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127 Cards in this Set
- Front
- Back
Wilhelm Wundt |
Founded the first psychological laboratory in 1879 and brought together work in philosophy, physiology, and psychophysics to create a new field. |
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Hermann Ebbinghaus |
Demonstrated that higher mental processes could be studied using experimental methodology.
Studied memory using nonsense syllables. |
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Oswald Kulpe |
Believed in imageless thought (in strong disagreement with Wundt). |
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James McKeen Cattell |
Studied under Wundt.
Introduced mental testing in the United States. |
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Binet-Simon test |
An intelligence test that measured mental age. |
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Mental age |
The age level at which a person functions intellectually, regardless of chronological age. |
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William Stern |
Developed the intelligence quotient (IQ). |
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IQ |
Intelligence quotient; an equation that compares mental age with chronological age. |
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Stanford-Binet Intelligence Test |
The Binet-Simon test as revised for use in the United States. |
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Hypothesis |
A tentative and testable explanation of the relationship between two or more variables; the first step in research design. |
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Variable |
A characteristic or property that varies in amount or kind and can be measured. |
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Operational definition |
The way in which a researcher plans to define the variables in an experiment so that they are measurable. |
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Independent variable |
The variable whose effect is being studied and is manipulated by a research design. |
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Dependent variable |
The response that is expected to vary with differences in the independent variable. |
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What are the 3 types of research? |
1. True experiments
2. Quasi-experiments
3. Correlational studies |
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Correlational study |
A study in which the independent variable is measured but not manipulated. |
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Random assignment |
A condition in which participants in a study are assigned to a condition at random (out of the control of the researcher). |
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True experiment |
A study in which random assignment and manipulation of the independent variable are both present. |
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Quasi-experimental design |
A study in which random assignment is not used, therefore, insufficient control over the variables does not allow for definitive statements or causal factors to be made. |
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Naturalistic observation |
Also known as field study; observing how variables behave without any intervention. |
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Sample |
A subset of a population for which a researcher hopes to generalize the results of a study. |
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Random selection |
A technique in which each member of a population has an equal chance of being selected for the sample. |
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Stratified random sampling |
A technique in which each subgroup of the population is randomly sampled in proportion to size. |
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Between-subjects design |
A study in which each subject is exposed to only one level of each independent variable. |
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Matched-subjects design |
A study in which subjects are matched based on the variable that the researcher wants to control. |
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Within-subjects design |
A study in which the same group of subjects is exposed to more than one condition allowing researchers to separate effects of individual differences |
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Counterbalancing |
A method of controlling the potential effects of unintended independent effects by assigning all subjects with all test levels but in different order. |
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Confounding variable |
An unintended independent variable that interferes with inferring causality. |
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Control group design |
A study in which both groups are treated equally in all respects except that the control group does not receive the treatment and the experimental group does. |
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Nonequivalent group design |
A study in which the control group is not necessarily similar to the experimental group since the researcher does not use random assignment; often used in educational research because students cannot be randomly assigned to classrooms. |
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Experimenter bias |
The fact that the experimenter might inadvertently treat groups of subjects differently or interpret the results based on his or her expectations. |
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Double-blinding |
A research condition in which neither the researcher or the subjects know which conditions will be assigned to which subjects. |
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Single-blinding |
A research condition in which the researcher knows which conditions are assigned to which subjects. |
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Demand characteristics |
Any cues that suggest to subjects what the researcher expects from them. |
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Placebo effect |
A therapeutic response resulting from an inactive substance, such as a sugar pill. |
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Hawthorne effect |
A tendency of people to behave differently if they know they are being observed. |
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External validity |
How generalizable the results of an experiment are. |
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What are two types of statistics in psychology? |
1. Descriptive statistics
2. Inferential statistics |
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Descriptive statistics |
The organizing, describing, quantifying, and summarizing a collection of actual observations. |
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Inferential statistics |
Mathematical study that allows for the generalization of information beyond actual observations. |
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Frequency distribution |
A graphic representation of how often each value occurs in a data set. |
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What are three measures of central tendency and what do they provide? |
1. Mode
2. Median
3. Mean
These measures provide estimates of the average score. |
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Mode |
The value of the most frequent observation in a data set. |
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Bimodal |
The description of a data set that has two values that are tied for being the most frequently occurring. |
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If all of the values in a distribution occur with equal frequency, what is true of the mode? |
There is no mode. |
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Median |
The middle value when observations are ordered from least to most or vice versa (the mathematical middle point). |
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Mean |
The arithmetic average. |
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Outliers |
Extreme scores. |
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Variability |
Also known as dispersion; A description of the distribution of scores. |
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What are the three measures of variability? |
1. Range
2. Standard deviation
3. Variance |
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Range |
In a data set, the smallest number in the distribution subtracted from the largest number. |
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Standard deviation |
A measure of the typical distance of scores from the mean. |
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Variance |
The square of the standard deviation; a description of how much each score varies from the mean. |
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There can be no ____________ values in the measure of distance, so standard deviation and variance must be either ____________ or ___________ |
1. negative
2. 0
3. a positive number |
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Identify the standard deviation values of this normal distribution. |
S= 34%
2S= 14%
3S= 2%
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Percentile |
The percentage of scores that fall at or below a particular score.
