IPR revision (all notes)

Choose a study mode

Play Quiz
Study Flashcards
Spaced Repetition
Chat to Lesson

Podcast

Play an AI-generated podcast conversation about this lesson

Questions and Answers

What type of hypothesis predicts that there will be no effect or difference?

  • Alternative hypothesis
  • Null hypothesis (correct)
  • Two-tailed hypothesis
  • One-tailed hypothesis

What is the term for the maximum acceptable probability of making a Type 1 error?

  • P-value
  • Alpha level (correct)
  • Significance level (correct)
  • Confidence interval

What does a p-value of 0.01 indicate?

  • There is a 1% chance of observing the data if the null hypothesis is true. (correct)
  • There is a 1% chance of rejecting the null hypothesis.
  • There is a 99% chance of observing the data if the null hypothesis is true.
  • There is a 99% chance of rejecting the null hypothesis.

What is the most common type of hypothesis used in research?

<p>Two-tailed hypothesis (A)</p> Signup and view all the answers

What is the effect of a confounding variable on a research study?

<p>Confounding variables increase the likelihood of a Type 1 error. (C)</p> Signup and view all the answers

What is a longitudinal design?

<p>A research design where data is collected repeatedly over time. (D)</p> Signup and view all the answers

What type of data has a meaningful zero?

<p>Ratio data (C)</p> Signup and view all the answers

What is a 'false positive' error in hypothesis testing?

<p>Type 1 error (D)</p> Signup and view all the answers

What is the main purpose of the Chi-squared test?

<p>To assess the relationship between two categorical variables. (A)</p> Signup and view all the answers

What is the difference between a one-tailed and a two-tailed hypothesis?

<p>A one-tailed hypothesis predicts the direction of the effect, while a two-tailed hypothesis does not. (D)</p> Signup and view all the answers

Which of the following is NOT a characteristic of a falsifiable hypothesis?

<p>It must be proven true. (B)</p> Signup and view all the answers

What is the statistical significance level generally set at?

<p>0.05 (A)</p> Signup and view all the answers

What kind of research design is most suitable for establishing causal relationships?

<p>Experimental design (B)</p> Signup and view all the answers

What type of data has an order but no standardized difference between categories?

<p>Ordinal data (C)</p> Signup and view all the answers

What does failing to reject the null hypothesis imply?

<p>There is not enough evidence to support the alternative hypothesis. (C)</p> Signup and view all the answers

Which type of error occurs when we conclude that there is an effect when there is actually none?

<p>Type 1 error (D)</p> Signup and view all the answers

Which of the following is NOT a characteristic of the p-value?

<p>It directly measures the likelihood of committing a Type I or Type II error. (C)</p> Signup and view all the answers

What is the primary importance of using appropriate research methods in psychology?

<p>To draw conclusions that are reliable and valid (D)</p> Signup and view all the answers

Which of the following is an example of a qualitative research method?

<p>Interviews focusing on personal experiences (B)</p> Signup and view all the answers

What does the term 'reliability' imply in psychological research?

<p>The consistency and stability of measurement over time (B)</p> Signup and view all the answers

Why is sample selection critical in psychological research?

<p>To represent the larger population accurately (D)</p> Signup and view all the answers

Which of the following statements best describes ethical considerations in research?

<p>They prioritize participants' rights and well-being (A)</p> Signup and view all the answers

What is a characteristic of a valid hypothesis?

<p>It must be specific and define the variables involved. (C)</p> Signup and view all the answers

Which of the following best describes bimodal distribution?

<p>A distribution that shows two distinct peaks. (A)</p> Signup and view all the answers

Why is the normal distribution important in hypothesis testing?

<p>It provides a standard framework for calculating probabilities. (A)</p> Signup and view all the answers

What does a testable hypothesis require?

<p>A hypothesis that can be examined through experiments or observations. (B)</p> Signup and view all the answers

Which statement about hypothesis testing is incorrect?

<p>It can involve proving a hypothesis without supporting data. (C)</p> Signup and view all the answers

What describes a case study focused on unique or significant cases?

<p>Intrinsic (C)</p> Signup and view all the answers

Which type of interview is characterized by open-ended questions and a natural conversation flow?

<p>Unstructured (C)</p> Signup and view all the answers

What is a major advantage of structured interviews?

<p>Easy replication and analysis (A)</p> Signup and view all the answers

What type of research involves the researcher participating in the environment being studied?

<p>Ethnography (C)</p> Signup and view all the answers

Which of the following imposes limitations due to predefined questions?

<p>Structured interviews (B)</p> Signup and view all the answers

What is a notable disadvantage of unstructured interviews?

<p>Difficult to analyze responses (B)</p> Signup and view all the answers

What does thematic analysis help identify?

<p>Patterns across multiple data sources (A)</p> Signup and view all the answers

What is a primary advantage of focus group interviews?

<p>In-depth collective data (B)</p> Signup and view all the answers

What is a key characteristic of content analysis?

<p>Studies communication through various data sources (D)</p> Signup and view all the answers

Which research method has a primary focus on cultural immersion?

<p>Ethnography (C)</p> Signup and view all the answers

What is a common challenge associated with observational research?

<p>Observer bias (D)</p> Signup and view all the answers

What type of qualitative data is collected through existing documents and media?

<p>Secondary data (C)</p> Signup and view all the answers

What is a notable downside of conducting interviews for qualitative research?

<p>Requires skilled interviewers (A)</p> Signup and view all the answers

Which type of interview combines elements of both structured and unstructured formats?

<p>Semi-structured (C)</p> Signup and view all the answers

What does validity refer to in research measurement?

<p>The accuracy of a measure and whether it measures what it is supposed to (D)</p> Signup and view all the answers

Which type of reliability assesses the degree of agreement among different raters?

<p>Inter-rater reliability (C)</p> Signup and view all the answers

What is one of the key ethical principles in research?

<p>Informed consent (D)</p> Signup and view all the answers

In qualitative research, which characteristic emphasizes understanding experiences from the participant's perspective?

