Scope and Methods Final Flashcards

1
Q

cohort

A

a group of people who all experience a significant event in roughly the same time frame

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2
Q

randomized experimental designs

A

posttest design, repeated-measurement design, multiple- group design

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3
Q

non-randomized experiment designs

A

quasi- experimental design

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4
Q

cross-sectional design

A

a research design in which measurements of independent and dependent variables are taken at the same time

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5
Q

field experiments

A

experimental designs applied in a natural setting

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6
Q

intervention analysis

A

a non-experimental time series design in which measurements of a dependent variable are taken both before and after the introduction of an independent variable

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7
Q

multiple group design

A

experimental design with more than one control and experimental group

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8
Q

natural experiment

A

a study in which there is random assignment or as if random assignment of units to experimental and control groups but the researcher does not control the randomization process or the manipulation of the treatment factor

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9
Q

observational study

A

a non-experimental research design in which the researcher simply observes differences in the dependent variable for naturally acquiring treatment control groups

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10
Q

period effect

A

an indicator or measure of history effect on a dependent variable during a specified time

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11
Q

posttest design

A

a research design in whihc the dependent variable is measured after, but not before, manipulation of the independent variable

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12
Q

quasi experimental design

A

a research design that includes treatment and control gorups to which individuals are no assigned randomly

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13
Q

repeated measurement design

A

a plan that calls for making more than one measure or observation on a dependent variable at different times over the course of the study

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14
Q

time series design

A

a research design (sometimes called a longitudinal design) featuring multiple measurements of the dependent variable before and after experimental treatment

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15
Q

trend analysis

A

a research design that measures a dependent variable a different times and attempts to determine whether the level of the bariable is changing and if it why

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16
Q

branching question

A

a question that sorts respondents into subgroups and directs these subgroups to different parts of the questionnaire

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17
Q

closed ended question

A

a question with response alternative provided

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18
Q

content analysis

A

a systematic procedure by which records are transformed into quantitative data

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19
Q

double barreled question

A

a question that really two questions in one

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20
Q

filter question

A

a question used to screen respondents so that subsequent questions will be asked only of certain respondents for whom the questions are appropriate

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21
Q

leading question

A

a question that encourages the respondent to choose a particular response

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22
Q

open ended question

A

a question with no response alternative provided for the respondent

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23
Q

question order effect

A

the effect on responses of question placement within a questionnaire

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24
Q

questionnaire design

A

the physical layout and packaging of a questionnaire

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25
Q

response rate

A

the proportion of respondents selected for participation in a survey who actually participate

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26
Q

response set

A

the pattern of responding to a series of questions in a similar fashion without careful reading of each question

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27
Q

sample population congruence

A

the degree to which sample subjects represent the population from which they are drawn

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28
Q

single sided question

A

A question in which the respondent is asked to agree or disagree with a single substantive statement

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29
Q

two sided question

A

a question with two substantive alternatives provided for the respondent

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30
Q

central tendency

A

the most frequent, middle, or central value in a frequency distribution

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31
Q

cummulative percentage

A

the total percentage of observations at or below a value in a frequency distribution

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32
Q

data matrix

A

an array of rows and columns that stores the values of a set of variables for all the cases in a data set

33
Q

descriptive statistic

A

a number that because of its definition and formula, describes certain characteristics or properties of a batch of numbers

34
Q

dispersion

A

the distribution of data values around the most frequent, middle, or central value

35
Q

frequency distribution

A

the number of observations per value or category of a variable

36
Q

interquartile range (IQR)

A

the difference between the third and first quartiles

37
Q

negatively skewed

A

a distribution of values in which fewer observations lie to the left of the middle value and those observations are fairly distant from the mean

38
Q

normal distribution

A

a distribution defined by a mathematical formula and the graph of which has a symmetrical bell shape

39
Q

outlier

A

a value that is far greater or smaller than other values in a recorded variable

40
Q

positively skewed

A

a distribution of values in which fewer observations lie to the right of the middle value and those observations are fairly distant from the mean

41
Q

relative frequencies

A

percentages or proportions of total numbers of observation in a frequency distribution that have a particular value

42
Q

resistant measure

A

a measure of central tendency that is not sensitive to one or a few extreme values in a distribution

43
Q

standard deviation

A

a measure of dispersion of data points about the mean for interval and ration level data

44
Q

variance

A

a measure of dispersion data points about the mean for interval and ration level data

45
Q

alternative hypothesis

A

a statement about the value or values of a population parameter.

