Pr2

29問 • 2年前

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問題一覧

in research simply refers to a person, place, thing, or phenomenon that you are trying to measure in some way

Variable

are any characteristics that can take on different values, such as height, age, temperature, or test scores.

Variable

2 Basic Types of Variables

Independent and dependent variables

are those that cause changes in the subject. It is the variable that is systematically manipulated by the researcher.

Independent variables

those that bear or manifest the effects caused by the independent variables.

Dependent variables

are those that do not undergo any changes during

Constant variables

In an experiment, to test the effect of SUNLIGHT on plants, other factors that affect plant growth and health, such as soil quality and watering, would need to remain constant

Constant variables

are variables that are not intentionally intended for studying (not included in the study) but affects the results

extraneous variables

You are a researcher, and you tested if sleep deprivation would affect the performance of your student’s exam scores. You instructed your student to sleep only for 2 hours and check the next day his performance. You are expecting the student to fail the test, but this student still got 100% score

Extraneous variables

Affects how the independent variable acts on the dependent variable.

Confounding variables

is anything that could influence the dependent variable

Extraneous variables

influences the dependent variable and correlates with or causally affects the independent variable.

Confounding variables

You are a researcher, and you tested if summer season would affect the ice cream sales in you barangay. You found out that summer did not in anyway affected ice cream sales

Confounding variables

characteristics of people like intelligence, creativity, anxiety, learning styles, etc

Attribute variables

It is a variable that cannot be manipulated

Attribute variables

Examples are gender, race, psychological condition, and or any characteristic that is inherent or pre-programmed and cannot be

Attribute variables

are quantitative or numeric variable obtained by counting. They are measured as whole units. These are countable in a finite amount.

Discrete variables

●For example, you can count the change in your pocket. You can count the money in your bank account, everything —that’s still countable.

Discrete variables

Is a variable which we would (literally) take forever to count. In fact, you would get to “forever” and never finish counting them

Continuous variables

For example, take age. You can’t count “age”. Why not? Because it would literally take forever. For example, you could be: 25 years, 10 months, 2 days, 5 hours, 4 seconds, 4 milliseconds, 8 nanoseconds, 99 picosends…and so on.

Continuous variables

- are those included in the research study to create interactions with the independent and dependent variables

Covariates variables

- are those included in the research study to create interactions with the independent and dependent variables

Covariates variables

has only two possible results; one or zero

Dichotomous variables

Heads or Tails. Male or Female. Rich or Poor. Democrat or Republican. Pass or Fail. Under age 65

Dichotomous variables

Cannot be directly measured or observed like personality traits. The presence of latent variables, however, can be detected by their effects on variables that are observable. Most constructs in research are latent variables.

Latent variables

can be directly measured or observed to give proofs to latent variables.

manifest variables

Those that characterize or describe the quality of data (also known as qualitative variable). ● It is a variable that isn’t numerical. It describes data that fits into categories.

Categorical variables

Eye colors (variables include: blue, green, brown, hazel). 2.States (variables include: Florida, New Jersey, Washington). 3.Dog breeds (variables include: Alaskan Malamute

Categorical variables

also known as qualitative variable

Categorical variables

oral com quiz 2

oral com quiz 2

cnf m5

cnf m5

Perdev

Perdev

oral com #2

oral com #2

oral com

oral com

Piling Larang 3

Piling Larang 3

Piling larang #4

Piling larang #4

Fiction

Fiction

Community engagement

Community engagement

ucsp

ucsp

ucsp

ucsp

Non fiction

Non fiction

CNF

CNF

Hope quiz 1

Hope quiz 1

lesson 1

lesson 1

poetry

poetry

theme

theme

問題一覧

in research simply refers to a person, place, thing, or phenomenon that you are trying to measure in some way

Variable

are any characteristics that can take on different values, such as height, age, temperature, or test scores.

Variable

2 Basic Types of Variables

Independent and dependent variables

are those that cause changes in the subject. It is the variable that is systematically manipulated by the researcher.

Independent variables

those that bear or manifest the effects caused by the independent variables.

Dependent variables

are those that do not undergo any changes during

Constant variables

In an experiment, to test the effect of SUNLIGHT on plants, other factors that affect plant growth and health, such as soil quality and watering, would need to remain constant

Constant variables

are variables that are not intentionally intended for studying (not included in the study) but affects the results

extraneous variables

Extraneous variables

Affects how the independent variable acts on the dependent variable.

Confounding variables

is anything that could influence the dependent variable

Extraneous variables

influences the dependent variable and correlates with or causally affects the independent variable.

Confounding variables

You are a researcher, and you tested if summer season would affect the ice cream sales in you barangay. You found out that summer did not in anyway affected ice cream sales

Confounding variables

characteristics of people like intelligence, creativity, anxiety, learning styles, etc

Attribute variables

It is a variable that cannot be manipulated

Attribute variables

Examples are gender, race, psychological condition, and or any characteristic that is inherent or pre-programmed and cannot be

Attribute variables

are quantitative or numeric variable obtained by counting. They are measured as whole units. These are countable in a finite amount.

Discrete variables

●For example, you can count the change in your pocket. You can count the money in your bank account, everything —that’s still countable.

Discrete variables

Is a variable which we would (literally) take forever to count. In fact, you would get to “forever” and never finish counting them

Continuous variables

- are those included in the research study to create interactions with the independent and dependent variables

Covariates variables

- are those included in the research study to create interactions with the independent and dependent variables

Covariates variables

has only two possible results; one or zero

Dichotomous variables

Heads or Tails. Male or Female. Rich or Poor. Democrat or Republican. Pass or Fail. Under age 65

Dichotomous variables

Latent variables

can be directly measured or observed to give proofs to latent variables.

manifest variables

Those that characterize or describe the quality of data (also known as qualitative variable). ● It is a variable that isn’t numerical. It describes data that fits into categories.

Categorical variables

Eye colors (variables include: blue, green, brown, hazel). 2.States (variables include: Florida, New Jersey, Washington). 3.Dog breeds (variables include: Alaskan Malamute

Categorical variables

also known as qualitative variable

Categorical variables