<p>Subjectivity (A)</p> Signup and view all the answers

Which method is NOT typically associated with qualitative research?

<p>Surveys with numerical scales (A)</p> Signup and view all the answers

What does external validity refer to in research findings?

<p>The degree to which findings can be generalized to other contexts (D)</p> Signup and view all the answers

Which of the following is a potential threat to reliability in research?

<p>Experimenter effects (C)</p> Signup and view all the answers

Which aspect of qualitative research focuses on establishing patterns or themes within data?

<p>Thematic analysis (A)</p> Signup and view all the answers

What is the purpose of ethics committees in research?

<p>To review research designs for potential risks and benefits (D)</p> Signup and view all the answers

Which of the following is NOT a type of qualitative research method?

<p>Quantitative surveys (A)</p> Signup and view all the answers

What is the primary objective of thematic analysis?

<p>To identify patterns or ideas across multiple data sources (B)</p> Signup and view all the answers

Which aspect is NOT typically managed by an effective moderator during a focus group?

<p>Providing personal opinions on the topics (C)</p> Signup and view all the answers

What differentiates narrative analysis from thematic analysis?

<p>Narrative analysis examines the form and structure of stories (B)</p> Signup and view all the answers

Which of the following is NOT a step in the six-step process of thematic analysis by Braun & Clarke?

<p>Defining and naming research objectives (D)</p> Signup and view all the answers

What does discourse analysis primarily focus on?

<p>How language use reflects or challenges social norms (A)</p> Signup and view all the answers

What is triangulation in the context of observations?

<p>Introducing a third party into the observation process (A)</p> Signup and view all the answers

In which type of analysis would one focus on the arrangement of words and the meaning conveyed?

<p>Discourse analysis (D)</p> Signup and view all the answers

What is the goal of grounded theory analysis?

<p>To develop a theory grounded in data collection (C)</p> Signup and view all the answers

Which of the following methods is typically used to encourage participation in focus groups?

<p>Using probe questions to explore deeper insights (A)</p> Signup and view all the answers

What is the purpose of calculating expected frequencies in a chi-squared test?

<p>To assess the association between observed and expected values. (C)</p> Signup and view all the answers

In a chi-squared test, when is the null hypothesis rejected?

<p>When the p-value is less than or equal to 0.05. (A)</p> Signup and view all the answers

Which of the following is NOT a requirement for conducting a chi-squared test?

<p>Each category must have observations from more than one individual. (B)</p> Signup and view all the answers

What type of errors does setting an alpha level help to minimize in hypothesis testing?

<p>Type I error primarily when set at a=.05. (C)</p> Signup and view all the answers

What is the formula for calculating expected frequencies in a contingency table?

<p>Row total multiplied by column total, divided by grand total. (A)</p> Signup and view all the answers

Which software can be used to conduct a chi-squared test according to the content?

<p>JASP and Excel. (A)</p> Signup and view all the answers

Which statement correctly describes the role of power in hypothesis testing?

<p>It is the probability of correctly rejecting the null hypothesis when it is false. (C)</p> Signup and view all the answers

What is the critical threshold value for p that typically indicates significance in hypothesis testing?

<p>0.05. (B)</p> Signup and view all the answers

Which type of data is suitable for use in a chi-squared test?

<p>Nominal and ordinal data. (D)</p> Signup and view all the answers

What do observed values represent in a chi-squared test?

<p>The actual counts recorded from the sample. (B)</p> Signup and view all the answers

What type of chi-squared test is appropriate when analyzing one categorical variable?

<p>Chi squared goodness of fit test (C)</p> Signup and view all the answers

Which condition must be met regarding expected frequencies for a chi-squared test to be valid?

<p>At least 80% of expected frequencies must be 5 or greater (C)</p> Signup and view all the answers

In a chi-squared test, what does a larger chi-squared value indicate?

<p>Greater difference between observed and expected frequencies (D)</p> Signup and view all the answers

Which of the following is NOT an assumption for conducting a chi-squared test?

<p>The sample is drawn without replacement (B)</p> Signup and view all the answers

What type of table is used when conducting a chi-squared test of association?

<p>Contingency table (C)</p> Signup and view all the answers

For a chi-squared goodness of fit test, what should you do first to analyze the data?

<p>Create a frequency table (D)</p> Signup and view all the answers

Why is it important that the data used in a chi-squared test comes from random sampling?

<p>To eliminate bias and ensure representativeness (D)</p> Signup and view all the answers

What is the primary purpose of conducting a chi-squared test?

<p>To determine if observed frequencies differ from expected frequencies (D)</p> Signup and view all the answers

Which statement about the independence of observations in a chi-squared test is correct?

<p>Each observation must be independent from others (A)</p> Signup and view all the answers

Which of the following is a requirement for a chi-squared test regarding categories?

<p>Categories should not overlap (D)</p> Signup and view all the answers

What is the main purpose of using scientific methods in psychology?

<p>To systematically understand, test, and analyze behavior and experience. (A)</p> Signup and view all the answers

Which type of research design focuses on manipulating variables to establish cause and effect?

<p>Experimental design (B)</p> Signup and view all the answers

What distinguishes quantitative research from qualitative research?

<p>Quantitative research relies on numerical data, while qualitative research does not. (C)</p> Signup and view all the answers

Which of the following best describes a confounding variable?

<p>A variable that overlaps with the independent variable and affects the dependent variable. (B)</p> Signup and view all the answers

What does it mean to operationalize a variable in psychological research?

<p>To make a variable measurable or quantifiable. (D)</p> Signup and view all the answers

What is a key characteristic of descriptive methods in research?

<p>They describe characteristics of behavior or experience. (D)</p> Signup and view all the answers

Why is validity important in psychological research?

<p>It ensures accurate measurement and interpretation of findings. (C)</p> Signup and view all the answers

What role do control groups play in research studies?

<p>They allow researchers to compare against a manipulated group. (A)</p> Signup and view all the answers

Which sampling method gives every individual from the target population an equal chance of selection?

