• Shuffle
Toggle On
Toggle Off
• Alphabetize
Toggle On
Toggle Off
• Front First
Toggle On
Toggle Off
• Both Sides
Toggle On
Toggle Off
Toggle On
Toggle Off
Front

### How to study your flashcards.

Right/Left arrow keys: Navigate between flashcards.right arrow keyleft arrow key

Up/Down arrow keys: Flip the card between the front and back.down keyup key

H key: Show hint (3rd side).h key

A key: Read text to speech.a key

Play button

Play button

Progress

1/45

Click to flip

### 45 Cards in this Set

• Front
• Back
 predictor and criterion variables the variables used to predict the criterion variable (eg. SAT scores are used to predict college grades) multiple regression an analysis (multivariate) that includes a criterion variable and 2 or more predictor variables Y = a + b1x1 + b2x2 + bnxn bivariate approach and multivariate approach investigates the relationship between any 3 or more than 2 variables criterion validity the ability of a test to predict some future event third variable problem and partial correlation the problem of drawing casual conclusion in correlational research - uncontrolled factors; the statistical procedure for evaluating the effects coefficient of determination (r^2) for two correlated factors, the proportion of variance in one factor that can be attributed to the second factor, found by squaring r Pearson's r measures the size of a correlation between two variables, ranges from +1.00 to -1.00; if r=0, no relationship Type 2 Error failing to reject the null when it is wrong Type 1 Error rejecting the null when it is true alpha level the probability of making a Type 1 Error; the significance level p-value is the probability that your sample could have been drawn from the population being tested given the assumption that the null hypothesis is true. A p-value of .05, for example, indicates that you would have only a 5% chance of drawing the sample being tested if the null hypothesis was actually true. variance the number calculated during the standard deviation just prior to taking the square root standard deviation a set of sample scores that measures the average amount by which the scores in the sample deviate from the mean outliers far moved from other scores range difference between high and low scores inferential statistics allows you to draw conclusions about your data that can be applied to the broader population descriptive statistics summarizes the data collected from the sample of participants in your study ordinal scale numbers stand for relative standing or ranking ratio scale numbers refer to quantities and intervals are assumed to be of equal size (NO zero) interval scale numbers refer to quantities, intervals are of equal scale (YES zero) nominal scale numbers have no quantitative value, serve to identify categories face validity valid to those who take it valid if it measures what it is designed to measure reliable results are repeatable when the behaviors are remeasured parsimonious the minimum number of constructs and assumptions in order to explain and predict some phenomenon adequately falsification emphasizes putting theories to the test by trying to disprove or falsify them productivity the amount of research that is generated to test a theory induction specific events to general (little to big) deduction theory to data (big to little) construct a hypothetical factor that is not observed directly; its existence is inferred from certain behaviors empirical questions a questions that can be answered by making objective observations operational definitions a definition of a concept or variable in terms of precisely describes operations, measures or procedures quantitative research numbers (mathematical) research qualitative reasons of behavior field research situations encountered in daily living (often applied) lab research inside or outside the controlled environment of a lab (often basic) applied research direct and immediate relevance to the solution of a real-world problem basic research describing, predicting, explaining fundamental principles of behavior and mental processes anecdotal evidence specific instances that seem to provide evidence - but cannot be investigated (ex. phrenology) pseudoscience appears to be scientific, but is in fact false theory set of statements that summarize what is known about some phenomena and propose working explinations falsification a theory that must be precise enough so that it can be disproven objectivity when observations can be verified by more than one observer introspection observing internally; into "ones-self" empiricism the process of learning things through direct observation or experinence