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Research Methods - PSY311
Fichas del conjunto (63)
- 1INFERENTIAL STATISTICSstats designed to determine whether results of sample data can be generalized to a population.
- 2HYPOTHESIS TESTINGThe process by which researchers determine if their data supports or refutes the hypothesis; based on probability theory
- 34 STEPS TO HYPOTHESIS TESTING1: State your hypotheis
2:Set the criteria for deciding when you should accept or reject a null hypo.
3:Collect the data from your study and calculate the mean for your sample
4:make a decision about the null hypothesis according to the alpha level - 4WHAT IS A HYPOTHESIS?a statement regarding the relationship between or among two or more variables.
- 5WHAT IS A NULL HYPOTHESIS?states that in a population, there is NO change, NO difference and NO relationship.
- 6WHAT IS AN ALTERNATIVE HYPOTHESIS?states that in the population, there IS a change, IS a relationship, IS a difference
- 7WHAT ARE CHARACTERISTICS OF A NORMAL DISTRIBUTION?1: mean=median=mode
2:shape is symmetrical around central tendency
3:tails approach but never touch the y-axix - 8WHAT ARE THE NORMAL DISTRIBUTION PROPERTIES?68% = 1SD above/1SD below; 95% = 2SD above/2SD below; 99% = 3SD above/3SD below
- 9WHAT IS NORMALLY EXPECTED IN THE DISTRIBUTION OF SAMPLE MEANS?We normally determine the expected mean of every possible sample of 50
- 10WHAT IS THE ALPHA LEVEL?the probability value criteria that's used to distinguish unlikely sample means from likely sample means.
- 11WHAT IS THE MOST COMMON ALPHA LEVEL?a = .05
- 12STATISTICAL SIGNIFICANTif the probability of an outcome is less than the alpha level, then we say the finding is statically significant.
- 13WHAT ARE THE TWO TYPES OF SURVEYS?Descriptive and Analytic Surveys
- 14WHAT ARE DESCRIPTIVE SURVEYS?surveys used to describe people's emotions, opinions, feelings and behaviors
- 15WHAT ARE ANALYTIC SURVEYS?used to study relationships between variables
- 16OPEN-ENDED QUESTIONS...provides richer data.. there's no cut-off point but the answers tend to be longer
- 17CLOSE-ENDED QUESTIONS...gives survey takers a limited rang of options from which to choose; it's easy to analyze but data isn't rich
- 18NEGATIVELY PHRASED QUESTIONS...contains the words NOT, SHOULD NOT, CANNOT...etc.
- 19DOUBLE-BARRELED QUESTIONS...asks two questions in one and is confusing to survey takers; he/she may agree to one part of the question but not the other
- 20LEADING/LOADED QUESTIONS...suggests what the "correct" answer SHOULD be... causing survey takers to be dishonest
- 21RESPONSE SETS...should be avoided because they contain: "yea-say" and "nay-say" questions, socially desirable questions, and reverse item wording
- 22MAIL-IN SURVEYS...written, self-administered surveys
- 23TELEPHONIC SURVEYS...surveys conducted over the phone with a live person
- 24INTERNET SURVEYS...self-administered via the internet
- 25PERSONAL INTERVIEW SURVEYS...a researcher interviews participants
- 26FOCUS GROUPS...a group of people interviewed together..
- 27WHAT IS SAMPLING?a technique designed to create a small group of people that represent the characteristics of a larger group (taking a small slice out of a pie see how it tastes).
- 28WHAT IS A SAMPLING FRAME?a list of people who are in a population
- 29WHAT ARE THE 2 SAMPLING TECHNIQUES?Probability Sampling & Non-Probability Sampling
- 30HAPHAZARD/VOLUNTEER SAMPLEsample chosen from the population such that available individuals are chosen
- 31SIMPLE RANDOM SAMPLINGeach person in the population has an equal chance of being selected and is willing to participate
- 32SYSTEMATIC RANDOM SAMPLINGonly the FIRST person is randomly selected. After that, every nth person is systematically selected - the system goes into effect after the first person is selected
- 33STRATIFIED SAMPLINGinvolves drawing separate samples from a set of known subgroups rather than sampling from the population as a whole.
- 34PROPORTIONATE STRATIFIED SAMPLINGsample from each strata created that are consistent with their proportions in the population of interest
- 35DISPROPORTIONATE STRATIFIED SAMPLINGwhen stratas differ greatly in size and researchers may oversample the smaller traits..
- 36CLUSTER SAMPLINGused when there isn't a clear sense of the sampling frame.
- 37CONVENIENCE SAMPLESthe researcher's sample consists of individuals who are readily available
- 38QUOTA SAMPLINGstratified sampling but NOT random
- 39RESPONSE RATEthe percentage of people out of the total number available who respond to a survey
- 40SAMPLING ERRORthe difference between the observations in a population and in the sample that represents that population in a study
- 41CORRELATIONAL RESEARCHinvolves determining the relationship between 2 or more continuous variables
- 42WHAT ARE THE 4 TYPES OF CORRELATIONAL RELATIONSHIPS (DIRECTIONS)?negative, positive, zero and curvilinear
- 43POSITIVE CORRELATIONtwo variables that goes in the same direction
- 44NEGATIVE CORRELATIONtwo variables that move in opposite directions
- 45ZERO CORRELATIONno relationship between variables
- 46CURVILINEAR CORRELATIONas one variable goes up, the other follows initially but then changes direction
- 47PEARSON'S PRODUCT MOMENT CORRELATION COEFFICIENT [r]a statistic that examines the linear relationship between two continuous variables. it measures the direction & strength of the relationship.
- 48PEARSON'S CORRELATION COEFFICIENT STRENGTH.4 to 1.0 = large eff.
.2 to .3 = med eff.
.1 to .2 = sm eff.
0. to .1 weak eff. - 49SCATTERPLOTSprovides a visual representation of the direction and strength of the relationship between the variables
- 50RESTRICTION OF RANGEoccurs when most participants have similar scores on one of the variables being correlated
- 51CORRELATIONS IN APA FORMATex: r (65) = .21, p = .03 / there was a significant positive (or negative or no relationship) correlation between __ and __.
- 52SPSS OUTPUTpearson corr = r
sig. (2-tailed) = ep. value
N = degree of freedom - 53TOP RULEcorrelations does NOT equal causation
- 54REQUIREMENTS TO CLAIM CAUSE AND EFFECT-temporal precedence
-co-variation bwt variables
-eliminating plausible alterantive explanation - 55STATISTICSthe science of organizing and describing data and drawing conclusions
- 56WHAT ARE THE TWO BRANCHES OF STATISTICS?descriptive and inferential statistics
- 57DESCRIPTIVE STATISTICSdeals with summarizing scores from collected data
- 58INFERENTIAL STATISTICSinvolves drawing conclusions about a population based on a sample obtained from that population
- 59WHAT ARE SOME OF THE WAYS TO INTERPRET COLLECTED DATA?frequency distributions, bar graphs and histograms
- 60FREQUENCY DISTRIBUTIONSarrangement of scores that goes from lowest to highest
- 61BAR GRAPHSa graphic presentation of a frequency distribution of categorical data
- 62HISTOGRAMa graphic representation of a frequency distribution of continuous data
- 63CENTRAL TENDENCYthe one number that best summarizes a distribution of scores
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- Fichas sobre Research Methods - PSY311, creado por smartazz_rae el 23/10/2013.
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