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Antoine Tremblay has just released an advanced analysis toolbox: http://onlinelibrary.wiley.com/doi/10.1111/psyp.12299/abstract It's missing about half the features on your list, although fundamentally, spectral density is a simple task and LORETA is a stand-alone package anyways (although similar approaches, e.g. general CSD estimation, are implemented in ...

6

The study design sounds pretty good. Some of the good things you are proposing: Using a repeated measures design will give you more statistical power than a between subjects design, which is particularly useful when your sample size is small. Randomising or counterbalancing for order should mostly control for order effects. Double blind will focus the ...

5

Your question was a loooooong time ago, but I just ran across a couple of good references explaining what backward masking does and how to choose one. This(1) is a great paper examining the neural mechanisms and timing of visual backward masking; according to this (2) 2000 review of masking theory, there are four subtypes of backward masking. Backward ...

5

If n != m then it will not home in on the 50 % threshold. In these simple N-up/N-down staircases, you can modify either the stepsize (as you proposed) or the number of successes/failures to act as a criterion for upgrade/downgrade. A comprehensive introduction to these staircases and the effect of changing these properties can be found in this paper. The 80 ...

5

For an open source JavaScript/HTML/CSS solution, check out jsPsych: http://www.jspsych.org. It can be used for reaction time measurement and interactive designs. An article describing the library was recently published in Behavior Research Methods. de Leeuw, J. R. (2015). jsPsych: A JavaScript library for creating behavioral experiments in a Web browser. ...

4

The number of samples that are necessary for a good parameter estimation does indeed depend on the estimation method. I am not aware of a simple rule of thumb to determine an optimal sample size, but there has been a lot of literature on this topic. A paper that might be a good starting point for a literature search is Van Zandt T. (2000) How to fit a ...

4

Disclaimer: I'm not generally doing experiments where reaction time is the primary DV. But I thought I'd look at this issue and explored RTs from a neuroimaging dataset, and I think the findings are relevant to the question. I think without further qualification, this question doesn't have an answer. Here I've plotted the estimation of reaction time/RT over ...

4

What you are actually asking about is the debate surrounding the question: Can psychological quantities be measured? Up until about 1800 psychological questions where discussed by philosophers. A separate psychological discipline did not yet exist. Answers to questions relating to perception, emotion and cognition where attempted on the basis of religious ...

4

To calculate $d'$, you need to know two things: the hit rate and the false alarm rate. The hit rate is the proportion of trials where the stimulus was present and the subject responded that the stimulus was present. The false alarm rate is the proportion of trials where the stimulus was not present, and the subject responded that the stimulus was present. ...

4

Try the IAPS--International Affective Picture System; they have disgusting images as well as norming procedures and data. You can read about it here and request it (as long as you have a faculty advisor) here.

3

Obviously, this question is highly under-specified. The sample size you need depends a lot on the aims of your analysis. In general, when thinking about sample size requirements, you need to think about power analysis and desired precision of estimation. This in turn requires you to think about your research question and expectations about results (e.g., ...

3

Both the Amsterdam University (UvA) and Radboud University use a public online system for applying for participation in experiments. I forget which system UvA uses, but Radboud uses the sona system (just google it, you can creat an account). There you can see ongoing studies and apply for experiments. Both these cities are big research hubs for neuroimaging. ...

3

There are a range of "adjective checklists" that have been developed to assess affective states, personality traits, or characteristics of individuals. Two of the most widely cited measures are the Multiple Affective Adjective Check List (MAACL) and the Multiple Affective Adjective Checklist-Revised (MAACL-R) (Zuckerman & Lubin, 1965; Zuckerman & ...

3

As mentioned in the other comments, ANOVA is problematic when mixing types of predictor variables. (Generalized) mixed effects models are gaining popularity these days and actually provide a very convenient way for modelling such things. A paper demonstrating the efficacy of this approach as well as giving a tutorial-like introduction is: Davidson, D. J. ...