To calculate the percentile represented by a z-score, add up all of the percentages to the left of the z-score. |
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Z-score |
A score that represents how many standard deviations above or below the mean a score is.
z-score= item score - mean of distribution __________________________________ standard deviation |
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Where do positive and negative z-scores fall in a distribution? |
Negative z-scores are below the mean and positive z-scores are above the mean. |
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T-scores |
A test score that is converted to a normal distribution that has a mean of 50 and a standard deviation of 10. |
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Correlation coefficient |
Measures to what extent, if any, two variables are related.
These values range from -1.00 to +1.00. |
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Positive correlation |
A change in value of one of the variables tends to be associated with a change in the same direction of the value of the other variable. |
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Negative correlation |
A change in the value of one of the variables tends to be associated with a change in the opposite direction of the other variable. |
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Correlation does not imply ________________. |
Causation |
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A perfect correlation would have a value of ___________. |
+1 or -1 |
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Scatterplot |
The graphic representation of correlational data. |
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Best-fitting straight line |
A line that passes through a scatterplot to indicate the direction of the correlation. |
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Factor analysis |
A statistical technique using correlation coefficients to reduce a large number of variables to a few factors. |
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Factor |
A cluster of variables highly correlated with each other is assumed to be measuring the same thing. |
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Significance test |
A tool researchers use to draw conclusions about populations based upon research conducted on samples; can tell researchers the probability that observed differences are due to chance. |
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Alternative hypothesis |
Also known as a research hypothesis; the hypothesis put forth in a research study. |
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Null hypotheses |
Other explanations for phenomena observed during a research study. If this is supported, then the phenomena are due to chance. |
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Statistically significant |
If an alpha level is less than or equal to 5, this is determined and the null hypothesis is rejected. |
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Alpha level |
The criterion of significance. |
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Beta |
The probability of making a Type II error. |
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T-test |
Used to compare the means of two groups. |
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ANOVA |
Used to compare the means of more than two groups and to determine if there is any interaction between two or more independent variables. |
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Chi-square test |
Tests the equality of two frequencies or proportions. |
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F ratio |
= Between-group variance estimate _____________________________________ Within-group variance estimate
The equation used to calculate ANOVAs. |
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What does an F ratio nearing zero indicate? |
That the mean scores are about the same for each group. |
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An interaction between two independent variables occurs whenever the effects of one independent variable are ______________ for all levels of the second independent variable. |
not consistent. |
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Chi-squared tests are significance tests that work with ________________ rather than ________________ data. |
categorical, numerical |
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Nominal |
Categorized measurement is named this way because it involves classifying or naming. |
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Factorial design ANOVAs |
Each level of a given independent variable occurs with each level of the other independent variables. |
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Meta-analysis |
A statistical procedure that can be used to make conclusions on the basis of data from different studies. |
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Norm-referenced testing |
Assessing an individual's performance in terms of how that individual performs in comparison to others. |
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Test norms are derived from _____________ samples. |
standardized. |
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Domain-referenced testing |
Also called criterion-referenced testing; concerned with the question of what the test taker knows about a specified content domain. |
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Reliability |
The consistency with which a test measures its subject. |
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Standard error of measurement (SEM) |
An index of how much, on average, we expect a person's observed score to vary from the score the person is capable of receiving based on actual ability. |
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What are the 3 basic methods used to establish the reliability of a test? |
1. Test-retest
2. Alternate-form
3. Split-half |
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Test-retest method |
A method in which the same test is administered to the same group of people twice. |
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What does the test-retest method measure? |
The inter-individual stability of test scores over time. |
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Alternate form method |
