BASIC CONCEPTS Flashcards
METHODS OF GETTING AT THE TRUTH - What is the use of authority?
Something is considered true because of tradition (has power of someone/something in a position of power) or because some person
of distinction says its true.
ex: white coat
METHODS OF GETTING AT THE TRUTH - What is the use of rationalism?
The use of reasoning alone to arrive at knowledge.
ex: logic, premisses
A blue jay is a bird.
All birds have wings.
Therefore, a blue jay has wings.
METHODS OF GETTING AT THE TRUTH - What is the use of intuition?
Sudden realization or insight that seems to emerge out of nowhere, without conscious reasoning. It’s like a “light bulb moment” where everything clicks into place all at once, offering clarity or an answer. It often seems to occur after conscious reasoning has failed (knowing the answer of a question after giving back the exam).
METHODS OF GETTING AT THE TRUTH - What is the scientific (research process) method of getting at the truth?
This method involves using both reasoning and intuition to arrive at a potential truth, but then critically and objectively assessing the results to determine if they are valid:
1) Observations made, presence of a research question, measurements planned, a logical
strategy for answering the question is selected (method), and data collected
2) Data are analyzed statistically, and decisions are made concerning the answer to the question
METHODS OF GETTING AT THE TRUTH - What does it mean to analyze statistically data?
It allows the numbers to talk instead of “what we tend to believe”.
What does “population” mean in research?
The complete set of individuals, objects, or scores that the researcher is interested in studying. In an actual experiment, the population is the larger group of individuals from which the experimental subjects have been taken.Basically the “big picture” of your sample.
e.g. : let’s say you conduct a study on the average height of women in Canada. Ideally, you would study every single woman in Canada (the population). Since it’s impossible to do so, you will have a sample instead.
What is a sample?
A subset of the population from which the experimental data is collected. ** try to make it as représentatif possible of your population studied **
example: one spaghetti noodle in the whole pot boiling
What is a variable
Anything that is measured or manipulated in a study.
What is the relationship between the independent variable (IV) and the dependant variable (DV)?
Manipulate the IV, and measure the effects of this manipulation on the DV.
e.g. : How does drug X dosage (IV) affect blood pressure (DV)
What is data?
Measurements that are collected. Often referred to as raw/original scores. ** Raw because have yet to be analyzed/interpreted **
What is a statistic?
A number calculated on sample data. It quantifies a characteristic (probability, range, average…) of the sample.
What is a parameter?
A number calculated on population data. It quantifies a characteristic of the population.
**Since it’s usually impractical to collect data from an entire population, we take a statistic from a sample and then generalize it to estimate the corresponding parameter for the population.
From the following example, what would the IV, DV, sample, population, data, statistic, and parameter?
A real estate company is interested in testing whether the mean time that families in Gotham have been living in their current homes is less than families in Metropolis. The real estate company randomly selects 100 families from each city, and figures the average length of residence in current homes.
IV: cities
DV: length of residence in current homes
Sample: 200 families
Population: all the families living in Gotham and Metropolis
Data: length of residence in current home per family
Statistic: Average length of residence in current home for each group because it measures a characteristic of the sample score.
Parameter: none, because no measurement of the population was done
What is descriptive statistics?
Descriptive statistics are used to describe the obtained data. They do not go beyond the observed data. No sample cause no inferring to the population.
What are inferential statistics?
Give an example.
Inferential statistics use the obtained data to infer to populations. Basically, we draw conclusions that go beyond the observed data; we generalize from the sample to the population.
** key word: sample. As soon as you see it, it means we took a sample to represent a population! **
e.g.: What is the average IQ of Concordia students?
Randomly select the students and then generalize observed data.
Asking 1000 Americans who they are gonna vote for, then generalize to predict election results.
Is this an inferential or descriptive statistic? There have been 82 confirmed or suspected suicides among active-duty service personnel this year, compared to 51 for the same period in 2008.
Descriptive.
Is this an inferential or descriptive statistic? Survey results revealed that 26% of thirsty golfers order a sports drink when they finish their round and head for the clubhouse.
Inferential.
What is a continuous independent or dependent variable?
A continuous variable can assume an infinite number of values between any two points (e.g. weight, height, time…). C’est continu!!!
example:
IV = amount of sleep
DV = cognitive performance (by using test scores)
What is a discrete independent or dependent variable?
A discrete variable can assume only a finite number of values between any two points (e.g. number of children). **Usually IVs are discrete
EXAMPLE:
Let’s say you’re studying the impact of parenting style on children’s behavior. In this case, parenting style could be your independent variable (IV), and it could be discrete because you might categorize it into different types, such as:
Authoritarian
Permissive
Authoritative
Neglectful
Here, parenting style is a discrete variable because you can only have specific, distinct categories, and each individual can belong to only one category.
What are the real limits of a continuous variable?
The values that are above and below the recorded value by one-half of the smallest measuring unit of the scale. There is the lower real limit and the upper real limit.
Formula:
real limits =
(recorded value +/-
(smallest measuring unit/2))
Find the real limits of 100,011 (what I measured).
100,0105 (lower) and 100,0115 (upper).
100,011 +/- 0,0005
What is the first thing you should ask yourself when wondering what are the real limits of a continuous variable?
What is the smallest measuring unit of that number measured.
What is a measurement scale?
A measurement scale refers to the way in which variables are quantified or categorized. It defines the type of data you’re working with.
What are the two primary measurement scales?
Qualitative and quantitative.