46
Q

confidence interval

A

the range of values into which a population parameter is likely to fall for a given level of confidence

47
Q

confidence level

A

the degree of belief or probability that an estimated range of values includes or covers the population parameter

48
Q

null hypothesis

A

a statement that a population parameter equals a single or specific value. Difference between two populations is zero

49
Q

research hypothesis

A

a statement about the value or values of a population parameter.

50
Q

statistical hypotheses

A

two types of hypotheses essential to hypothesis testing: null hypotheses and research or alternative hypotheses

51
Q

statistical significane

A

the probability of making a type 1 error

52
Q

test of statistcal significance

A

a convention for testing hypotheses that focuses on the probability of making a type 1 error

53
Q

type 1 error

A

error made by rejecting a null hypothesis when it is true

54
Q

type 2 error

A

error made by failing to reject the null hypothesis when it is not true

55
Q

z score

A

the number of standard deviations by which a score deviates from the mean score

56
Q

Analysis of variance (ANOVA)

A

a technique for measuring the relationship between one nominal or ordinal level variable and one interval or ratio level variable

57
Q

chi square (x^2) statistic

A

a statistic used to test whether a relationship is statistically significant in a cross tabulation table

58
Q

control by grouping

A

a form of statistical control in which observations identical or similar to the control variable are grouped together

59
Q

correlation coefficient

A

in regression analysis, a measurement of the strength and direction of the linear correlation between two quantitative variables also called product moment correlation pearsons r or r

60
Q

cross tabulation or contingency table

A

also called a cross classification that array displays the joint frequencies and relative frequencies of two categorical (nominal or ordinal) variables

61
Q

direction of a relationship

A

an indication of which values of the dependent variable are associated with which values of the independent variable

62
Q

goodman and Kruskal’s gamma

A

a measure of association between ordinal level variables

63
Q

goodman and krskals lambda

A

a measure of association between on nominal or ordinal level variable and one nominal level variable

64
Q

interaction

A

the strength an direction of a relationship depend on an additional variable or variables

65
Q

measures of association

A

statistics that summarize the relationship between two variables

66
Q

multivariate analysis

A

data analysis techniques designed to test hypotheses involving more than two variables

67
Q

multivariate cross tabulation

A

a procedure by which cross tabulation is used to control for a third variable

68
Q

Proportion reduction in error (PRE) measures

A

a measure of association that indicates how much knowledge of the value of the independent variable of a case improves prediction of the dependent variable compared to the prediction of the dependent variables based on no knowledge of the case’s value on the independent variable

69
Q

total variance

A

a numerical measure of the variation in a variable, determined by summing the squared deviation of each observation from the mean

70
Q

logistic regression

A

a nonlinear regression model that relates a set of explanatory variables to a dichotomous dependent variable

71
Q

logistic regression coefficient

A

a multiple regression coefficient based on the logistic model

72
Q

maximum likelihood estimation

A

a class of estimators that chooses a set of parameters that provides the highest probability of observing a particular outcome

73
Q

multivariate regression analysis

A

a technique for measuring the mathematical relationships between more than one independent variable and a dependent variable while controlling for all other independent variables in the equation

74
Q

multivariate regression coefficient

A

a number that tells how much Y will change for a one unit change in a particular independent variable, if all the other variables in the model have been held constant

75
Q

regression analysis

A

a technique for measuring the relationship between two interval or ratio level variables

76
Q

regression coefficient

A

a statistic that tells how much the dependent variable changes per unit change in the independent variable

77
Q

regression constant

A

value of the dependent variable when all the values of the independent variables in the equation equal zero

78
Q

r squared

A

the proportion of the total variance in a dependent variable explained by an independent variable