APA Style JARS-Quant Practice Flashcards

Vocabulary practice flashcards generated from 81 APA Style JARS-Quant quiz practice questions.

Title Content (JARS–Quant)

Information identifying the main variables, theoretical issues, relationships, and population studied.

Title Population Identification

Inclusion of the population studied in the title to help readers understand who the findings may apply to.

Author Note Funding Acknowledgment

An item in the Author Note that acknowledges funding or other support received for the study.

Pre-registration Reporting

Registration information reported in the Author Note if the study was registered before data collection.

Conflict of Interest Disclosure

Author Note information reporting relationships or affiliations that may be perceived as conflicts of interest to evaluate possible bias.

Author Note Purpose

A section that can include information important to the reader that does not fit well in another section of the manuscript.

Abstract Objectives

Section of the abstract that states the problem under investigation and main hypotheses.

Abstract Study Method

Section of the abstract that briefly describes sample size, design, materials, outcome measures, and data-gathering procedures.

Abstract Participants

Section of the abstract specifying pertinent participant characteristics for human research.

Abstract Findings

Section of the abstract reporting findings, including effect sizes and confidence intervals or statistical significance levels.

Abstract Conclusions

Section of the abstract stating the implications or applications beyond the raw results.

Secondary Data Analysis Abstract Reporting

Abstract requirement to explicitly indicate when a study is a secondary data analysis.

Introduction Problem Statement

Introduction section explaining the importance of the problem and its theoretical or practical implications.

Review of Relevant Scholarship

Introduction section offering a succinct review of literature and its relation to previous work.

Prior Reporting Clarification

Introduction requirement to clarify differences between the current report and earlier reports if parts were reported earlier.

Hypotheses, Aims, and Objectives

Introduction section specifying specific hypotheses, aims, objectives, and planned analyses.

Design and Hypothesis Alignment

JARS–Quant recommendation to state how research design and hypotheses relate to one another.

Inclusion and Exclusion Criteria Subsection

Method subsection reporting criteria determining who was allowed into or excluded from the study.

Demographic Criteria Restrictions

Restrictions based on demographic characteristics reported under inclusion and exclusion criteria if used.

Participant Characteristics (Human)

Method section reporting major demographic characteristics such as age, sex, ethnicity, and socioeconomic status.

Topic-Specific Characteristics (Education)

Relevant characteristic such as achievement level reported in education-related intervention studies.

Animal Research Participant Characteristics

Method reporting including genus, species, sex, age, weight, physiological condition, genotype, and prior procedures.

Sampling Procedures

Method section describing how participants were selected for the study.

Approached Sample Participation

Sampling detail reporting the percentage of the approached sample that participated.

Self-Selection Level

Sampling detail stating whether self-selection occurred by individuals or units such as schools or clinics.

Settings and Locations

Method information specifying settings and locations where data were collected, reported under Sampling Procedures.

Participant Agreements and Payments

Information described under Sampling Procedures detailing agreements made with and payments provided to participants.

Method Ethical Information

Reporting of IRB agreements, ethical standards, and safety monitoring within the Method section.

Sample Size, Power, and Precision

Method subsection reporting intended sample size and achieved sample size if different.

Sample Size Justification Methods

Methods used to justify sample size, such as power analysis or methods to determine precision of parameter estimates.

Interim Analyses and Stopping Rules

Method procedures that must be explained if used during data collection.

Measures and Covariates Definition

Method subsection defining all primary and secondary measures and covariates.

Unreported Collected Measures

Measures collected but not included in the report, which should be defined or reported as collected.

Data Collection Procedures

Method section describing methods used to collect data.

Quality of Measurements Enhancements

Methods used to enhance data quality, such as training and reliability of data collectors.

Multiple Observations Method

An example of a method used to improve the quality of measurements.

Instrumentation Information

Reporting on instruments including psychometric and biometric properties when relevant.

Ad Hoc Instruments

An instrument created for an individual study, which should be described in the instrumentation section.

Masking Definition

Reporting whether participants, people administering manipulations, and outcome assessors were aware of condition assignments.

Masking Reporting Requirements

Reporting how masking was accomplished and whether success was evaluated if masking took place.

