Psychological test and assessment modeling最新文献

{"title":"Development of a Cognitive Screen Item Bank: Assessment of Individuals Across the Cognitive Spectrum, Including Advanced Dementia.","authors":"Jeanne A Teresi, Katja Ocepek-Welikson, Marjorie Kleinman, Mildred Ramirez, Joseph P Eimicke, Stephanie Silver, Jose Luchsinger, Albert Siu, Dan Mroczek, David Cella","doi":"10.2440/001-0024","DOIUrl":"10.2440/001-0024","url":null,"abstract":"<p><p>An item bank of cognitive items targeting the spectrum of cognitive function, with a focus on advanced dementia was developed with data from residents in long term services and supports (LTSS) settings. Latent variable models, including item response theory and factor analyses were applied to fifty items from multiple cognitive screening measures assessing memory, orientation, naming, attention, calculation, and following directions. Because the intent was to use the item bank to measure overall cognition, subdomains were not modeled. Factor analyses tested for essential unidimensionality, followed by application of an item response theory-based graded response model, including differential item functioning to examine measurement equivalence. The total sample size was 6,921, with 1,874 (27.1 %) males and 5,040 (72.9 %) females. The average age was 82.5 (<i>SD</i> = 11.0). There were 1,089 (16.2 %) Black, 498 (7.4 %) Hispanic, and 5,136 (76.4 %) White respondents. The average number of years of education was 9.1 (<i>SD</i> = 5.5). Estimates of reliability across age, education, race, and sex subgroups were high with most > 0.96. Cognitive function of the participants in the study varied from no to minimal impairment (552 or 8.0 %); mild (2,000 or 28.9 %); moderate (2,686 or 38.8 %); severe (1,328 or 19.2 %) to very severe impairment (355 or 5.1 %). Items with low information and substantial DIF were recommended for removal. The final recommended item bank includes 38 items. Future work with this item bank may include development of computerized adaptive tests and short-forms.</p>","PeriodicalId":89843,"journal":{"name":"Psychological test and assessment modeling","volume":"68 ","pages":"3-31"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13459974/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148714967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"PISA reading. Mode effects unveiled in short text responses","authors":"Fabian Zehner, Ulf Kroehne, Carolin Hahnel, Frank Goldhammer","doi":"10.25656/01:20354","DOIUrl":"https://doi.org/10.25656/01:20354","url":null,"abstract":"Psychological test and assessment modeling 62 (2020) 1, S. 85-105 Padagogische Teildisziplin: Empirische Bildungsforschung;","PeriodicalId":89843,"journal":{"name":"Psychological test and assessment modeling","volume":"62 1","pages":"85-105"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69237436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting post-experiment fatigue among healthy young adults: Random forest regression analysis.","authors":"Eun-Young Mun,&nbsp;Feng Geng","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>The current study utilized a random forest regression analysis to predict post-experiment fatigue in a sample of 212 healthy participants (mean age = 20.5, <i>SD</i> = 2.21; 52% women) between the ages of 18 and 30 following a mildly stressful experiment. We used a total of 30 features of demographic variables, lifestyle variables, alcohol and other drug use behaviors and problems, state anxiety and depressive symptoms, and physiological indicators that were lab assessed or self-reported. A random forest regression analysis with 10-fold cross-validation resulted in accurate prediction of post-experiment fatigue (<i>R²</i> equivalent = 0.93) with the average \"out-of-bag\" (OOB) <i>R²</i> = 0.52. Not surprisingly, self-reported pre-experiment fatigue was the most important variable (54%) in the prediction of post-experiment fatigue. Feeling anxious (state anxiety) pre- and post-experiment (3%, 7%), feeling less vigorous post experiment (3%), systolic and diastolic blood pressure (3%, 2%) and LF HRV (2%) assessed at baseline, and self-reported alcohol-related problems (3%) and sleep (2%) additionally contributed to the prediction of post-experiment fatigue. Other remaining input variables had relatively minimal importance. Substantively, this study suggests that complex interactions across multiple systems domains that support regulation may be linked to fatigue. A random forest regression analysis can relatively easily be implemented with a built-in cross-validation function and reveal a web of connections undergirding health behavior and risks.</p>","PeriodicalId":89843,"journal":{"name":"Psychological test and assessment modeling","volume":"61 4","pages":"471-493"},"PeriodicalIF":0.0,"publicationDate":"2019-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7007183/pdf/nihms-1066913.