<p>Random sampling (B)</p> Signup and view all the answers

What is a characteristic of longitudinal designs in psychological research?

<p>They repeatedly measure individuals over an extended period. (D)</p> Signup and view all the answers

What is the primary focus of qualitative research?

<p>To explore deep psychological processes and individual experiences. (A)</p> Signup and view all the answers

Which statistical technique might be used to control for extraneous variables in research?

<p>Regression analysis (D)</p> Signup and view all the answers

What is the significance of drawing conclusions about the relationship between the independent variable and dependent variable?

<p>It allows researchers to assess causality and impact. (B)</p> Signup and view all the answers

What is a key focus of qualitative research methods?

<p>Understanding the meaning of experiences (A)</p> Signup and view all the answers

Which method begins without preconceived categories during data collection?

<p>Conventional content analysis (A)</p> Signup and view all the answers

What does thematic analysis primarily focus on?

<p>Identifying themes across participants (D)</p> Signup and view all the answers

What type of data includes distinct, separate values without any intermediate values?

<p>Discrete data (B)</p> Signup and view all the answers

What does Cohen’s kappa measure?

<p>Consistency and agreement among raters (B)</p> Signup and view all the answers

Which of the following is a characteristic of qualitative analysis?

<p>It seeks to capture nuanced phenomena (D)</p> Signup and view all the answers

In the context of data types, which of the following is an example of ordinal data?

<p>Student grades (A)</p> Signup and view all the answers

What is the primary aim of content analysis?

<p>To interpret content of text data subjectively (D)</p> Signup and view all the answers

What is a characteristic of interval data?

<p>It has meaningful and equal intervals between values. (D)</p> Signup and view all the answers

Why can interval data not be used for certain comparisons?

<p>It cannot express how much more one value is than another. (C)</p> Signup and view all the answers

Which principle can qualitative methods uncover that quantitative methods might miss?

<p>Nuance and complexity (C)</p> Signup and view all the answers

Which of the following is an example of ratio data?

<p>Weight of an object (A)</p> Signup and view all the answers

Which of the following is NOT a method of qualitative analysis?

<p>Weighted kappa (C)</p> Signup and view all the answers

What type of qualitative response methodology would be best for categorizing free text data from surveys?

<p>Thematic analysis (B)</p> Signup and view all the answers

What does a true zero indicate in ratio data?

<p>The absence of the quantity being measured. (C)</p> Signup and view all the answers

Which data type is characterized by being collected at specific time intervals?

<p>Time series data (A)</p> Signup and view all the answers

What is the focus of grounded analysis?

<p>Constructing categories based on data (D)</p> Signup and view all the answers

What statistical method is typically used to summarise characteristics of a dataset?

<p>Descriptive statistics (C)</p> Signup and view all the answers

What can be used to generate new hypotheses in qualitative research?

<p>Summary of individual responses (D)</p> Signup and view all the answers

In measures of central tendency, which measure is the least affected by outliers?

<p>Median (D)</p> Signup and view all the answers

Which type of data is categorized but does not have a specific order?

<p>Nominal data (D)</p> Signup and view all the answers

What is the interquartile range (IQR)?

<p>The range of the middle 50% of the data. (D)</p> Signup and view all the answers

What does variance measure in a dataset?

<p>The spread of data points from the mean. (D)</p> Signup and view all the answers

What is the standard deviation in relation to variance?

<p>It is the square root of variance. (D)</p> Signup and view all the answers

Which statement best describes measures of dispersion?

<p>They describe the spread or variability of data points. (C)</p> Signup and view all the answers

What is the difference between descriptive and inferential statistics?

<p>Descriptive statistics summarize data; inferential statistics predict and generalize. (D)</p> Signup and view all the answers

Which of the following is an example of cross sectional data?

<p>Consumer preference surveys conducted in a single month (B)</p> Signup and view all the answers

Which of these characteristics is not associated with ratio data?

<p>Can only represent discrete values. (A)</p> Signup and view all the answers

What is the primary purpose of calculating variance in a dataset?

<p>To measure the degree of consistency within the data (A)</p> Signup and view all the answers

Which function can be used in Excel to directly calculate variance?

<p>VARIANCE (B)</p> Signup and view all the answers

Why is it essential to understand standard deviation along with variance?

<p>Standard deviation provides a direct measure of data consistency. (B)</p> Signup and view all the answers

In statistical analysis, what does a low variability imply?

<p>The observed effect is likely representative of the population. (A)</p> Signup and view all the answers

What does the central limit theorem signify?

<p>Larger sample sizes yield a more accurate sampling distribution of the mean. (D)</p> Signup and view all the answers

What is the shape of a normal distribution characterized by?

<p>A bell-shaped curve (C)</p> Signup and view all the answers

Which of the following accurately defines kurtosis?

<p>The peakness or flattening of the distribution compared to a normal distribution (C)</p> Signup and view all the answers

What does a bimodal distribution indicate?

<p>Two dominant groups or clusters within the data (A)</p> Signup and view all the answers

What is the primary concern when interpreting results from a high within-group variance?

<p>It may obscure meaningful differences due to data noise. (B)</p> Signup and view all the answers

When would the use of inferential statistics be most appropriate?

<p>When making predictions about a larger population (C)</p> Signup and view all the answers

Why might data points not follow a normal distribution?

<p>Outliers can significantly bias the normal shape. (A)</p> Signup and view all the answers

Which of the following is NOT a measure of dispersion?

<p>Mean (A)</p> Signup and view all the answers

What is the primary aim of conducting hypothesis testing in research?

<p>To ascertain if results are statistically significant (B)</p> Signup and view all the answers

What purpose do confidence intervals serve in statistical analysis?

<p>Provide a range of values that likely include the population parameter (B)</p> Signup and view all the answers

Which of the following is NOT a benefit typically associated with correlational research designs?

<p>Establishing direct cause-and-effect relationships between variables. (B)</p> Signup and view all the answers

What is a key distinction between when to use Pearson's r and Spearman's rho in correlational analyses?

