ANOVA Quiz

<p>Mean</p> Signup and view all the answers

<p>Deviation</p> Signup and view all the answers

<p>Standard deviation</p> Signup and view all the answers

<p>Convergent validity</p> Signup and view all the answers

<p>A way to check if the independent variable is working as intended</p> Signup and view all the answers

<p>The consistency of a measure over time</p> Signup and view all the answers

<p>To estimate variability in the population</p> Signup and view all the answers

<p>To compare the means of two groups in a between-subjects design</p> Signup and view all the answers

<p>Because only n-1 sample deviations supply information for estimating variability</p> Signup and view all the answers

<p>P-hacking</p> Signup and view all the answers

<p>Third variable problem</p> Signup and view all the answers

<p>Determining how well the data support the hypothesis</p> Signup and view all the answers

<p>A biased sample differs in important characteristics from the population, while a representative sample closely mirrors or resembles the population</p> Signup and view all the answers

<p>To prevent HARKing</p> Signup and view all the answers

<p>Convenience sampling</p> Signup and view all the answers

<p>It can threaten external validity</p> Signup and view all the answers

<p>A statistical method that uses sample data to evaluate a hypothesis about a population</p> Signup and view all the answers

<p>In the population there is no change, no difference, or no relationship</p> Signup and view all the answers

<p>A way of describing how extreme a score is in a distribution</p> Signup and view all the answers

<p>When two variables are related, it is unclear which variable affects (causes a change in) the other</p> Signup and view all the answers

<p>The difference between the sample statistic and the true population parameter</p> Signup and view all the answers

<p>The larger the sample, the more representative it is of the population, and so the less sampling error we expect</p> Signup and view all the answers

<p>The mean of all sample means is equal to the population mean</p> Signup and view all the answers

<p>A representation of a score's deviation from a mean in terms of standard deviations</p> Signup and view all the answers

<p>An extraneous variable that is correlated with levels of the IV</p> Signup and view all the answers

<p>To use a random assignment process to avoid a systematic relationship between the potential confound and the conditions of the study</p> Signup and view all the answers

<p>A between-subjects design is when each participant does only one condition of a study, while a within-subjects design is when each participant does all conditions of a study</p> Signup and view all the answers

<p>To compare the mean of one sample to the mean of a population</p> Signup and view all the answers

<p>A statistical test used to compare the means of three or more groups</p> Signup and view all the answers

<p>All means are equal</p> Signup and view all the answers

<p>One-way ANOVA has one factor with three or more levels and participants are in only one of the conditions while one-way repeated measures ANOVA has one factor with three or more levels and participants are in all of the conditions</p> Signup and view all the answers

<p>Main effects are the effect of one factor on average across all levels of the other factor(s) while interactions are the effect of one factor within a level of another factor</p> Signup and view all the answers

<p>To confirm the effectiveness of an experimental manipulation</p> Signup and view all the answers

<p>Convergent validity</p> Signup and view all the answers

<p>Reliability</p> Signup and view all the answers

<p>Median</p> Signup and view all the answers

<p>Gender</p> Signup and view all the answers

<p>To generate an estimate of a population parameter</p> Signup and view all the answers

<p>The extent to which a study measures what it is intended to measure</p> Signup and view all the answers

<p>The way you choose to measure a construct in a particular study</p> Signup and view all the answers

<p>How well the data supports the study's claim</p> Signup and view all the answers

<p>Alpha escalation</p> Signup and view all the answers

<p>Determining how well the data support the hypothesis</p> Signup and view all the answers

<p>Documenting decisions in advance and posting to public repositories with time stamp</p> Signup and view all the answers

<p>To estimate variability in the population</p> Signup and view all the answers

<p>To compare the means of two groups</p> Signup and view all the answers

<p>Only n-1 are free to vary because of the restriction that the sum of all deviations must equal to zero</p> Signup and view all the answers

<p>It assumes there is no change, difference, or relationship in the population</p> Signup and view all the answers

<p>To define the boundaries of the critical region</p> Signup and view all the answers

<p>It describes how extreme a score is in a distribution</p> Signup and view all the answers

<p>A z-test compares sample mean to population mean (sigma known), while a t-test compares 2 means or comparing sample mean to population mean (sigma unknown)</p> Signup and view all the answers

<p>To compare means between three or more groups</p> Signup and view all the answers

<p>Main effects refer to the effect of one factor on average across all levels of the other factor(s), while interactions refer to the effect of one factor within a level of another factor</p> Signup and view all the answers

<p>Covariance is the sum of products over df, while variance is the mean squared deviation</p> Signup and view all the answers

<p>Confirmatory research involves a priori hypotheses, while exploratory research involves post hoc hypotheses</p> Signup and view all the answers

<p>Probability sampling involves randomly selecting members of a population while nonprobability sampling does not involve random selection</p> Signup and view all the answers

<p>Simple random sampling involves selecting members of a population based on a specific characteristic while systematic sampling involves randomly selecting a starting point and choosing every nth member</p> Signup and view all the answers

<p>A biased sample is a sample that differs in important characteristics from the population while a representative sample is a sample that closely mirrors or resembles the population</p> Signup and view all the answers

<p>Quota sampling involves identifying pre-existing subgroups, recruiting a specific number of participants from each group, while snowball sampling involves asking participants to help recruit more participants by asking people they know to also participate</p> Signup and view all the answers

<p>Sample distribution is the distribution of observed scores measured from one sample of observed individuals, while sampling distribution is the distribution of all possible scores from all possible individuals in the population.</p> Signup and view all the answers

<p>A theorem that states the distribution of sample means is roughly normal when the sample size is large, even if the population is highly non-normal.</p> Signup and view all the answers

<p>All of the above.</p> Signup and view all the answers

<p>Population distribution is the distribution of all possible scores from all possible individuals in the population, while sampling distribution is the distribution of all possible values of a sample statistic measured from all possible samples of size n.</p> Signup and view all the answers

<p>An extraneous variable that is correlated with levels of the IV and can provide an alternative explanation of the results</p> Signup and view all the answers

<p>To avoid a systematic relationship between the potential confound and the conditions of the study so that differences are due only to chance</p> Signup and view all the answers

<p>A between-subjects design involves each participant doing only one condition of a study, while a within-subjects design involves each participant doing all conditions of a study</p> Signup and view all the answers

<p>To compare the mean of one sample to the mean of a population</p> Signup and view all the answers