Psychometrics Reliability Coefficients

Estimating and reporting reliability coefficients for the scores analyzed in the researcher's sample, if possible.

Interrater Reliability Evidence

An example of reliability evidence listed under Psychometrics for subjectively scored measures.

Longitudinal Study Reliability Estimate

Test–retest coefficients matching the measurement schedule in longitudinal research.

Composite Scale Reliability Index

Internal consistency coefficients reported for composite scales when appropriate.

Conditions and Design Classification

Stating whether conditions were manipulated or naturally observed.

Randomized Experimental Manipulation JARS Linkage

Linked in JARS–Quant to Table 2 and Module A.

Non-randomized Experimental Manipulation JARS Linkage

Linked in JARS–Quant to Table 2 and Module B.

Randomized Clinical Trial JARS Linkage

Linked in JARS–Quant to Table 2 and Modules A and C.

Nonexperimental Design

Study design with no experimental manipulation, such as observational or epidemiological designs.

Longitudinal Design JARS Linkage

Linked in JARS–Quant to Table 4.

N-of-1 Study JARS Linkage

Linked in JARS–Quant to Table 5.

Replications JARS Linkage

Linked in JARS–Quant to Table 6.

Data Diagnostics Post-Data Exclusion

Criteria established for post-data-collection exclusion of participants, if any.

Missing-Data Imputation Diagnostics

Criteria under Data Diagnostics for deciding when to infer missing data and imputation methods.

Statistical Outliers Processing

Defining and processing statistical outliers reported under Data Diagnostics.

Data Distribution Analyses and Transformations

Analyses of data distributions and possible data transformations reported under Data Diagnostics.

Analytic Strategy Error Protection

Description of inferential statistics and protection against experiment-wise error.

Analytic Strategy Scope

Analytic strategy addressing primary, secondary, and exploratory hypotheses.

Participant Flow Reporting

Reporting the total number of participants in each group at each stage of the study.

Participant Flow Depiction Method

Depicting participant flow using a figure or flowchart when possible.

Recruitment Period Dates

Reporting dates defining periods of recruitment and repeated measures or follow-up.

Missing Data Statistics Reporting

Reporting frequency or percentages of missing data under Statistics and Data Analysis.

Missing Data Mechanisms Classification

Reporting whether data were MCAR, MAR, or MNAR when evidence or theory supports it.

Outcome Descriptive Information Requirements

Reporting total sample/subgroup data, number of cases, means, SDs, and other data characteristics for outcomes.

Null Hypothesis Significance Testing p Values

Reporting exact p values when null hypothesis significance testing is used.

Inferential Test Parameter Estimates

Including effect-size estimates and confidence intervals in inferential tests when possible.

Hypothesis Differentiating in Results

Clearly differentiating tests and estimates for primary, secondary, and exploratory hypotheses.

Complex Analyses Model Details

Reporting details of models estimated for complex analyses such as SEM, HLM, or factor analysis.

Complex Analyses Software Reporting

Reporting the statistical software or package used for complex data analyses.

Analytical Anomalies Reporting

Reporting estimation problems, regression diagnostics, or analytic anomalies along with solutions to those problems.

Adjusted Analyses Planning Status

Indicating whether other adjusted analyses were planned or not planned.

Statistical Assumption Problems Reporting

Reporting problems with statistical assumptions or data distributions when they could affect the validity of findings.

Discussion Hypothesis Support Statement

Including a statement of support or nonsupport for all primary and secondary hypotheses.

Exploratory Analysis Discussion Considerations

Considering substantive findings and uncontrolled error rates when discussing exploratory analyses.

Similarity of Results Section

Discussing similarities and differences between results and work of others.

Interpretation Validity Threats

Taking into account potential bias and threats to internal and statistical validity during result interpretation.

Measurement Protocol Imprecision in Interpretation

Evaluating imprecision of measurement protocols as part of result interpretation.

Test Overlap Considerations in Interpretation

Considering the overall number of tests or overlap among tests during interpretation.

Sample Size Adequacy and Sampling Validity

Evaluating sample size adequacy and sampling validity within the Interpretation section.

Generalizability External Validity Factors

Addressing external validity by considering target population and contextual issues such as setting, measurement, and time.

Implications Section Scope

Discussing implications for future research, program, or policy.