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37627781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"On the Hierarchical Structure of the Original Posner Task","authors":"K. Schweizer, M. Altmeyer, T. Rammsayer, S. Troche","doi":"10.7892/BORIS.95800","DOIUrl":"https://doi.org/10.7892/BORIS.95800","url":null,"abstract":"The investigation of the reaction times obtained by means of the Posner task for measuring the speed of the retrieval of long-term memory contents revealed a hierarchical structure. This investigation also extended to the rule identity condition included in the original Posner task in addition to the commonly known and utilized physical and name identity conditions. Physical identity reaction times, name identity reaction times and rule identity reaction times constituted three first-order factors. The correlations among these first-order factors gave rise to the general second-order factor. Furthermore, there was an additional investigation of the causal effects among the first-order factors. The results suggested the processing stimulated by the physical identity condition as the basic source that contributes directly to the processing stimulated by the name identity condition and indirectly to the rule identity condition. Additionally there was a unique contribution of the name identity condition to the rule identity condition.","PeriodicalId":89843,"journal":{"name":"Psychological test and assessment modeling","volume":"58 1","pages":"485"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71358863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measuring social function in diverse cancer populations: Evaluation of measurement equivalence of the Patient Reported Outcomes Measurement Information System^® (PROMIS^®) Ability to Participate in Social Roles and Activities short form.","authors":"Elizabeth A Hahn, Michael A Kallen, Roxanne E Jensen, Arnold L Potosky, Carol M Moinpour, Mildred Ramirez, David Cella, Jeanne A Teresi","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Conceptual and psychometric measurement equivalence of self-report questionnaires are basic requirements for valid cross-cultural and demographic subgroup comparisons. The purpose of this study was to evaluate the psychometric measurement equivalence of a 10-item PROMIS^® Social Function short form in a diverse population-based sample of cancer patients obtained through the Measuring Your Health (MY-Health) study (<i>n</i> = 5,301). Participants were cancer survivors within six to 13 months of a diagnosis of one of seven cancer types, and spoke English, Spanish, or Mandarin Chinese. They completed a survey on sociodemographic and clinical characteristics, and health status. Psychometric measurement equivalence was evaluated with an item response theory approach to differential item functioning (DIF) detection and impact. Although an expert panel proposed that many of the 10 items might exhibit measurement bias, or DIF, based on gender, age, race/ethnicity, and/or education, no DIF was detected using the study's standard DIF criterion, and only one item in one sample comparison was flagged for DIF using a sensitivity DIF criterion. This item's flagged DIF had only a trivial impact on estimation of scores. Social function measures are especially important in cancer because the disease and its treatment can affect the quality of marital relationships, parental responsibilities, work abilities, and social activities. Having culturally relevant, linguistically equivalent and psychometrically sound patient-reported measures in multiple languages helps to overcome some common barriers to including underrepresented groups in research and to conducting cross-cultural research.</p>","PeriodicalId":89843,"journal":{"name":"Psychological test and assessment modeling","volume":"58 2","pages":"403-421"},"PeriodicalIF":0.0,"publicationDate":"2016-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6136841/pdf/nihms948248.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36496382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measurement Equivalence of the Patient Reported Outcomes Measurement Information System^® (PROMIS^®) Applied Cognition - General Concerns, Short Forms in Ethnically Diverse Groups.","authors":"Robert Fieo,&nbsp;Katja Ocepek-Welikson,&nbsp;Marjorie Kleinman,&nbsp;Joseph P Eimicke,&nbsp;Paul K Crane,&nbsp;David Cella,&nbsp;Jeanne A Teresi","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Aims: </strong>The goals of these analyses were to examine the psychometric properties and measurement equivalence of a self-reported cognition measure, the Patient Reported Outcome Measurement Information System^® (PROMIS^®) Applied Cognition - General Concerns short form. These items are also found in the PROMIS Cognitive Function (version 2) item bank. This scale consists of eight items related to subjective cognitive concerns. Differential item functioning (DIF) analyses of gender, education, race, age, and (Spanish) language were performed using an ethnically diverse sample (<i>n</i> = 5,477) of individuals with cancer. This is the first analysis examining DIF in this item set across ethnic and racial groups.