<p>Pearson’s <em>r</em> requires the data to be normally distributed, whereas Spearman’s rho does not. (C)</p> Signup and view all the answers

In experimental design, what is the primary reason for randomly assigning participants to different conditions?

<p>To control for extraneous variables and reduce the risk of confounding variables. (A)</p> Signup and view all the answers

For a Chi-squared test of association, what descriptive calculation should be performed in JASP?

<p>Split one of the variables and calculate frequencies using classical contingency table, including expected values. (C)</p> Signup and view all the answers

If a researcher violates several assumptions required for parametric tests, what type of test should they consider using?

<p>A non-parametric test, which makes fewer assumptions about the data. (C)</p> Signup and view all the answers

In the context of hypothesis testing, what does a power of .80 generally indicate?

<p>There is an 80% chance of correctly rejecting a false null hypothesis. (D)</p> Signup and view all the answers

What is the primary purpose of using control groups in experimental designs?

<p>To provide a baseline for comparison and isolate the effect of the independent variable. (C)</p> Signup and view all the answers

What is indicated by a larger Chi-squared value in a Chi-squared test?

<p>A greater difference between observed and expected frequencies. (B)</p> Signup and view all the answers

In a t-test, what does a larger t-value generally suggest?

<p>A statistically significant result, indicating a notable difference between the groups (C)</p> Signup and view all the answers

What key step should be taken after collecting date to decide which statistical test to use?

<p>Check the data for normality, variance, and other parametric assumptions. (D)</p> Signup and view all the answers

What is the purpose of the Shapiro-Wilk test when conducting a t-test?

<p>To determine if the data is normally distributed. (C)</p> Signup and view all the answers

Which type of t-test is appropriate for comparing the means of two related groups?

<p>Paired samples t-test (B)</p> Signup and view all the answers

When might you choose the Wilcoxon test instead of a t-test?

<p>When the data significantly deviates from a normal distribution. (D)</p> Signup and view all the answers

What does Cohen's d measure, and how is it interpreted?

<p>It measures the effect size of a t-test, with values of 0.2, 0.5, and 0.8 indicating small, medium, and large effects, respectively. (B)</p> Signup and view all the answers

In an independent samples t-test, what does the t-statistic primarily indicate?

<p>The magnitude of the difference between the groups, adjusted for variability within the groups. (D)</p> Signup and view all the answers

When conducting an independent samples t-test with unequal group sizes, which adjustment is typically made to the variance calculation?

<p>Using a 'pooled variance'. (C)</p> Signup and view all the answers

What does a non-significant result in the Shapiro-Wilk test of normality suggest when considering the assumptions of a t-test?

<p>The data meets the assumption of normality, making a t-test appropriate. (C)</p> Signup and view all the answers

If the dependent variable (DV) in an independent samples design consists of ordinal data (e.g., Likert scale from 1-5), which test is most appropriate?

<p>Mann-Whitney U test. (A)</p> Signup and view all the answers

What is a critical assumption that must still be met when using non-parametric tests like the Mann-Whitney U test?

<p>Independent observations. (B)</p> Signup and view all the answers

In the context of the Mann-Whitney U test, what does a 'low rank' generally indicate?

<p>A low score on the dependent variable. (C)</p> Signup and view all the answers

When tied values occur in a Mann-Whitney U test, how are ranks typically assigned to these values?

<p>The mean rank is assigned to all tied values. (C)</p> Signup and view all the answers

Beyond simply detecting a statistically significant difference, what additional information does Cohen's d provide when interpreting an independent samples t-test result?

<p>The practical significance or magnitude of the observed difference. (D)</p> Signup and view all the answers

When conducting an independent samples t-test in JASP, what condition regarding Levene's test result is preferred?

<p>A non-significant result, indicating equal variances. (A)</p> Signup and view all the answers

Which of the following actions should be taken when conducting a Mann-Whitney U test in JASP?

<p>Use the 'split groups' function. (A)</p> Signup and view all the answers

In JASP, what should you select under 'Statistics' when performing a Mann-Whitney U test, assuming the default settings?

<p>Deselect mean and select median. (C)</p> Signup and view all the answers

When running an independent samples t-test, which assumptions are assessed?

<p>Normality and homogeneity of variance. (C)</p> Signup and view all the answers

In JASP, what type of data should be moved into the 'Variables' section when preparing for a Mann Whitney U test?

<p>Ordinal data (A)</p> Signup and view all the answers

For what type of study design is a paired samples t-test most appropriate?

<p>Repeated measures design (A)</p> Signup and view all the answers

What is the purpose of creating a 'Difference' column in JASP when conducting a paired samples t-test?

<p>To control for individual differences. (A)</p> Signup and view all the answers

What is the non-parametric equivalent to the paired samples t-test?

<p>Wilcoxon Signed Rank test (A)</p> Signup and view all the answers

In the context of hypothesis testing, what does the t-statistic value represent?

<p>The magnitude of the difference between groups relative to within-group variability (B)</p> Signup and view all the answers

Which information is NOT provided by the t-test?

<p>The direction of the correlation between variables (C)</p> Signup and view all the answers

What crucial assumption must be met even when using non-parametric tests like the Wilcoxon Signed Rank test?

<p>Independent observations (D)</p> Signup and view all the answers

When is it appropriate to consider using the Wilcoxon Signed Rank Test instead of a paired samples t-test?

<p>When the assumption of normality is violated. (B)</p> Signup and view all the answers

What is the purpose of the Shapiro-Wilk test when conducting a paired samples t-test?

<p>To determine whether the differences between paired observations are normally distributed. (C)</p> Signup and view all the answers

When conducting a paired samples t-test, in which situation might you consider changing the alternative hypothesis from the default?

<p>When a one-tailed hypothesis is appropriate. (C)</p> Signup and view all the answers

When conducting a non-parametric test, which measure of central tendency should be reported?

<p>Median (D)</p> Signup and view all the answers

Which of the following types of data is most appropriate for the Wilcoxon signed-rank test?

