Psychometrics has evolved as a subfield of psychology to become the science of measurement of unobservable individual characteristics.

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5
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147 views

How to quickly identify participants responding randomly to self-report psychometric tests with many items?

Many psychological studies involve getting participants to answer a hundred or more closed ended questions. A standard context would be a personality test with 100 items where each item is answered on ...
4
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0answers
59 views

What's an intuitive way to explain the different types of validity?

Specifically I'm thinking of a simplified division whereby validity is divided into: Construct validity 1a. Convergent validity 1b. Discriminant validity Criterion related validity 2a. Predictive ...
3
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39 views

Does weighted factor analysis exist?

I would like to perform factor analysis on a set of responses to a psychological questionnaire. Is there some method that allows me to "weight" each questionnaire item by how important I believe it is ...
3
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0answers
24 views

Comparing confirmatory factor analysis models with different number of observed variables

I have a 14 item scale that is hypothesized to measure self-esteem. The first model I specify uses all 14 items and predicts one latent factor (i.e., self-esteem). I would then like to specify a ...
3
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39 views

Inter-rater agreement of a gold standard dataset - a ceiling for reliable evaluation of algorithms?

In my field, a dated gold standard dataset is used to track progress in algorithm development. Now when the state-of-the-art algorithms obtain higher correlation than is the inter-rater agreement of ...
3
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135 views

How can IRT-Models be understood in GLM/ SEM Framework? (Predict Learning with added Paradata-Covariates)

I'll be working with data from an intelligent tutor system similar to one studied in the KDD-Cup 2010 on student performance prediction and plan to use IRT models to infer item and ability parameters. ...
3
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138 views

Should I run measurement invariance if confirmatory factor analysis is not affirmative?

I have a repeated measures design for a Likert scale with 10 items. This scale is assumed to be unidimensional and this is one of the research questions along with the scales measurement invariance (...
3
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0answers
448 views

Dealing with poor fit in an Item Response Theory model

I'm studying an online course with about 3000 students who each took several quizzes and I'm trying to apply Item Response Theory (using the ltm package in R) to model the questions, determine which ...
3
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2k views

How to carry out a Likert scale analysis?

Context: My research aims to assess whether parents who have been involved in a relationship with a social worker are at higher risk of child abuse/neglect. I am trying to establish whether there ...
2
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27 views

Appropriateness of Rasch for formative measurement models

I've spent several months thinking about the issue of whether or not it is appropriate to apply Rasch models to formative measurement models, and I'm looking to see whether anybody else has considered ...
2
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0answers
27 views

What measure of test reliability is appropriate if the final test output is not the sum of item scores?

I would like to compute a measure of reliability in the sense of Cronbach's alpha, McDonalds omega or glb. However it seems to me that all these measures assume that the final test score equates to ...
2
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59 views

Combining different raters scores

In my experiment two raters evaluate 100 products, both expressing an "innovation score" on a likert scale (range is 1 to 5, where 1 is "not innovative" and 5 is "disruptive innovation"). I ...
2
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25 views

Estimating and using reliability metric with the same data

I'd like to know if it is reasonable to use the same set of data to estimate and use a reliability metric from repeated measures? I am mostly interesting by the minimal detectable change (MDC). But I ...
2
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62 views

Threshold for psychometric experiment with three (or more) possible choices

I'm running an experiment where subjects are viewing a stimulus, and they have to decide if the stimulus is brighter/darker/identical in respect to a standard image. Stimulus luminosity actually ...
2
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0answers
71 views

How to deal with floor effect

I am in the process of validating a five-items scale for measuring dependence on substance 'X'. I have collected data from 98 people who used the substance under consideration at least once weekly for ...
2
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0answers
640 views

Intra- and inter- observer error, and the intra-class correlation coefficient (ICC)

I have 3 observers, who each perform multiple observations in which they count a phenomenon. I'm trying to quantify both inter- and intra- observer error for this study. I'm new to this and am finding ...
2
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79 views

Is it appropriate to assess internal consistency on related items measured with different response formats within the same instrument?

