomly assigned to either the experimental condition (flattery) or the control condition (no flattery). Factors such as the experimenter and the room in which the experiments are conducted will be kept constant as well. In order to eliminate other causal factors, the experimental environment would be kept constant for each participant. The lighting, temperature, and overall look of the room would be kept identical. The time in which the experiment is conducted will also remain constant. The time is designated at 10 in the morning, during days in which the participants do not have class. The participant would be led into the room by an experimenter. The experimenter would ask the participants in a neutral manner. With the same tone and facial expression, the experimenter would present the participant with a short personality-based survey. The survey involves questions such as age, workplace, and GPA. They are also asked to rate attributes about themselves, such as attractiveness, helpfulness, and intelligence. After the participant answers the question, the experimenter briefly excuses himself and leaves to read their personality profile. To operationalize the variable, the experimental group will be complemented before the experimenter asks them to proceed with an a computer experiment that will take an additional hour. The compliment that will be
A genetic study that has concerned many people is the search for the ‘gay gene’. The finding of this gene began in the 90’s and is still in question to whether the gene exists and if it truly influences sexual orientation. Several studies have been completed that look into sexual orientation through behavioral and molecular genetics. Most of these studies, however, have failed to be replicated and they bring about ethical issues.
The aim of the experiment was to support the assumption that the participant who had a higher (overweig...
The design of a study defines the study type (descriptive, correlational, semi-experimental, experimental, review, meta-analytic) and sub-type (e.g., descriptive-longitudinal case study), research problem, hypotheses, independent (IVs) and dependent variables (DVs), experimental design, and, if applicable, data collection methods and a statistical analysis plan. Research design is the framework that has been created to find answers to research
Experimental designs are viewed as the most accurate, and most demanding of research designs, requiring strict attention to rules and procedures. Researchers use these research designs to manipulate and control testing procedures as a way to understand a cause and effect relationship. Commonly, independent variables are manipulated to judge or decide their effect on a dependent variable (Trochim & Donnelly, 2008).
A sample was taken of college students in a Personal Health Lab. The students were given one minute to complete as many sit-ups and push-ups they could and then record their results. The males and females reported their results to the classroom instructor, and an average for each of the tasks, was calculated.
This study was executed in a good manner but I believe that if they would have increased their selection group (not just a particular group of students) and also balanced out the group sexually them more accurate results.
Many factors can influence the results of testing this hypothesis. All variables have been controlled except for the variable gender. Both the male and female subjects are close in age (< two years difference), both are nonsmokers, both possess small body builds for their respective gender, and both have no debilitating medical conditions (e.g., asthma, diabetes, heart condition). Controlling these factors allowed for the testing of the hypothesis, which is focused strictly on gender.
Gender equality is an increasingly interesting and controversial subject in society today. If all male and female students at Ripon College have a statistically significant difference between the average amount of times they spend studying per week, then what conclusions can be drawn from there? Our group is interested is studying whether or not these biological sex shows differences in the amount of time spent studying per week.
In order to test this hypothesis 60 students will be randomly recruited. In order to get my 60 participants, I will pick students who id begins with the numbers 08. A total of 30 females and 30 males will be chosen, all psychology undergraduate students from Texas A&M International University, largely in the age range 20-25 years. No payment, other than receive 5 points of extra credit, will be offered for participation.
The part that I conducted on the test involved the following related questions that lead the whole experiment, How old are you?, Gender?,
The limitations that my topic has is that I cannot ask students to disclose their sexual habits however I can overcome this by using their general attitude toward the subject. Some may not properly understand the ‘sexuality’ I am talking about however I will make sure I am available to answer any questions and I will explain the questions fully and simply. The target market has also been limited to 16 – 18 year olds to avoid asking the younger children who do not understand the concept I am researching and to make my data collecting