<p>Ordinal data (D)</p> Signup and view all the answers

What is the purpose of the 't-test family decision tree' in the context of statistical analysis?

<p>To select the most suitable t-test based on the characteristics of the data (C)</p> Signup and view all the answers

In what section of a research report is it appropriate to include an interpretation of the findings in relation to the research question and hypothesis?

<p>Discussion (C)</p> Signup and view all the answers

When reporting the results of a statistical analysis in APA format, what information should NOT be included?

<p>The complete JASP analysis output (A)</p> Signup and view all the answers

According to APA guidelines, what modifications should be made when copying descriptive tables and figures from statistical software into a research report?

<p>Ensuring they adhere to APA style, removing redundant information, numbering them, and providing appropriate titles/labels (C)</p> Signup and view all the answers

Which test is suggested as an alternative to the paired samples t-test when dealing with ordinal data or when normality assumptions are not met?

<p>Wilcoxon signed-rank test (A)</p> Signup and view all the answers

In the context of hypothesis testing, what initial step should researchers take before selecting a specific test?

<p>Check parametric assumptions (C)</p> Signup and view all the answers

What information is crucial to include when describing the variables in a research report?

<p>Describing the IV including its levels, the DV, and the scale options used (B)</p> Signup and view all the answers

Why is it important to address the scale options when describing variables included questionnaires in a report?

<p>To allow for replication and proper interpretation of the data (D)</p> Signup and view all the answers

What does reporting the 'line' of test results in APA style entail?

<p>Summarizing the test results in a specific, standardized format including test statistic, degrees of freedom, and p-value (B)</p> Signup and view all the answers

When interpreting an independent samples t-test, what measure should be reported to indicate the magnitude of the difference between the two groups?

<p>Cohen’s d (B)</p> Signup and view all the answers

How should negative values of Cohen’s d typically be reported and interpreted?

<p>The negative sign can be dropped, as the absolute value describes the effect’s magnitude (C)</p> Signup and view all the answers

What is the Mann-Whitney U test used as an alternative to?

<p>Independent samples t-test (D)</p> Signup and view all the answers

In which situation would it be most appropriate to use the Wilcoxon signed-rank test?

<p>Comparing the medians of two related samples (A)</p> Signup and view all the answers

Why is it important to conduct assumption checks, such as normality and variance tests, before performing a t-test?

<p>To ensure the validity of the t-test results (B)</p> Signup and view all the answers

Flashcards

Research Methods

Systematic approaches to collecting and analyzing psychological data.

Reliability

The consistency of a research method in producing stable results.

Validity

The accuracy of a research method in measuring what it's supposed to measure.

Sample Selection

The process of choosing individuals from a population for research.

Signup and view all the flashcards

Ethical Considerations

Principles guiding researchers to conduct studies without harm to participants.

Signup and view all the flashcards

Bimodal Distribution

A distribution with two different modes or peaks.

Signup and view all the flashcards

Hypothesis Testing

A method for testing a clear, testable statement about variables and outcomes.

Signup and view all the flashcards

Testable Hypothesis

A hypothesis that can be evaluated through experiments or observations.

Signup and view all the flashcards

Specific Variables

Clearly defined elements in a hypothesis that affect outcomes.

Signup and view all the flashcards

Normal Distribution

A symmetrical probability distribution where most observations cluster around the mean.

Signup and view all the flashcards

Test-Retest Reliability

A measure that produces similar results over time for the same individual.

Signup and view all the flashcards

Inter-Rater Reliability

The degree of agreement among different raters evaluating the same phenomenon.

Signup and view all the flashcards

Internal Consistency

How well items on a test measure the same concept.

Signup and view all the flashcards

Face Validity

The measure seems to assess what it is supposed to assess.

Signup and view all the flashcards

Social Desirability Bias

Participants may change answers to be more socially acceptable.

Signup and view all the flashcards

Ethics in Research

Principles that govern the conduct of researchers, ensuring participant welfare.

Signup and view all the flashcards

Informed Consent

Participants are fully informed before agreeing to take part in research.

Signup and view all the flashcards

Qualitative Research

Research focusing on non-numerical data to explore complex human experiences.

Signup and view all the flashcards

Case Study

An in-depth examination of a single case or small number of cases in real-life contexts.

Signup and view all the flashcards

Variance

A measure of how far a set of numbers are spread out from their average value.

Signup and view all the flashcards

Standard Deviation

The square root of variance that indicates data consistency and spread.

Signup and view all the flashcards

Central Tendency

Measures that describe the center of a dataset, including mean, median, and mode.

Signup and view all the flashcards

Dispersion

How spread out the values in a dataset are, e.g., variance and standard deviation.

Signup and view all the flashcards

Inferential Statistics

Use sample data to make inferences or predictions about a larger population.

Signup and view all the flashcards

Descriptive Statistics

Statistical methods that summarize and describe data without generalizing it.

Signup and view all the flashcards

P-value

The probability of obtaining results at least as extreme as the observed results, under the null hypothesis.

Signup and view all the flashcards

Skewness

A measure of the asymmetry of the probability distribution of a real-valued random variable.

Signup and view all the flashcards

Kurtosis

A measure of the 'tailedness' or peak of a distribution, indicating how heavy the tails are.

Signup and view all the flashcards

Sampling Variability

Variations in statistics from different samples drawn from the same population.

Signup and view all the flashcards

Between-Group Variance

Variance observed between different groups due to an experimental manipulation.

Signup and view all the flashcards

Within-Group Variance

Variance that occurs within a single group due to random differences.

Signup and view all the flashcards

Confidence Interval

A range of values derived from sample data that is likely to contain the population mean.

Signup and view all the flashcards

Descriptive Case Study

A detailed account of a specific case without exploring causal relationships.

Signup and view all the flashcards

Explanatory Case Study

Explains reasons behind a phenomenon, focusing on cause and effect.

Signup and view all the flashcards

Intrinsic Case Study

Centers on the unique significance of a specific case, like Genie or Phineas Gage.

Signup and view all the flashcards

Instrumental Case Study

Provides broader insights or helps develop theories from a specific case.

