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### ANCOA

often used in casual-comparative studies, tests two/more groups while controlling for extraneous variables that are often called 'co-variates'

### ANOVA

a test for three or more means, is used to test for differences among two or more groups, yields an F ratio.

### Fatorial Analysis of Variance

Is used in the study of two or more variables. The 2x2 design, in which there are two independent variables each with two distinct values, is the most common, although multi-level designs can be used.

### Pearson Product Moment Correlation

used with interval and ratio data. Correlation describes a relationship or assocaition between variables

### Chi-square Test

whether an obtained distribution is significantly different than an expected or theorectical distribution

### Non-Parametric (Kruskal Wallis)

is a non-parametric method for testing equality of population medians among groups

### Spearman Rho

if the data in the correlational study are expressed as ranks then this used, used to calculate a correlation coefficent, both variables are ordinal.

### Non-Parametric (Mann-Whitney U)

used to determine whether 2 uncorr/unmatched means diff significantly

### Career Decision Scale (CDS)

self reporting measure suitable for high school and college aged students

### Kuder career inventory

interest inventory that makes the assumption that a person will find satifaction in an occupation where workers have similar interest patterns

### MMPI-2

standarized personality test designed to assess some major personality characteristics that affect personal and social adjusments

### MBTI

measure of personality dispostion gives a four letter code used for interpreting persoanlity type

### SII

compares a persons interests with those or persons who have been in their occupation for at least three yrs

### 16 PF

measures key personality factors like assertiveness, emotional maturity and shrewdness associated with Raymond Cattell

### Parametric tests

assume a normal distribution, selection of participant is independent data must represent interval and ratio scale, have more power than non parametric tests

### Chi-square of independence

used when you have categorical/count data, is useful for considering rela b/t two categorical var, will seek therapy or wont. Diff b/t what you observe and what you expect (is formula for this).

### Non-parametric tests

measure qualitative attributes,characteristics, and catergories, data is nominal or ordinal.

### Solomon four-group design

considered a true experimental design sins each group is chosen via random sample, design for a group experiment. One control group receives a pre-test and one experimental group receives a pre-test and the other control/experimental group do not

### Causal comparative research

groups are randomly assigned and current researcher didn't truly control the IV in the study

### T-score

has a mean of 50 with every 10 points landing at a standard deviation above of below the mean

### Hawthorne effect

if subjects know they are part of an experiment their performance or if they are given more attention because of the experiment their performance imporves

### Rosenthal effect

Known as experimenter effect, Pygmalion effect, experimenters beliefs about the individual may cause the individual to be treated in a special way so that the individual begins to fulfill the experimenters expectations

### Halo effect

Transfer of goodwill or positive feelings about one characteristic (such as pleasing appearance) of a product or person to another, possibly unrelated, characteristics (such as performance)

### Correlational Research

This type of research involves one group of people who have two or more variables measured, research relates two or more variables to determine whether and to what degree a relationship exists between them, does not establish a cause and effect relationship, nor does it involve a treatment.

### Causal Comparative Research

research is sometimes called ex post facto research because both the effect and the cause of the effect have already occurred. No treatment applied, can establish a cause and effect relationship.

### Experimental Research

researcher will manipulate one or more IV in a controlled setting in order to determine the effect on the DV, is the same as causal comparative except that a treatment must be administered to the experimental group and not to the control group.

### Dependent Variable

it is the effect, test score or observation, experimenter has no control over.......

### Action Research-Kurt Lewin

not generalizable, solve practical problems through the use of the scientific methods, "learning by doing" - a group of people identify a problem, do something to resolve it, see how successful their efforts were, and if not satisfied, try again

### Historical Method Research

involves studying and explaining past events, purpose is to arrive at a conclusion concerning cause, effect or trends of past events that help explain current or predict future events.

### Qualitative Method Reshearch

involves researcher observing people or events in their natural setting, main purpose is to understand the effect of the particular context on the events.

### Threats to Internal Validity

History, Maturation, Testing, Insturmentation, Statistical Regression, Biases or Differential Selection, Mortality, Selection

### History

affects the performance on the independent variable during th time of the treatment bust is not the independent variable.

### Instrumentation

results from a problem with instruments used for assessment, changes in the measuring device or procedure over the course of a study.

### Statisical Regression

the tendency for scores to regress toward the mean, when one of two groups scores rather high or low prior to the study, control by random assignment.

### Biases or Differential Selection

when groups are different before the study begins due to the use of already formed groups.

### Selection

when already formed groups are used one may profit more from the treatment than the other.

### Threats to External Validity

Pretest treatment interaction, Multiple treatment interference, Selection treatment interaction, Specificty of variables, Experimenter effects, Reactive arrangments.