</p><p><strong>Methods: </strong>DIF hypotheses were derived by asking content experts to indicate whether they posited DIF for each item and to specify the direction. The principal DIF analytic model was item response theory (IRT) using the graded response model for polytomous data, with accompanying Wald tests and measures of magnitude. Sensitivity analyses were conducted using ordinal logistic regression (OLR) with a latent conditioning variable. IRT-based reliability, precision and information indices were estimated.</p><p><strong>Results: </strong>DIF was identified consistently only for the item, brain not working as well as usual. After correction for multiple comparisons, this item showed significant DIF for both the primary and sensitivity analyses. Black respondents and Hispanics in comparison to White non-Hispanic respondents evidenced a lower conditional probability of endorsing the item, brain not working as well as usual. The same pattern was observed for the education grouping variable: as compared to those with a graduate degree, conditioning on overall level of subjective cognitive concerns, those with less than high school education also had a lower probability of endorsing this item. DIF was also observed for age for two items after correction for multiple comparisons for both the IRT and OLR-based models: \"I have had to work really hard to pay attention or I would make a mistake\" and \"I have had trouble shifting back and forth between different activities that require thinking\". For both items, conditional on cognitive complaints, older respondents had a higher likelihood than younger respondents of endorsing the item in the cognitive complaints direction. The magnitude and impact of DIF was minimal. The scale showed high precision along much of the subjective cognitive concerns continuum; the overall IRT-based reliability estimate for the total sample was 0.88 and the estimates for subgroups ranged from 0.87 to 0.92.</p><p><strong>Conclusion: </strong>Little DIF of high magnitude or impact was observed in the PROMIS Applied Cognition - General Concerns short form item set. One item, \"It has seemed like my brain was not working as well as usual\" might be singled out for further study. Ho","PeriodicalId":89843,"journal":{"name":"Psychological test and assessment modeling","volume":"58 2","pages":"255-307"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5433382/pdf/nihms855896.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35012001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measurement Equivalence of the Patient Reported Outcomes Measurement Information System^® (PROMIS^®) Anxiety Short Forms in Ethnically Diverse Groups.","authors":"Jeanne A Teresi,&nbsp;Katja Ocepek-Welikson,&nbsp;Marjorie Kleinman,&nbsp;Mildred Ramirez,&nbsp;Giyeon Kim","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>This is the first study of the measurement equivalence of the Patient Reported Outcomes Measurement Information System^® (PROMIS^®) Anxiety short forms in a large ethnically diverse sample. The psychometric properties and differential item functioning (DIF) were examined across different racial/ethnic, educational, age, gender and language groups.</p><p><strong>Methods: </strong>These data are from individuals selected from cancer registries in the United States. For the analyses of race/ethnicity the reference group was non-Hispanic Whites (<i>n</i> = 2,263), the studied groups were non-Hispanic Blacks (<i>n</i> = 1,117), Hispanics (<i>n</i> = 1,043) and Asians/Pacific Islanders (<i>n</i> = 907). Within the Hispanic subsample, there were 335 interviews conducted in Spanish and 703 in English. The 11 anxiety items were from the PROMIS emotional disturbance item bank. DIF hypotheses were generated by content experts who rated whether or not they expected DIF to be present, and the direction of the DIF with respect to several comparison groups. The primary method used for DIF detection was the Wald test for examination of group differences in item response theory (IRT) item parameters accompanied by magnitude measures. Expected item scores were examined as measures of magnitude. The method used for quantification of the difference in the average expected item scores was the non-compensatory DIF (NCDIF) index. DIF impact was examined using expected scale score functions. Additionally, precision and reliabilities were examined using several methods.</p><p><strong>Results: </strong>Although not hypothesized to show DIF for Asians/Pacific Islanders, every item evidenced DIF by at least one method. Two items showed DIF of higher magnitude for Asians/Pacific Islanders vs. Whites: \"Many situations made me worry\" and \"I felt anxious\". However, the magnitude of DIF was small and the NCDIF statistics were not above threshold. The impact of DIF was negligible. For education, six items were identified with consistent DIF across methods: fearful, anxious, worried, hard to focus, uneasy and tense. However, the NCDIF was not above threshold and the impact of DIF on the scale was trivial. No items showed high magnitude DIF for gender. Two items showed slightly higher magnitude for age (although not above the cutoff): worried and fearful. The scale level impact was trivial. Only one item showed DIF with the Wald test after the Bonferroni correction for the language comparisons: \"I felt fearful\". Two additional items were flagged in sensitivity analyses after Bonferroni correction, anxious and many situations made me worry. The latter item also showed DIF of higher magnitude, with an NCDIF value (0.144) above threshold. Individual impact was relatively small.