Signup and view all the flashcards

Collective Case Study

Involves multiple cases studied simultaneously to understand a phenomenon across contexts.

Signup and view all the flashcards

Structured Interviews

Controlled interviews with prepared, closed-ended questions and a set order.

Signup and view all the flashcards

Unstructured Interviews

Interviews without set questions, focusing instead on a natural conversation flow.

Signup and view all the flashcards

Semi-Structured Interviews

Blends structured and unstructured formats, allowing for additional questions.

Signup and view all the flashcards

Focus Group Interviews

Collects in-depth data from a small, purposely selected group, encouraging interaction.

Signup and view all the flashcards

Observational Research

Involves recording behaviors in natural settings, may include researcher involvement.

Signup and view all the flashcards

Ethnography

Study of people in their natural environments to explore cultural beliefs and norms.

Signup and view all the flashcards

Content Analysis

Systematic process of analyzing data sources to understand communication patterns.

Signup and view all the flashcards

Thematic Analysis

Identifies patterns or themes across multiple data sets, such as interviews.

Signup and view all the flashcards

Primary Data

Data collected firsthand through methods like interviews and focus groups.

Signup and view all the flashcards

Secondary Data

Analyzing existing documents or data already collected for insights.

Signup and view all the flashcards

Scientific methods

Processes psychologists use for research, including hypothesis, experiment, and analysis.

Signup and view all the flashcards

Empirical research

Research based on observable and measurable behaviors, often published in journals.

Signup and view all the flashcards

Hypothesis

A clear and testable prediction about what is expected to happen in a study.

Signup and view all the flashcards

Theory

A broad explanation of behavior based on multiple studies and evidence.

Signup and view all the flashcards

Experimental design

Research design that manipulates variables to explore cause and effect relationships.

Signup and view all the flashcards

Control group

A group of participants that does not receive the experimental treatment to compare effects.

Signup and view all the flashcards

Independent variable (IV)

The variable that is changed or manipulated in an experiment.

Signup and view all the flashcards

Dependent variable (DV)

The outcome or what is measured in response to changes in the independent variable.

Signup and view all the flashcards

Extraneous variable

Other factors that could influence the dependent variable but are not of primary interest.

Signup and view all the flashcards

Sampling

The process of selecting participants from a target population for research.

Signup and view all the flashcards

Random sampling

Each member of the target population has an equal chance of being selected for a study.

Signup and view all the flashcards

Focus Groups

A method for gathering qualitative data through group discussion.

Signup and view all the flashcards

Effective Moderator

A person who facilitates discussion, encourages input, and manages group dynamics.

Signup and view all the flashcards

Participant Observation

Research method where the observer is involved in the environment being studied.

Signup and view all the flashcards

Narrative Analysis

Examines personal stories to understand meaning and context.

Signup and view all the flashcards

Discourse Analysis

Studies language usage and how it constructs meaning.

Signup and view all the flashcards

Inductive Categories

Data-driven categories formed from emerging patterns during analysis.

Signup and view all the flashcards

Triangulation

Using multiple data sources or observers to enhance research validity.

Signup and view all the flashcards

Thematic Analysis Steps

A structured 6-step process to analyze qualitative data through themes.

Signup and view all the flashcards

Qualitative Analysis

Research method focusing on understanding meanings and experiences rather than numerical data.

Signup and view all the flashcards

Cohen’s Kappa

Statistic that measures inter-rater agreement, accounting for chance; ranges from 0 to 1.

Signup and view all the flashcards

Inductive Thematic Analysis

Approach where themes are generated from raw data without preconceived categories.

Signup and view all the flashcards

Reflexivity

The process of reflecting on one's own influence on the research process and findings.

Signup and view all the flashcards

Grounded Theory

A qualitative research method aimed at developing theories grounded in data systematically gathered.

Signup and view all the flashcards

Binary Data

A type of nominal data with only two possible categories or outcomes.

Signup and view all the flashcards

Nominal Data

Categorical data with no order or ranking; labels only.

Signup and view all the flashcards

Ordinal Data

Categorical data with a specific order but inconsistent intervals; ranked categories.

Signup and view all the flashcards

Exploratory Research

Research aimed at gaining insights and understanding, often without predefined hypotheses.

Signup and view all the flashcards

Fleiss’ Kappa

A statistical measure of agreement among multiple raters, extending beyond two raters.

Signup and view all the flashcards

Summative Content Analysis

Measures frequency of terms used in data; focuses on quantity rather than depth.

Signup and view all the flashcards

Quality of Experience

Focus of qualitative research reflecting how individuals perceive and manage conditions.

Signup and view all the flashcards

Falsifiable

A hypothesis should have a way to be proven wrong.

Signup and view all the flashcards

Null Hypothesis

Predicts no effect, change, or difference in an experiment.

Signup and view all the flashcards

Alternative Hypothesis

Predicts an effect, change, or difference will be found.

Signup and view all the flashcards

One-tailed Hypothesis

An effect is expected, with a specified direction.

Signup and view all the flashcards

Two-tailed Hypothesis

An effect is expected, but the direction is unknown.

Signup and view all the flashcards

Significance Level

Threshold for rejecting the null hypothesis, typically set at 0.05.

Signup and view all the flashcards

Type 1 Error

False positive, rejecting the null hypothesis when it's true.

Signup and view all the flashcards

Type 2 Error

False negative, failing to reject the null hypothesis when it's false.

Signup and view all the flashcards

Chi-squared test

A statistical test to determine if two categorical variables are associated.

Signup and view all the flashcards

Contingency table

A table used to display the frequency distribution of variables to analyze their relationship.

Signup and view all the flashcards

Longitudinal Design

A research method measuring the same subjects repeatedly over time.

Signup and view all the flashcards

Expected values

The theoretical frequency of outcomes based on the total counts and proportions in a contingency table.

Signup and view all the flashcards

Correlational Design

Examines the relationship between variables without manipulation.