In my survey, I grouped 67 unique counseling techniques that I thought were related to one another (based on theory and conceptual similarity) into six "counseling domains" using fairly intuitive, ...
2
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145 views

Testing graded response model thresholds for significance?

I have a data set in which two raters have each rated N samples using a 5-point ordinal rating scale. My primary interest is in whether these two raters make significantly different use of those ...
2
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319 views

Maximizing Cronbach alpha to select the number of variables that define a given construct

I can't seem to find this anywhere on the internet or in my books. I'm putting together a construct for an underlying variable. Is it acceptable to have a construct with two variables if that ...
2
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582 views

Fixing error variance in a path analysis to model measurement error in scales using sem package

I want to construct a path analysis model that can account for measurement error in totally aggregated parcels, which refer to parcels where all of the items in a scale are summed or averaged. If I am ...
2
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350 views

How is the proof that the Quartimax/Varimax-rotation converges?

Empirically the quartimax-/varimax-rotation has proven useful and it was always converging in my applications. But from my readings years ago I have a vague remembering, that the fact of a proof of ...
1
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0answers
10 views

(Psychology research) Is it appropriate or coherent to standardize these variables?

I am doing a project where I'm analyzing various lexical dimensions of speech from folktales from 10 countries. And the program, LIWC, returns a value for each category with that value representing ...
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11 views

intraclass correlation (ICC) for level of comprehension of individual items by different raters

I'm currently doing a translation and adaptation of a questionnaire composed of 36 items. After finishing the translation, synthesis and back-translation steps, 40 people randomly selected from a ...
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37 views

How can measure be unreliable but valid?

Some previous research found evidence for the predictive validity of a measure. I've done some work and found the measure to be unreliable. Since reliability provides an upper limit for predictive ...
1
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0answers
38 views

how to remove outliers prior to multiple imputation

A colleague came to me with the following problem. She has a complex, multivariate data set, in which respondents completed a number of measures with anywhere from 6 to 30 Likert type items for each ...
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22 views

Select and weigh questions on a reading assessment

I am a phd student in computer science and as such I am the goto guy for anything "mathy" in the cross discipline research group to which I belong. I have recently been given an assignment at work I'm ...
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9 views

Inter-raters reliability for sentiment analysis lexicon

I have a list of words (more than 2000) which were rated by 4 raters for sentiments like anger (scale from 1 to 5). I run an alpha test on SPSS which gives me a coefficient of >8 which shows a good ...
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19 views

CFA model with systematic temporal correlation between measures

I'm looking to fit CFA models to data in the case where measures have systematic temporal correlations between them. I'm familiar with autoregressive approaches, such as those described on Dave Kenny'...
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44 views

How can Bayesian inference improve upon logistic regression in incorporating psychometric data?

In order to estimate probability of default, banks and other financial institutions have often used logistic regression based on data involving credit history. Suppose an entrepreneur or borrower ...
1
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63 views

What do I do when my second order CFA model is not identified?

I am assessing a measurement model of a three-factor organisational commitment scale for my PhD project. Although congeneric single factor and first order CFA models have produced excellent model fit ...
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72 views

Which CFA model is the best fit in my translation & validation study?

I have translated and adapted a questionnaire (based on a 5 factor model; 23 items) into my native language by following ITC and MAPI guidelines. Forward / backward translation, expert panel review, ...
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20 views

Correction of data using a correlation

Suppose I have measured the outcome variable A using a (psychophysical) test that determines the ability of a subject to discriminate between two stimuli with a certain difference (the variable X). It ...
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0answers
30 views

Is there any research that compares Likert scale questions to “satisfaction” scale questions?