A method in which the examinees are given two different forms of a test that are taken at two different times. |
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Split-half reliability |
A method in which test-takers take only one test, but that one test is divided into two equal halves and scores on one half are correlated with the scores on the other half. |
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What correlation coefficient indicates a high level of reliability? |
Greater than or equal to +.80. |
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Validity |
The extent to which a test actually measures what it purports to measure. |
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Content validity |
How well the content items of a test measure the particular skill or knowledge area that it is supposed to measure. |
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Face validity |
Whether or not the test items appear to measure what they are supposed to measure. |
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Criterion validity |
How well the test can predict an individual's performance on an established test of the same skill or knowledge area. |
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Cross validation |
The testing of criterion validity of a test on a second sample after validity has been demonstrated using an initial sample. |
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Construct validity |
How well a test measures the intended theoretical construct. |
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Convergent validity |
If two constructs are related, then a person who scores high on a test of one construct should score high on a test of the other construct. |
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Discriminant validity |
If two constructs are not related, then a person who scores high on a test of one construct should score low on a test of the other construct. |
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What are the 4 basic types of measurement scales? |
1. Nominal
2. Ordinal
3. Interval
4. Ratio |
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Ordinal scale |
Observations are ranked in terms of size or magnitude. |
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Interval scale |
Actual numbers (but not ranks) are used for scoring. |
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Ratio scaling |
Equal intervals are used in a measure wherein there is a true zero point that indicates the total absence of the quality being measured. |
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What are the 2 types of ability tests? |
1. Aptitude tests
2. Achievement tests |
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Aptitude tests |
Used to predict what one can accomplish through training. |
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Achievement tests |
Attempt to assess what one knows or can do now. |
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ratio IQ = |
mental age _____________________ x 100 chronological age |
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Deviation quotients |
Tells us how far away a person's IQ score is from the average score for the particular age group the subject is a member of. |
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Wechsler tests |
Tests that have all items of a given type grouped into subtests and these items are arranged in order of increasing difficulty within each subset.
Include WPPSI-R, WISC-R, WAIS-R, and WAIS-III |
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Personality inventory |
A self-rating device usually consisting of statements that a subject is asked to determine if they apply to him or her. |
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Minnesota Multiphasic Personality Inventory (MMPI) |
A widely used personality inventory that measures ten clinical scales and can indicate whether a person is careless, faking answers, misrepresenting him or herself, or distorting responses. |
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Empirical criterion-keying approach |
Approach used in the development of the MMPI in which questions that were tested were retained if they differentiated between patient and non-patient populations. |
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California Psychological Inventory (CPI) |
A personality inventory based on the MMPI that is typically used on high school and college students and measures such personality traits as dominance, sociability, self-control, and femininity. |
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Projective tests |
Tests in which ambiguous stimuli are provided and subjects are to interpret them. Results are scored subjectively. |
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Rorschach test |
A projective test in which subjects are provided with inkblots in a specific order and given specific instructions to interpret them and the clinician interprets the results. |
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Thematic Apperception Test (TAT) |
A projective test in which a subject is provided with 20 simple pictures depicting scenes that have ambiguous meanings and asked to tell a story about what is happening. Scoring is not standardized. |
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Blacky pictures |
A projective test devised for children in which 12 cartoonlike pictures feature a dog and the test taker is asked to tell stores about the pictures. |
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Rotter Incomplete Sentences Blank |
A projective technique using sentence completion to measure whatever is on the test taker's mind. |
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Barnum effect |
The tendency of people to accept and approve of the interpretation of their personality that is given to them. |
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Interest testing |
Used to assess an individual's interest in different lines of work. |
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Strong-Campbell Interest Inventory |
An inventory organized like a personality inventory that measures a subject's like or dislike of particular interests. |
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RIASEC |
Acronym for realistic, investigative, artistic, social, enterprising, and conventional.
These are the categories that are being measured in the Strong-Campbell Interest Inventory. |