</p><p><strong>Conclusions: </strong>Although many items from the PROMIS short form anxiety measures were flagged with DIF, item level magnitude was low and scale level DIF impact was m","PeriodicalId":89843,"journal":{"name":"Psychological test and assessment modeling","volume":"58 1","pages":"183-219"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5479355/pdf/nihms855893.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35117626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Psychometric Properties and Performance of the Patient Reported Outcomes Measurement Information System^® (PROMIS^®) Depression Short Forms in Ethnically Diverse Groups.","authors":"Jeanne A Teresi,&nbsp;Katja Ocepek-Welikson,&nbsp;Marjorie Kleinman,&nbsp;Mildred Ramirez,&nbsp;Giyeon Kim","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Short form measures from the Patient Reported Outcomes Measurement Information System^® (PROMIS^®) are used widely. The present study was among the first to examine differential item functioning (DIF) in the PROMIS Depression short form scales in a sample of over 5000 racially/ethnically diverse patients with cancer. DIF analyses were conducted across different racial/ethnic, educational, age, gender and language groups.</p><p><strong>Methods: </strong>DIF hypotheses, generated by content experts, informed the evaluation of the DIF analyses. The graded item response theory (IRT) model was used to evaluate the five-level ordinal items. The primary tests of DIF were Wald tests; sensitivity analyses were conducted using the IRT ordinal logistic regression procedure. Magnitude was evaluated using expected item score functions, and the non-compensatory differential item functioning (NCDIF) and T1 indexes, both based on group differences in the item curves. Aggregate impact was evaluated with expected scale score (test) response functions; individual impact was assessed through examination of differences in DIF adjusted and unadjusted depression estimates.</p><p><strong>Results: </strong>Many items evidenced DIF; however, only a few had slightly elevated magnitude. No items evidenced salient DIF with respect to NCDIF and the scale-level impact was minimal for all group comparisons. The following short form items might be targeted for further study because they were also hypothesized to evidence DIF. One item showed slightly higher magnitude of DIF for age: nothing to look forward to; conditional on depression, this item was more likely to be endorsed in the depressed direction by individuals in older groups as contrasted with the cohort aged 21 to 49. This item was also hypothesized to show age DIF. Only one item (failure) showed DIF of slightly higher magnitude (just above threshold) for Whites vs. Asians/Pacific Islanders in the direction of higher likelihood of endorsement for Asians/Pacific Islanders. This item was also hypothesized to show DIF for minority groups. The impact of DIF was negligible. Conditional on depression, the items, worthless and hopeless were more likely to be endorsed in the depressed direction by respondents with less than high school education vs. those with a graduate degree; the magnitude of DIF was slightly above the T1 threshold, but not that of NCDIF. These items were also hypothesized to show DIF in the direction of more feelings of worthlessness by groups with lower education. While the magnitude and aggregate impact of DIF was small, in a few instances, individual impact was observed. Information provided was relatively high, particularly in the middle upper (depressed) tail of the distribution. Reliability estimates were high (> 0.90) across all studied groups, regardless of estimation method.</p><p><strong>Conclusions: </strong>This was the first study to evaluate measurement equivalence o","PeriodicalId":89843,"journal":{"name":"Psychological test and assessment modeling","volume":"58 1","pages":"141-181"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5443256/pdf/nihms855884.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35035550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measurement Equivalence of the Patient Reported Outcomes Measurement Information System^® (PROMIS^®) Pain Interference Short Form Items: Application to Ethnically Diverse Cancer and Palliative Care Populations.","authors":"Jeanne A Teresi,&nbsp;Katja Ocepek-Welikson,&nbsp;Karon F Cook,&nbsp;Marjorie Kleinman,&nbsp;Mildred Ramirez,&nbsp;M Carrington Reid,&nbsp;Albert Siu","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Reducing the response burden of standardized pain measures is desirable, particularly for individuals who are frail or live with chronic illness, e.g., those suffering from cancer and those in palliative care. The Patient Reported Outcome Measurement Information System^® (PROMIS^®) project addressed this issue with the provision of computerized adaptive tests (CAT) and short form measures that can be used clinically and in research. Although there has been substantial evaluation of PROMIS item banks, little is known about the performance of PROMIS short forms, particularly in ethnically diverse groups. Reviewed in this article are findings related to the differential item functioning (DIF) and reliability of the PROMIS pain interference short forms across diverse sociodemographic groups.