I'm trying to put together a questionnaire for measuring employee satisfaction with an internal process. I'd like to figure out if there is reason to prefer: ...
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46 views

Confidence interval for psychometric binomial GLM model on more than one subject in R

I'm trying to estimate the confidence interval of a psychometric curve (binomial probit GLM), for a population (now only two subjects). Suppose I've subject "a" and subject "b", which performs ...
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32 views

Item Information Distorting Scale

I'm refining a psychometric questionnaire and working to estimate (2PL) IRT parameters for the items in order to score the items. It's a small scale consisting of 5 questions. The MAP and VSS-1 ...
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0answers
29 views

Factor analysis without theoretical congruence

I've been working with certain personality theory, which I'm trying to measure in a sample of students. It's a foreign theory, so I created an instrument for my specific population. I got a Cronbach's ...
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0answers
68 views

Measure difference in answers on survey depending on item response options

For my thesis I sent out a questionnaire that has 10 questions. I set defaults: the first seven question had the default set to the desired answer and the last three questions had the default set to ...
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0answers
23 views

Is there an extension of multinomial process models that can model several dependent variables?

In the setting of psychological experiments, where a categorical response has to be given, the same response can, in theory, be generated by different latent processes. For example, in an experiment ...
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50 views

Map a normal distribution N(x,s) to an ordinal response variable

I am working on a simulation. I am going to extract a series of normally distributed values from a distribution $N(x,s)$ whose mean $x$ and variance $s$ is known. I want to pretend that such ...
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165 views

Confirmatory factor analysis for a newly constructed questionnaire

I am about to develop a new questionnaire with 142 questions I have performed exploratory factor analysis and 30 latent factors were extracted. I was wondering if it is necessary to perform ...
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109 views

how to analyze necessary/sufficient relationship?

Good day! I'm a second year psych grad student. From my fascination with formal logic, I wondered (just personal; not homework) about how to statistically establish necessary/sufficient ...
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220 views

What coefficient could I use to calculate the relative difficulty of a test in relation to others using only mean and population standard deviation?

I have a series of tests, all of them of different difficulty, and from each of them I get an average score and a population standard deviation; e.g: ...
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680 views

Which correlation analysis is appropriate for binary and ordinal variables?

Violin players were asked to rate 5 violins from least to most rich on a [0 1], 0.05-increment scale, ...
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882 views

How to validate a survey when using Likert scale?

I have developed a very simple survey to measure the attitudes of students toward science fairs. It makes use of the Likert Scale and Open Ended Questions. Do you have a recommendation for the type ...
1
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0answers
397 views

Obtaining factor scores from a factor analysis of mixed types (both ordinal and scale) variables

I have to analyze a data set having both ordinal and scale variables. What I was trying to do was to factor analyze the data. The data was in SPSS. But I think SPSS factor analyzes the data by ...
0
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0answers
7 views

How to test if the difference between two logit-function-fits is significant or not?

I am considering a binomial experiment where each trial can only have two possible outputs (0,1). I vary the value of a predictor (experiment parameter) and repeat the experiment several times for ...
0
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0answers
14 views

How can I account for multiple standardized tests being used during a longitudinal study?

I am currently conducting a longitudinal study of the growth of student test scores over time, and many of the districts in my study have switched to a new state assessment. The new assessment and the ...
0
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0answers
30 views

Principal Component Analysis: Scale reliability and validity

I'm using a popular psychometric scale, the Domain Specific Risk Taking (DoSpeRT) scale, that contains 30 items that measure an individual's risk taking capacity across five different dimensions: ...
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0answers
10 views

“*usefulness*” is a bivariate property used in Regression and Anova. Has a generalization (trivariate) analogon been discussed?

Just for selfstudy/exercising of algorithms I looked at the computation of the "usefulness"-measure in multiple regression, which means the part of variance which one independent item contributes to ...
0
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25 views

Scaled vs. unscaled Chi-square statistic in CFA / GRM fit evaluation

I generally want to assess the fit of a CFA model with ordered categorical indicators (the graded response model, GRM). There are two versions of this model, the normal-ogive GRM (ordered CFA with ...