Research in Psychology and Basic Concepts in Statistics Flashcards

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1
Q

Entire collection of events/observations we are interested in studying

A

Population

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2
Q

measurement taken from the population

A

parameter

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3
Q

measurements collected from the sample drawn from the population

A

statistic

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4
Q

denoted by the Greek letter (mu) µ.

A

population

*we must always clearly define the population we are
interested in.

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5
Q

observations drawn from the population and used to infer something about the characteristics of the population

A

samples

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6
Q

term used to refer to the population where samples are drawn from

A

sampling frame

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7
Q

things/observations/constructs that can be measured, controlled, or manipulated in research and can take on different values

A

variable/s

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8
Q
  • variables that could have an effect on other variables and the one usually controlled in research
  • may be either quantitative or qualitative and discrete or continuous
A

independent variable

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9
Q
  • variable affected by the variations in the independent variable
  • generally, but not always, quantitative and continuous
A

dependent variable

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10
Q

variables that can affect the outcome of the study, but which are not strictly part of the study

A

confounding variables

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11
Q

variables that can take on only a limited number of values (e.g., gender, high school class)

A

discrete variables

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12
Q

variables which can assume, at least in theory, any value between the lowest and highest points on the scale. (e.g., age and self esteem score)

A

continuous variables

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13
Q

data which are results of any sort of measurement

A

quantitative data/measurement data

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14
Q

frequency data or qualitative data

A

categorical data

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15
Q

may have an infinite number of values between adjacent units on the scale, all measurements made are approximate

A

continuous variable

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15
Q

____ are those values that are above and below the recorded value by one-half of the smallest measuring unit of the scale

A

real limits

16
Q

Levels of Measurement of Variables/Scales

variables that allow for only categorization into named sets. individual items belong to some distinctively different categories, but there is no quantifying or ranking of items

ex. male or female, republican, democrat, independent

A

nominal

17
Q

Levels of Measurement of Variables/Scales

variables which are ranked in order in terms of which has less and which has more of the quality represented by the variable, but not how much more

ex. socioeconomic status, military ranks, holmes and rahe (1967) scale of life stress

A

ordinal

18
Q

Levels of Measurement of Variables/Scales

not only give rank but also quantify and compare the size differences (interval) between

ex. temperature, fahrenheit and celcius

A

interval

19
Q

Levels of Measurement of Variables/Scales

variables that have an identifiable absolute of true zero point

ex. length, volume, time

A

ratio

20
Q

statistics primarily aimed at describing or summarizing data into meaningful framework

Ex: measures of central tendency (mean,
median, mode), measures of dispersion (standard
deviation, variance), graphical representations of data
or distribution (histograms, graphs, scatter plot etc.)

A

descriptive statistics

21
Q

(developed by John Tukey) - necessity of paying close attention to data and examining them in detail before invoking more technically involved procedures

A

Exploratory Data Analysis (EDA) or Exploratory Statistics

22
Q

inferring hypotheses or educated guesses from the sample to the population with the use of statistical procedures

A

inferential statistics

23
Q

Cornerstones of Research

measures what is supposed to be measured in research

A

validity

24
Q

Cornerstones of Research

replicability of findings in research

A

reliability

25
Q

Cornerstones of Research

refers to whether or not experimental or research results can be generalized to a real-world situation

A

external validity

26
Q

Cornerstones of Research

manipulation of variables in research has led to an observed/desired difference

A

internal validity

27
Q

Cornerstones of Research

a formal way of expressing a question as a prediction that can be tested

A

hypothesis

28
Q

Cornerstones of Research

hypothesis that states that there will be no effect of the independent variable on the dependent variable

A

null hypothesis

29
Q

__ or __ stands for the variable measured

A

X or Y

30
Q

___ stands for the total number of subjects or score

A

N

31
Q

___ is the ith score, where i can vary from 1 to N

A

Xi

32
Q

pronounced as X-bar

A

Mean

33
Q

Greek letter called “Sigma” or “summation of” or
“add up” or “take the sum of.

A

Σ

34
Q

therefore means “add up all the scores in X.

A

∑X

35
Q

sum of the squared scores

A

∑X²

36
Q

sum of the X scores, quantity squared.

A

(∑X)²