3

Based on your comments I interpret your question as: "(1) What is the definition of the signal-to-noise-ratio (SNR) and (2) how do I determine the SNR for event-related potential (ERP) amplitudes in an EEG signal?". (1) Signal-to-noise-ratio (SNR) is a term often encountered in electrophysiology (e.g. EEGs) and signal processing and can be loosely defined ...

3

The researchers used a questionnaire to identify daily users, that is, the experimental group contained persons who had used marijuana every day during the past 60 days. The control group, on the other hand, consisted of persons who had not used marijuana at all during the past 60 days. The researchers probably felt that 60 days (that is, three months or a ...

3

Short answer The control subjects were abstinent for at least 60 and 90 days, respectively. Background The article you cite mentions the following in the Materials and Methods, and I quote: From the remaining subjects, age, gender, and AUDIT scores were used to create a matched control group reporting no marijuana use in the past 60 d. A similar ...

2

It's often referred to as "doll therapy" or "play therapy" and applies to adults as much as it does to children. For example, this new product, the "Inner Critic Doll" enables adults to hold a physical manifestation of their inner critic and start a dialogue with it. It has a zipper mouth which can be zipped shut to physically silence this inner voice. The ...

2

Adding to Jeromy's answer, the answer to your question would depend on what you want to study. If you study normal behavior, common to all people, you assign your participants randomly to the experimental and control group. The experimental group receives the factor you want to study (e.g. watches some advertising), while the control group does not, and ...

2

Without knowing exactly what the factor you are interested in is, it is hard to predict how feasible it would be to manipulate it. For example, is it possible to make two videos of the speaker, one with the factor, and one without, with nothing else changing? My guess is that you probably can't do this, so I'm going to focus on how you might be able to run ...

2

There is a program called Paradigm that allows you to build millisecond-accurate neurocognitive experiments for iOS devices. The experiment builder is like E-Prime but easier to use. The app is available in the app store. You upload your experiments to a Dropbox and then log in to access them through the app. It's pretty flexible. I've used it to build ...

2

Tests for malingering are founded on the following assumption: there are symptomps that even the worst illness doesn't include. These tests aim at assessing these symptomps, that are unrealistic, fake. A famous memory test for malingering is Digit Memory Test (Hiscock et al., 1989) It is a very easy test, even a person with Alzheimer can perform well. ...

2

This article by Bobrov et. al seems to be similar to what you are looking for. They were able to classify (at above chance performance) whether subjects were imagining houses or faces. The training protocol is particularly interesting: they started by showing subjects pictures, but then used a feedback process of showing the subjects the output of the ...

2

We just released a beta version of Tatool Web based on JavaScript and HTML 5 which allows for running web experiments in the browser and measuring reaction times. You can check it out on www.tatool-web.com and of course it's open source. http://www.tatool-web.com

2

You may want to take a look at SurveyComet.com and TurkPrime.com. Both offer a pretty nice set of tools to run externally hosted surveys (like on Qualtrics and SurveyMonkey) and allow you to create follow up surveys, exclude previous workers, have specific demographic Panels and much more. A long survey can be broken into two parts. Launch part 1 and later ...

2

TurkPrime.com offers many features for using MTurk through a web interface. You can exclude and include workers, email them, restart survey and more. You can also create an account with SurveyComet.com if you do not reside in the US to find workers for surveys that you want to run. You can limit the workers by demographic which I have found to be extremely ...

2

Crosstalk needs to be taken into consideration, but with reasonable controls it can be made insignificant. Interaural attenuation can vary between less than 40 dB to over 60 dB depending on frequency, the type of headphone, and how well it is coupled to the head. If you have 40 dB of interaural attenuation and present the sounds at less than 40 dB SL ...

2

Praat is free and has been cited in many publications. It's the de facto standard for creating phonetic stimuli.

2

You are looking for Mbrola! It's an open-source, text-based diphone synthesizer. While it doesn't allow you to control subtle information like formant frequency, it's perfect for controlling pitch and duration. The one caveat is that I have yet to get it to work on an Intel-based Mac, but that is primarily because the Windows GUI works so well that I could ...

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