Signup and view all the flashcards

Descriptive Methods

Research techniques that describe behaviors or characteristics without manipulation.

Signup and view all the flashcards

Significance level (alpha)

The threshold set for rejecting the null hypothesis, commonly at 0.05.

Signup and view all the flashcards

Power of a test

The probability of correctly rejecting the null hypothesis when it is false, often set to 80%.

Signup and view all the flashcards

Chi-squared Test

Statistical test for frequency of occurrence differences between groups.

Signup and view all the flashcards

Goodness of fit

A measure to determine how well observed data fits a particular distribution or model, often using chi-squared test.

Signup and view all the flashcards

Chi-squared goodness of fit test

A test used when analyzing one categorical variable's frequency distribution.

Signup and view all the flashcards

Chi-squared test of association

A test used to analyze the relationship between two categorical variables.

Signup and view all the flashcards

Expected frequency

The frequency expected under the null hypothesis if categories were random.

Signup and view all the flashcards

Observed frequency

The actual frequency of outcomes recorded in the dataset.

Signup and view all the flashcards

Criteria for chi-squared

Chi-squared tests require categorical data, mutual exclusivity, and expected counts of at least 5.

Signup and view all the flashcards

Degrees of freedom (df)

The number of independent values that can vary in the analysis.

Signup and view all the flashcards

Independence of observations

Each data point is collected independently from others.

Signup and view all the flashcards

Chi-squared value significance

A higher chi-squared value indicates greater difference between observed and expected frequencies.

Signup and view all the flashcards

Interval Data

Numerical data with meaningful intervals but no true zero.

Signup and view all the flashcards

Ratio Data

Numerical data with meaningful intervals and a true zero.

Signup and view all the flashcards

True Zero

A point where the measurement indicates complete absence of the quantity.

Signup and view all the flashcards

Time Series Data

Data collected at specific intervals over time.

Signup and view all the flashcards

Hierarchical Data

Data organized in multiple levels or structures.

Signup and view all the flashcards

Cross Sectional Data

Data collected at one point in time for analysis.

Signup and view all the flashcards

Measures of Central Tendency

Metrics that indicate the center of a dataset.

Signup and view all the flashcards

Mode

The most frequently occurring value in a dataset.

Signup and view all the flashcards

Median

The middle value of an ordered dataset.

Signup and view all the flashcards

Mean

The average of a dataset, calculated by dividing the sum by the count.

Signup and view all the flashcards

Range

The difference between the highest and lowest values in a dataset.

Signup and view all the flashcards

Interquartile Range (IQR)

The range of the middle 50% of data, found between Q1 and Q3.

Signup and view all the flashcards

Benefits of Correlation

Identify patterns, explore associations, and simplify complex data.

Signup and view all the flashcards

Chi-Squared Assumptions

Categorical data; variables are mutually exclusive; minimum expected frequency of 5.

Signup and view all the flashcards

Benefits of Experimental Design

Establish cause-effect, control variables, test hypotheses objectively, and ensure replicability.

Signup and view all the flashcards

Chi-Squared Goodness of Fit

Tests the distribution of a single categorical variable.

Signup and view all the flashcards

Chi-Squared Key Comparison

Observed vs. expected frequencies.

Signup and view all the flashcards

Recommended Statistical Power

80% (0.8) to minimize Type II errors, also false negatives.

Signup and view all the flashcards

Standard P-value

0.05 to minimize Type I errors, also false positives.

Signup and view all the flashcards

Pearson's 'r'

Measures the strength and direction of a linear relationship.

Signup and view all the flashcards

Spearman's Rho

Measures the strength and the direction of a monotonic relationship between two continuous variables.

Signup and view all the flashcards

Shapiro-Wilk Test Metric

Distribution near .5 distribution plot is normal.

Signup and view all the flashcards

One Sample T-test

Compares one group's mean to a known value.

Signup and view all the flashcards

Independent Samples T-test

Compares the means of two independent groups.

Signup and view all the flashcards

Paired Samples T-test

Compares means of two related groups.

Signup and view all the flashcards

Parametric Test Requirements

Interval/Ratio (Continuous data) & data is normally distributed.

Signup and view all the flashcards

Independent t-test

A t-test used to compare the means of two independent groups, where different participants are in each group.

Signup and view all the flashcards

T-statistic

A statistical measure of the size of the difference between two groups relative to the variability within the groups.

Signup and view all the flashcards

P-value in t-tests

Indicates the probability of obtaining the observed results (or more extreme) if the null hypothesis is true.

Signup and view all the flashcards

Cohen's d

Measures the magnitude of the difference between groups in standard deviation units.

Signup and view all the flashcards

Mann-Whitney U test

A non-parametric test used as an alternative to the independent t-test when data is not normally distributed.

Signup and view all the flashcards

Shapiro-Wilk Test

A test used to assess if a sample comes from a normally distributed population.

Signup and view all the flashcards

Rank-based Tests

Scores are ranked from lowest to highest, and calculations are based on these ranks rather than raw data.

Signup and view all the flashcards

Tied Values (Ranking)

Assign the average of the ranks that would have been assigned if they were distinct.

Signup and view all the flashcards

Distribution plots

Plots used to visualize data distribution and identify outliers.

Signup and view all the flashcards

Boxplot

A visual tool to identify outliers in a dataset.

Signup and view all the flashcards

Levene's test

A test to check if variances are equal across groups.

Signup and view all the flashcards

Wilcoxon Signed-Rank Test

A non-parametric alternative to the paired samples t-test.

Signup and view all the flashcards

One-tailed test

A directional prediction in hypothesis testing.

Signup and view all the flashcards

Sign Test

A non-parametric test; not supported by JASP.

Signup and view all the flashcards

Normality Tests

Assess whether the data follows a normal distribution, a key assumption for parametric tests.

Signup and view all the flashcards

Effect Size

A statistic that quantifies the size of the difference between two groups.

Signup and view all the flashcards

Research Process Summary

A series of steps involving research questions, methods, hypotheses, data collection, analysis, and interpretation to answer your research question.

