Karen Lahm
Biographic Data
| ID | 10311450 |
|---|---|
| NAME | Karen Lahm |
| GIVEN NAMES | Karen |
| FAMILY NAME | Lahm |
| SIGNATURE | LAHM K |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2017 |
| H-INDEX | 1 |
Descriptive Statistics
Descriptive statistics, also known as univariate statistics, are most often used to describe the distribution of a variable or variables in a sample. A distribution of a variable can be thought of as all of the individual scores or categories of a variable contained in a sample or population. For example, if the variable being measured in a sample of 100 people is age, then the distribution for the age variable would be all of the 100 separate ag…
Validity, Quantitative
The term “validity” can be defined and explained in a plethora of ways. In quantitative research, validity is commonly discussed, for example, when a researcher is developing measures of variables or concepts to put on a survey or use in an experiment. Specifically, validity is synonymous with accuracy in that a valid measure is one that actually or in reality measures the concept or variable that it is supposed to be measuring. For example, say …
Descriptive Statistics
Descriptive statistics, also known as univariate statistics, are most often used to describe the distribution of a variable or variables in a sample. A distribution of a variable can be thought of as all of the individual scores or categories of a variable contained in a sample or population. For example, if the variable being measured in a sample of 100 people is age, then the distribution for the age variable would be all of the 100 separate ag…
Descriptive Statistics
Descriptive statistics, also known as univariate statistics, are most often used to describe the distribution of a variable or variables in a sample. A distribution of a variable can be thought of as all of the individual scores or categories of a variable contained in a sample or population. For example, if the variable being measured in a sample of 100 people is age, then the distribution for the age variable would be all of the 100 separate ag…
Validity, Quantitative
The term “validity” can be defined and explained in a plethora of ways. In quantitative research, validity is commonly discussed, for example, when a researcher is developing measures of variables or concepts to put on a survey or use in an experiment. Specifically, validity is synonymous with accuracy in that a valid measure is one that actually or in reality measures the concept or variable that it is supposed to be measuring. For example, say …
Artificial Intelligence in Healthcare (1 work) · Demography (1 work) · Demography (1 work) · Descriptive statistics (1 work) · Distribution (mathematics (1 work) · Econometrics (1 work) · Mathematics (1 work) · Methodology and Impact of Social Science Research (1 work) · Multivariate statistics (1 work) · Population (1 work)