### Pretest Treatment Interaction

when subjects respond differently to treatment because they have been pre-tested, so results are only generalizable to other pre-tested sujects.

### Multiple Treatment Interference

when more than one treatment is administered in an experiment, the earlier treatments may affect the later treatments.

### Selection Treatment Interaction

occurs when subjects are not randomly selected from the population. If sample not representative of population, results cannot be generalized to the populaiton.

### Specificity of Variables

while the populaiton and the sampling method must be described in detail, care should be taken that the experimental situation is still generalizable.

### Experimenter Effects

when the researcher causes the results to be different from what they would have been.

### Experimenter Bias Effect

when the researcher's expectations affect the researcher's behavior and it then will affect the outcomes.

### Experimenter Personal Attributes

when the researcher's personal attributes such as temper, sex, age etc., affect the outcomes.

### Random Sampling

a process of selecting individuals from the population so that each individual has an equal and independent chance of being selected.

### Stratified Random Sampling

a process or selecting individuals from a population in such a way that the subgroups in the population are represented in the sample, the population is divided into subpopulations and random samples are taken of each stratum.

### Systematic Sampling

individuals are selected from a list by taking every "th" name, ex. taking every fourth namefrom the phone directory.

### True Experimental Design

ex, pre-post-test control, post-test only, and Solomon Four group, provide excellent control, is one in which the researcher manipulates the Independent Variable (or variables) to observe its effect on (the dependent variable) to test casual relationship, uses random assignment to groups in order to control external factors from influencing the results.

### Quasi-Experimental Design

subjects are not randomly assigned, manipulates one or more independent variables

### Factorial Design

allows the testing of more than one hypothesis, two or more independent variables are manipulated simultaneously in order to study the independent effect of each variable on the dependent variable

### Nominal

lowest level, is qualitative, categorizes groups as male/female, freshman/seniors, etc. Expressed as names or numbers, mode is most appropriate.

### Ordinal

2nd level, is quantitative, calculations of median and variability of quartile deviation, has magnitude only, and can be looked at as any set of data that can be placed in order from greatest to lowest but, there is no absolute zero and no equal intervals

### Interval

3rd level, possesses magnitude and equal units, no absolute zero, Temperature is a classic example we know that each degree is the same distance apart and we can easily tell if one temperature is greater than, equal to, or less than another. Temperature, however, has no absolute zero because there is (theoretically) no point where temperature does not exist.

### Ratio

Highest level, has an absolute zero and equal intervals, physical scales of time, length, and wieght, one can be twice, three times as much as another, which means addition, subtraction, multiplication, and division can all be used.

### Measures of Variabiliy

describes how spread out a group of scores are or how they spread themselves from the cetral tendency. Examples the range and standard deviation,

### Measures of Relative Position

compare a subject's performance to that of the other subjects. Examples percentile rank, standard score, z scores, t scores, stanines.

### Measures of Relationship

describe the degree of relationship between tow sets of scores. Examples correlations, Spearman rho, Pearson r.

### Standard Deviation

A measure of spread within a distribution (the square root of the variance). The most popular and most reliable measure of variability.

### Standard Score

a measure of relative position when the test data are of interval or ration measurement, the distance between the raw score and the mean of the norm in terms of the standard deviation.

### Raw Score

represents the number of points a student received for correctly answering questions on a test or for a content area.

### Z Scores

raw score minus the mean then divided by the standard deviation, always has a mean of 0 and standard deviation equal to 1, same as standard score

### T Scores

A standard score that sets the mean to fifty and standard deviation to ten. Used on a number of tests including the MMPI.

### Non-Parametric(Median Test)

will determine if the proportion of subjects falling above and below the median is different from the control group.

### Non-Parametric(Sign Test)

asign a + for direction above and a - for direction below an identifed point.

### Non-Parametric(Chi-square)

is used when the data is in the form of frequency counts and represents a nominal scale.

### Non-Parametric(Scheffe)

used for muliple comparsions, ex. if F-ratio is significant this is used to determine where the significance lies.

### Ex Post Facto Design

looks like a posttest, research takes place after groups have been formed, design where the independent variable cannot be manipulated, such as persoanlity, gender, and race

### Double Blind Study

the researcher or participants do not know the hypothesis or who belongs to the treatment or control groups.

### Inferentaial Statistics

A procedure used to estimate parameters (characteristics of populations) from statistics (characteristics of samples).

### Descriptive Statistics

Numbers used to describe information or data or those techniques used to calculate those numbers.

### Meta Analysis

a process of combining defferent studies involving similar variables by estimating the effect size in each study.