Signup and view all the flashcards

Reporting the Mean

Descriptive statistics that represent the average value of a dataset, used with parametric data.

Signup and view all the flashcards

Reporting the Median

Descriptive statistics that represent the middle value of a dataset when data are not normally distributed, used with non-parametric data.

Signup and view all the flashcards

Reporting Research Results

Briefly describing the analysis used, research question, variables, assumption checks, test results, descriptive statistics, and interpretation.

Signup and view all the flashcards

IV Definition

The Independent Variable, the factor that is manipulated in the experiment.

Signup and view all the flashcards

DV Definition

The Dependent Variable, the resulting data that is being measured.

Signup and view all the flashcards

Assumption Checks

Tests to assess assumptions about data distribution: Normality is assumed when data is distributed equally.

Signup and view all the flashcards

Report Medians!

The use of the median value instead of the mean in reporting results when dealing with non-parametric tests.

Signup and view all the flashcards

Study Notes

Independent Samples T-Test

  • Recruits different participants into each condition (between-group design).
  • If group sizes are unequal, a 'pooled variance' is used in the formula.
  • Provides a t-statistic value (measures the size of the difference between groups relative to within-group variability).
  • Offers a p-value to assess the statistical significance (probability of obtaining the result if the null hypothesis is true).
  • Calculates effect size (Cohen’s d) to show the magnitude and practical importance of the difference.

Interpreting the T-Value

  • A larger observed t-value suggests statistical significance.

Non-Parametric Equivalent is the Mann-Whitney U Test

  • Used when data are not normally distributed or the dependent variable (DV) is ordinal (e.g., Likert scale).
  • The Shapiro-Wilks test of normality should ideally show a non-significant result to proceed with parametric tests.
  • Still requires independent observations, and outliers can be problematic if there are many errors.
  • Converts scores to ranks, then compares the sums of the ranks of the groups.
  • Low rank represents a low score, and high rank represents a high score.

Calculating Mann-Whitney U Test

  • Assign ranks to each score, averaging ranks for tied values.
  • Sort data into groups for analysis.

JASP for Independent Samples T-Test

  • Descriptive statistics include basic and distribution plots (box plot), and the Shapiro-Wilks test.
  • Check for outliers using the boxplot function.
  • For Mann Whitney use the ‘split groups’ function.
  • To perform the analysis: T Tests → Independent Samples T-Test and input the grouping variable.
  • Tests for normality and equality of variances (Levene’s test); a non-significant result is desired.
  • Output includes the Student's t-test, effect size (Cohen’s d), and a bar plot.

JASP for Non-Parametric Equivalent (Mann-Whitney U Test)

  • Generate descriptive statistics.
  • Move ordinal data into the variables section and the group into the group section.
  • In Statistics, deselect mean and select median.
  • Create basic plots and boxplots (label outliers).
  • Perform the Shapiro-Wilks test.
  • Select Mann Whitney U test under the "Classical" options.

Paired Samples T-Test (Repeated or Within-Subjects Design)

  • Examples include one-tailed scenarios where participants exercising for six months are compared to those exercising for one month.

Calculating

  • Matched pairs are used. Each person can be analyzed before and after the manipulation.
  • Measures the size of the difference between groups relative to within-group variability.
  • Provides a p-value to assess the statistical significance (probability of obtaining the result if the null hypothesis is true).
  • Calculates effect size (Cohen’s d) to show the magnitude and practical importance of the difference.
  • Analyzes the difference between paired observations, controlling for individual differences.

Non-Parametric Equivalent is the Wilcoxon Signed Rank Test

  • Used if data are not normally distributed or the DV is ordinal.
  • Relies on independent observations and is sensitive to outliers and errors.
  • Calculate Wilcoxon signed rank test

JASP for Paired Samples T-Test

  • Transfer interval data.
  • Descriptive statistics: include distribution plots that display density.
  • Use Shapiro-Wilks test and box plots (label outliers).
  • Homogeneity of variance is not applicable.
  • Create a new column for "Difference" by computing one variable minus the other.
  • Conduct descriptive analysis on the "Difference".

JASP Parametric Equivalent (Wilcoxon Sign Test)

  • Input ordinal data.
  • View a distribution plot that displays density.
  • Conduct the Shapiro-Wilks test.
  • Deselect mean and select median.
  • For hypothesis testing, change the hypothesis if a one-tailed test is used.

Interpretation and Write-Up

Independent T-Test Assumptions

  • Include whether there are two groups, one DV (continuous), independence, no significant outliers, normal distribution, and homogeneity of variance.

Summary

  • Design a method defining the IV and DV, participant allocation, design type, and data type, considering parametric assumptions; non-parametric alternatives if assumptions are violated.
  • Use the t-test family decision tree to select the appropriate analysis test, then calculate the test statistic, and obtain the p-value and effect size.
  • For parametric tests, report the mean; for non-parametric tests, report the median.
  • Follow APA guidelines for reporting descriptive and inferential results, including the interpretation and reference to the research question and hypothesis.
  • Do not paste the JASP analysis test output directly into reports.
  • Tables and figures from JASP must be edited to meet APA standards and should be numbered with appropriate titles and legends.
  • Exclude assumptions checks such as normality figures or distribution graphs; instead, report the Shapiro-Wilk test results.

How to Report T-Test Results

  • State the type of analysis/test used, measurement details, and research question.
  • Summarize assumption checks.
  • Report the test results.
  • Clarify significance based on the p-value.
  • Report appropriate descriptives.
  • Interpret findings in relation to the research question/hypothesis.
  • For non-parametric tests, report median data.
  • For one sample t-tests, the test value will be a single score.
  • Cohen’s d effect size does not require a negative sign.

Studying That Suits You

Use AI to generate personalized quizzes and flashcards to suit your learning preferences.

Quiz Team

More Like This

Research Methods Terminology Quiz
22 questions
Psychological Research Methods
25 questions

Psychological Research Methods

ProminentRisingAction6996 avatar
ProminentRisingAction6996
Use Quizgecko on...
Browser
Browser