</p><p><strong>Methods: </strong>DIF hypotheses were generated for the PROMIS short form pain interference items. Initial analyses tested item response theory (IRT) model assumptions of unidimensionality and local independence. Dimensionality was evaluated using factor analytic methods; local dependence (LD) was tested using IRT-based LD indices. Wald tests were used to examine group differences in IRT parameters, and to test DIF hypotheses. A second DIF-detection method used in sensitivity analyses was based on ordinal logistic regression with a latent IRT-derived conditioning variable. Magnitude and impact of DIF were investigated, and reliability and item and scale information statistics were estimated.</p><p><strong>Results: </strong>The reliability of the short form item set was excellent. However, there were a few items with high local dependency, which affected the estimation of the final discrimination parameters. As a result, the item, \"How much did pain interfere with enjoyment of social activities?\" was excluded in the DIF analyses for all subgroup comparisons. No items were hypothesized to show DIF for race and ethnicity; however, five items showed DIF after adjustment for multiple comparisons in both primary and sensitivity analyses: ability to concentrate, enjoyment of recreational activities, tasks away from home, participation in social activities, and socializing with others. The magnitude of DIF was small and the impact negligible. Three items were consistently identified with DIF for education: enjoyment of life, ability to concentrate, and enjoyment of recreational activities. No item showed DIF above the magnitude threshold and the impact of DIF on the overall measure was minimal. No item showed gender DIF after correction for multiple comparisons in the primary analyses. Four items showed consistent age DIF: enjoyment of life, ability to concentrate, day to day activities, and enjoyment of recreational activities, none with primary magnitude values above threshold. Conditional on the pain state, Spanish speakers were hypothesized to report less pain interference on one item, enjoyment of life. The DIF findings confir","PeriodicalId":89843,"journal":{"name":"Psychological test and assessment modeling","volume":"58 2","pages":"309-352"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5625836/pdf/nihms855897.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35421002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Methodological Issues in Examining Measurement Equivalence in Patient Reported Outcomes Measures: Methods Overview to the Two-Part Series, \"Measurement Equivalence of the Patient Reported Outcomes Measurement Information System^® (PROMIS^®) Short Forms\".","authors":"Jeanne A Teresi,&nbsp;Richard N Jones","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>The purpose of this article is to introduce the methods used and challenges confronted by the authors of this two-part series of articles describing the results of analyses of measurement equivalence of the short form scales from the Patient Reported Outcomes Measurement Information System^® (PROMIS^®). Qualitative and quantitative approaches used to examine differential item functioning (DIF) are reviewed briefly. Qualitative methods focused on generation of DIF hypotheses. The basic quantitative approaches used all rely on a latent variable model, and examine parameters either derived directly from item response theory (IRT) or from structural equation models (SEM). A key methods focus of these articles is to describe state-of-the art approaches to examination of measurement equivalence in eight domains: physical health, pain, fatigue, sleep, depression, anxiety, cognition, and social function. These articles represent the first time that DIF has been examined systematically in the PROMIS short form measures, particularly among ethnically diverse groups. This is also the first set of analyses to examine the performance of PROMIS short forms in patients with cancer. Latent variable model state-of-the-art methods for examining measurement equivalence are introduced briefly in this paper to orient readers to the approaches adopted in this set of papers. Several methodological challenges underlying (DIF-free) anchor item selection and model assumption violations are presented as a backdrop for the articles in this two-part series on measurement equivalence of PROMIS measures.</p>","PeriodicalId":89843,"journal":{"name":"Psychological test and assessment modeling","volume":"58 1","pages":"37-78"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5625814/pdf/nihms855874.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35421001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}