### Regression

as a tendency of scores to move toward the mean, is a statistical technique used to predict a variable (success) when a second variable (skill) is known, that is the relationship between success and skill.

### True Score

score that the participant would have obtained if measurement was perfect—ie, we were able to measure without error, hypothetical score based upon no measurement of error

### Type I (Alpha)

occurs when the null hypothesis is true, but the researcher rejects the null hypothesis.

### Independent group comparison design

the two groups in an experiment are independent of each other (the change in one group did not influence the change in the other group)

### Repeated-measures comparison design

research measures the same group of subjects without the IV and with the IV

### Accept, Your computation must EXCEED the critical t in order to reject the Null.

If the t-value obtained statistically is lower than the t value (critical t) then you ____ the null hypothesis.

### an F-statistic, If F obtained exceed the critical F-value, you reject the Null.

The results of ANOVA yield...

### ANCOVA, analysis of covariance

To test 2 or more groups while controlling for extraneous variable (co-variates) you use the

### In an ipsative measure the person taking the test must compare items to one another. The result is that...

you cannot legitimately compare two or more people who have taken an ipsative tests. (does not reveal absolute strengths) - it points out high and low between a single individual.

### The Q-sort involves a procedure in which...

someone is given cards with statements and asked to place them in piles of "most like me" to "least like me." Then the subject compiles them to create the "ideal self," which can be compared to her current self-perception in order to assess self-esteem.

### correlation coefficients; 1.00

Reliability and validity is expressed via_____ and the closer they are to,____ the better.

### the Kuder-Richardson coefficients of equivalence. (KR-20 or KR-21 formulas)

A counselor is told by his supervisor to measure the internal consistency reliability of a test but not to divide the test in halves. The counselor would need to utilize...

### the Kuder-Richardson coefficients of equivalence.

A counselor is told to measure the internal consistency reliability (i.e. homogeneity)of a test but not to divide the test in halves. The counselor would need to utilize...

### inter-item consistency (if each item on the test is measuring the same thing as every other item.

internal consistency or homogeneity of items is also known as...

### 70% of the score is accurate while 30% is inaccurate. (70% is true variance, 30% error variance).

A reliability coefficient of .70 indicates that...

### 49% To demonstrate the variance of one factor accounted for by another you merely square the correlation. This principle is referred to as the coefficient of determination.

The same test is given to the same group of people using the test-retest reliability method. The correlation between the first and second administration is .70. The true variance is...

### factor-analytic tests, theory-based tests

Tests and inventories like the 16PF that analyze data outside a given THEORY are called _______ ____ rather than _____-______ tests.

### a causal comparative design (data from this design can be analyzed with a test of significance just like any true experiment)

an experiment that is a true experiment except for the fact that the groups were not randomly assigned is called...

### multiple-baseline design

when a researcher employs more than one target behavior, the term ______ is used.

### ratio or interval data and rho is used for ordinal data

The Pearson Product-Moment correlation r is used for ____ data while the Spearman rho correlation is used for ____ data.

### In the Solomon four-group design...

the researcher uses two control groups. Only one experimental group and one control group are pretested, the other groups are merely post-tested. (lets the researcher know if the results are influenced by pretesting)

### histogram

a distribution with class intervals can be graphically displayed via a bar graph also called a

### What the John Henry Effect?

is a threat to internal validity of an experiment that occurs when subjects strive to prove that an experimental treatment that could threaten their livelihood isn't all that effective.

### peakedness in the curve. Mesokurtic: normal curve with peak in middle (meso)

kurtic in "mesokurtic" refers to....

### the comparison group lowers their performance in an inept manner because they have been denied the experimental treatment.

Another control group phenomenon that threatens internal validity in research is the "Resentful Demoralization of the Comparison Group" - explain this.

### The Rosenthal/Experimental Effect: the experimenter falls in love with her own hypothesis and the experiment becomes a self-fulfilling prophecy.

What is the Pygmalion Effect?

### any psychotherapeutic model that focuses on the here-and-now rather than the past.

What is "ahistoric therapy"?

### systematic sampling (selecting every 10th person in a sample)

A researcher wants to run a true experiment but insists she will NOT use a random sample. You could safely say that she could accomplish this by using...

### matched in regard to any variable the could be correlated with the DV.

In a matched design the subjects are literally...

### Mann-Whitney U test

to determine whether 2 UNcorrelated/UNmatched means differ significantly from each other.

### Wilcoxon signed-rank test

examines whether 2 correlated means differe significantly from each other.

### 2 = t-test

If you were using a parametric test to examine a null hypothesis for two means, you could rely on a